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1 Bio-Trac 40 (Protein Bioinformatics) October 8, 2009 Zhang-Zhi Hu, M.D. Associate Professor Department of Oncology Department of Biochemistry and Molecular.

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Presentation on theme: "1 Bio-Trac 40 (Protein Bioinformatics) October 8, 2009 Zhang-Zhi Hu, M.D. Associate Professor Department of Oncology Department of Biochemistry and Molecular."— Presentation transcript:

1 1 Bio-Trac 40 (Protein Bioinformatics) October 8, 2009 Zhang-Zhi Hu, M.D. Associate Professor Department of Oncology Department of Biochemistry and Molecular & Cellular Biology Georgetown University Medical Center Lab

2 2 http://www.geneontology.org/

3 3 GO term (GO:0006366) : mRNA transcription from RNA polymerase II promoter Leaf node GO search and display tool

4 4 Human p53 – GO annotation (UniProtKB:P04637) GO:0006289:nucleotide-excision repair [PMID:7663514; evidence:IMP] http://pir.georgetown.edu/cgi-bin/ipcEntry?id=P04637

5 5 Science basis of the GO: trained experts use the experimental observations from literature to associate GO terms with gene products (to annotate the entities represented in the gene/protein databases) Enabling data integration across databases and making them available to semantic search GO annotation of gene products Human, mouse, plant, worm, yeast … http://www.geneontology.org/GO.current.annotations.shtml

6 6 GO Slim http://www.geneontology.org/GO.slims.shtml (http://www.geneontology.org/)http://www.geneontology.org/

7 7 http://pir.georgetown.edu/pirwww/ search/idmapping.shtml ID Mapping Information matrix Functional profiling Batch gene/protein retrieval and profiling Enter ID, gi #

8 8 Entrez Gene list http://pir.georgetown.edu/pirwww/search/idmapping.shtml UniProt Accession/ID Batch retrieval http://pir.georgetown.edu/pirwww/search/batch.shtml http://pir.georgetown.edu/pirwww/workshop/entrez_gene_list http://www.uniprot.org/ ID mapping http://www.uniprot.org/

9 9 ER positive correlation (NCI60): >0.53 ER negative correlation : (-0.38 to -0.72) ER positive correlation (NCI60): >0.53 2099 199920 1826 163589 25833 3249 80129 114770 222 5241 5618 246 27202 2001 202333 149428 3263 9687 51705 165679 25803 11254 27232 54714 5630 29760 123872 8608 284570 29993 10877 150000 154313 93233 9543 124975 54014 133874 57535 163720 26154 7499 220047 91181 283987 146779 83657 57419 6506 158067 197257 56155 400500 50604 5304 64218 166979 6549 375775 257177 5733 85320 94160 643037 83659 2925 6013 85004 79624 27151 157739 55259 51764 90506 252884 284485 51380 6478 140628 56914 148327 57127 11248 9073 55503 866 1747 203328 146562 128153 83715 55892 1113 2625 10023 11189 9869 863 11281 4477 Negative correlation (-0.38 to -0.72): 8540 55862 6197 57001 79780 2119 10643 301 1075 10020 2950 10950 161742 56913 2597 2182 84002 55529 2876 30011 4082 3628 11047 3945 1121 136 27350 6566 64114 10253 57102 66005 23708 10280 51375 57140 5621 4212 274 23318 51665 7048 4691 136895 7076 51202 57181 79650 79971 9334 26031 55432 51279 135112 11132 29934 2869 9859 10494 10487 11252 7804 7167 5216 817 1503 2135 50813 3801 5915 23645 2118 6711 1841 4735 123920 83879 112970 126282 6386 11097 55624 5876 55869 7171 64175 805 4904 24137 231 8634 10908 10096 200316 8078 2787 2534 25798 10477 1716 Example on ERa correlated genes profiles in NCI60 cancer cell lines GO Profiling Entrez Gene ID ID Mapping

10 10 KEGG Metabolic & Regulatory Pathways KEGG is a suite of databases and associated software, integrating our current knowledge on molecular interaction networks, the information of genes and proteins, and of chemical compounds and reactions. (http://www.genome.ad.jp/kegg/pathway.html) Transforming Growth Factor (TGF) beta signaling

11 11 BioCarta Cellular Pathways (http://www.biocarta.com/index.asp)http://www.biocarta.com/index.asp Transforming Growth Factor (TGF) beta signaling [Homo sapiens]

12 12 Transforming Growth Factor (TGF) beta signaling [Homo sapiens] Event ->REACT_6879.1: Activated type I receptor phosphorylates R-SMAD directly [Homo sapiens] Object -> REACT_7364.1: Phospho-R-SMAD [cytosol] Event -> REACT_6760.1: Phospho-R-SMAD forms a complex with CO-SMAD [Homo sapiens] Object -> REACT_7344.1: Phospho-R-SMAD:CO-SMAD complex [cytosol] Event -> REACT_6726.1: The phospho-R-SMAD:CO-SMAD transfers to the nucleus Object -> REACT_7382.2: Phospho-R-SMAD:CO-SMAD complex [nucleoplasm] …… (http://reactome.org/cgi- bin/eventbrowser?DB=gk_curre nt&FOCUS_SPECIES=Homo% 20sapiens&ID=170834&)http://reactome.org/cgi- bin/eventbrowser?DB=gk_curre nt&FOCUS_SPECIES=Homo% 20sapiens&ID=170834& Reactome: events and objects (including modified forms and complex)

13 13 PID Transforming Growth Factor beta signaling

14 14 Reactome PID ~26 proteins in PID are not defined in Reactome, while only 2 in Reactome not defined in PID Transforming Growth Factor (TGF) beta signaling

15 15 iProXpress: Integrative analysis of proteomic and gene expression data Data Information Knowledge MS spectrum Peptide ident. Protein ident. Function Pathway Family Categorize Statistics Association http://pir.georgetown.edu/iproxpress/

16 16 iProXpress – Pathway Profiling Protein information matrix: extensive annotations including protein name, family classification, function, protein-protein interaction, pathway… Functional profiling: iterative categorization, sorting, cross-dataset comparison, coupled with manual examination. ER Mit ER KEGG pathway Organelle proteome data sets

17 17 Purine metabolic pathway Ribonucleoside diphosphate reductase subunit M2 (RRM2) DNA synthesis DNA repair 1.17.4.1 ATP X dATP  ADP  dADP  dGTP X GTP dGDP  GDP 1.17.4.1 http://www.genome.jp/kegg-bin/show_pathway?hsa00230+6241


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