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|ontology_enrichment_disease=
|ontology_enrichment_disease=
|ontology_enrichment_uberon=UBERON:0000119!3.50e-15!312;UBERON:0004290!1.75e-14!70;UBERON:0000483!2.12e-14!309;UBERON:0003914!2.78e-14!118;UBERON:0000486!3.06e-14!82;UBERON:0002049!4.55e-14!79;UBERON:0007798!4.55e-14!79;UBERON:0000914!7.81e-14!83;UBERON:0002329!7.81e-14!83;UBERON:0003077!7.81e-14!83;UBERON:0003059!7.81e-14!83;UBERON:0007282!7.81e-14!83;UBERON:0009618!7.81e-14!83;UBERON:0007285!7.81e-14!83;UBERON:0001637!4.95e-13!42;UBERON:0003509!4.95e-13!42;UBERON:0004572!4.95e-13!42;UBERON:0004872!2.18e-12!84;UBERON:0001134!4.57e-12!61;UBERON:0002036!4.57e-12!61;UBERON:0003082!4.57e-12!61;UBERON:0005256!5.00e-12!143;UBERON:0000490!1.06e-11!138;UBERON:0001981!1.74e-11!60;UBERON:0007500!1.74e-11!60;UBERON:0004537!1.74e-11!60;UBERON:0006965!1.74e-11!60;UBERON:0000055!3.54e-11!69;UBERON:0002385!4.85e-11!63;UBERON:0001015!4.85e-11!63;UBERON:0000383!4.85e-11!63;UBERON:0001009!3.09e-09!113;UBERON:0000481!3.21e-09!347;UBERON:0004573!3.90e-09!33;UBERON:0004571!3.90e-09!33;UBERON:0004535!1.20e-08!110;UBERON:0004211!2.57e-08!16;UBERON:0001285!2.57e-08!16;UBERON:0007684!2.57e-08!16;UBERON:0003220!2.57e-08!16;UBERON:0004208!2.57e-08!16;UBERON:0000477!3.22e-08!286;UBERON:0003104!7.19e-08!238;UBERON:0009142!7.19e-08!238;UBERON:0000475!7.66e-08!365;UBERON:0002100!8.19e-08!216;UBERON:0000025!1.37e-07!194;UBERON:0006555!1.69e-07!17;UBERON:0005103!1.69e-07!17;UBERON:0000083!1.69e-07!17;UBERON:0009201!1.69e-07!17;UBERON:0004819!1.69e-07!17;UBERON:0006553!1.69e-07!17;UBERON:0003074!1.69e-07!17;UBERON:0003060!1.69e-07!17;UBERON:0001225!4.28e-07!13;UBERON:0008987!4.28e-07!13
|ontology_enrichment_uberon=UBERON:0000119!3.50e-15!312;UBERON:0004290!1.75e-14!70;UBERON:0000483!2.12e-14!309;UBERON:0003914!2.78e-14!118;UBERON:0000486!3.06e-14!82;UBERON:0002049!4.55e-14!79;UBERON:0007798!4.55e-14!79;UBERON:0000914!7.81e-14!83;UBERON:0002329!7.81e-14!83;UBERON:0003077!7.81e-14!83;UBERON:0003059!7.81e-14!83;UBERON:0007282!7.81e-14!83;UBERON:0009618!7.81e-14!83;UBERON:0007285!7.81e-14!83;UBERON:0001637!4.95e-13!42;UBERON:0003509!4.95e-13!42;UBERON:0004572!4.95e-13!42;UBERON:0004872!2.18e-12!84;UBERON:0001134!4.57e-12!61;UBERON:0002036!4.57e-12!61;UBERON:0003082!4.57e-12!61;UBERON:0005256!5.00e-12!143;UBERON:0000490!1.06e-11!138;UBERON:0001981!1.74e-11!60;UBERON:0007500!1.74e-11!60;UBERON:0004537!1.74e-11!60;UBERON:0006965!1.74e-11!60;UBERON:0000055!3.54e-11!69;UBERON:0002385!4.85e-11!63;UBERON:0001015!4.85e-11!63;UBERON:0000383!4.85e-11!63;UBERON:0001009!3.09e-09!113;UBERON:0000481!3.21e-09!347;UBERON:0004573!3.90e-09!33;UBERON:0004571!3.90e-09!33;UBERON:0004535!1.20e-08!110;UBERON:0004211!2.57e-08!16;UBERON:0001285!2.57e-08!16;UBERON:0007684!2.57e-08!16;UBERON:0003220!2.57e-08!16;UBERON:0004208!2.57e-08!16;UBERON:0000477!3.22e-08!286;UBERON:0003104!7.19e-08!238;UBERON:0009142!7.19e-08!238;UBERON:0000475!7.66e-08!365;UBERON:0002100!8.19e-08!216;UBERON:0000025!1.37e-07!194;UBERON:0006555!1.69e-07!17;UBERON:0005103!1.69e-07!17;UBERON:0000083!1.69e-07!17;UBERON:0009201!1.69e-07!17;UBERON:0004819!1.69e-07!17;UBERON:0006553!1.69e-07!17;UBERON:0003074!1.69e-07!17;UBERON:0003060!1.69e-07!17;UBERON:0001225!4.28e-07!13;UBERON:0008987!4.28e-07!13
|pathway_enrichment=0.00011825831370825;0.0249525041924409;2;99;IL-6 Signaling Pathway (Wikipathways):WP364!0.00011825831370825;0.0249525041924409;2;99;Wnt Signaling Pathway and Pluripotency (Wikipathways):WP399!1.54262472139839e-05;0.00976481448645182;2;36;Glycogen Metabolism (Wikipathways):WP500
}}
}}

