Several genes have been associated with craniofacial disorders through experimentation, including sequencing Mendelian clefting syndromes. Over 25 loci have been identified as potential influencers of craniofacial clefts across populations. Linked Genes
The transforming growth factor (TGF) family has provided multiple candidate genes linked with craniofacial development and malformation. TGF is involved in cell migration, differentiation, and proliferation, as well as regulating the extracellular matrix. Another gene that has been flagged as causal for craniofacial disorders, including CL/P, is interferon regulatory factor 6 or, IRF6. Mutations in IRF6 cause Van der Woude syndrome, the most common clefting syndrome. Ventral anterior homeobox 1, VAX1, and noggin, NOG, were identified with genome-wide significance for contributing to CL/P. Additionally, mutations in SPECC1L have recently been identified as influential to facial structure formation, and as causal for syndromic facial clefting. Nonsyndromic CL/P has been associated with the transcription factor forkhead box protein E1 (FOXE1), as mutations have resulted in cases of CL/P in mice. Other genes which have been found to interact with or contribute to craniofacial clefting include FGFRs, TWIST, MSXs, GREM1, TCOF1, PAXs, MAFB, ABCA4, and WNT allowing great cause for more research into the genetic basis for craniofacial disorders. Prevention
Because the cause of facial clefts still is unclear, it is difficult to say what may prevent children being born with facial clefts. It seems that folic acid contributes to lowering the risk of a child being born with a facial cleft.
By evaluating the possible combination of nanotechnologies with landscape ecology, complex habitat landscapes can be generated with details at the nanoscale. On such synthetic ecosystems, evolutionary experiments with E. coli have been performed to study the spatial biophysics of adaptation in an island biogeography on-chip. In other studies, non-pathogenic E. coli has been used as a model microorganism towards understanding the effects of simulated microgravity (on Earth) on the same. Uses in biological computing
Since 1961, scientists proposed the idea of genetic circuits used for computational tasks. Collaboration between biologists and computing scientists has allowed designing digital logic gates on the metabolism of E. coli. As Lac operon is a two-stage process, genetic regulation in the bacteria is used to realize computing functions. The process is controlled at the transcription stage of DNA into messenger RNA.Studies are being performed attempting to program E. coli to solve complicated mathematics problems, such as the Hamiltonian path problem.A computer to control protein production of E. coli within yeast cells has been developed. A method has also been developed to use bacteria to behave as an LCD screen.In July 2017, separate experiments with E. coli published on Nature showed the potential of using living cells for computing tasks and storing information. A team formed with collaborators of the Biodesign Institute at Arizona State University and Harvard’s Wyss Institute for Biologically Inspired Engineering developed a biological computer inside E. coli that responded to a dozen inputs. The team called the computer "ribocomputer", as it was composed of ribonucleic acid.