MCL coexpression mm9:512

Phase1 CAGE Peaks

	Short description
Mm9::chr10:33847803..33847820,-	p2@Fam26f
Mm9::chr13:52692289..52692308,+	p6@Syk
Mm9::chr13:52692323..52692334,+	p11@Syk
Mm9::chr16:4726284..4726290,+	p6@Hmox2
Mm9::chr17:5195701..5195737,+	p@chr17:5195701..5195737 +
Mm9::chr19:41406810..41406843,-	p@chr19:41406810..41406843 -
Mm9::chr19:41406848..41406866,-	p@chr19:41406848..41406866 -
Mm9::chr19:41406924..41406948,-	p@chr19:41406924..41406948 -
Mm9::chr1:34530108..34530141,+	p@chr1:34530108..34530141 +
Mm9::chr2:103810335..103810349,+	p10@Lmo2
Mm9::chr4:43467409..43467419,-	p3@Cd72 p3@LOC100504743
Mm9::chr5:135083184..135083189,-	p@chr5:135083184..135083189 -
Mm9::chr9:55937976..55937991,+	p10@Pstpip1
Mm9::chr9:55938017..55938045,+	p4@Pstpip1

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 ID	GO name	FDR corrected p-value
GO:0005057	receptor signaling protein activity	0.0158186854101761
GO:0046645	positive regulation of gamma-delta T cell activation	0.0158186854101761
GO:0045586	regulation of gamma-delta T cell differentiation	0.0158186854101761
GO:0045588	positive regulation of gamma-delta T cell differentiation	0.0158186854101761
GO:0046643	regulation of gamma-delta T cell activation	0.0158186854101761
GO:0043366	beta selection	0.0158186854101761
GO:0004392	heme oxygenase (decyclizing) activity	0.0158186854101761
GO:0046629	gamma-delta T cell activation	0.0158186854101761
GO:0006788	heme oxidation	0.0158186854101761
GO:0042492	gamma-delta T cell differentiation	0.0158186854101761
GO:0032632	interleukin-3 production	0.0158186854101761
GO:0045423	regulation of granulocyte macrophage colony-stimulating factor biosynthetic process	0.0158186854101761
GO:0042223	interleukin-3 biosynthetic process	0.0158186854101761
GO:0046638	positive regulation of alpha-beta T cell differentiation	0.0158186854101761
GO:0045399	regulation of interleukin-3 biosynthetic process	0.0158186854101761
GO:0032604	granulocyte macrophage colony-stimulating factor production	0.0158186854101761
GO:0045425	positive regulation of granulocyte macrophage colony-stimulating factor biosynthetic process	0.0158186854101761
GO:0006787	porphyrin catabolic process	0.0158186854101761
GO:0045401	positive regulation of interleukin-3 biosynthetic process	0.0158186854101761
GO:0042253	granulocyte macrophage colony-stimulating factor biosynthetic process	0.0158186854101761
GO:0033015	tetrapyrrole catabolic process	0.0158186854101761
GO:0043306	positive regulation of mast cell degranulation	0.0158186854101761
GO:0045647	negative regulation of erythrocyte differentiation	0.0158186854101761
GO:0046637	regulation of alpha-beta T cell differentiation	0.0158186854101761
GO:0043304	regulation of mast cell degranulation	0.0158186854101761
GO:0001820	serotonin secretion	0.0158186854101761
GO:0005826	contractile ring	0.0158186854101761
GO:0043302	positive regulation of leukocyte degranulation	0.0158186854101761
GO:0019903	protein phosphatase binding	0.0172993173979733
GO:0004716	receptor signaling protein tyrosine kinase activity	0.0172993173979733
GO:0043300	regulation of leukocyte degranulation	0.0172993173979733
GO:0045579	positive regulation of B cell differentiation	0.0172993173979733
GO:0030097	hemopoiesis	0.0179514270874
GO:0032153	cell division site	0.0179514270874
GO:0045921	positive regulation of exocytosis	0.0179514270874
GO:0019815	B cell receptor complex	0.0179514270874
GO:0032155	cell division site part	0.0179514270874
GO:0050853	B cell receptor signaling pathway	0.0182841233001697
GO:0043303	mast cell degranulation	0.0182841233001697
GO:0002448	mast cell mediated immunity	0.0182841233001697
