MCL coexpression mm9:2618

Phase1 CAGE Peaks

	Short description
Mm9::chr11:100711801..100711910,-	p1@Stat5b
Mm9::chr1:64579555..64579570,+	p3@Creb1
Mm9::chr2:22629802..22629818,+	p5@Apbb1ip

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:0007595	lactation	0.000525453577807614
GO:0040018	positive regulation of multicellular organism growth	0.000541916708159128
GO:0045927	positive regulation of growth	0.000541916708159128
GO:0040014	regulation of multicellular organism growth	0.00165668885813224
GO:0035264	multicellular organism growth	0.0017728978103342
GO:0048609	reproductive process in a multicellular organism	0.0017728978103342
GO:0032504	multicellular organism reproduction	0.0017728978103342
GO:0040008	regulation of growth	0.00677155003102119
GO:0046544	development of secondary male sexual characteristics	0.00913772318388629
GO:0046543	development of secondary female sexual characteristics	0.00913772318388629
GO:0022414	reproductive process	0.00953896831623088
GO:0045136	development of secondary sexual characteristics	0.00978988128476555
GO:0001553	luteinization	0.00978988128476555
GO:0042448	progesterone metabolic process	0.00978988128476555
GO:0001779	natural killer cell differentiation	0.010749084587409
GO:0045647	negative regulation of erythrocyte differentiation	0.010749084587409
GO:0045931	positive regulation of progression through mitotic cell cycle	0.010749084587409
GO:0046887	positive regulation of hormone secretion	0.0120213437953102
GO:0045579	positive regulation of B cell differentiation	0.0120213437953102
GO:0045885	positive regulation of survival gene product activity	0.0137035810317932
GO:0019218	regulation of steroid metabolic process	0.0145333047197813
GO:0030856	regulation of epithelial cell differentiation	0.0145333047197813
GO:0042104	positive regulation of activated T cell proliferation	0.0147318040071788
GO:0045086	positive regulation of interleukin-2 biosynthetic process	0.0147318040071788
GO:0046006	regulation of activated T cell proliferation	0.0147318040071788
GO:0045577	regulation of B cell differentiation	0.0147318040071788
GO:0045646	regulation of erythrocyte differentiation	0.0147318040071788
GO:0000003	reproduction	0.0147318040071788
GO:0019915	sequestering of lipid	0.0147318040071788
GO:0051047	positive regulation of secretion	0.0147318040071788
GO:0043029	T cell homeostasis	0.0147318040071788
GO:0045884	regulation of survival gene product activity	0.015697718401954
GO:0045787	positive regulation of progression through cell cycle	0.0161165602808381
GO:0030101	natural killer cell activation	0.0161165602808381
GO:0045076	regulation of interleukin-2 biosynthetic process	0.0164887251820769
GO:0050798	activated T cell proliferation	0.0164887251820769
GO:0045621	positive regulation of lymphocyte differentiation	0.0180221371217239
GO:0042094	interleukin-2 biosynthetic process	0.0180221371217239
GO:0032623	interleukin-2 production	0.0182574285122074
GO:0008207	C21-steroid hormone metabolic process	0.0182574285122074
GO:0050729	positive regulation of inflammatory response	0.0182574285122074
GO:0031349	positive regulation of defense response	0.0182574285122074
GO:0021983	pituitary gland development	0.0182574285122074
GO:0019216	regulation of lipid metabolic process	0.0182574285122074
GO:0002260	lymphocyte homeostasis	0.0182574285122074
GO:0045638	negative regulation of myeloid cell differentiation	0.0182574285122074
GO:0065008	regulation of biological quality	0.0182574285122074
GO:0021536	diencephalon development	0.0182574285122074
GO:0046883	regulation of hormone secretion	0.0182574285122074
GO:0007346	regulation of progression through mitotic cell cycle	0.0182574285122074
GO:0030879	mammary gland development	0.0196872254762418
GO:0045619	regulation of lymphocyte differentiation	0.0201851833574128
GO:0050871	positive regulation of B cell activation	0.0213388829365318
GO:0001776	leukocyte homeostasis	0.0213388829365318
GO:0046661	male sex differentiation	0.0213388829365318
GO:0042102	positive regulation of T cell proliferation	0.0213388829365318
GO:0007259	JAK-STAT cascade	0.0213388829365318
GO:0048522	positive regulation of cellular process	0.0213388829365318
GO:0048872	homeostasis of number of cells	0.0213388829365318
GO:0031347	regulation of defense response	0.0213388829365318
GO:0050727	regulation of inflammatory response	0.0213388829365318
