MCL coexpression mm9:600

Phase1 CAGE Peaks

	Short description
Mm9::chr11:118165162..118165220,-	p@chr11:118165162..118165220 -
Mm9::chr11:5763981..5764006,+	p@chr11:5763981..5764006 +
Mm9::chr11:5770554..5770565,+	p@chr11:5770554..5770565 +
Mm9::chr11:5771774..5771785,+	p@chr11:5771774..5771785 +
Mm9::chr17:29227914..29227965,+	p2@Cdkn1a
Mm9::chr1:137662795..137662802,+	p3@Phlda3
Mm9::chr1:137662818..137662834,+	p2@Phlda3
Mm9::chr4:88920480..88920487,-	p@chr4:88920480..88920487 -
Mm9::chr4:88928017..88928055,-	p2@Cdkn2a
Mm9::chr4:88928056..88928065,-	p4@Cdkn2a
Mm9::chr7:74764902..74764914,-	p@chr7:74764902..74764914 -
Mm9::chr9:58095257..58095272,-	p@chr9:58095257..58095272 -

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:0045736	negative regulation of cyclin-dependent protein kinase activity	6.23135703143626e-06
GO:0004861	cyclin-dependent protein kinase inhibitor activity	1.45398330733513e-05
GO:0000079	regulation of cyclin-dependent protein kinase activity	1.90402575960552e-05
GO:0004860	protein kinase inhibitor activity	3.9984540951716e-05
GO:0030888	regulation of B cell proliferation	3.9984540951716e-05
GO:0019210	kinase inhibitor activity	3.9984540951716e-05
GO:0042100	B cell proliferation	5.20763409055744e-05
GO:0006469	negative regulation of protein kinase activity	6.63733938348437e-05
GO:0033673	negative regulation of kinase activity	6.63733938348437e-05
GO:0050864	regulation of B cell activation	6.63733938348437e-05
GO:0051348	negative regulation of transferase activity	6.63733938348437e-05
GO:0007050	cell cycle arrest	8.56811591822485e-05
GO:0043086	negative regulation of catalytic activity	8.63602173202896e-05
GO:0050670	regulation of lymphocyte proliferation	9.5408999881324e-05
GO:0032944	regulation of mononuclear cell proliferation	9.5408999881324e-05
GO:0019887	protein kinase regulator activity	0.000126769169608281
GO:0032943	mononuclear cell proliferation	0.000147639432823766
GO:0019207	kinase regulator activity	0.000147639432823766
GO:0046651	lymphocyte proliferation	0.000147639432823766
GO:0051249	regulation of lymphocyte activation	0.000172542499620451
GO:0042113	B cell activation	0.000172542499620451
GO:0050865	regulation of cell activation	0.000172542499620451
GO:0045786	negative regulation of progression through cell cycle	0.000298715677694475
GO:0008285	negative regulation of cell proliferation	0.000298715677694475
GO:0045859	regulation of protein kinase activity	0.00033238058405681
GO:0043549	regulation of kinase activity	0.000345360980088448
GO:0051338	regulation of transferase activity	0.000347917434255191
GO:0000074	regulation of progression through cell cycle	0.000584300995929853
GO:0046649	lymphocyte activation	0.00059236837780091
GO:0043071	positive regulation of non-apoptotic programmed cell death	0.00059236837780091
GO:0016244	non-apoptotic programmed cell death	0.00059236837780091
GO:0043070	regulation of non-apoptotic programmed cell death	0.00059236837780091
GO:0045321	leukocyte activation	0.000644975998621454
GO:0004857	enzyme inhibitor activity	0.000644975998621454
GO:0001775	cell activation	0.000721353759210549
GO:0050790	regulation of catalytic activity	0.000997645726835604
GO:0033087	negative regulation of immature T cell proliferation	0.000997645726835604
GO:0033088	negative regulation of immature T cell proliferation in the thymus	0.000997645726835604
GO:0051239	regulation of multicellular organismal process	0.0010253245289803
GO:0065009	regulation of a molecular function	0.001243545187586
GO:0042127	regulation of cell proliferation	0.00126871442388828
GO:0030332	cyclin binding	0.00135391068072313
GO:0051726	regulation of cell cycle	0.00147511678563941
GO:0033080	immature T cell proliferation in the thymus	0.001613125978755
GO:0033079	immature T cell proliferation	0.001613125978755
GO:0033083	regulation of immature T cell proliferation	0.001613125978755
GO:0033084	regulation of immature T cell proliferation in the thymus	0.001613125978755
GO:0008283	cell proliferation	0.00230410917234263
GO:0048103	somatic stem cell division	0.00232079898255502
GO:0000307	cyclin-dependent protein kinase holoenzyme complex	0.00265337413755587
GO:0030889	negative regulation of B cell proliferation	0.00297288676570365
GO:0022402	cell cycle process	0.00303730721766891
GO:0017145	stem cell division	0.00321820197480138
