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Richard H. Scheuermann, Ph.D. November 5, 2012 Support for Systems Biology Data in IRD/ViPR - Proteomics.

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Presentation on theme: "Richard H. Scheuermann, Ph.D. November 5, 2012 Support for Systems Biology Data in IRD/ViPR - Proteomics."— Presentation transcript:

1 Richard H. Scheuermann, Ph.D. November 5, 2012 Support for Systems Biology Data in IRD/ViPR - Proteomics

2 Projects with Host Factor Data Four systems biology groups funded by NIAID, including: – Systems Virology (Michael Katze group, Univ. Washington) Influenza H1N1 and H5N1 and SARS Coronavirus statistical models, algorithms and software, raw and processed gene expression data, and proteomics data – Systems Influenza (Alan Aderem group, Institute for Systems Biology/Seattle Biomed) Various influenza viruses microarray, mass spectrometry, and lipidomics data ViPR Driving Biological Projects – Abraham Brass, Mass. General Hospital Dengue virus host factor database from RNAi screen – Lynn Enquist / Moriah Szpara, Princeton University Deep sequencing and neuronal microarrays for functional genomic analysis of Herpes Simplex Virus – Richard Kuhn, Purdue University Metabolomics data of Dengue virus infection of human cells and mosquitos – Mike Diamond, Washington University Identification of inhibitory interferon-stimulated genes against flaviviruses and noroviruses using shRNA knockdown Determine the mechanism of action of individual inhibitory ISGs

3 “Omics” data management (MIBBI vs MIBBI-DB) – Project metadata (1 template) Title, PI, abstract, publications – Experiment metadata (~6 templates) Biosamples, treatments, reagents, protocols, subjects – Primary results data Raw expression values – Data processing metadata (1 template) Normalization and summarization methods – Processed data Data matrix of fold changes and p-values – Data interpretation metadata (1 template) Fold change and p-value cutoffs used – Interpreted results (Host factor biosets) Interesting gene, protein and metabolite lists Visualize biosets in context of biological pathways and networks Statistical analysis of pathway/sub-network overrepresentation Strategy for Handling “Omics” Data

4 Data Submission Workflows Study metadata Experiment metadata Primary results Analysis metadata Processed data matrix Free text metadata GEO/PRIDE/PNNL/SRA/MetaboLights ViPR/IRD/PATRIC Host factor bioset pointer submission pointer Systems Biology sites

5 Metadata Submission Template Examples

6 Host Factor Data

7 8 Studies To Date

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10 Host Factor Bioset

11 Transcriptomics => Proteomics Metadata fields are largely re-usable, with some exceptions – Exp_sample_template (protein).xls Exp_sample_template (protein).xls Results data differences – Peptide-level and protein-level IM005_Peptide_normalization_matrix.V2.xlsx IM005_Protein Normalization matrix.xlsx – Statistical measures Results_matrix_ IM005_sig Protein_RM.xlsx

12 Metadata Field Changes GEO GSM ID => Primary Data Archive + Primary Data Archive ID Semi-structured Experiment Variable to Structured Experiment Variable – Free text (1 day) => value unit pairs in separate fields (1/day; 10^4/plaque forming units) Multiple processed data matrix files – Concatenated IDs separated by (; |) Reagents and protocols are different but should not require submission template changes

13 Normalized Data Archive at BRC (standard format?) – Peptide normalized data – Protein normalized data – Results matrix of significant proteins BRCs derive bioset lists from results matrix – Handling different significance measures t-test flag, t-test p-value, g-test flag, g-test p-value, log10 ratio

14 Host Factor Bioset

15 On Deck Metabolomics and lipidomics data Integration of RNA expression, protein abundance and metabolite abundance Pathway/network visualization and analysis

16 Acknowledgement Lynn Law, U. Washington Richard Green, U. Washington Peter Askovich, Seattle Biomed Brett Pickett, U.T. Southwestern/JCVI Jyothi Noronha, U.T. Southwestern Eva Sadat, U.T. Southwestern Entire Systems Biology Data Dissemination Task Force, especially Jeremy Zucker NIAID (Alison Yao and Valentina DiFrancesco)

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29 Future Development Plans

30 GO enrichment Network visualization GO


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