title: Assembly of functional diversity in an oceanic island flora

abstract: Oceanic island floras are well-known for their morphological peculiarities and exhibit striking examples of trait evolution1,2. These morphological shifts are commonly attributed to insularity and thought to be shaped by biogeographical processes and evolutionary histories of oceanic islands1,3. However, the mechanisms through which biogeography and evolution have shaped the distribution and diversity of plant functional traits remain unclear. Here, we describe the functional trait space of an oceanic island flora (Tenerife, Canary Islands, Spain) using extensive field and laboratory measurements, and relate it to global trade-offs in ecological strategies. We find that the island trait space is concentrated around a functional hotspot dominated by shrubs with a conservative life-history strategy. By dividing the island flora into species groups with distinct biogeographical distributions and diversification histories, our results reveal that long-distance dispersal, and the interplay between inter-island dispersal and archipelago-level speciation processes drive functional divergence and expand trait space. Conversely, speciation via cladogenesis has overall led to functional convergence, densely packing trait space around shrubbiness. Our approach combines ecology, biogeography and evolution and opens avenues for new trait-based insights into how dispersal and speciation shape the assembly of native island floras.


title: Predicting the pathogenicity of missense variants using features derived from AlphaFold2

abstract: Each individual genome harbors multiple missense variants, which can be systematically identified via genome or exome sequencing. This class of genetic variation can alter the functional properties of the respective protein, and thereby lead to clinically relevant phenotypes, such as cancer or Mendelian diseases. Despite advances in computational prediction scores, the classification of missense variants as clinically significant or benign remains a major challenge. Recently, the structure of the human proteome was derived with unprecedented accuracy using the artificial intelligence system AlphaFold2. However, the question of whether AlphaFold2 structures can improve the accuracy of computational pathogenicity prediction for missense variants remains unclear. To address this, we first engineered a set of features for each amino acid from these structures. We then trained a random forest to distinguish between proxy-benign and proxy-pathogenic missense variants derived from gnomAD. This yielded a novel AlphaFold2-based pathogenicity prediction score, termed AlphScore. Important feature classes used by AlphScore are solvent accessibility, amino acid network related features, features describing the physicochemical environment, and AlphaFold2s quality parameter (pLDDT). AlphScore alone showed lower performance than existing scores, such as CADD or REVEL. However, when AlphScore was added to those scores, the performance always increased, as measured by the approximation of deep mutational scan data, as well as the prediction of expert-curated missense variants from the ClinVar database. Overall, our data indicate that the integration of AlphaFold2 predicted structures can improve pathogenicity prediction of missense variants.

category: genetics


title: Genome Editing Is Induced in a Binary Manner in Single Human Cells

abstract: Even when precise nucleotide manipulations are intended, the outcomes of genome editing can be diverse, often including random insertions and deletions. The combinations and frequencies of these different outcomes in single cells are critical not only in the generation of genetically modified cell lines but also in the evaluation of the clinical effects of genome editing therapies. However, current methods only analyze cell populations, not single cells. Here, we utilized the Single Particle isolation System (SPiS) for the efficient isolation of single cells to systematically analyze genome editing results in individual human cultured cells. As a result, we discovered that genome editing induction has a binary nature, that is, the target alleles of cells tend to be all edited or not edited at all. This study enhances our understanding of the induction mechanism of genome editing and provides a new strategy to analyze genome editing outcomes in single cells.

category: bioengineering


title: Feeding desensitizes A1 adenosine receptors in adipose through FOXO1-mediated transcriptional regulation

abstract: Adipose tissue is a critical regulator of energy balance that must rapidly shift its metabolism between fasting and feeding to maintain homeostasis. Adenosine has been characterized as an important regulator of adipocyte metabolism primarily through its actions on A1 adenosine receptors (A1R). We sought to understand the role A1R plays in adipocytes during fasting and feeding to regulate glucose and lipid metabolism by using an inducible, adiponectin-Cre with Adora1 floxed mice (FAdora1-/-), where F designates a fat-specific deletion. Fadora1-/- mice had impairments in the suppression of lipolysis by insulin on normal chow and impaired glucose tolerance on high-fat diet. FAdora1-/- mice also exhibited a higher lipolytic response to isoproterenol than WT controls when fasted, but not after a 4-hour refeeding period. We found that FOXO1 binds to the A1R promoter in adipocytes. Upon feeding, signaling along the insulin-Akt-FOXO1 axis leads to a rapid downregulation of A1R transcript and desensitization of adipocytes to A1R agonism. Obesity also desensitizes adipocyte A1R, and this is accompanied by a disruption of cyclical changes in A1R transcription between fasting and refeeding. We propose that FOXO1 drives high A1R expression under fasted conditions to limit excess lipolysis during stress and augment insulin action upon feeding. Subsequent downregulation of A1R under fed conditions facilitates reentrance into the catabolic state upon fasting.

category: physiology


title: Introduction of a condensed, reverse tricarboxylic acid cycle for additional CO2 fixation in plants

abstract: Plants employ the Calvin-Benson cycle (CBC) to fix atmospheric CO2 for the production of biomass. The flux of carbon through the CBC is limited by the activity and selectivity of ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO). Alternative pathways that do not use RuBisCO to fix CO2 exist but occur only in anaerobic microorganisms. Rather than modifying existing routes of carbon metabolism in plants, we have developed a synthetic carbon fixation cycle that does not exist in nature, but is inspired by metabolisms of bacterial autotrophs. This synthetic cycle uses endogenous plant metabolites to fix CO2 and yield glyoxylate as a product. In this work, we build and characterize a condensed, reverse tricarboxylic acid (crTCA) cycle in vitro and in planta. We demonstrate that a simple, synthetic cycle can be used to fix carbon in vitro under aerobic and mesophilic conditions and that these enzymes retain activity when expressed transiently in planta. We then evaluate stable transgenic lines of Camelina sativa that have both phenotypic and physiologic changes. Transgenic C. sativa are shorter than controls with increased rates of photosynthetic CO2 assimilation and changes in photorespiratory metabolism. This first iteration of a build-test-learn phase of the crTCA cycle provides promising evidence that this pathway can be used to increase photosynthetic capacity in plants.

category: plant biology


title: Developmental changes in cerebral NAD and neuroenergetics of an antioxidant compromised mouse model of schizophrenia

abstract: Defects in essential metabolic regulation for energy supply, increased oxidative stress promoting excitatory/inhibitory imbalance and phospholipid membrane dysfunction have been implicated in the pathophysiology of schizophrenia (SZ). The knowledge about the developmental trajectory of these key pathophysiological components and their interplay is important to develop new preventive and treatment strategies. However, this assertion is so far limited. To investigate the developmental regulations of these key components, we assessed, for the first time, in vivo redox state from the oxidized (NAD+) and reduced (NADH) form of Nicotinamide Adenine Dinucleotide (NAD), energy and membrane metabolites, neurotransmitters ({gamma}-aminobutyrate and glutamate) by 31P and 1H MRS during the neurodevelopment of a SZ animal model with genetically compromised glutathione synthesis (gclm-KO mice). When compared to age-matched wild type (WT), an increase in NAD+/NADH redox ratio was found in gclm-KO mice until early adulthood, followed by a decrease in full adults as observed in patients. Especially, in early postnatal life (P20, corresponding to childhood), levels of several metabolites were altered in gclm-KO mice, including NAD+, ATP, phosphocreatine, intracellular pH, glutamine + glutamate and membrane phospholipids components, suggesting an interactive compensation for redox dysregulation between NAD, energy metabolism, and neurotransmission. The identified temporal neurometabolic regulations provide insights in preventive treatment targets for at-risk individuals, and other neurodevelopmental disorders involving oxidative stress and energetic dysfunction.

category: neuroscience


title: The Trypanosoma brucei RNA-binding protein DRBD18 ensures correct mRNA trans splicing and polyadenylation patterns

abstract: The parasite Trypanosoma brucei grows as bloodstream forms in mammals, and as procyclic forms in tsetse flies. Transcription is polycistronic, all mRNAs are trans spliced, and polyadenylation sites are defined by downstream splicing signals. Expression regulation therefore depends heavily on post-transcriptional mechanisms. The RNA-binding protein DRBD18 was previously implicated in the export of some mRNAs from the nucleus in procyclic forms. It copurifies the outer ring of the nuclear pore, mRNA export factors and exon-junction-complex proteins. We show that for >200 mRNAs, DRBD18 depletion caused preferential accumulation of versions with shortened 3-untranslated regions, arising from use of polyadenylation sites that were either undetectable or rarely seen in non-depleted cells. The shortened mRNAs were often, but not always, more abundant in depleted cells than the corresponding longer versions in normal cells. Their appearance was linked to the appearance of trans spliced, polyadenylated RNAs containing only downstream 3-untranslated-region-derived sequences. Experiments with one mRNA suggested that nuclear retention alone, through depletion of MEX67, did not affect mRNA length, suggesting a specific effect of DRBD18 on processing. Since DRBD18-bound mRNAs were enriched in polypyrimidine tract motifs, and it is found in both the nucleus and the cytoplasm, we suggest that DRBD18 acts in the nucleus by binding to polypyrimidine tracts in 3-UTRs. DRBD18 binding might both prevent polypyrimidine tract recognition by splicing factors, and promote export of the bound RNAs to the cytosol.

category: molecular biology


title: Pervasive impacts of climate change on the woodiness and ecological generalism of dry forest plant assemblages

abstract: Climate emergency is a significant threat to biodiversity in the 21st century, but species will not be equally affected. In summing up different species responses at the local scale, we can assess changes in the species quantity and composition of biotic assemblages. Here we investigated climate change driven variation in species richness and spatial beta-diversity using modelled distributions of 2,841 plant species in Caatinga, the largest dry forest region of South America. More than 99% of plant assemblages were projected to lose species by 2060, with biotic homogenisation [boxh] the decrease in spatial beta-diversity forecasted in 40% of the Caatinga. Replacement of narrow-range woody species by wide-range non-woody ones should impact at least 85% of Caatinga plant assemblages. The future increase in aridity will change patterns of woodiness and ecological generalism of tropical dry forest plant assemblages, and ultimately erode ecosystem services linked to biomass productivity and carbon storage.

category: ecology


title: SNARE assembly enlightened by cryo-EM structures of a synaptobrevin-Munc18-1-syntaxin-1 complex

abstract:
Munc18-1 forms a template to recruit and organize assembly of the SNARE complex that triggers neurotransmitter release, binding first to a closed conformation of syntaxin-1 where its N-terminal region interacts with the SNARE motif, and later binding to synaptobrevin. However, the mechanism of SNARE complex assembly remains unclear. Here we report two cryo-EM structures of Munc18-1 bound to cross-linked syntaxin-1 and synaptobrevin. The structures allow visualization of how syntaxin-1 opens and reveal how part of the syntaxin-1 N-terminal region can help nucleate interactions between the N-termini of the syntaxin-1 and synaptobrevin SNARE motifs while their C-termini bind to distal sites of Munc18-1. Mutagenesis, SNARE complex assembly assays and reconstitution experiments support a model whereby these interactions are critical to initiate SNARE complex assembly.

