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MCL coexpression mm9:837

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Phase1 CAGE Peaks

 Short description
Mm9::chr18:61204957..61204967,+p4@Pdgfrb
Mm9::chr2:125127459..125127472,-p@chr2:125127459..125127472
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Mm9::chr8:11199340..11199353,-p@chr8:11199340..11199353
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Mm9::chr8:11219189..11219201,-p@chr8:11219189..11219201
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Mm9::chr8:11312731..11312758,-p1@Col4a1
Mm9::chr8:11312869..11312887,+p1@Col4a2
Mm9::chr8:11354301..11354323,-p@chr8:11354301..11354323
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Mm9::chr8:11448495..11448557,+p@chr8:11448495..11448557
+
Mm9::chr8:11448969..11449001,+p@chr8:11448969..11449001
+


Enriched pathways on this co-expression cluster<b>Summary:</b><br>Canonical pathway gene sets were compiled from Reactome, Wikipathways and KEGG. For the major signaling pathways, the transcriptionally-regulated genes (downstream targets) were obtained from Netpath. Combined, the canonical pathways and downstream targets totaled 489 human gene sets. The corresponding M. musculus gene sets were inferred by homology using the HomoloGene database. Enrichment for each of the canonical 489 pathways and gene sets included in the co-expression cluster was assessed by the hypergeometric probability. The resulting P values were also then adjusted by the Benjamini-Hochberg method for multiple comparisons.<br><b>Analyst: </b>Emmanuel Dimont<br><br>link to source dataset<br>data


GO IDGO nameFDR corrected p-value
GO:0005201extracellular matrix structural constituent1.28016208344516e-05
GO:0044420extracellular matrix part1.2828163433318e-05
GO:0005587collagen type IV1.2828163433318e-05
GO:0030935sheet-forming collagen1.2828163433318e-05
GO:0005578proteinaceous extracellular matrix0.000231088263798871
GO:0030020extracellular matrix structural constituent conferring tensile strength0.000231088263798871
GO:0005581collagen0.000290155949761186
GO:0005604basement membrane0.000805297147187118
GO:0006817phosphate transport0.000836646297554101
GO:0044421extracellular region part0.00162256709454504
GO:0015698inorganic anion transport0.00299634711228363
GO:0006820anion transport0.00385854729848647
GO:0001527microfibril0.00800448178953245
GO:0043205fibril0.00891854667042571
GO:0005021vascular endothelial growth factor receptor activity0.0138687345289946
GO:0005615extracellular space0.0274070605332511
GO:0022610biological adhesion0.031419874086069
GO:0007155cell adhesion0.031419874086069
GO:0050730regulation of peptidyl-tyrosine phosphorylation0.0371532336198108
GO:0006811ion transport0.0388729510970686
GO:0001932regulation of protein amino acid phosphorylation0.0414491607461372
GO:0033238regulation of amine metabolic process0.0414491607461372
GO:0006521regulation of amino acid metabolic process0.0414491607461372
GO:0018212peptidyl-tyrosine modification0.0414491607461372
GO:0042325regulation of phosphorylation0.0414491607461372
GO:0018108peptidyl-tyrosine phosphorylation0.0414491607461372
GO:0051174regulation of phosphorus metabolic process0.0414491607461372
GO:0019220regulation of phosphate metabolic process0.0414491607461372
GO:0004714transmembrane receptor protein tyrosine kinase activity0.0442858686454993



Relative expression of the co-expression cluster over median <br>Analyst:



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Enriched sample ontology terms on this co-expression cluster<b>Summary:</b>To summarize promoter activities (expression profile of a TSS region) across ~1000 samples, we performed enrichment analysis based on FANTOM5 Sample Ontology (FF ontology). The question here is “in which type of samples the promoter is more active”. To answer this question, we compared expressions (TPMs) in the samples associated with a sample ontology term and the rest of the samples by using the Mann-Whitney rank sum test. To summarize ontologies enriched in this co-expression cluster, we ran the same analysis on an averaged expression profile of all promoters that make up. <b>Analyst:</b> Hideya Kawaji <br><br>links to source dataset<br><br>cell_data<br>uberon_data<br>disease_data<br>


Cell Type
Ontology termp-valuen

Uber Anatomy
Ontology termp-valuen

Disease
Ontology termp-valuen


TFBS overrepresentation<b>Summary:</b>The values shown are the p-values for overrepresentation of the motif in this coexpression cluster. So a small p-value means a strong overrepresentation. <b>Analyst:</b> Michiel de Hoon <br><br>link to source data <br> Novel motifs <br>data <br><br> Jaspar motifs <br>data


Novel motifs




JASPAR motifs


Motifs-log10(p-value)

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