MCL coexpression mm9:815

Phase1 CAGE Peaks

	Short description
Mm9::chr13:115246787..115246797,-	p@chr13:115246787..115246797 -
Mm9::chr15:62082108..62082111,+	p@chr15:62082108..62082111 +
Mm9::chr1:166561874..166561885,+	p@chr1:166561874..166561885 +
Mm9::chr2:178190105..178190122,+	p@chr2:178190105..178190122 +
Mm9::chr4:124799704..124799713,-	p4@Zc3h12a
Mm9::chr4:145000183..145000220,+	p1@ENSMUST00000150529
Mm9::chr8:33120000..33120013,-	p5@Nrg1
Mm9::chr9:50913937..50913956,-	p@chr9:50913937..50913956 -
Mm9::chr9:50913979..50913993,-	p@chr9:50913979..50913993 -

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:0005176	ErbB-2 class receptor binding	0.0120528132361804
GO:0046579	positive regulation of Ras protein signal transduction	0.0120528132361804
GO:0045213	neurotransmitter receptor metabolic process	0.0120528132361804
GO:0051057	positive regulation of small GTPase mediated signal transduction	0.0120528132361804
GO:0043624	cellular protein complex disassembly	0.0120528132361804
GO:0043241	protein complex disassembly	0.0120528132361804
GO:0032984	macromolecular complex disassembly	0.0120528132361804
GO:0007416	synaptogenesis	0.0125550137876879
GO:0048663	neuron fate commitment	0.0125550137876879
GO:0022411	cellular component disassembly	0.0125550137876879
GO:0007422	peripheral nervous system development	0.0125550137876879
GO:0043112	receptor metabolic process	0.0125550137876879
GO:0010001	glial cell differentiation	0.0176156501144174
GO:0042063	gliogenesis	0.0176487622386927
GO:0050808	synapse organization and biogenesis	0.0176774594130645
GO:0045860	positive regulation of protein kinase activity	0.028697174371858
GO:0033674	positive regulation of kinase activity	0.028697174371858
GO:0051347	positive regulation of transferase activity	0.028697174371858
GO:0043062	extracellular structure organization and biogenesis	0.028697174371858
GO:0046578	regulation of Ras protein signal transduction	0.028697174371858
GO:0045165	cell fate commitment	0.028697174371858
GO:0000165	MAPKKK cascade	0.0292711178592952
GO:0051056	regulation of small GTPase mediated signal transduction	0.0292711178592952
GO:0045859	regulation of protein kinase activity	0.0292711178592952
GO:0043549	regulation of kinase activity	0.0292711178592952
GO:0043085	positive regulation of catalytic activity	0.0292711178592952
GO:0051338	regulation of transferase activity	0.0292711178592952
GO:0003712	transcription cofactor activity	0.0292711178592952
GO:0007265	Ras protein signal transduction	0.0307346737522599
GO:0045595	regulation of cell differentiation	0.0307346737522599
GO:0007517	muscle development	0.0320152851586041
GO:0007507	heart development	0.0320152851586041
GO:0008134	transcription factor binding	0.0336769781599157
GO:0007268	synaptic transmission	0.0336769781599157
GO:0007626	locomotory behavior	0.0347809753386919
GO:0005125	cytokine activity	0.0356698121449121
GO:0007243	protein kinase cascade	0.0356698121449121
GO:0019226	transmission of nerve impulse	0.0356826707650076
GO:0016481	negative regulation of transcription	0.0367765326950119
GO:0045934	negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	0.0370350079438996
GO:0050793	regulation of developmental process	0.0370350079438996
GO:0050790	regulation of catalytic activity	0.0370350079438996
GO:0016477	cell migration	0.0370350079438996
GO:0030182	neuron differentiation	0.0370350079438996
GO:0031324	negative regulation of cellular metabolic process	0.0370350079438996
GO:0065009	regulation of a molecular function	0.0370350079438996
GO:0007610	behavior	0.0370350079438996
GO:0048699	generation of neurons	0.0370350079438996
GO:0051674	localization of cell	0.0370350079438996
GO:0006928	cell motility	0.0370350079438996
GO:0007267	cell-cell signaling	0.0370350079438996
GO:0009892	negative regulation of metabolic process	0.0370350079438996
GO:0009966	regulation of signal transduction	0.0370350079438996
GO:0007264	small GTPase mediated signal transduction	0.0370350079438996
GO:0022008	neurogenesis	0.0370350079438996
GO:0009790	embryonic development	0.047795638695198
GO:0000902	cell morphogenesis	0.047795638695198
GO:0032989	cellular structure morphogenesis	0.047795638695198

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}}}