One Sentence SummaryCryo-EM structures reveal key insights into the molecular mechanism of neuronal SNARE complex assembly templated by Munc18-1

category: biophysics


title: EGFR-MAPK adaptor proteins mediate the epithelial response to Candida albicans via the cytolytic peptide toxin, candidalysin

abstract: Candida albicans (C. albicans) is a dimorphic human fungal pathogen that can cause severe oropharyngeal candidiasis (OPC, oral thrush) in susceptible hosts. During invasive infection, C. albicans hyphae invade oral epithelial cells (OECs) and secrete candidalysin, a pore-forming cytolytic peptide that is required for fungal pathogenesis at mucosal surfaces. Candidalysin induces cell damage and activates multiple MAPK-based innate signaling events that collectively drive the production of downstream inflammatory mediators. The activities of candidalysin are also dependent on the epidermal growth factor receptor (EGFR), but how these signals are integrated is undefined. Here, we identified five essential adaptor proteins as key mediators of the epithelial response to C. albicans infection on cultured OECs, including growth factor receptor bound protein 2 (Grb2), Grb2-associated-binding protein 1 (Gab1), Src homology and collagen (Shc), SH2 containing protein tyrosine phosphatase-2 (Shp2) and casitas B-lineage lymphoma (c-Cbl). All these signaling effectors were inducibly phosphorylated in response to C. albicans, in a candidalysin-dependent mechanism but additionally required EGFR phosphorylation, matrix metalloproteinases (MMPs) and cellular calcium flux. Of these, Gab1, Grb2 and Shp2 were the dominant drivers of ERK1/2 signaling and production of downstream cytokines. Together, these results identify the key adaptor proteins that drive EGFR signaling mechanisms, which determine oral epithelial responses to C. albicans.

category: microbiology


title: Protein Optimization Evolving Tool (POET) based on Genetic Programming

abstract: Proteins are used by scientists to serve a variety of purposes in clinical practice and laboratory research. To optimize proteins for greater function, a variety of techniques have been developed. For the development of reporter genes used in Magnetic Resonance Imaging (MRI) based on Chemical Exchange Saturation Transfer (CEST), these techniques have encountered a variety of challenges. Here we develop a mechanism of protein optimization using a computational approach known as "genetic programming". We developed an algorithm called Protein Optimization Evolving Tool (POET). Starting from a small library of literature values, use of this tool allowed us to develop proteins which produce four times more MRI contrast than what was previously state-of-the-art. Next, we used POET to evolve peptides that produced CEST-MRI contrast at large chemical shifts where no other known peptides have previously demonstrated contrast. This demonstrated the ability of POET to evolve new functions in proteins. Interestingly, many of the peptides produced using POET were dramatically different with respect to their sequence and chemical environment than existing CEST producing peptides, and challenge prior understandings of how those peptides function. This suggests that unlike existing algorithms for protein engineering that rely on divergent evolution, POET relies on convergent evolution.

category: synthetic biology


title: Phenotypic Characterization of Liver Sinusoidal Endothelial Cells on the Human Liver-Chip for Potential in vitro Therapeutic Antibody Pharmacology Applications

abstract: Liver plays a vital role in the human immune system, in the internalization and catabolic clearance of therapeutic antibodies and antibody-bound immune complexes via Fc-receptor (FcR) binding on the hepatic reticuloendothelial system cells. This Fc portion of the antibody binding to FcR in the liver initiates the clearance of these antibodies or immune complexes, which is vital in the context of half-life, dosing interval, efficacy, and safety of therapeutic antibodies. The liver sinusoidal endothelial cells (LSECs) express scavenging receptors that recognize, bind, and internalize an enormous diversity of extracellular ligands. The Fc gamma receptor Fc{gamma}RIIB or CD32B on LSECs is responsible for the clearance of a large majority of IgG-bound immune complexes in the liver. Investigating the pharmacological effects of antibody clearance via human liver in vitro has been challenging due to the lack of reliable long-term LSEC culture protocols. Human LSECs downregulate the expression of CD32B rapidly in vitro in traditional 2D LSEC mono- and co-cultures. We describe a Liver-Chip model with a co-culture of primary human LSECs and hepatocytes to recreate the liver microenvironment and extend the viability and function of LSECs, including CD32B expression levels, for a duration that is relevant for assessing the pharmacokinetics (PK) of therapeutic antibodies. Our results show that the expression of CD32B can differ based on experimental variables such as the source of primary cells (donor), passage number or source of detection antibodies used to visualize CD32B and shear stress. The CD32B expression was maintained for 14 days on the Liver-Chip in a donor-dependent but passage number independent manner. The Scanning Electron Microscopy (SEM) imaging showed the presence of fenestrae structures - one of the hallmarks of LSEC function. Key LSEC markers, including CD32B expression, were validated through flow cytometry.


title: Robust differential composition and variability analysis for multisample cell omics

abstract:
Cell omics such as single-cell genomics, proteomics and microbiomics allow the characterisation of tissue and microbial community composition, which can be compared between conditions to identify biological drivers. This strategy has been critical to unveiling markers of disease progression such as cancer and pathogen infection. For cell omic data, no method for differential variability analysis exists, and methods for differential composition analysis only take a few fundamental data properties into account. Here we introduce sccomp, a generalised method for differential composition and variability analyses able to jointly model data count distribution, compositionality, group-specific variability and proportion mean-variability association, with awareness against outliers. Sccomp is an extensive analysis framework that allows realistic data simulation and cross-study knowledge transfer. Here, we demonstrate that mean-variability association is ubiquitous across technologies showing the inadequacy of the very popular Dirichlet-multinomial modelling and provide mandatory principles for differential variability analysis. We show that sccomp accurately fits experimental data, with a 50% incremental improvement over state-of-the-art algorithms. Using sccomp, we identified novel differential constraints and composition in the microenvironment of primary breast cancer.

Significance statementDetermining the composition of cell populations is made possible by technologies like single-cell transcriptomics, CyTOF and microbiome sequencing. Such analyses are now widespread across fields (~800 publications/month, Scopus). However, existing methods for differential abundance do not model all data features, and cell-type/taxa specific differential variability is not yet possible. Increase in the variability of tissue composition and microbial communities is a well-known indicator of loss of homeostasis and disease. A suitable statistical method would enable new types of analyses to identify component-specific loss of homeostasis for the first time. This and other innovations are now possible through our discovery of the mean-variability association for compositional data. Based on this fundamental observation, we have developed a new statistical model, sccomp, that enables differential variability analysis for composition data, improved differential abundance analyses, with cross-sample information borrowing, outlier identification and exclusion, realistic data simulation, based on experimental datasets, cross-study knowledge transfer.

category: bioinformatics


title: PANDORA: a fast, anchor-restrained modelling protocol for peptide:MHC complexes

abstract:
Deeper understanding T-cell mediated adaptive immune responses bears important implications in designing cancer immunotherapies and antiviral vaccines against pandemic outbreaks. T cells fire when they recognize foreign peptides that are presented on the cell surface by Major Histocompatibility Complexes (MHC), forming peptide:MHC (pMHC) complexes. 3D structure of pMHC complexes provides fundamental insight of T-cell recognition mechanism and aids immunotherapy design. High MHC and peptide diversities necessitate efficient computational modelling to enable whole proteome structural analysis.

Here we present PANDORA, a robust pMHC structure modelling pipeline. Given a query, PANDORA searches for structural templates in its extensive database and then applies anchor restraints to the modelling process. This restrained energy minimization ensures one of the fastest pMHC modelling pipelines so far. On a set of 835 pMHC-I complexes over 78 MHC types, PANDORA generated models with a median RMSD of 0.68 [A] and achieved a 93% success rate in top 10 models. PANDORA performs competitively with three pMHC-I modelling state-of-the-art approaches and outperforms AlphaFold in terms of accuracy while being superior to it in speed. PANDORA is a modularized and user-configurable python package with easy installation. We envision PANDORA to fuel deep learning with large-scale high-quality 3D models to tackle long-standing immunology challenges.


title: Mice regulate their attentional intensity and arousal to exploit increases in task utility

abstract: AO_SCPLOWBSTRACTC_SCPLOWTo meet their survival needs, organisms must continuously select which sensory stimuli to attend to and decide how much attention to pay. Attentions selective aspect has been a cornerstone of behavioral and physiological study, whereas attentional intensity is poorly understood. Autonomic arousal is thought to strongly influence attentional intensity, but evidence is lacking, including regarding if and how organisms self-regulate their arousal to match attentional intensity to its utility. Here, we developed an auditory attentional intensity task for head-fixed mice and vary task utility by changing reward size. We record pupil size and walking speed as proxies of arousal and exploration, respectively. Using simple performance metrics and sequential sampling modeling, we find that mice increase their attentional intensity during periods of high task utility. The utility-related attentional boost is partially mediated by stabilization of pupil-linked arousal around an optimal mid-sized level, and an associated reduction in exploratory behavior. In sum, self-regulation of arousal partially implements strategic attentional intensity allocation.


title: Species invasiveness and community invasibility of US freshwater fish fauna revealed via trait-based analysis

abstract: While biological invasions are recognized as a major threat to global biodiversity, determining species abilities to invade new areas (species invasiveness) and the vulnerability of those areas to invasions (community invasibility) are still poorly understood. Here, we used trait-based analysis to profile invasive species and quantify the community invasibility for >1,800 North American freshwater fish communities. We show that species with higher reproduction rates, longer life spans and larger sizes tend to be more invasive. Community invasibility peaked when the functional distance among native species was high, leaving unoccupied functional space for the establishment of potential invaders. Invasion success is therefore governed by both the functional traits of non-native species determining their invasiveness, and by the functional characteristics of the invaded community determining its invasibility. Considering those two determinants together will allow better predictions of invasions.


