Personal tools

MCL coexpression mm9:1050

From FANTOM5_SSTAR

Revision as of 16:13, 10 October 2012 by Autoedit (talk | contribs) (Created page with "{{MCL_coexpression_mm9|gostat_on_MCL_coexpression=GO:0030934;anchoring collagen;7.68413969194452e-07;12841,12840!GO:0005593;FACIT collagen;7.68413969194452e-07;12841,12840!GO:...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search


Phase1 CAGE Peaks

 Short description
Mm9::chr10:97110040..97110070,+p2@Epyc
Mm9::chr14:80061897..80061908,-p3@Lect1
Mm9::chr14:80061914..80061919,-p4@Lect1
Mm9::chr14:80061926..80061952,-p2@Lect1
Mm9::chr14:80061955..80061980,-p1@Lect1
Mm9::chr2:180332924..180332931,+p2@Col9a3
Mm9::chr4:120712161..120712285,+p1@Col9a2


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:0030934anchoring collagen7.68413969194452e-07
GO:0005593FACIT collagen7.68413969194452e-07
GO:0005594collagen type IX7.68413969194452e-07
GO:0005578proteinaceous extracellular matrix0.000186816617471087
GO:0030020extracellular matrix structural constituent conferring tensile strength0.000186816617471087
GO:0005581collagen0.000228052395601774
GO:0005201extracellular matrix structural constituent0.000580429918189773
GO:0044420extracellular matrix part0.00119830147109974
GO:0030948negative regulation of vascular endothelial growth factor receptor signaling pathway0.00155834352952635
GO:0001501skeletal development0.00366562736125257
GO:0030947regulation of vascular endothelial growth factor receptor signaling pathway0.00637294626688134
GO:0048010vascular endothelial growth factor receptor signaling pathway0.0163451333037402
GO:0016525negative regulation of angiogenesis0.0172403831278707
GO:0005615extracellular space0.0211013759293603
GO:0044421extracellular region part0.0224121950137161
GO:0022610biological adhesion0.0224121950137161
GO:0007155cell adhesion0.0224121950137161
GO:0045765regulation of angiogenesis0.023319499887863
GO:0051216cartilage development0.0352951820224402
GO:0006817phosphate transport0.046729817468914



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



"{{{coexpression_dpi_cluster_scores_median}}}" is not a number.

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)

{{{tfbs_overrepresentation_jaspar}}}