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Lab. 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. http://www.geneontology.org/. GO search and display tool. Leaf node. - PowerPoint PPT Presentation
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1 Bio-Trac 40 (Protein Bioinformatics) Bio-Trac 40 (Protein Bioinformatics) October 8, 2009 October 8, 2009 Zhang-Zhi Hu, M.D. Zhang-Zhi Hu, M.D. Associate Professor Associate Professor Department of Oncology Department of Oncology Department of Biochemistry and Molecular & Department of Biochemistry and Molecular & Cellular Biology Cellular Biology Georgetown University Medical Center Georgetown University Medical Center Lab
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Bio-Trac 40 (Protein Bioinformatics)Bio-Trac 40 (Protein Bioinformatics)

October 8, 2009October 8, 2009

Zhang-Zhi Hu, M.D. Zhang-Zhi Hu, M.D. Associate ProfessorAssociate ProfessorDepartment of OncologyDepartment of OncologyDepartment of Biochemistry and Molecular & Cellular BiologyDepartment of Biochemistry and Molecular & Cellular BiologyGeorgetown University Medical CenterGeorgetown University Medical Center

Lab

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2http://www.geneontology.org/

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GO term (GO:0006366): mRNA transcription from RNA polymerase II

promoter

Leaf node

GO search and display tool

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• 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

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GO Slim

http://www.geneontology.org/GO.slims.shtml

(http://www.geneontology.org/)

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http://pir.georgetown.edu/pirwww/search/idmapping.shtml

ID Mapping

Information matrix

Functional profiling

Batch gene/protein retrieval and

profilingEnter ID, gi #

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Entrez Gene list

http://pir.georgetown.edu/pirwww/search/idmapping.shtml

UniProt Accession/ID

Batch retrievalhttp://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/

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ER positive correlation (NCI60): >0.53

ER negative correlation : (-0.38 to -0.72)

ER positive correlation (NCI60): >0.53

209919992018261635892583332498012911477022252415618246272022001202333149428326396875170516567925803112542723254714563029760123872860828457029993108771500001543139323395431249755401413387457535163720261547499220047911812839871467798365757419650615806719725756155400500506045304642181669796549375775257177573385320941606430378365929256013850047962427151157739552595176490506252884284485513806478140628569141483275712711248907355503866174720332814656212815383715558921113262510023111899869863112814477

Negative correlation (-0.38 to -0.72):

8540558626197

57001797802119

10643301

1075100202950

109501617425691325972182

84002555292876

3001140823628

1104739451121136

273506566

641141025357102660052370810280513755714056214212274

233185166570484691

1368957076

512025718179650799719334

260315543251279

135112111322993428699859

104941048711252780471675216817

15032135

5081338015915

236452118671118414735

12392083879

112970126282

638611097556245876

558697171

64175805

490424137

2318634

1090810096

200316807827872534

25798104771716

Example on ERa correlated genes profiles in NCI60 cancer cell lines

GO Profiling

Entrez Gene ID

Entrez Gene ID

ID Mapping

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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

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BioCarta Cellular Pathways

(http://www.biocarta.com/index.asp)

Transforming Growth Factor (TGF) beta signaling [Homo sapiens]

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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 nucleusObject -> REACT_7382.2: Phospho-R-SMAD:CO-SMAD complex [nucleoplasm] ……

(http://reactome.org/cgi-bin/eventbrowser?DB=gk_current&FOCUS_SPECIES=Homo%20sapiens&ID=170834&)

Reactome: events and objects (including modified forms and complex)

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PIDTransforming Growth Factor beta signaling

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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

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iProXpressiProXpress: Integrative analysis of : Integrative analysis of proteomic and gene expression dataproteomic and gene expression data

DataData

InformationInformation

KnowledgeKnowledge

MS spectrum

Peptide ident.

Protein ident.

FunctionPathwayFamily

CategorizeStatisticsAssociation

http://pir.georgetown.edu/iproxpress/

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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

Mit

ER

KEGG pathway

• Organelle proteome data sets

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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

dGDPGDP

1.17.4.1

http://www.genome.jp/kegg-bin/show_pathway?hsa00230+6241


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