title: TrmB family transcription factor as a thiol-based regulator of oxidative stress response

abstract:
Oxidative stress causes cellular damage including DNA mutations, protein dysfunction and loss of membrane integrity. Here we discovered TrmB (transcription regulator of mal operon) family proteins (Pfam PF01978) composed of a single winged-helix DNA binding domain (InterPro IPR002831) can function as thiol-based transcriptional regulators of oxidative stress responses. Using the archaeon Haloferax volcanii as a model system, we demonstrate that the TrmB-like OxsR is important for recovery of cells from hypochlorite stress. OxsR is shown to bind specific regions of genomic DNA, particularly during hypochlorite stress. OxsR-bound intergenic regions were found proximal to oxidative stress operons including genes associated with thiol relay and low molecular weight thiol biosynthesis. Further analysis of a subset of these sites, revealed OxsR to function during hypochlorite stress as a transcriptional activator and repressor. OxsR was shown to require a conserved cysteine (C24) for function and to use a CG-rich motif upstream of conserved BRE/TATA box promoter elements for transcriptional activation. Protein modeling suggested the C24 is located at a homodimer interface formed by antiparallel  helices, and that oxidation of this cysteine would result in the formation of an intersubunit disulfide bond. This covalent linkage may promote stabilization of an OxsR homodimer with the enhanced DNA binding properties observed in the presence of hypochlorite stress. The phylogenetic distribution TrmB family proteins, like OxsR, that have a single winged-helix DNA binding domain and conserved cysteine residue suggests this type of redox signaling mechanism is widespread in Archaea.

ImportanceTrmB-like proteins, while not yet correlated with redox stress, are found in bacteria and widespread in archaea. Here we expand annotation of a large group of TrmB-like single winged-helix DNA binding domain proteins from diverse archaea to function as thiol-based transcriptional regulators of oxidative stress response. Using Haloferax volcanii as a model, we reveal the TrmB-like OxsR functions during hypochlorite stress as a transcriptional activator and repressor of an extensive gene co-expression network associated with thiol relay and other related activities. A conserved cysteine residue of OxxR serves as the thiol-based sensor for this function and likely forms an intersubunit disulfide bond during hypochlorite stress that stabilizes a homodimeric configuration with enhanced DNA binding properties. A CG-rich DNA motif in the promoter region of a subset of sites identified to be OxsR-bound is required for regulation; however, not all sites have this motif suggesting added complexity to the regulatory network.


title: Effect of paclitaxel treatment on cellular mechanics and morphology of human oesophageal squamous cell carcinoma of South African origin in 2D and 3D environments

abstract:
During chemotherapy, structural and mechanical changes in malignant cells have been observed in several cancers, including leukaemia, pancreatic and prostate cancer. Such cellular changes may act as physical biomarkers for chemoresistance and cancer recurrence. This study aimed to determine how exposure to paclitaxel affects the intracellular stiffness of human oesophageal cancer of South African origin in vitro. A human oesophageal squamous cell carcinoma cell line WHCO1 was cultured on glass substrates (2D) and in collagen gels (3D) and exposed to paclitaxel for up to 48 hours. Cellular morphology and stiffness were assessed with confocal microscopy, visually aided morpho-phenotyping image recognition, and mitochondrial particle tracking microrheology at 24 and 48 hours. In the 2D environment, the intracellular stiffness was higher for the paclitaxel-treated than for untreated cells at 24 and 48 hours. In the 3D environment, the paclitaxel-treated cells were stiffer than the untreated cells at 24 hours, but no statistically significant differences in stiffness were observed at 48 hours. In 2D, paclitaxel-treated cells were significantly larger at 24 and 48 hours and more circular at 24 but not at 48 hours than the untreated controls. In 3D, there were no significant morphological differences between treated and untreated cells. The shape heterogeneity was lower for paclitaxel-treated than untreated cells in 3D and similar for the treated and untreated groups in 2D. Future studies with patient-derived primary cancer cells and prolonged drug exposure will help identify physical cellular biomarkers to detect chemoresistance onset and assess therapy effectiveness in oesophageal cancer patients.

InsightMechanical changes in cancer cells brought on by chemotherapeutic drug exposure offer possible physical biomarkers to detect chemoresistance and cancer recurrence. This first study on human oesophageal squamous cell carcinoma of South African origin indicated that in vitro paclitaxel treatment induced stiffening and enlarging of the malignant cells in two-dimensional environments at 24 and 48 hours. In physiologically more relevant three-dimensional collagen matrices, however, the paclitaxel treatment led to cellular stiffening at 24 hours but softening after that, without significant changes in cellular size at any time. The in vitro environments influence on experimental outcomes needs to be considered in further studies with prolonged drug exposure and patient-derived primary cancer cells.

category: cancer biology


title: Engineering of Sr33 and Sr50 plant immune receptors to alter recognition specificity and autoactivity

abstract: Plants possess cytoplasmic immune receptors called nucleotide-binding leucine-rich repeat receptors (NLRs) that recognize the presence of a pathogen through a range of mechanisms: direct binding of effectors or indirect recognition of effector actions. The direct binding of effectors has been shown to be mediated through the NLRs leucine-rich repeat (LRR) domain. Accurate prediction of amino acids involved in these direct interactions can greatly enhance understanding of effector recognition and inform efforts to engineer new resistance. In this study, we utilized two homologous NLR resistance genes from wheat, Sr33 and Sr50, that recognize distinct effectors by directly binding to them through their LRR domain. While the effector recognized by Sr50 is known and described as AvrSr50, the effector recognized by Sr33 remains unknown. Through a combination of phylogenetics, allele diversity analysis in the LRR and structural modeling, we identified the amino acids in Sr50 likely to physically interact with its effector. Mutation of these sites helped identify 12 amino acids we hypothesized to be sufficient to mediate effector binding in Sr50. Changing these 12 corresponding amino acids in Sr33, we showed AvrSr50-dependent initiation of cell death in wheat protoplasts and Nicotiana benthamiana. Furthermore, we were able to pinpoint and change amino acid residues that govern autoactivity of Sr50 in the wheat protoplast cell death assay. These findings are a major advance towards the successful engineering of new effector recognition specificities in direct binder NLRs.


title: Chromosomal integration of blaCTX-M genes in diverse Escherichia coli isolates recovered from river water in Japan

abstract: Occurrence of extended-spectrum {beta}-lactamase (ESBL)-producing Escherichia coli (ESBLEC) in environmental waters is of great concern. However, unlike clinical ESBLEC, their genetic characteristics, in particular the genetic contexts of ESBL genes, are not well understood. In this study, we sequenced and analyzed the genomes of CTX-M-producing E. coli isolates recovered from river water to fully characterize the genetic contexts of blaCTX-M genes. Among the 14 isolates with completed genomes, blaCTX-M genes were detected on the chromosome in nine isolates. All but one chromosomal blaCTX-M genes were associated with ISEcp1 and were carried on different transposition units (TPU) ranging in size from 2,855 bp to 11,093 bp; the exception, blaCTX-M-2, was associated with ISCR1. In many cases, the TPU were directly inserted into chromosomes. However, in one case, the TPU was part of a 36-kbp multiresistance region bracketed by IS26, and the whole multiresistance region was inserted into the chromosome. We also found a case where a chromosomally-located TPU and an adjacent region had transposed into another chromosomal location, leading to duplication of blaCTX-M. The remaining five isolates carried blaCTX-M genes on epidemic IncI1 plasmids of different STs (ST3, ST16, ST113, and ST167) (n = 4) or on an IncB/O/K/Z plasmid (n = 1). This study revealed that environmental E. coli carry blaCTX-M genes in diverse genetic contexts. Apparent high prevalence of chromosomal blaCTX-M potentially indicates that some environmental E. coli can stably maintain blaCTX-M genes in the absence of antibiotic selection pressure, though further studies are needed to confirm this.


title: Distinctive roles of translesion polymerases DinB1 and DnaE2 in diversification of the mycobacterial genome through substitution and frameshift mutagenesis.

abstract: Antibiotic resistance of Mycobacterium tuberculosis is exclusively a consequence of chromosomal mutations. Translesion synthesis (TLS) is a widely conserved mechanism of DNA damage tolerance and mutagenesis, executed by translesion polymerases such as DinBs. In mycobacteria, DnaE2 is the only known agent of TLS and the role of DinB polymerases is unknown. Here we demonstrate that mycobacterial DinB1 abets insertion and deletion frameshift mutagenesis in homo-oligonucleotide runs. DinB1 is the primary mediator of spontaneous -1 frameshift mutations in homo-oligonucleotide runs whereas DnaE2 and DinBs are redundant in DNA damage-induced -1 frameshift mutagenesis. DinB1 also promotes missense mutations conferring resistance to rifampicin, with a mutational signature distinct from that of DnaE2. These results highlight DinB1 and DnaE2 as drivers of mycobacterial genome diversification with relevance to antimicrobial resistance and host adaptation.


title: Putative SET-domain methyltransferases in Cryptosporidium parvum and histone methylation during infection

abstract:
Cryptosporidium parvum is a major cause of an intestinal pathology called cryptosporidiosis which affects humans and other vertebrates. Despite being declared as a public health problem by World Health Organization (WHO) since 2006, pathogenesis caused by this parasite remains poorly understood. More recently, C. parvum has been linked with oncogenesis. In particular, the mechanisms involved in the processes of gene expression regulation are completely unexplored in Cryptosporidium. In the current study, we took the opportunity to investigate a dynamic epigenetic modification called histone lysine methylation during the life cycle of the parasite. We successfully identified putative SET-domain containing proteins, lysine methyltransferases (KMTs), which catalyze the methylation of different lysine residues. Phylogenetic analysis classified them into distinct subfamilies namely CpSET1, CpSET2, CpSET8, CpKMTox and CpAKMT. Structural analysis further characterized CpSET1, CpSET2 and CpSET8 to be histone lysine methyltransferases (HKMTs). Their functional significance was predicted by using site-specific methyl-lysine antibodies during development of the parasite (CpSET1:H3K4; CpSET2:H3K36; CpSET8:H4K20). In particular, the SET domain of CpSET8 showcased methyltransferase activity confirming the existence of functional HKMTs in Cryptosporidium. Moreover, the consequence of C. parvum infection on the host lysine methylation events highlights the inherit potential of the parasite to exploit the host epigenetic regulation to its advantage. Thus, this study is the first one to provide insights on epigenetics mechanisms occurring throughout the parasites life cycle and during the interaction with its host. As Cryptosporidium is a protozoan that significantly affects the health of both humans and animals, a better understanding of its developmental processes within the definitive host may highlight novel infection control strategies.

