Personal tools

MCL coexpression mm9:554

From FANTOM5_SSTAR

Revision as of 16:12, 10 October 2012 by Autoedit (talk | contribs) (Created page with "{{MCL_coexpression_mm9|gostat_on_MCL_coexpression=GO:0045630;positive regulation of T-helper 2 cell differentiation;0.00613480101361967;16193!GO:0045624;positive regulation of...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search


Phase1 CAGE Peaks

 Short description
Mm9::chr10:79343871..79343908,-p@chr10:79343871..79343908
-
Mm9::chr10:79350840..79350867,-p@chr10:79350840..79350867
-
Mm9::chr11:87607311..87607330,+p6@Mpo
Mm9::chr11:87607521..87607534,+p2@Mpo
Mm9::chr11:87607708..87607714,+p5@Mpo
Mm9::chr11:87608023..87608038,+p@chr11:87608023..87608038
+
Mm9::chr11:87610847..87610872,-p@chr11:87610847..87610872
-
Mm9::chr11:87610875..87610882,-p@chr11:87610875..87610882
-
Mm9::chr11:87610927..87610949,-p@chr11:87610927..87610949
-
Mm9::chr11:87611085..87611092,+p@chr11:87611085..87611092
+
Mm9::chr11:87611115..87611124,-p@chr11:87611115..87611124
-
Mm9::chr11:87614594..87614611,-p1@ENSMUST00000130442
Mm9::chr5:30339681..30339683,+p1@Il6


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:0045630positive regulation of T-helper 2 cell differentiation0.00613480101361967
GO:0045624positive regulation of T-helper cell differentiation0.00613480101361967
GO:0042832defense response to protozoan0.00613480101361967
GO:0001781neutrophil apoptosis0.00613480101361967
GO:0045079negative regulation of chemokine biosynthetic process0.00613480101361967
GO:0005138interleukin-6 receptor binding0.00613480101361967
GO:0045628regulation of T-helper 2 cell differentiation0.00613480101361967
GO:0001562response to protozoan0.00613480101361967
GO:0045064T-helper 2 cell differentiation0.00613480101361967
GO:0045622regulation of T-helper cell differentiation0.00613480101361967
GO:0001780neutrophil homeostasis0.00613480101361967
GO:0042092T-helper 2 type immune response0.00613480101361967
GO:0042744hydrogen peroxide catabolic process0.00613480101361967
GO:0045073regulation of chemokine biosynthetic process0.00613480101361967
GO:0050755chemokine metabolic process0.00613480101361967
GO:0042033chemokine biosynthetic process0.00613480101361967
GO:0002294CD4-positive, alpha-beta T cell differentiation during immune response0.00613480101361967
GO:0002292T cell differentiation during immune response0.00613480101361967
GO:0042093T-helper cell differentiation0.00613480101361967
GO:0032602chemokine production0.00613480101361967
GO:0002262myeloid cell homeostasis0.00613480101361967
GO:0002285lymphocyte activation during immune response0.00613480101361967
GO:0046888negative regulation of hormone secretion0.00613480101361967
GO:0002293alpha-beta T cell differentiation during immune response0.00613480101361967
GO:0002286T cell activation during immune response0.00613480101361967
GO:0042743hydrogen peroxide metabolic process0.00616201967718473
GO:0002366leukocyte activation during immune response0.00616201967718473
GO:0002263cell activation during immune response0.00616201967718473
GO:0042542response to hydrogen peroxide0.00639006753386264
GO:0042036negative regulation of cytokine biosynthetic process0.00639006753386264
GO:0043367CD4-positive, alpha beta T cell differentiation0.00680214356466494
GO:0051048negative regulation of secretion0.0071884320133554
GO:0006950response to stress0.00863425154760473
GO:0000302response to reactive oxygen species0.00901978866054937
GO:0046883regulation of hormone secretion0.0109513998695545
GO:0046632alpha-beta T cell differentiation0.011179247618428
GO:0017148negative regulation of translation0.0127745320491999
GO:0031327negative regulation of cellular biosynthetic process0.0127745320491999
GO:0001776leukocyte homeostasis0.0127745320491999
GO:0006953acute-phase response0.0129338591337989
GO:0048872homeostasis of number of cells0.0130853885419302
GO:0006800oxygen and reactive oxygen species metabolic process0.0132296772504845
GO:0046631alpha-beta T cell activation0.0137438694796838
GO:0009890negative regulation of biosynthetic process0.0137438694796838
GO:0004601peroxidase activity0.0137438694796838
GO:0016684oxidoreductase activity, acting on peroxide as acceptor0.0137438694796838
GO:0005126hematopoietin/interferon-class (D200-domain) cytokine receptor binding0.0158945490724236
GO:0046879hormone secretion0.0163606389997696
GO:0006979response to oxidative stress0.0175884040074963
GO:0042035regulation of cytokine biosynthetic process0.0191491912821177
GO:0051046regulation of secretion0.0195235944556765
GO:0042089cytokine biosynthetic process0.0216249667282421
GO:0042107cytokine metabolic process0.0216249667282421
GO:0030217T cell differentiation0.0216249667282421
GO:0051248negative regulation of protein metabolic process0.0236636738328768
GO:0002526acute inflammatory response0.0263106368820287
GO:0003001generation of a signal involved in cell-cell signaling0.0288551655400247
GO:0002250adaptive immune response0.0288551655400247
GO:0002460adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains0.0288551655400247
GO:0030098lymphocyte differentiation0.0293282650749003
GO:0001816cytokine production0.0310364227731297
GO:0005615extracellular space0.0328634828356414
GO:0020037heme binding0.0331563053314338
GO:0046906tetrapyrrole binding0.0331563053314338
GO:0042110T cell activation0.0346818569534329
GO:0044421extracellular region part0.0346818569534329
GO:0002521leukocyte differentiation0.0362210529925595
GO:0006417regulation of translation0.0368083864733086
GO:0031326regulation of cellular biosynthetic process0.0384817291650034
GO:0008083growth factor activity0.0406497293099706
GO:0045595regulation of cell differentiation0.0411052176127616
GO:0009889regulation of biosynthetic process0.0411052176127616
GO:0051707response to other organism0.0428855709526981
GO:0005764lysosome0.0432619566004032
GO:0000323lytic vacuole0.0432619566004032
GO:0046649lymphocyte activation0.0473162225814055
GO:0005773vacuole0.0473162225814055
GO:0045321leukocyte activation0.049194139494195
GO:0030097hemopoiesis0.049194139494195
GO:0006954inflammatory response0.049194139494195
GO:0009607response to biotic stimulus0.049194139494195
GO:0005125cytokine activity0.0497498975935377



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}}}