Project description:Genus-wide proteomics analysis of cobra (Naja) venoms. For top-down analysis, venom samples were reduced with TCEP and measured via HPLC-MS/MS (Q-Exactive) . Spectrum-Protein matching was performed with TopPic1.1 against a genus wide translated transcriptome database and NCBI protein entries from the najas.
For bottom-up analysis, HPLC separated fraction of venom were dried down, reduced with triethylphosphine and alkylated with 2-iodoethanol. HPLC-MS/MS experiments were performed on normalflow UHPLC-QTOF system (AB Sciex 5600 TripleTOF). Data analysis (PSM) was performed ProteinPilot version 4.0 and the transcriptome derived protein sequence database.
Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.
Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.