Author SummaryCryptosporidium species have a very compact genome (~9.2 Mb) unlike its apicomplexan homologs such as Toxoplasma (~63 Mb). Moreover, the lack of large families of transcriptional factors requires them to heavily rely on chromatin remodeling components for its gene regulation. Thus, study and identification of novel elements which contribute to chromatin dynamics could assist a better understanding of the biology of this parasite. In the current study we investigated histone lysine methylation, a dynamic epigenetic modification which regulates gene activation as well as repression. More importantly, characterizing the enzymes which bring about this regulation, provides potential new druggable targets to attack the parasite.


title: Downregulation of the secreted protein with an altered thrombospondin repeat (SPATR) impacts the infectivity of malaria sporozoites

abstract: The identification of surface proteins of the sporozoite stage of malaria parasites important for sporozoite infectivity could aid in the improvement of the efficacy of vaccines targeting pre-erythrocytic stages. Thus, we set out to disclose the role of the secreted protein with an altered thrombospondin repeat (SPATR), which is highly expressed in sporozoites. Previous studies showed an essential function in blood stages, while no role was detected in sporozoites despite high expression. To achieve downregulation of expression in sporozoites while maintaining blood stage expression, a promoter swap approach was used to generate a mutant where the Plasmodium berghei spatr gene was placed under transcriptional control of the hado gene promoter. Downregulation of expression in oocysts and sporozoites resulted in formation of sporozoites with impaired motility, strongly reduced capacity to invade salivary glands, and decreased infectivity to mice. In conclusion, we revealed a new role for SPATR in sporozoite infectivity, highlighting the importance to use complementary methods in studies on sporozoite biology.


title: Effects of immunomodulatory peptides derived from a soil bacterium on cecal microbiota of broilers challenged with Clostridium perfringens

abstract: Brevibacillus texasporus peptide (BT peptide) is immunomodulatory in poultry as a feed additive to substitute antibiotics. In the present study we performed 16S rRNA gene sequencing to compare development of the cecal microbial communities in Clostridium perfringens-challenged broilers fed basal diet only or with either BT peptide (48 ppm) or antibiotics mixture (20 ppm bacitracin zinc and 40 ppm colistin sulfate). 240 chicks were randomly assigned into each treatment and a total of 65 cecal samples were collected at the beginning, during seven challenge days and one week post challenge. The composition of microbial communities was clearly distinguishable over time. Treatments with challenge and the antibiotics mixture were associated with increased diversity and with higher relative abundances of Alistipes sp. CHKCI003 and Faecalibacterium and lower abundance of Escherichia coli (all p < 0.05). At the termination of the trial, the cecal microbiota in broilers supplemented with BT peptide was dominated by members of Bacteroidaceae. Predicted function analysis reveals significant enrichment of genes involved in ion-coupled transporters and sugar and biotin metabolism in the BT peptide treatment. Taken together, our results suggest that BT peptide and commonly used antibiotics have different influences on modulating the composition of cecal microbiota in broilers.


title: Transcriptional circuitry of NKX2-1 and SOX1 defines an unrecognized lineage subtype of small cell lung cancer

abstract:
RationaleThe current molecular classification of small cell lung cancer (SCLC) based on expression of four lineage transcription factors still leaves its major subtype SCLC-A as a heterogeneous group, necessitating more precise characterization of lineage subclasses.

ObjectivesTo refine the current SCLC classification with epigenomic profiles and to identify features of the re-defined SCLC subtypes.

MethodsWe performed unsupervised clustering of epigenomic profiles on 25 SCLC cell lines. Functional significance was evaluated by cell growth, apoptosis and xenograft using CRISPR-Cas9-mediated deletion. The specific cistromic profiles by ChIP-seq and its functional transcriptional partners using co-immunoprecipitation followed by mass spectrometry were determined. Rb1fl/flTrp53fl/fl and Rb1fl/flNkx2-1fl/fl mouse models were engineered to explore the function of Nkx2-1 in tumor initiation and differentiation. H3K27ac profiles were analyzed to reveal 6 human SCLC specimen and 20 mice tumors epigenomic landscapes.

Measurements and Main ResultsWe identified an epigenomic subclusters of the major SCLC-A subtype, named SCLC-A and SCLC-A{sigma}. SCLC-A was characterized by the presence of a super-enhancer at the NKX2-1 locus, which was observed in human SCLC specimens and a murine SCLC model. We found NKX2-1, a dual lung and neural lineage factor, is uniquely relevant in SCLC-A. We further found maintenance of this neural identity in SCLC-A is mediated by collaborative transcriptional activity with another neuronal transcriptional factor SOX1.

ConclusionsWe comprehensively describe an additional epigenomic heterogeneity of the major SCLC-A subtype, and define SCLC-A subtype by the core regulatory circuitry representing NKX2-1 and SOX1 super-enhancers and their functional collaborations to maintain neuronal linage state.


title: Possible Mechanism of Porosome-Mediated Exosome Release

abstract: Supramolecular cup-shaped lipoprotein structures called porosomes embedded in the cell plasma membrane mediate fractional release of intra-vesicular contents from cells during secretion. The presence of porosomes, have been documented in many cell types including neurons, acinar cells of the exocrine pancreas, growth hormone secreting cells of the pituitary, and mouse insulin-secreting beta cell insulinomas called Min6. Electron micrographs of the nerve terminal in rat brain and of Min6 cells, suggest that besides the docking, fusion and content release of neurotransmitter containing synaptic vesicles and insulin containing granules, multi-vesicular bodies and exosome-like vesicles are released at the porosome complex. To test this hypothesis, the porosome-associated calcium transporting ATPase 1 [SPCA1] encoded by the ATP2C1 gene, was knocked-out in Min6 cells using CRISPR, to study glucose-stimulated insulin and exosome release. In agreement with electron micrographs, results from the study demonstrate a loss of both glucose-stimulated insulin and exosome release in the ATP2C1 knockout Min6 cells. These results further confirm the role of the porosome complex in insulin secretion and establishes a new paradigm in porosome-mediated exosome release in beta cells of the endocrine pancreas.

category: cell biology


title: LOXL2-dependent deacetylation of aldolase A induces metabolic reprogramming and tumor progression

abstract: Lysyl-oxidase like-2 (LOXL2) regulates extracellular matrix remodeling and promotes tumor invasion and metastasis. Altered metabolism is a core hallmark of cancer, however, it remains unclear whether and how LOXL2 contributes to tumor metabolism. Here, we found that LOXL2 and its catalytically inactive L2{Delta}13 splice variant also function as novel deacetylases that trigger metabolic reprogramming during malignant transformation. Integrated transcriptomic and metabolomic analysis revealed that L2{Delta}13-overexpressing transgenic mice displayed perturbed glucose and lipid metabolism, which was associated with increased hepatic fibrosis and enhanced formation of precancerous lesions induced by chemical carcinogens, such as carbon tetrachloride and N-nitrosomethylbenzylamine. Furthermore, both LOXL2 and L2{Delta}13 boosted glucose metabolism of esophageal tumor cells, thereby facilitating tumor cell proliferation in vitro and in vivo. Mechanistically, LOXL2 and L2{Delta}13 interacted physically with several glycolic proteins including aldolase A to enhance their enzymatic activities and mobilization from the actin cytoskeleton. Using SILAC followed by proteomic analysis, we identified LOXL2 as a deacetylase targeting metabolic proteins in esophageal cancer. Importantly, both LOXL2 and L2{Delta}13 directly catalyzed the deacetylation of aldolase A at K13, resulting in enhanced glycolysis which subsequently reprogramed tumor metabolism and promoted tumor progression. High level expression of LOXL2/L2{Delta}13 combined with decreased acetylation of aldolase-K13 predicted poor clinical outcome in patients with esophageal cancer. In summary, we have characterized a novel molecular mechanism that mediates the pro-tumorigenic activity of LOXL2 independently of its classical amine oxidase activity. These findings may enable the future development of therapeutic agents targeting the metabolic machinery via LOXL2 or L2{Delta}13.


title: Revealing cell populations catching the early stages of the human embryo development in naive pluripotent stem cells

abstract:
Naive human pluripotent stem cells (hPSCs) are defined as the in vitro counterpart of the human preimplantation embryos epiblast and are used as a model system to study developmental processes. In this study, we report the discovery and characterization of distinct cell populations coexisting with epiblast-like cells in 5iLAF naive human induced PSCs (hiPSCs) cultures. Noteworthily these populations closely resemble different cell types of the human embryo at early developmental stages. While epiblast-like cells represented the main cell population, interestingly we detected a cell population with gene and transposable element expression profile closely resembling the totipotent 8-Cell (8C) stage human embryo, and three cell populations analogous to trophectoderm (TE) cells at different stages of their maturation process: transition, early and mature stage. Thus, 5iLAF naive hiPSCs cultures provide an excellent opportunity to model the earliest events of human embryogenesis, from the 8C stage to the peri-implantation period.