GO:0019902	phosphatase binding	0.0182841233001697
GO:0046641	positive regulation of alpha-beta T cell proliferation	0.0182841233001697
GO:0048534	hemopoietic or lymphoid organ development	0.0182841233001697
GO:0005066	transmembrane receptor protein tyrosine kinase signaling protein activity	0.0196449609177903
GO:0046635	positive regulation of alpha-beta T cell activation	0.0196449609177903
GO:0002520	immune system development	0.0196449609177903
GO:0042101	T cell receptor complex	0.0199178977336042
GO:0046640	regulation of alpha-beta T cell proliferation	0.0199178977336042
GO:0045577	regulation of B cell differentiation	0.0199178977336042
GO:0045646	regulation of erythrocyte differentiation	0.0199178977336042
GO:0043299	leukocyte degranulation	0.0212768907620563
GO:0007257	activation of JNK activity	0.0212768907620563
GO:0046634	regulation of alpha-beta T cell activation	0.0225346567785881
GO:0043507	positive regulation of JNK activity	0.0225346567785881
GO:0045576	mast cell activation	0.023286216360908
GO:0045582	positive regulation of T cell differentiation	0.023286216360908
GO:0046633	alpha-beta T cell proliferation	0.023286216360908
GO:0050850	positive regulation of calcium-mediated signaling	0.0239621154308482
GO:0050848	regulation of calcium-mediated signaling	0.0239621154308482
GO:0019814	immunoglobulin complex	0.0239621154308482
GO:0045621	positive regulation of lymphocyte differentiation	0.026324782844713
GO:0043506	regulation of JNK activity	0.026324782844713
GO:0002444	myeloid leukocyte mediated immunity	0.026324782844713
GO:0019370	leukotriene biosynthetic process	0.0267997444330044
GO:0043450	alkene biosynthetic process	0.0267997444330044
GO:0042168	heme metabolic process	0.0267997444330044
GO:0045058	T cell selection	0.0272329666556482
GO:0006691	leukotriene metabolic process	0.0272329666556482
GO:0045580	regulation of T cell differentiation	0.0272329666556482
GO:0033013	tetrapyrrole metabolic process	0.0272511784361059
GO:0006778	porphyrin metabolic process	0.0272511784361059
GO:0043449	alkene metabolic process	0.0272511784361059
GO:0017157	regulation of exocytosis	0.0272511784361059
GO:0001725	stress fiber	0.0279942282533293
GO:0045638	negative regulation of myeloid cell differentiation	0.0279942282533293
GO:0032432	actin filament bundle	0.0286982855242072
GO:0001772	immunological synapse	0.0286982855242072
GO:0019722	calcium-mediated signaling	0.0289992328944968
GO:0046632	alpha-beta T cell differentiation	0.0289992328944968
GO:0050731	positive regulation of peptidyl-tyrosine phosphorylation	0.0289992328944968
GO:0045937	positive regulation of phosphate metabolic process	0.0296351105392341
GO:0042327	positive regulation of phosphorylation	0.0296351105392341
GO:0045619	regulation of lymphocyte differentiation	0.0306046902405463
GO:0046456	icosanoid biosynthetic process	0.0315508251837164
GO:0000910	cytokinesis	0.0323948723522591
GO:0050871	positive regulation of B cell activation	0.0323948723522591
GO:0001934	positive regulation of protein amino acid phosphorylation	0.0323948723522591
GO:0002274	myeloid leukocyte activation	0.0323948723522591
GO:0033240	positive regulation of amine metabolic process	0.0323948723522591
GO:0045764	positive regulation of amino acid metabolic process	0.0323948723522591
GO:0050851	antigen receptor-mediated signaling pathway	0.0323948723522591
GO:0042102	positive regulation of T cell proliferation	0.0323948723522591
GO:0044448	cell cortex part	0.0332288983549147
GO:0006690	icosanoid metabolic process	0.0352139960995021
GO:0046631	alpha-beta T cell activation	0.0356248379410609
GO:0042440	pigment metabolic process	0.0356248379410609