GO:0006915	apoptosis	0.00347919357513534
GO:0012501	programmed cell death	0.00353046029921064
GO:0050869	negative regulation of B cell activation	0.00363859322660616
GO:0008219	cell death	0.00363859322660616
GO:0016265	death	0.00363859322660616
GO:0007569	cell aging	0.00410573729206283
GO:0030890	positive regulation of B cell proliferation	0.00410573729206283
GO:0007049	cell cycle	0.00412965310414495
GO:0002376	immune system process	0.00431174729559889
GO:0048523	negative regulation of cellular process	0.00550853610086116
GO:0050672	negative regulation of lymphocyte proliferation	0.00553819046196241
GO:0032945	negative regulation of mononuclear cell proliferation	0.00553819046196241
GO:0016301	kinase activity	0.00562450782962479
GO:0048519	negative regulation of biological process	0.00598149821554142
GO:0009411	response to UV	0.00676547334841651
GO:0033077	T cell differentiation in the thymus	0.00676547334841651
GO:0051250	negative regulation of lymphocyte activation	0.00676547334841651
GO:0016772	transferase activity, transferring phosphorus-containing groups	0.00684045775682157
GO:0050871	positive regulation of B cell activation	0.00684045775682157
GO:0007568	aging	0.00726533549337855
GO:0048468	cell development	0.00859156771462019
GO:0032946	positive regulation of mononuclear cell proliferation	0.00897044840445193
GO:0050671	positive regulation of lymphocyte proliferation	0.00897044840445193
GO:0042129	regulation of T cell proliferation	0.0103279077926027
GO:0016072	rRNA metabolic process	0.0126990586550902
GO:0006364	rRNA processing	0.0126990586550902
GO:0042098	T cell proliferation	0.013012826050804
GO:0051251	positive regulation of lymphocyte activation	0.014078079385034
GO:0030217	T cell differentiation	0.014078079385034
GO:0050863	regulation of T cell activation	0.0143636908787096
GO:0009416	response to light stimulus	0.0164409904305137
GO:0048869	cellular developmental process	0.0169711008751167
GO:0030154	cell differentiation	0.0169711008751167
GO:0016740	transferase activity	0.0177298342497547
GO:0030098	lymphocyte differentiation	0.0197578127502482
GO:0009314	response to radiation	0.0197578127502482
GO:0008544	epidermis development	0.0201668869473389
GO:0007398	ectoderm development	0.0209812073796822
GO:0005730	nucleolus	0.0219823875503924
GO:0042110	T cell activation	0.0239743421323824
GO:0042254	ribosome biogenesis and assembly	0.0249212517907133
GO:0002521	leukocyte differentiation	0.0252534270819102
GO:0043066	negative regulation of apoptosis	0.0293016798776038
GO:0043069	negative regulation of programmed cell death	0.0293872403622387
GO:0043068	positive regulation of programmed cell death	0.031771972700846
GO:0009628	response to abiotic stimulus	0.0320202372355373
GO:0008284	positive regulation of cell proliferation	0.0332022488739404
GO:0022613	ribonucleoprotein complex biogenesis and assembly	0.0352890386214833
GO:0030097	hemopoiesis	0.038435743270726
GO:0032502	developmental process	0.0396246347091916
GO:0006974	response to DNA damage stimulus	0.0415787003990648
GO:0048534	hemopoietic or lymphoid organ development	0.0415787003990648
GO:0051301	cell division	0.0415787003990648
GO:0002520	immune system development	0.0435798320167287
GO:0009719	response to endogenous stimulus	0.0435798320167287
GO:0050794	regulation of cellular process	0.046956514775283
GO:0009888	tissue development	0.048051995656815

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><br>

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Cell Type

Ontology term	p-value	n
migratory neural crest cell	8.91e-12	10
neuron associated cell	8.91e-12	10
glial cell (sensu Vertebrata)	8.91e-12	10
neuron associated cell (sensu Vertebrata)	8.91e-12	10
glial cell	8.91e-12	10
glioblast	8.91e-12	10
glioblast (sensu Vertebrata)	8.91e-12	10
autonomic neuron	9.73e-11	9
oligodendrocyte precursor cell	3.26e-10	8
non-terminally differentiated cell	4.60e-10	49
mesodermal cell	5.40e-09	7
muscle precursor cell	2.29e-08	6
contractile cell	2.29e-08	6
muscle cell	2.29e-08	6
myoblast	2.29e-08	6
oligodendrocyte	7.39e-08	6
macroglial cell	7.39e-08	6
astrocyte	7.39e-08	6

Uber Anatomy

Ontology term	p-value	n
peripheral nervous system	2.56e-12	11
autonomic nervous system	9.73e-11	9

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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