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MCL coexpression mm9:1066

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Phase1 CAGE Peaks

 Short description
Mm9::chr11:23662091..23662095,-p@chr11:23662091..23662095
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Mm9::chr12:60232412..60232456,+p2@Ctage5
Mm9::chr3:106592952..106592963,-p3@Cd53
Mm9::chr3:106592991..106593002,-p5@Cd53
Mm9::chr3:135354349..135354371,-p6@Nfkb1
Mm9::chr6:129182951..129182973,-p@chr6:129182951..129182973
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Mm9::chr7:109398216..109398228,+p@chr7:109398216..109398228
+


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:0045083negative regulation of interleukin-12 biosynthetic process0.0169287240453624
GO:0042090interleukin-12 biosynthetic process0.0338370468246374
GO:0045075regulation of interleukin-12 biosynthetic process0.0338370468246374
GO:0042036negative regulation of cytokine biosynthetic process0.0338370468246374
GO:0016566specific transcriptional repressor activity0.0338370468246374
GO:0032615interleukin-12 production0.0338370468246374
GO:0048535lymph node development0.0410765854248425
GO:0017148negative regulation of translation0.0488382460723203
GO:0031327negative regulation of cellular biosynthetic process0.0488382460723203



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





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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