Graphical abstract

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title: The shifting epigenetic landscape and roles of key transcription factors during early retinal cell differentiation

abstract: During development, all retinal cell types emerge from multipotent retinal progenitor cells (RPCs) following distinct trajectories. Each lineage is subject to regulation by multiple intrinsic and extrinsic factors, which converge onto the epigenetic landscape to dictate the collective gene expression profile and thereby the phenotypes of individual cell states/types. Recent scRNA-seq studies have further delineated these trajectories, providing a general picture of the relationships between the different cell states/types and revealing a transitional RPC state shared by all the early lineages. Nevertheless, how the epigenetic landscape shifts along individual trajectories is only beginning to be disseminated, and the roles of key transcription factors in these shifts are not known. In this study, we dissect the changes of the epigenetic landscape along these trajectories in the early developing retina by scATAC-seq and identify globally the enhancers, enriched motifs, and potential interacting transcription factors underlying the cell state/type specific gene expression in individual lineages, with a focus on retinal ganglion cells (RGCs). Using CUT&Tag-seq, we further identify the enhancers bound directly by four key transcription factors, Otx2, Atoh7, Pou4f2, and Isl1, and uncover their roles in shaping the epigenetic landscape to control gene expression in a sequential and combinatorial fashion during RGC genesis. These results provide experimental support for a general paradigm in which transcription factors collaborate and compete to regulate the emergence of distinct retinal cell types such as RGCs from the multipotent transitional RPCs.

category: developmental biology


title: Cell size asymmetries in the sea star embryo

abstract: Cell size asymmetries are often linked to cell fate decisions, due to cell volumes and cell fate determinants being unequally partitioned during asymmetric cell divisions. A clear example is found in the sea urchin embryo, where a characteristic and obvious unequal 4th cleavage generates micromeres, which are necessary for mesendoderm cell fate specification. Unlike sea urchin development, sea star development is generally thought to have only equal cleavage. However, subtle cell size asymmetries can be observed in sea star embryos; whether those cell size asymmetries are consistently produced during sea star development and if they are involved in cell fate decisions remains unknown. Using confocal live imaging of early embryos we quantified cell size asymmetries in 16-cell stage embryos of two sea star species, Patiria miniata and Patiriella regularis. Using photoconversion to perform lineage tracing, we find that the position of the smallest cells of P. miniata embryos is biased toward anterior ventral tissues. However, both blastomere dissociation and mechanical removal of one small cell do not prevent dorsoventral (DV) axis formation, suggesting that embryos compensate for the loss of those cells and asymmetric partitioning of maternal determinants is not strictly necessary for DV patterning. Finally, we show that manipulating cell size to introduce artificial cell size asymmetries is not sufficient to direct the positioning of the future DV axis in P. miniata embryos. Our results show that although cell size asymmetries are consistently produced during sea star early cleavage and may be predictive of the DV axis, they are not necessary to instruct DV axis formation.


title: Lack of robust evidence for a Wolbachia infection in Anopheles gambiae from Burkina Faso

abstract: The endosymbiont Wolbachia can have major effects on the reproductive fitness, and vectorial capacity of host insects and may provide new avenues to control mosquito borne pathogens. Anopheles gambiae s.l is the major vector of malaria in Africa but the use of Wolbachia in this species has been limited by challenges in establishing stable transinfected lines and uncertainty around native infections. High frequencies of infection of Wolbachia have been previously reported in An. gambiae collected from the Valle du Kou region of Burkina Faso in 2011 and 2014. Here we re-evaluated the occurrence of Wolbachia in natural samples, collected from Valle du Kou over a 12-year time span, and in addition, expanded sampling to other sites in Burkina Faso. Our results showed that, in contrast to earlier reports, Wolbachia is present at an extremely low prevalence in natural population of An. gambiae. From 5,341 samples analysed only 29 were positive for Wolbachia by nested PCR representing 0.54% of prevalence. No positive samples were found with regular PCR. Phylogenetic analysis of 16S rRNA gene amplicons clustered across supergroup B, with some having similarity to sequences previously found in Anopheles from Burkina Faso. However, we cannot discount the possibility that the amplicon positive samples we detected were due to environmental contamination or were false positives. Regardless, the lack of a prominent native infection in An. gambiae s.l. is encouraging for applications utilising Wolbachia traninsfected mosquitoes for malaria control.


title: Evidence for adaptive morphological plasticity in the Caribbean coral, Acropora cervicornis.

abstract: Genotype-by-environment interactions (GxE) indicate that variation in organismal traits cannot be explained by fixed effects of genetics or site-specific plastic responses alone. For tropical coral reefs experiencing dramatic environmental change, identifying the contributions of genotype, environment, and GxE on coral performance will be vital for both predicting persistence and developing restoration strategies. We quantified the impacts of G, E, and GxE on the morphology and survival of the endangered coral, A. cervicornis, through an in situ transplant experiment exposing common garden (nursery) raised clones of ten genotypes to nine reef sites in the Florida Keys. By fate-tracking outplants over one year with colony-level 3D photogrammetry, we uncovered significant GxE on coral size and survivorship indicating that no universal winner exists in terms of colony performance. Moreover, the presence of GxE also implies the existence of intraspecific variation in phenotypic plasticity. Rather than differences in mean trait values, we find that individual-level morphological plasticity is adaptive in that the most plastic individuals also exhibited the fastest growth and highest survival. This indicates that adaptive morphological plasticity may continue to evolve, influencing the success of A. cervicornis and resulting reef communities in a changing climate. As focal reefs are active restoration sites, the knowledge that variation in phenotype is an important predictor of performance can be directly applied to restoration planning. Taken together, these results establish A. cervicornis as a system for studying the eco-evolutionary dynamics of phenotypic plasticity that also can inform genetic- and environment-based strategies for coral restoration.


title: Automated assembly of high-quality diploid human reference genomes

abstract: The current human reference genome, GRCh38, represents over 20 years of effort to generate a high-quality assembly, which has greatly benefited society1, 2. However, it still has many gaps and errors, and does not represent a biological human genome since it is a blend of multiple individuals3, 4. Recently, a high-quality telomere-to-telomere reference genome, CHM13, was generated with the latest long-read technologies, but it was derived from a hydatidiform mole cell line with a duplicate genome, and is thus nearly homozygous5. To address these limitations, the Human Pangenome Reference Consortium (HPRC) recently formed with the goal of creating a collection of high-quality, cost-effective, diploid genome assemblies for a pangenome reference that represents human genetic diversity6. Here, in our first scientific report, we determined which combination of current genome sequencing and automated assembly approaches yields the most complete, accurate, and cost-effective diploid genome assemblies with minimal manual curation. Approaches that used highly accurate long reads and parent-child data to sort haplotypes during assembly outperformed those that did not. Developing a combination of all the top performing methods, we generated our first high- quality diploid reference assembly, containing only [~]4 gaps (range 0-12) per chromosome, most within + 1% of CHM13s length. Nearly 1/4th of protein coding genes have synonymous amino acid changes between haplotypes, and centromeric regions showed the highest density of variation. Our findings serve as a foundation for assembling near-complete diploid human genomes at the scale required for constructing a human pangenome reference that captures all genetic variation from single nucleotides to large structural rearrangements.

category: genomics


title: Molecular mechanisms underlying Warburgia salutaris effects on oxidative stress and apoptotic parameters in Human Hepatoma Cells

abstract: This study aims to determine the molecular effects of Warburgia salutaris extract in HepG2 cells and elucidate the possible mechanisms. The MTT assay was employed to determine cell viability and the half maximal inhibitory concentration (IC50) of Warburgia salutaris-treated in HepG2 cells (0-5mg/ml). Extracellular lactate dehydrogenase and ATP were also quantified as a measure of cell viability. The production of reactive oxygen species (ROS) was assessed by quantifying lipid peroxidation and oxidative DNA damage, and reactive nitrogen species (RNS) in treated HepG2 cells. The cells response to free radicals was assessed by measuring GSH. Stress response antioxidant and apoptotic markers were detected using western blotting and /or qPCR. Cell death parameters assayed included annexin V, caspase activity and necrosis. Single-cell gel electrophoresis (SCGE) was used to visualise DNA damage in the HepG2 cells and confirmed with DNA fragmentation assay. The Hoechst assay allowed the visualisation of the nucleus to assess cell growth and apoptosis. Decreased cell viability was associated with a decreased level of ATP. The presence of oxidative stress was suggested by increased HSP70 and Nrf2 protein expression and confirmed by increase ROS, RNS, GPx and catalase; and a corresponding decrease of SOD2 and glutathione. Caspase 8 showed no significant difference between treatment concentrations, caspase 9 was decreased and caspase 3/7 increased. A reduction in p53 correlated with chromatin changes, increase in comet lengths and DNA fragmentation. NF{kappa}B protein was significantly decreased at the IC50, along with decreased cMyc protein expression. Our findings shows that Warburgia salutaris promotes apoptosis by inducing oxidative stress in HepG2 cells and may be a potential anti-cancer agent that would serve as an alternative to conventional therapeutic agents.

category: biochemistry


title: Systematic Characterization of Double Emulsion Droplets for Biological Applications

abstract: Double emulsion droplets (DEs) are water/oil/water droplets that can be sorted via Fluorescence-Activated Cell Sorting (FACS), allowing for new opportunities in high-throughput cellular analysis, enzymatic screening, and synthetic biology. These applications require stable, uniform droplets with predictable microreactor volumes. However, predicting DE droplet size, shell thickness, and stability as a function of flow rate has remained challenging for monodisperse single core droplets and those containing biologically-relevant buffers, which influence bulk and interfacial properties. As a result, developing novel DE-based bioassays has typically required extensive initial optimization of flow rates to find conditions that produce stable droplets of the desired size and shell thickness. To address this challenge, we conducted systematic size parameterization quantifying how differences in flow rates and buffer properties (viscosity and interfacial tension at water/oil interfaces) alter droplet size and stability, across 6 inner aqueous buffers used across applications such as cellular lysis, microbial growth, and drug delivery, quantifying the size and shell thickness of >22,000 droplets overall. We restricted our study to stable single core droplets generated in a 2-step dripping-dripping formation regime in a straightforward PDMS device. Using data from 138 unique conditions (flow rates and buffer composition), we also demonstrated that a recent physically-derived size law of Wang et al1 can accurately predict double emulsion shell thickness for >95% of observations. Finally, we validated the utility of this size law by using it to accurately predict droplet sizes for a novel bioassay that requires encapsulating growth media for bacteria in droplets. This work has the potential to enable new screening-based biological applications by simplifying novel DE bioassay development.