GO:0022601	menstrual cycle phase	0.0213388829365318
GO:0022602	menstrual cycle process	0.021723123468064
GO:0042108	positive regulation of cytokine biosynthetic process	0.0222005142636794
GO:0003700	transcription factor activity	0.0222005142636794
GO:0045637	regulation of myeloid cell differentiation	0.0222005142636794
GO:0008585	female gonad development	0.0222005142636794
GO:0030183	B cell differentiation	0.0222005142636794
GO:0032946	positive regulation of mononuclear cell proliferation	0.0222005142636794
GO:0046660	female sex differentiation	0.0222005142636794
GO:0046545	development of primary female sexual characteristics	0.0222005142636794
GO:0030855	epithelial cell differentiation	0.0222005142636794
GO:0050671	positive regulation of lymphocyte proliferation	0.0222005142636794
GO:0048518	positive regulation of biological process	0.0222005142636794
GO:0030218	erythrocyte differentiation	0.0222005142636794
GO:0050864	regulation of B cell activation	0.0222005142636794
GO:0045727	positive regulation of translation	0.0233654165316319
GO:0042698	menstrual cycle	0.0233654165316319
GO:0007565	female pregnancy	0.0233654165316319
GO:0046879	hormone secretion	0.0233654165316319
GO:0042129	regulation of T cell proliferation	0.0236168730883494
GO:0031328	positive regulation of cellular biosynthetic process	0.0236168730883494
GO:0050870	positive regulation of T cell activation	0.0236168730883494
GO:0048583	regulation of response to stimulus	0.023850553830615
GO:0019221	cytokine and chemokine mediated signaling pathway	0.023850553830615
GO:0030155	regulation of cell adhesion	0.023850553830615
GO:0035270	endocrine system development	0.0251440335065073
GO:0042035	regulation of cytokine biosynthetic process	0.0254182791441992
GO:0008406	gonad development	0.0254182791441992
GO:0051046	regulation of secretion	0.0254182791441992
GO:0007154	cell communication	0.0254182791441992
GO:0032944	regulation of mononuclear cell proliferation	0.0254182791441992
GO:0009891	positive regulation of biosynthetic process	0.0254182791441992
GO:0048608	reproductive structure development	0.0254182791441992
GO:0050670	regulation of lymphocyte proliferation	0.0254182791441992
GO:0042098	T cell proliferation	0.026099831366719
GO:0045137	development of primary sexual characteristics	0.0272352300156898
GO:0042089	cytokine biosynthetic process	0.0277800589229188
GO:0042107	cytokine metabolic process	0.0277800589229188
GO:0051251	positive regulation of lymphocyte activation	0.0277800589229188
GO:0050863	regulation of T cell activation	0.0284036963151058
GO:0048468	cell development	0.0286569061337543
GO:0009653	anatomical structure morphogenesis	0.0286569061337543
GO:0051247	positive regulation of protein metabolic process	0.0310734952340478
GO:0007548	sex differentiation	0.0311818288826871
GO:0032943	mononuclear cell proliferation	0.0311818288826871
GO:0048732	gland development	0.0311818288826871
GO:0046651	lymphocyte proliferation	0.0311818288826871
GO:0006916	anti-apoptosis	0.0325586519314431
GO:0042445	hormone metabolic process	0.0334980215175915
GO:0051249	regulation of lymphocyte activation	0.0340101291557644
GO:0042113	B cell activation	0.0340101291557644
GO:0045596	negative regulation of cell differentiation	0.0340101291557644
GO:0003006	reproductive developmental process	0.0340101291557644
GO:0050865	regulation of cell activation	0.0340101291557644
GO:0003001	generation of a signal involved in cell-cell signaling	0.0341071241282081
GO:0048513	organ development	0.035148398214911
GO:0030098	lymphocyte differentiation	0.035148398214911
GO:0030099	myeloid cell differentiation	0.035148398214911
GO:0001816	cytokine production	0.0374931362218485
GO:0030900	forebrain development	0.0375568027570968
GO:0051093	negative regulation of developmental process	0.0387304138435095
GO:0008361	regulation of cell size	0.0395171644779132
GO:0042110	T cell activation	0.043202129548393
GO:0002009	morphogenesis of an epithelium	0.044660203493905
GO:0002521	leukocyte differentiation	0.0457365477392694
GO:0006417	regulation of translation	0.0467953152711793
GO:0048731	system development	0.0488320331945464
GO:0031326	regulation of cellular biosynthetic process	0.0488320331945464
GO:0008202	steroid metabolic process	0.0488320331945464

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)
{{{tfbs_overrepresentation_jaspar}}}