MCL coexpression mm9:554

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

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GO ID	GO name	FDR corrected p-value
GO:0045630	positive regulation of T-helper 2 cell differentiation	0.00613480101361967
GO:0045624	positive regulation of T-helper cell differentiation	0.00613480101361967
GO:0042832	defense response to protozoan	0.00613480101361967
GO:0001781	neutrophil apoptosis	0.00613480101361967
GO:0045079	negative regulation of chemokine biosynthetic process	0.00613480101361967
GO:0005138	interleukin-6 receptor binding	0.00613480101361967
GO:0045628	regulation of T-helper 2 cell differentiation	0.00613480101361967
GO:0001562	response to protozoan	0.00613480101361967
GO:0045064	T-helper 2 cell differentiation	0.00613480101361967
GO:0045622	regulation of T-helper cell differentiation	0.00613480101361967
GO:0001780	neutrophil homeostasis	0.00613480101361967
GO:0042092	T-helper 2 type immune response	0.00613480101361967
GO:0042744	hydrogen peroxide catabolic process	0.00613480101361967
GO:0045073	regulation of chemokine biosynthetic process	0.00613480101361967
GO:0050755	chemokine metabolic process	0.00613480101361967
GO:0042033	chemokine biosynthetic process	0.00613480101361967
GO:0002294	CD4-positive, alpha-beta T cell differentiation during immune response	0.00613480101361967
GO:0002292	T cell differentiation during immune response	0.00613480101361967
GO:0042093	T-helper cell differentiation	0.00613480101361967
GO:0032602	chemokine production	0.00613480101361967
GO:0002262	myeloid cell homeostasis	0.00613480101361967
GO:0002285	lymphocyte activation during immune response	0.00613480101361967
GO:0046888	negative regulation of hormone secretion	0.00613480101361967
GO:0002293	alpha-beta T cell differentiation during immune response	0.00613480101361967
GO:0002286	T cell activation during immune response	0.00613480101361967
GO:0042743	hydrogen peroxide metabolic process	0.00616201967718473
GO:0002366	leukocyte activation during immune response	0.00616201967718473
GO:0002263	cell activation during immune response	0.00616201967718473
GO:0042542	response to hydrogen peroxide	0.00639006753386264
GO:0042036	negative regulation of cytokine biosynthetic process	0.00639006753386264
GO:0043367	CD4-positive, alpha beta T cell differentiation	0.00680214356466494
GO:0051048	negative regulation of secretion	0.0071884320133554
GO:0006950	response to stress	0.00863425154760473
GO:0000302	response to reactive oxygen species	0.00901978866054937
GO:0046883	regulation of hormone secretion	0.0109513998695545
GO:0046632	alpha-beta T cell differentiation	0.011179247618428
GO:0017148	negative regulation of translation	0.0127745320491999
GO:0031327	negative regulation of cellular biosynthetic process	0.0127745320491999
GO:0001776	leukocyte homeostasis	0.0127745320491999
GO:0006953	acute-phase response	0.0129338591337989
GO:0048872	homeostasis of number of cells	0.0130853885419302
GO:0006800	oxygen and reactive oxygen species metabolic process	0.0132296772504845
GO:0046631	alpha-beta T cell activation	0.0137438694796838
GO:0009890	negative regulation of biosynthetic process	0.0137438694796838
GO:0004601	peroxidase activity	0.0137438694796838
GO:0016684	oxidoreductase activity, acting on peroxide as acceptor	0.0137438694796838
GO:0005126	hematopoietin/interferon-class (D200-domain) cytokine receptor binding	0.0158945490724236
GO:0046879	hormone secretion	0.0163606389997696
GO:0006979	response to oxidative stress	0.0175884040074963
GO:0042035	regulation of cytokine biosynthetic process	0.0191491912821177
GO:0051046	regulation of secretion	0.0195235944556765
GO:0042089	cytokine biosynthetic process	0.0216249667282421
GO:0042107	cytokine metabolic process	0.0216249667282421
GO:0030217	T cell differentiation	0.0216249667282421
GO:0051248	negative regulation of protein metabolic process	0.0236636738328768
GO:0002526	acute inflammatory response	0.0263106368820287
GO:0003001	generation of a signal involved in cell-cell signaling	0.0288551655400247
GO:0002250	adaptive immune response	0.0288551655400247
GO:0002460	adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains	0.0288551655400247
GO:0030098	lymphocyte differentiation	0.0293282650749003
GO:0001816	cytokine production	0.0310364227731297
GO:0005615	extracellular space	0.0328634828356414
GO:0020037	heme binding	0.0331563053314338
GO:0046906	tetrapyrrole binding	0.0331563053314338
GO:0042110	T cell activation	0.0346818569534329
GO:0044421	extracellular region part	0.0346818569534329
GO:0002521	leukocyte differentiation	0.0362210529925595
GO:0006417	regulation of translation	0.0368083864733086
GO:0031326	regulation of cellular biosynthetic process	0.0384817291650034
GO:0008083	growth factor activity	0.0406497293099706
GO:0045595	regulation of cell differentiation	0.0411052176127616
GO:0009889	regulation of biosynthetic process	0.0411052176127616
GO:0051707	response to other organism	0.0428855709526981
GO:0005764	lysosome	0.0432619566004032
GO:0000323	lytic vacuole	0.0432619566004032
GO:0046649	lymphocyte activation	0.0473162225814055
GO:0005773	vacuole	0.0473162225814055
GO:0045321	leukocyte activation	0.049194139494195
GO:0030097	hemopoiesis	0.049194139494195
GO:0006954	inflammatory response	0.049194139494195
GO:0009607	response to biotic stimulus	0.049194139494195
GO:0005125	cytokine activity	0.0497498975935377

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>

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Cell Type

Ontology term	p-value	n

Uber Anatomy

Ontology term	p-value	n

Disease

Ontology term	p-value	n

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

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Novel motifs

JASPAR motifs

Motifs	-log10(p-value)
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