title: Ultrasensitive Dopamine Detection with Graphene Aptasensor Multitransistor Arrays

abstract: Dopamine is a neurotransmitter with critical roles in the human brain and body, and abnormal dopamine levels underlie brain disorders such as Parkinsons Disease, Alzheimers Disease, and substance addiction. Herein, we present a novel high-throughput biosensor based on graphene multitransistor arrays (gMTAs) functionalized with a selective aptamer for robust ultrasensitive dopamine detection. The miniaturized biosensor integrates multiple electrolyte-gated graphene field-effect transistors (EG-gFETs) in an array configuration, fabricated by high-yield reproducible and scalable methodologies optimized at the wafer level. With these gMTA aptasensors, we reliably detected ultra-low dopamine concentrations in physiological buffers, including undiluted phosphate-buffered saline (PBS), artificial cerebral spinal fluid (aCSF), and high ionic strength complex biological samples. We report a record limit-of-detection (LOD) of 1 aM (10-18) for dopamine in both PBS, and dopamine-depleted brain homogenate samples spiked with dopamine. The gMTAs also display wide sensing ranges across all media, up to 100 M (10-8), with a 22 mV/decade peak sensitivity in aCSF. Furthermore, we show that the gMTAs can detect minimal changes in dopamine concentrations in small working volume biological CSF samples obtained from a mouse model of Parkinsons Disease.


title: Bessel-droplet foci enable high-resolution and high-contrast volumetric imaging of synapses and circulation in the brain in vivo

abstract: Bessel beam has long been utilized in physics for its ability to maintain lateral confinement during propagation. When used for two-photon fluorescence microscopy, Bessel foci have enabled high-speed volumetric imaging of the brain. At high numeric aperture (NA), however, the substantial energy in the side rings of Bessel foci reduces image contrast. Therefore, a compromise between resolution and contrast has to be made, limiting Bessel foci in microscopy to low NA. Here, we describe a method of generating axially extended Bessel-droplet foci with much suppressed side rings. Shaping the excitation wavefront with novel phase patterns, we generated Bessel-droplet foci of variable NAs at high power throughput and scanned them interferometrically along the axial direction for continuous volume imaging. More resistant to optical aberrations than Bessel foci, Bessel-droplet foci enabled high-resolution and high-contrast volumetric imaging of synaptic anatomy and function as well as lymphatic circulation in the mouse brain in vivo.


title: Machine Learning Informed Predictions of Nanoparticle Mobility and Fate in the Mucus Barrier

abstract: Diffusion and transport of nanomaterials through mucus, is of critical importance to many basic and applied areas of research such as drug delivery and infectious disease. However, it is often challenging to interpret the dynamics of nanoparticles within the mucus gel due to its inherently heterogeneous microstructure and biochemistry. In this study, we measured the diffusion of densely PEGylated nanoparticles (NP) in human airway mucus ex vivo using multiple particle tracking and utilized machine learning to classify NP movement as either traditional Brownian motion (BM) or one of two different models of anomalous diffusion, fractional Brownian motion (FBM) and continuous time random walk (CTRW). Specifically, we employed a physics-based neural network model to predict the modes of diffusion experienced by individual NP in human airway mucus. We observed rapidly diffusing NP primarily exhibit BM whereas CTRW and FBM exhibited lower diffusion rates. Given the use of muco-inert nanoparticles, the observed transition from diffusive (BM) to sub-diffusive (CTRW/FBM) motion is likely a result of patient-to-patient variation in mucus network pore size. Using mathematic models that account for the mode of NP diffusion, we predicted the percentage of nanoparticles that would cross the mucus barrier over time in human airway mucus with varied total solids concentration. We also applied this approach to explore the transport modes and predicted fate of influenza A virus within human mucus. These results provide new tools to evaluate the extent of synthetic and viral nanoparticle penetration through mucus in the lung and other tissues.


title: Incorporating the image formation process into deep learning improves network performance in deconvolution applications

abstract: We present  Richardson-Lucy Network (RLN), a fast and lightweight deep learning method for 3D fluorescence microscopy deconvolution. RLN combines the traditional Richardson-Lucy iteration with a fully convolutional network structure, improving network interpretability and robustness. Containing only [~]16 thousand parameters, RLN enables 4- to 50-fold faster processing than purely data-driven networks with many more parameters. By visual and quantitative analysis, we show that RLN provides better deconvolution, better generalizability, and fewer artifacts than other networks, especially along the axial dimension. RLN outperforms Richardson-Lucy deconvolution on volumes contaminated with severe out of focus fluorescence or noise and provides 4- to 6-fold faster reconstructions of large, cleared tissue datasets than classic multi-view pipelines. We demonstrate RLNs performance on cells, tissues, and embryos imaged with widefield-, light sheet-, and structured illumination microscopy.


title: Increased frequencies of IgH locus suicide recombination points on Chronic Lymphocytic Leukemia with low rate of AID related somatic mutations, cMYC overexpression and short telomeres

abstract: In normal activated B-cells, Activation Induced-cytidine deaminase (AID) is absolutely required for immunoglobulin (Ig) class switch recombination (CSR) and IGHV somatic hypermutation (SHM). AID is also implicated in the Locus Suicide Recombination (LSR) of the Ig heavy (IgH) locus, resulting in the deletion of the IgH constant part. Chronic lymphocytic leukemia (CLL) is an indolent non-Hodgkin B-cell lymphoma characterized by tumor CLL B-cells that weakly express a B cell receptor (BCR) on their surface. The great majority of CLL tumor B-cells are non class-switched. Searching for abnormalities of IgH locus recombination in CLL, we investigated CSR and LSR in samples from CLL patients (N=47) with high blood tumor cell infiltration (>98%) and in healthy volunteers (HV) as controls (N=9). LSR was detectable at comparable levels in both HV and CLL groups. CSR counts were decreased in CLL samples as expected. As distribution of LSR counts was bimodal, we separated CLL patients in two groups so called LSRHigh and LSRLow. LSRHigh CLLs exhibited very weak AID expression and low mutation rate of IgHV region and of the AID off-target PIM1 gene. LSR junction diversity, evaluated using the Shannon index, was increased in LSRHigh CLLs suggesting that LSR was on-going in these cells. Also, shorter telomeres were observed in LSRHigh CLLs suggesting an increased number of past mitosis. Consistently, increased levels of cMYC expression were detected in LSRHigh CLLs and treatment free survival of these cases was markedly decreased. We hypothesized that LSR in LSRHigh CLLs is AID independent and could be due to DNA lesion and inaccurate DSB repair within the IgH locus, which could be accessible to recombination machinery due to increased IgH locus transcription. Altogether, our results indicate the accessibility of IgH locus and the proliferation increase LSR rate in LSRHigh CLLs could be related to cMYC resulting in shorter treatment free survival of patients and point on an AID independent mechanism of IgH recombination.


title: A Genomically and Clinically Annotated Patient Derived Xenograft (PDX) Resource for Preclinical Research in Non-Small Cell Lung Cancer

abstract:
Patient-derived xenograft models (PDXs) are an effective preclinical in vivo platform for testing the efficacy of novel drug and drug combinations for cancer therapeutics. Here we describe a repository of 79 genomically and clinically annotated lung cancer PDXs available from The Jackson Laboratory that have been extensively characterized for histopathological features, mutational profiles, gene expression, and copy number aberrations. Most of the PDXs are models of non-small cell lung cancer (NSCLC), including 37 lung adenocarcinoma (LUAD) and 33 lung squamous cell carcinoma (LUSC) models. Other lung cancer models in the repository include four small cell carcinomas, two large cell neuroendocrine carcinomas, two adenosquamous carcinomas, and one pleomorphic carcinoma. Models with both de novo and acquired resistance to targeted therapies with tyrosine kinase inhibitors are available in the collection. The genomic profiles of the LUAD and LUSC PDX models are consistent with those observed in patient tumors of the same tumor type from The Cancer Genome Atlas (TCGA) and to previously characterized gene expression-based molecular subtypes. Clinically relevant mutations identified in the original patient tumors were confirmed in engrafted tumors. Treatment studies performed for a subset of the models recapitulated the responses expected based on the observed genomic profiles.

SignificanceThe collection of lung cancer Patient Derived Xenograft (PDX) models maintained at The Jackson Laboratory retain both the histologic features and treatment-relevant genomic alterations observed in the originating patient tumors and show expected responses to treatment with standard-of-care agents. The models serve as a valuable preclinical platform for translational cancer research. Information and data for the models are freely available from the Mouse Models of Human Cancer database (MMHCdb, http://tumor.informatics.jax.org/mtbwi/pdxSearch.do).


title: Paired single-cell host profiling with multiplex-tagged bacterial mutants reveals intracellular virulence-immune networks

abstract: Encounters between host cells and intracellular bacterial pathogens lead to complex phenotypes that determine the outcome of infection. Single-cell RNA-sequencing (scRNA-seq) are increasingly used to study the host factors underlying diverse cellular phenotypes. But current approaches do not permit the simultaneous unbiased study of both host and bacterial factors during infection. Here, we developed scPAIR-seq, an approach to analyze both host and pathogen factors during infection by combining multiplex-tagged mutant bacterial library with scRNA-seq to identify mutant-specific changes in host transcriptomes. We applied scPAIR-seq to macrophages infected with a library of Salmonella Typhimurium secretion system effector mutants. We developed a pipeline to independently analyze redundancy between effectors and mutant-specific unique fingerprints, and mapped the global virulence network of each individual effector by its impact on host immune pathways. ScPAIR-seq is a powerful tool to untangle bacterial virulence strategies and their complex interplay with host defense strategies that drive infection outcome.


title: Predicting butyrate- and propionate-forming bacteria of gut microbiota from sequencing data

abstract:
BackgroundThe bacteria-derived short chain fatty acids (SCFAs) butyrate and propionate play important (distinct) roles in health and disease and understanding the ecology of respective bacteria on a community-wide level is a top priority in microbiome research. The aim of this study was to reveal members harboring main pathways for the production of those metabolites and assess the applicability of sequence data (metagenomics and 16S rRNA gene) to predict SCFAs production in vitro and in vivo.

