detected in each sample was counted and correlated with brain quality markers using the Spearman correlation coefficient. MASC Bioinformatics Functional Analysis Functional analyses were done using the Panther 9.0 Classification System [1], the Panther and the Gene Ontology (GO) terms term ‘Protein Class’ and were used ‘Cellular Components’ ‘Biological Process’. Binomial statistics to find enriched terms amongst components of postsynaptic protein complexes. To correct for multiple testing the Benjamini-Hochberg false discovery rate procedure was applied. Enrichment were done either using the human genome as a background set or a set formed ‘Postsynaptic Proteome’ by proteins identified in human and mouse PSD [2] plus MASC proteins reported in this study. Analysis of MASC interaction network Protein-protein interaction maps were obtained using STRING (v9.1) [3]. Only MASC proteins belonging to the NSB or PM High Confidence sets were considered in this analysis. Only high confidence interactions as defined by STRING (cut-off > 0,7) were used. Proteins were clustered using the MCL algorithm. Polyubiquitin C (UBC) was removed from list of NSB MASC HC – proteins prior to the analysis. Supplementary Results Bioinformatic functional analysis of human MASC.
detected in each sample was counted and correlated with brain quality markers using the Spearman correlation coefficient. MASC Bioinformatics Functional Analysis Functional analyses were done using the Panther 9.0 Classification System [1], the Panther term ‘Protein Class’ and the Gene Ontology (GO) terms ‘Cellular Components’ and ‘Biological Process’. Binomial statistics were used to find enriched terms amongst components of postsynaptic protein complexes. To correct for multiple testing the Benjamini-Hochberg false discovery rate procedure was applied. Enrichment were done either using the human genome as a background set or a ‘Postsynaptic Proteome’ set formed by proteins identified in human and mouse PSD [2] plus MASC proteins reported in this study. Analysis of MASC interaction network Protein-protein interaction maps were obtained using STRING (v9.1) [3]. Only MASC proteins belonging to the NSB or PM High Confidence sets were considered in this analysis. Only high confidence interactions as defined by STRING (cut-off > 0,7) were used. Proteins were clustered using the MCL algorithm. Polyubiquitin C (UBC) was removed from list of NSB MASC – HC proteins prior to the analysis. Supplementary Results Bioinformatic functional analysis of human MASC.
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