MCL coexpression mm9:296

Phase1 CAGE Peaks

	Short description
Mm9::chr10:111432947..111432958,-	p7@Glipr1
Mm9::chr10:111433688..111433699,-	p@chr10:111433688..111433699 -
Mm9::chr10:119638520..119638539,-	p4@Irak3
Mm9::chr11:100488216..100488234,+	p@chr11:100488216..100488234 +
Mm9::chr11:16899725..16899729,-	p@chr11:16899725..16899729 -
Mm9::chr11:59356203..59356228,+	p2@Nlrp3
Mm9::chr11:59356232..59356249,+	p3@Nlrp3
Mm9::chr11:59356250..59356277,+	p4@Nlrp3
Mm9::chr11:67377978..67377989,+	p@chr11:67377978..67377989 +
Mm9::chr12:32634451..32634474,+	p@chr12:32634451..32634474 +
Mm9::chr12:70548695..70548699,+	p@chr12:70548695..70548699 +
Mm9::chr13:51741105..51741116,+	p@chr13:51741105..51741116 +
Mm9::chr14:28192677..28192680,+	p@chr14:28192677..28192680 +
Mm9::chr14:28192716..28192779,+	p@chr14:28192716..28192779 +
Mm9::chr14:28192780..28192801,+	p@chr14:28192780..28192801 +
Mm9::chr14:28192831..28192847,+	p@chr14:28192831..28192847 +
Mm9::chr14:28192852..28192868,+	p@chr14:28192852..28192868 +
Mm9::chr1:52557492..52557495,+	p@chr1:52557492..52557495 +
Mm9::chr2:102705692..102705695,-	p@chr2:102705692..102705695 -
Mm9::chr2:127880698..127880703,-	p@chr2:127880698..127880703 -
Mm9::chr2:127888836..127888845,+	p@chr2:127888836..127888845 +
Mm9::chr2:13335211..13335224,-	p@chr2:13335211..13335224 -
Mm9::chr3:83645477..83645490,-	p2@Tlr2
Mm9::chr5:136722449..136722468,-	p@chr5:136722449..136722468 -
Mm9::chr6:54767639..54767644,-	p@chr6:54767639..54767644 -
Mm9::chr7:35841771..35841778,+	p@chr7:35841771..35841778 +
Mm9::chrX:9048152..9048155,-	p@chrX:9048152..9048155 -

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:0042892	chloramphenicol transport	0.00701254588286857
GO:0042891	antibiotic transport	0.00701254588286857
GO:0043244	regulation of protein complex disassembly	0.00701254588286857
GO:0002755	MyD88-dependent toll-like receptor signaling pathway	0.00841459401106075
GO:0002752	cell surface pattern recognition receptor signaling pathway	0.00841459401106075
GO:0002238	response to molecule of fungal origin	0.0105176662244004
GO:0002220	innate immune response activating cell surface receptor signaling pathway	0.0120195313783155
GO:0002224	toll-like receptor signaling pathway	0.0131456421358788
GO:0002221	pattern recognition receptor signaling pathway	0.0140181770504761
GO:0032760	positive regulation of tumor necrosis factor production	0.0140181770504761
GO:0002218	activation of innate immune response	0.0140181770504761
GO:0002758	innate immune response-activating signal transduction	0.0140181770504761
GO:0032680	regulation of tumor necrosis factor production	0.0140181770504761
GO:0045088	regulation of innate immune response	0.0140181770504761
GO:0045089	positive regulation of innate immune response	0.0140181770504761
GO:0009620	response to fungus	0.0151838620381715
GO:0043241	protein complex disassembly	0.0151838620381715
GO:0015893	drug transport	0.0151838620381715
GO:0032984	macromolecular complex disassembly	0.0154903787390998
GO:0032640	tumor necrosis factor production	0.0157661285899398
GO:0006915	apoptosis	0.0177806043039439
GO:0001819	positive regulation of cytokine production	0.0177806043039439
GO:0012501	programmed cell death	0.0177806043039439
GO:0008219	cell death	0.0177806043039439
GO:0016265	death	0.0177806043039439
GO:0022411	cellular component disassembly	0.0177806043039439
GO:0001817	regulation of cytokine production	0.0225045307870591
GO:0042493	response to drug	0.0225045307870591
GO:0002429	immune response-activating cell surface receptor signaling pathway	0.0231745390088081
GO:0002768	immune response-regulating cell surface receptor signaling pathway	0.0237995731722582
GO:0002757	immune response-activating signal transduction	0.024383985638227
GO:0002764	immune response-regulating signal transduction	0.0249315847224307
GO:0019221	cytokine and chemokine mediated signaling pathway	0.0286185847577295
GO:0048468	cell development	0.039830640220822
GO:0002253	activation of immune response	0.0460903485865604
GO:0005524	ATP binding	0.0462014597936259
GO:0032559	adenyl ribonucleotide binding	0.0462014597936259
GO:0045087	innate immune response	0.048186354519928
GO:0030554	adenyl nucleotide binding	0.048186354519928
GO:0050778	positive regulation of immune response	0.0493229335703659
GO:0002684	positive regulation of immune system process	0.0493229335703659
GO:0001816	cytokine production	0.0493229335703659

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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