ResultsA clear split between butyrate- and propionate-forming bacteria was detected with only very few taxa exhibiting pathways for the production of both SCFAs. After in vitro growth of fecal communities from distinct donors (n=8) on different substrates (n=7) abundances of bacteria exhibiting pathways correlated with respective SCFA concentrations, in particular in the case of butyrate. While final growth differed markedly between cultures, communities showed high functional redundancies with comparable yields, i.e., concentration of metabolite per grown bacterium exhibiting pathway(s), irrespective of the donor and substrate used. For propionate, correlations were weaker indicating that its production is less imprinted into the core metabolism compared with butyrate-forming bacteria. Longitudinal measurements in vivo (five samples derived from 20 subjects) also revealed a correlation between abundances of pathway-carrying bacteria and concentrations of the two SCFAs. Additionally, lower bacterial cell concentrations, together with higher stool moisture, promoted overall bacterial activity (measured by flow cytometry and coverage patterns of metagenome-assembled genomes) that led to elevated SCFAs concentrations with over-proportional levels of butyrate. Butyrate concentrations displayed lower temporal stability than propionate, however, abundances of bacteria exhibiting the butyrate-forming pathway were more stable than those carrying pathways for propionate production. Predictions on pathway abundances based on 16S rRNA gene data using our in-house database worked well yielding similar results as metagenomic-based analyses.

ConclusionsWe demonstrated that pathway abundances enable predictions on concentrations of SCFAs indicating that stimulating bacterial growth directly leads to more production of those compounds. The strong separation of gut microbiota into two functional communities facilitates the development of precision intervention strategies targeting either metabolite.


title: ULK4 and Fused/STK36 interact to mediate assembly of a motile flagellum

abstract:
Unc-51-like kinase (ULK) family serine-threonine protein kinase homologs have been linked to the function of motile cilia in diverse species. Mutations in Fused/STK36 and ULK4 in mice resulted in hydrocephalus and other phenotypes consistent with ciliary defects. How either protein contributes to the assembly and function of motile cilia is not well understood. Here we studied the phenotypes of ULK4 and Fused gene knockout (KO) mutants in the flagellated protist Leishmania mexicana. Both KO mutants exhibited a variety of structural defects of the flagellum cytoskeleton. Biochemical approaches indicate spatial proximity of these proteins and indicates a direct interaction between the N-terminus of LmxULK4 and LmxFused. Both proteins display a dispersed localisation throughout the cell body and flagellum, with enrichment near the flagellar base and tip. Fused/STK36 was previously shown to localise to mammalian motile cilia and we demonstrate here that ULK4 also localises to the motile cilia in mouse ependymal cells. Taken together these data suggest a model where the pseudokinase ULK4 is a positive regulator of the kinase Fused/STK36 in a pathway required for stable assembly of motile cilia.

Summary StatementKnockout phenotypes in Leishmania, and confirmation of ULK4 ciliary localisation in mouse, show ULK4 and Fused/STK36 interact in a conserved pathway for stable assembly of motile cilia.


title: Cilia regulate meiotic recombination in zebrafish

abstract: Meiosis is essential for evolution and genetic diversity in almost all sexual eukaryotic organisms. The mechanisms of meiotic recombination, such as synapsis, have been extensively investigated. However, it is still unclear whether signals from the cytoplasm or even outside of the cell can regulate the meiosis process. Cilia are microtubule-based structures that protrude from cell surface and function as signaling hubs to sense extracellular signals. Here, we reported an unexpected and critical role of cilia during meiotic recombination. During gametogenesis of zebrafish, cilia were specifically present in the prophase stages of both spermatocytes and primary oocytes. By developing a novel germ cell-specific CRISPR/Cas9 system, we demonstrated that germ cell-specific depletion of ciliary genes resulted in compromised double strand break repair, reduced crossover formation, and increased germ cell apoptosis. Our study reveals a previously undiscovered role for cilia during meiosis and suggests that extracellular signals may regulate meiotic recombination via this particular organelle.


title: SRSF10 is essential for progenitor spermatogonia expansion by regulating alternative splicing

abstract: Alternative splicing expands the transcriptome and proteome complexity and plays essential roles in tissue development and human diseases. However, how alternative splicing regulates spermatogenesis remains largely unknown. Here, using germ cell-specific knockout mouse model, we demonstrated that the splicing factor Srsf10 is essential for spermatogenesis and male fertility. Depletion of Srsf10 in germ cells had little effect on the formation of SSCs but impeded the expansion of progenitor spermatogonia, leading to the failure of spermatogonia differentiation and meiosis initiation. This was further evidenced by the decreased expression of progenitor cell markers in bulk RNA-seq, and much less progenitor and differentiating spermatogonia in single-cell RNA-seq data. Furthermore, the expression of genes involved in cell cycle was abnormal in all subtypes of spermatogonia identified in single-cell RNA-seq data. Notably, using isolated spermatogonia, we found that Srsf10 depletion disturbed the alternative splicing of hundreds of genes, which were preferentially associated with cell cycle, mitotic cell cycle checkpoint and germ cell development, including Dazl, Kit, Ret, Sycp1, Nasp and Bora. These data suggest that SRSF10 is critical for the expansion of progenitor spermatogonia by regulating alternative splicing, expanding our understanding of the mechanism underlying spermatogenesis.


title: Identification and evolutionary analysis of a Triticeae tribe specific novel non-autonomous DNA transposon in DREB related Dehydration Responsive Factor1 gene.

abstract: A non-autonomous DNA transposon was identified in the DRF1 gene, belonging to the DREB gene family, the presence of this element was initially assessed in the Triticum durum DRF1 gene and subsequently it was also identified in Aegilops speltoides and Triticum urartu DRF1 genes. The DRF1 gene consists of four exons and three introns, the transposon carrying core element is inserted between the first and the third introns. Our studies identified inverted repeats, target site duplications and the presence of many internal reverse and direct short tandem and long tandem repeats, that all represent signals of a transposable element. Based on transposon specific sequence and position of the terminal inverted repeats, a possible transposition mechanism was inferred. As the identified transposable element does not possess a sequence coding for a transposase enzyme, it represents a non-autonomous element. The transposon encompasses a core element with two small, transcribed regions (Exon 2 and Exon 3) that are combined by alternative splicing during gene expression and an intron (intron2). A possible role of this non-autonomous DNA transposon in the alternative splicing regulation was investigated by a genomics approach. Divergence time analysis supported the relatively recent evolution of this transposon in Triticeae comparing to other tribes and further there is no footprints or highly disrupted footprints sequence such as TIR, TSD in other earlier evolved Poaceae member species were observed, which revealed the novelty and well-preserved nature of these signals in Triticeae. While other monocots (apart from Poaceae) and dicots, including Arabidopsis thaliana, neither showed this transposon insertion and nor revealed the existence of alternative spliced gene transcripts. In Poaceae members the core element is well preserved with disturbed transposon and transposon signals, while the tribe Triticeae especially wheat, its progenitors have intact DRF1 transposon and its signals.

category: evolutionary biology


title: Ultrastructure Expansion Microscopy (U-ExM) in Trypanosoma cruzi: localization of tubulin isoforms and isotypes

abstract: Ultrastructure Expansion Microscopy (U-ExM) is a recently developed technique that enables the increase of the spatial resolution within a cell or a tissue for microscopic imaging by physically expanding the sample. For the first time, I report a detailed protocol validating the use of U-ExM in Trypanosoma cruzi and quantifying the expansion factors of different subcellular compartments. I was able to determine the localization patterns of different tubulin isoforms, such as -tubulin and {beta}-tubulin. Also, I immunolocalized acetylated and tyrosinated -tubulin isotypes in epimastigotes and use mitochondrial cell-permeable dyes to identify this organelle. Finally, U-ExM was also performed in trypomastigotes and amastigotes validating this technique in all life cycle stages of T. cruzi.


title: Estimating spatially variable and density-dependent survival using open-population spatial capture-recapture models

abstract:
Open-population spatial capture-recapture (OPSCR) models use the spatial information contained in individual detections collected over multiple consecutive occasions to estimate occasion-specific density, but also demographic parameters. OPSCR models can also estimate spatial variation in vital rates, but such models are neither widely used nor thoroughly tested. We developed a Bayesian OSPCR model that not only accounts for spatial variation in survival using spatial covariates, but also estimates local density-dependent effects on survival within a unified framework. Using simulations, we show that OPSCR models provide sound inferences on the effect of spatial covariates on survival, including multiple competing sources of mortality, each with potentially different spatial determinants. Estimation of local density-dependent survival was possible but required more data due to the greater complexity of the model. Not accounting for spatial heterogeneity in survival led to positive bias in abundance estimates (up to 10% relative bias). We provide a set of features in R package nimbleSCR that allow computationally efficient fitting of Bayesian OPSCR models with spatially varying survival. The ability to make population-level inferences of spatial variation in survival is an essential step towards a fully spatially-explicit OPSCR model that can disentangle the role of multiple spatial drivers on population dynamics.

Open Research statementcode to reproduce the analysis is available on github; https://github.com/Cyril-Milleret/Public/tree/master/SpatialSurvivalOPSCR


title: Molecular mechanism for strengthening E-cadherin adhesion using a monoclonal antibody

abstract: E-cadherin (Ecad) is an essential cell-cell adhesion protein with tumor suppression properties. The adhesive state of Ecad can be modified by the monoclonal antibody 19A11, which has potential applications in reducing cancer metastasis. Using x-ray crystallography, we determine the structure of 19A11 Fab bound to Ecad and show that the antibody binds to the first extracellular domain of Ecad near its primary adhesive motif - the strand-swap dimer interface. Molecular dynamics simulations and single molecule atomic force microscopy demonstrate that 19A11 interacts with Ecad in two distinct modes, one that strengthens the strand-swap dimer and one that does not alter adhesion. We show that adhesion is strengthened by the formation of a salt bridge between 19A11 and Ecad, which in turn stabilizes the swapped {beta}-strand and its complimentary binding pocket. Our results identify mechanistic principles for engineering antibodies to enhance Ecad adhesion.


title: LanA (Language Atlas): A probabilistic atlas for the language network based on fMRI data from >800 individuals

abstract: Two analytic traditions characterize fMRI language research. One relies on averaging activations voxel-wise across individuals. This approach has limitations: because of inter-individual variability in the locations of language areas, a location in a common brain space cannot be meaningfully linked to function. An alternative approach relies on identifying language areas in each individual using a functional  localizer. Because of its greater sensitivity, functional resolution, and interpretability, functional localization is gaining popularity, but it is not always feasible, and cannot be applied retroactively to past studies. We provide a solution for bridging these currently disjoint approaches in the form of a probabilistic functional atlas created from fMRI data for an extensively validated language localizer in 806 individuals. This atlas enables estimating the probability that any given location in a common brain space belongs to the language network, and thus can help interpret group-level peaks and meta-analyses of such peaks, and lesion locations in patient investigations. More meaningful comparisons of findings across studies should increase robustness and replicability in language research.


title: AI-powered pan-species computational pathology: bridging clinic and wildlife care

abstract: Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We built the pan-species cancer digital pathology atlas (PANCAD) and conducted the first pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). Furthermore, in 18 other vertebrate species (mammalia=11, reptilia=4, aves=2, and amphibia=1), accuracy (0.57-0.94) was influenced by cell morphological similarity preserved across different taxonomic groups, tumour sites, and variations in the immune compartment. A new metric, named morphospace overlap, was developed to guide veterinary pathologists towards rational deployment of this technology on new samples. This study provides the foundation and guidelines for transferring artificial intelligence technologies to veterinary pathology based on a new understanding of morphological conservation, which could vastly accelerate new developments in veterinary medicine and comparative oncology.


title: Pudendal, but not tibial, nerve stimulation modulates vulvar blood perfusion in anesthetized rodents

abstract:
IntroductionGenital arousal is a necessary component of sexual function but has been understudied in women. There are few treatment options for women who have female sexual dysfunction stemming from difficulties with arousal. Some studies have shown that neuromodulation can increase vaginal blood perfusion, but the effect of neuromodulation on blood perfusion in the vulva is unknown.