GO:0002429	immune response-activating cell surface receptor signaling pathway	0.0356547788286215
GO:0051187	cofactor catabolic process	0.0356547788286215
GO:0042108	positive regulation of cytokine biosynthetic process	0.0356547788286215
GO:0046777	protein amino acid autophosphorylation	0.0360359566836278
GO:0051050	positive regulation of transport	0.0360359566836278
GO:0050730	regulation of peptidyl-tyrosine phosphorylation	0.0360806946379755
GO:0002768	immune response-regulating cell surface receptor signaling pathway	0.0360806946379755
GO:0045637	regulation of myeloid cell differentiation	0.0360806946379755
GO:0030183	B cell differentiation	0.0360806946379755
GO:0016540	protein autoprocessing	0.0360806946379755
GO:0000187	activation of MAPK activity	0.0360806946379755
GO:0032946	positive regulation of mononuclear cell proliferation	0.0360806946379755
GO:0002757	immune response-activating signal transduction	0.0360806946379755
GO:0050671	positive regulation of lymphocyte proliferation	0.0360806946379755
GO:0030218	erythrocyte differentiation	0.0364157538806666
GO:0050864	regulation of B cell activation	0.0364157538806666
GO:0004715	non-membrane spanning protein tyrosine kinase activity	0.0367387925569082
GO:0002764	immune response-regulating signal transduction	0.0367387925569082
GO:0045727	positive regulation of translation	0.0383256338158725
GO:0043406	positive regulation of MAP kinase activity	0.0389397889873295
GO:0042129	regulation of T cell proliferation	0.0391409963062286
GO:0031328	positive regulation of cellular biosynthetic process	0.0391409963062286
GO:0050870	positive regulation of T cell activation	0.0391409963062286
GO:0007254	JNK cascade	0.0391409963062286
GO:0019748	secondary metabolic process	0.0391409963062286
GO:0031098	stress-activated protein kinase signaling pathway	0.041511496768158
GO:0005938	cell cortex	0.0420633321261785
GO:0042035	regulation of cytokine biosynthetic process	0.0443691239202558
GO:0033238	regulation of amine metabolic process	0.0448421745003913
GO:0001932	regulation of protein amino acid phosphorylation	0.0448421745003913
GO:0006521	regulation of amino acid metabolic process	0.0448421745003913
GO:0032944	regulation of mononuclear cell proliferation	0.0448421745003913
GO:0009891	positive regulation of biosynthetic process	0.0448421745003913
GO:0050670	regulation of lymphocyte proliferation	0.0448421745003913
GO:0005886	plasma membrane	0.0449410509959089
GO:0042098	T cell proliferation	0.0449410509959089
GO:0042325	regulation of phosphorylation	0.0449410509959089
GO:0051174	regulation of phosphorus metabolic process	0.0449410509959089
GO:0019220	regulation of phosphate metabolic process	0.0449410509959089
GO:0018212	peptidyl-tyrosine modification	0.0449410509959089
GO:0018108	peptidyl-tyrosine phosphorylation	0.0449410509959089
GO:0042089	cytokine biosynthetic process	0.0471976051634346
GO:0043405	regulation of MAP kinase activity	0.0471976051634346
GO:0042107	cytokine metabolic process	0.0471976051634346
GO:0051251	positive regulation of lymphocyte activation	0.0471976051634346
GO:0030217	T cell differentiation	0.0471976051634346
GO:0050863	regulation of T cell activation	0.0483909414071186
GO:0045055	regulated secretory pathway	0.0484781921249234
GO:0002376	immune system process	0.0484781921249234
GO:0009967	positive regulation of signal transduction	0.0488878737328907
GO:0046483	heterocycle metabolic process	0.0489624807382904
GO:0016485	protein processing	0.0489624807382904

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 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

---

Novel motifs

JASPAR motifs

Motifs	-log10(p-value)
{{{tfbs_overrepresentation_jaspar}}}