MCL coexpression mm9:1821

Phase1 CAGE Peaks

	Short description
Mm9::chr6:142519811..142519817,-	p5@Kcnj8
Mm9::chr6:142519823..142519873,-	p1@Kcnj8
Mm9::chr6:142520018..142520047,-	p2@Kcnj8
Mm9::chr6:142650819..142650839,-	p4@Abcc9
Mm9::chr6:142650844..142650892,-	p3@Abcc9

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:0051607	defense response to virus	2.00988278817424e-05
GO:0009615	response to virus	0.000328280855401792
GO:0030016	myofibril	0.000408397016541515
GO:0043292	contractile fiber	0.000408397016541515
GO:0002252	immune effector process	0.00100996610105755
GO:0006813	potassium ion transport	0.00106603545026734
GO:0051707	response to other organism	0.00106603545026734
GO:0008281	sulfonylurea receptor activity	0.00127376321700542
GO:0009607	response to biotic stimulus	0.00134835840381961
GO:0051704	multi-organism process	0.00150897533329926
GO:0015672	monovalent inorganic cation transport	0.00206850436949599
GO:0030001	metal ion transport	0.00351106052065641
GO:0006812	cation transport	0.00451411943905518
GO:0006955	immune response	0.00452726098036247
GO:0043330	response to exogenous dsRNA	0.00679172892170544
GO:0032496	response to lipopolysaccharide	0.00684325210746579
GO:0006952	defense response	0.00684325210746579
GO:0043331	response to dsRNA	0.00684325210746579
GO:0006811	ion transport	0.00684325210746579
GO:0005242	inward rectifier potassium channel activity	0.00684325210746579
GO:0002376	immune system process	0.00684325210746579
GO:0002237	response to molecule of bacterial origin	0.00787072130033666
GO:0022857	transmembrane transporter activity	0.00829079077516544
GO:0030017	sarcomere	0.027972892642399
GO:0044449	contractile fiber part	0.0280723008868013
GO:0005249	voltage-gated potassium channel activity	0.0324568799444616
GO:0030955	potassium ion binding	0.0368227624754739
GO:0009617	response to bacterium	0.0368227624754739
GO:0042626	ATPase activity, coupled to transmembrane movement of substances	0.0368227624754739
GO:0043492	ATPase activity, coupled to movement of substances	0.0368227624754739
GO:0016820	hydrolase activity, acting on acid anhydrides, catalyzing transmembrane movement of substances	0.0368227624754739
GO:0022843	voltage-gated cation channel activity	0.0368227624754739
GO:0005267	potassium channel activity	0.0371370190148136
GO:0015399	primary active transmembrane transporter activity	0.0371370190148136
GO:0015405	P-P-bond-hydrolysis-driven transmembrane transporter activity	0.0371370190148136
GO:0006810	transport	0.0395526787937518
GO:0051234	establishment of localization	0.0405905787950468
GO:0022832	voltage-gated channel activity	0.0431074496125446
GO:0005244	voltage-gated ion channel activity	0.0431074496125446
GO:0007507	heart development	0.0431074496125446
GO:0031420	alkali metal ion binding	0.0437793322540531
GO:0051179	localization	0.0455715798683656

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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