AimOur goal was to investigate whether pudendal or tibial nerve stimulation can evoke an increase in vulvar blood perfusion.

MethodsWe used female Sprague-Dawley rats for non-survival procedures under urethane anesthesia. We measured perineal blood perfusion using laser speckle contrast imaging in response to twenty-minute stimulation trials of pudendal and tibial nerve stimulation. Then, after thoracic level spinalization and a rest period, we repeated these trials.

Main Outcome MeasuresWe calculated average blood perfusion for three perineal regions (vulva, anus, and inner thigh) before, during, and after stimulation. We made comparisons for each region before, during, and after 20 minutes of stimulation and before and after spinalization.

ResultsWe observed a significant increase in vulvar, anal, and inner thigh blood perfusion during pudendal nerve stimulation in spinally intact and spinalized rats. Tibial nerve stimulation had no effect on perineal blood perfusion for both spinally intact and spinalized rats.

ConclusionsThis study demonstrates that pudendal nerve stimulation modulates vulvar blood perfusion, indicating the potential of pudendal neuromodulation to improve genital blood flow as a treatment for women with sexual dysfunction. Studies with animal models focused on genital arousal disorders are needed to obtain further insights into the mechanisms of neural control over genital hemodynamics.


title: Emotion schema effects on associative memory differ across emotion categories at the behavioural, physiological and neural level

abstract:
Previous behavioural and neuroimaging studies have consistently reported that our memory is enhanced for associations congruent or incongruent with the structure of our prior knowledge, termed as schemas. However, it remains unclear if similar effects exist if encoded associations are emotional. Do emotional schemas also facilitate learning and subsequent retrieval? Does it depend on the type of experienced emotions?

Using a novel face-word pair association paradigm combined with fMRI and eye-tracking techniques, we demonstrated and replicated in two independent studies that congruency with emotion schemas and emotion category interact to affect associative memory. Overall, emotion schemas facilitated memory for associative context, paralleled by the recruitment of left inferior frontal gyrus (IFG) during successful encoding of emotionally congruent vs. incongruent pairs. However, emotion schema effects differed across two negative emotion categories: disgust and fear, with disgust remembered better than fear. The IFG engagement was higher during successful encoding of congruent vs. incongruent pairs, but only in the case of disgust, suggestive of more semantic processing involved in learning disgust-related associations. On the contrary, the encoding of congruent vs. incongruent fear-related pairs was supported by activity in right fusiform gyrus (FG), suggesting greater sensory processing of faces. Successful memory formation for congruent disgust-related pairs was associated with a higher loading of pupil dilation component related to sympathetic activation, longer gaze time on words compared to faces, and more gaze switches between the two. This was reversed for fear-related pairs where the faces attracted more attention, as reflected by longer gaze time (compared to words).

Overall, our results at the behavioural, physiological, and neural level converge to suggest that emotional congruency influences memory similar to semantic schemas. However, encoding processes and neural effects vary depending on emotion category, reflecting the differential role of semantic processing and visual attention processes in the modulation of memory by disgust and fear.


title: Pliable synaptic fidelity and excitatory inter-synaptic crosstalk in the intact brain

abstract:
Memory formation in neural circuits may involve changes in synaptic efficacy and in cell intrinsic excitability, yet how this process unfolds in the living brain has remained elusive. Here, we employed multiplexed imaging of genetically encoded indicators of glutamate and Ca2+ in mouse barrel cortex to detect increased fidelity coupled with reduced excitation of thalamocortical connections that undergo whisker-stimulation induced LTP. High-resolution imaging revealed that whisker stimuli trigger excitatory synaptic activity that generates extrasynaptic glutamate transients reaching the bulk of neighbouring synapses in the target cortical area. Our findings pave the way to understanding basic plasticity features of the synaptic connectome while revealing a significant component of volume-transmitted glutamatergic signalling among cells in the intact brain.

One Sentence SummarySensory-stimulation LTP increases fidelity while reducing excitation at individual thalamocortical connections which generate spatially intersecting glutamate discharges


title: Sleep-like changes in neural processing emerge during sleep deprivation in early auditory cortex

abstract: Insufficient sleep is commonplace in modern lifestyle and can lead to grave outcomes, yet the changes in neuronal activity accumulating over hours of extended wakefulness remain poorly understood. Specifically, which aspects of cortical processing are affected by sleep deprivation (SD), and whether they also affect early sensory regions, remains unclear. Here, we recorded spiking activity in rat auditory cortex along with polysomnography while presenting sounds during SD followed by recovery sleep. We found that frequency tuning, onset responses, and spontaneous firing rates were largely unaffected by SD. By contrast, SD decreased entrainment to rapid ([≥]20 Hz) click-trains, increased population synchrony, and increased the prevalence of sleep-like stimulus-induced silent periods, even when ongoing activity was similar. Recovery NREM sleep was associated with similar effects as SD with even greater magnitude, while auditory processing during REM sleep was similar to vigilant wakefulness. Our results show that processes akin to those in NREM sleep invade the activity of cortical circuits during SD, already in early sensory cortex.


title: A cadherin mutation in Celsr3 linked to Tourette Disorder affects dendritic patterning and excitability of cholinergic interneurons

abstract: CELSR3 encodes an atypical protocadherin cell adhesion receptor that was recently identified as a high-risk gene for Tourette disorder. A putative damaging de novo variant was inserted into the mouse genome to generate an amino acid substitution within the fifth cadherin repeat. By contrast to Celsr3 constitutive null animals, mice homozygous for the R774H amino acid substitution are viable and have grossly normal forebrain development. The density of cortical and striatal interneuron subpopulations is normal, but 3D geometric analysis of cortical pyramidal neurons and striatal cholinergic interneurons revealed changes to dendritic patterning and types and distributions of spines. Furthermore, patch clamp recordings in cholinergic interneurons located within the sensorimotor striatum uncovered mild intrinsic hyperexcitability. Despite these changes, Celsr3R774H homozygous mice do not show obvious  tic-like stereotypies at baseline nor motor learning impairments, but females exhibited perseverative digging behavior. Our findings show that a human mutation in CELSR3 linked to Tourette disorder is sufficient to alter dendritic patterning in the cortex and striatum and also the intrinsic excitability of cholinergic interneurons.


title: Hierarchical organization of spontaneous co-fluctuations in densely-sampled individuals using fMRI

abstract: Edge time series decompose FC into its framewise contributions. Previous studies have focused on characterizing the properties of high-amplitude frames, including their cluster structure. Less is known about middle- and low-amplitude co-fluctuations. Here, we address those questions directly, using data from two dense-sampling studies: the MyConnectome project and Midnight Scan Club. We develop a hierarchical clustering algorithm to group peak co-fluctuations of all magnitudes into nested and multi-scale clusters based on their pairwise concordance. At a coarse scale, we find evidence of three large clusters that, collectively, engage virtually all canonical brain systems. At finer scales, however, each cluster is dissolved, giving way to increasingly refined patterns of co-fluctuations involving specific sets of brain systems. We also find an increase in global co-fluctuation magnitude with hierarchical scale. Finally, we comment on the amount of data needed to estimate co-fluctuation pattern clusters and implications for brain-behavior studies. Collectively, the findings reported here fill several gaps in current knowledge concerning the heterogeneity and richness of co-fluctuation patterns as estimated with edge time series while providing some practical guidance for future studies.


title: Rhythmic firing of neurons in the medulla of conscious freely behaving rats: rhythmic coupling with baroreceptor input

abstract: Recent investigations emphasized the importance of neural control of cardiovascular adjustments in complex behaviors, including stress, exercise, arousal, sleep-wake states, and different tasks. Baroreceptor feedback is an essential component of this system acting on different time scales from maintaining stable levels of cardiovascular parameters on the long-term to rapid alterations according to behavior. The baroreceptor input is essentially rhythmic, reflecting periodic fluctuations in arterial blood pressure. Cardiac rhythm is a prominent feature of the autonomic control system, present on different levels, including neuron activity in central circuits. The mechanism of rhythmic entrainment of neuron firing by the baroreceptor input was studied in great detail under anesthesia but recordings of sympathetic-related neuron firing in freely moving animals remain extremely scarce. In this study we recorded multiple single neuron activity in the reticular formation of the medulla in freely moving rats during natural behavior. Neurons firing in synchrony with the cardiac rhythm were detected in each experiment (n=4). In agreement with prior observations in anesthetized cats, we found that neurons in this area exhibited high neuron-to-neuron variability and temporal flexibility in their coupling to cardiac rhythm in freely moving rats, as well. This included firing in bursts at multiples of cardiac cycles, but not directly coupled to the heartbeat, supporting the concept of baroreceptor input entraining intrinsic neural oscillations rather than imposing a rhythm of solely external origin on these networks. It may also point to a mechanism of maintaining the basic characteristics of sympathetic neuron activity, i.e. burst-discharge and cardiac-related rhythmicity, on the background of behavior-related adjustments in their firing rate.