MCL coexpression mm9:1786

Phase1 CAGE Peaks

	Short description
Mm9::chr3:108186901..108186919,+	p2@Psrc1
Mm9::chr4:88940410..88940415,-	p6@Cdkn2a
Mm9::chr4:88940435..88940449,-	p3@Cdkn2a
Mm9::chr4:88940458..88940492,-	p1@Cdkn2a
Mm9::chr4:88940512..88940515,-	p5@Cdkn2a

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:0033087	negative regulation of immature T cell proliferation	0.00870235509430751
GO:0033088	negative regulation of immature T cell proliferation in the thymus	0.00870235509430751
GO:0045736	negative regulation of cyclin-dependent protein kinase activity	0.00870235509430751
GO:0033080	immature T cell proliferation in the thymus	0.00870235509430751
GO:0033079	immature T cell proliferation	0.00870235509430751
GO:0033083	regulation of immature T cell proliferation	0.00870235509430751
GO:0033084	regulation of immature T cell proliferation in the thymus	0.00870235509430751
GO:0048103	somatic stem cell division	0.0114212152241201
GO:0004861	cyclin-dependent protein kinase inhibitor activity	0.0121819620127591
GO:0030889	negative regulation of B cell proliferation	0.0121819620127591
GO:0017145	stem cell division	0.0124584834200535
GO:0000079	regulation of cyclin-dependent protein kinase activity	0.0128837084044577
GO:0050869	negative regulation of B cell activation	0.0128837084044577
GO:0007569	cell aging	0.0141378402212238
GO:0050672	negative regulation of lymphocyte proliferation	0.0176250236905787
GO:0032945	negative regulation of mononuclear cell proliferation	0.0176250236905787
GO:0004860	protein kinase inhibitor activity	0.0176250236905787
GO:0030888	regulation of B cell proliferation	0.0176250236905787
GO:0019210	kinase inhibitor activity	0.0176250236905787
GO:0033077	T cell differentiation in the thymus	0.0181194758271656
GO:0051250	negative regulation of lymphocyte activation	0.0181194758271656
GO:0042100	B cell proliferation	0.0185276097640895
GO:0007568	aging	0.0185276097640895
GO:0006469	negative regulation of protein kinase activity	0.0214136133098367
GO:0033673	negative regulation of kinase activity	0.0214136133098367
GO:0050864	regulation of B cell activation	0.0214136133098367
GO:0051348	negative regulation of transferase activity	0.0214136133098367
GO:0042129	regulation of T cell proliferation	0.0228199003105341
GO:0007050	cell cycle arrest	0.0236048511714399
GO:0043086	negative regulation of catalytic activity	0.0237076441842137
GO:0050670	regulation of lymphocyte proliferation	0.0237076441842137
GO:0032944	regulation of mononuclear cell proliferation	0.0237076441842137
GO:0016072	rRNA metabolic process	0.0237076441842137
GO:0006364	rRNA processing	0.0237076441842137
GO:0042098	T cell proliferation	0.0238980389240199
GO:0030217	T cell differentiation	0.0252074690702271
GO:0019887	protein kinase regulator activity	0.0252074690702271
GO:0050863	regulation of T cell activation	0.0252074690702271
GO:0032943	mononuclear cell proliferation	0.0274339941559054
GO:0019207	kinase regulator activity	0.0274339941559054
GO:0046651	lymphocyte proliferation	0.0274339941559054
GO:0051249	regulation of lymphocyte activation	0.0296991402863356
GO:0042113	B cell activation	0.0296991402863356
GO:0050865	regulation of cell activation	0.0296991402863356
GO:0030098	lymphocyte differentiation	0.0310600292983706
GO:0008544	epidermis development	0.0317024071011824
GO:0007398	ectoderm development	0.0326394406771123
GO:0005730	nucleolus	0.0338524532748576
GO:0045786	negative regulation of progression through cell cycle	0.0351259572419027
GO:0042110	T cell activation	0.0351259572419027
GO:0008285	negative regulation of cell proliferation	0.0351259572419027
GO:0042254	ribosome biogenesis and assembly	0.0356959435470589
GO:0002521	leukocyte differentiation	0.0356959435470589
GO:0045859	regulation of protein kinase activity	0.0356959435470589
GO:0043549	regulation of kinase activity	0.0364217199460299
GO:0051338	regulation of transferase activity	0.0365812994809177
GO:0000074	regulation of progression through cell cycle	0.0473309004601403
GO:0046649	lymphocyte activation	0.0485375539538556
GO:0022613	ribonucleoprotein complex biogenesis and assembly	0.0485375539538556

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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