Revision as of 14:55, 13 July 2012


Full id: C1671_Alveolar_Mesenchymal_Renal_Pericytes_Fibroblast_Placental_Smooth



Phase1 CAGE Peaks

Hg19::chr12:49961883..49961933,-p1@MCRS1
Hg19::chr17:80009748..80009808,+p1@GPS1
Hg19::chr19:52693259..52693335,+p1@PPP2R1A
Hg19::chr8:144911476..144911517,-p1@PUF60
Hg19::chr9:131873659..131873703,+p1@PPP2R4


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


p.valueFDRnGenesnPathwayName
0.000118258313708250.0249525041924409299IL-6 Signaling Pathway (Wikipathways):WP364
0.000118258313708250.0249525041924409299Wnt Signaling Pathway and Pluripotency (Wikipathways):WP399
1.54262472139839e-050.00976481448645182236Glycogen Metabolism (Wikipathways):WP500



Enriched Gene Ontology terms on this co-expression cluster<b>Summary:</b> Results for GOStat analysis on co-expressed clusters. Each cluster with promoters mapping to at least two different genes was analysed with GOStat (PMID: 14962934) with default parameter. <br><b>Analyst:</b> Erik Arner<br><br>link to source dataset<br>data


GO IDGO nameFDR corrected p-value
GO:0043086negative regulation of catalytic activity3.78194462493104e-05
GO:0045936negative regulation of phosphate metabolic process0.000158051900403208
GO:0000188inactivation of MAPK activity0.000206622407020211
GO:0043407negative regulation of MAP kinase activity0.000279449198969006
GO:0000159protein phosphatase type 2A complex0.000401363718236737
GO:0008601protein phosphatase type 2A regulator activity0.000401363718236737
GO:0008287protein serine/threonine phosphatase complex0.000691525695820129
GO:0006469negative regulation of protein kinase activity0.000691525695820129
GO:0033673negative regulation of kinase activity0.000691525695820129
GO:0051348negative regulation of transferase activity0.000691525695820129
GO:0051174regulation of phosphorus metabolic process0.000789676369929298
GO:0019220regulation of phosphate metabolic process0.000789676369929298
GO:0019888protein phosphatase regulator activity0.000893608372889712
GO:0050790regulation of catalytic activity0.000893608372889712
GO:0019208phosphatase regulator activity0.000893608372889712
GO:0043405regulation of MAP kinase activity0.00102509877655625
GO:0065009regulation of a molecular function0.00102509877655625
GO:0051248negative regulation of protein metabolic process0.00115829653005875
GO:0046982protein heterodimerization activity0.00115829653005875
GO:0032516positive regulation of phosphoprotein phosphatase activity0.00149739683319767
GO:0035305negative regulation of dephosphorylation0.00149739683319767
GO:0035308negative regulation of protein amino acid dephosphorylation0.00149739683319767
GO:0032515negative regulation of phosphoprotein phosphatase activity0.00149739683319767
GO:0000165MAPKKK cascade0.00187182064475157
GO:0043234protein complex0.00225849552721242
GO:0008160protein tyrosine phosphatase activator activity0.00237504134788093
GO:0035304regulation of protein amino acid dephosphorylation0.00237504134788093
GO:0035306positive regulation of dephosphorylation0.00237504134788093
GO:0035307positive regulation of protein amino acid dephosphorylation0.00237504134788093
GO:0044428nuclear part0.00256907040405961
GO:0008380RNA splicing0.00322838175416037
GO:0051004regulation of lipoprotein lipase activity0.00322838175416037
GO:0005625soluble fraction0.00328201699106695
GO:0045859regulation of protein kinase activity0.00328201699106695
GO:0043549regulation of kinase activity0.00328201699106695
GO:0006470protein amino acid dephosphorylation0.00328201699106695
GO:0051338regulation of transferase activity0.00328201699106695
GO:0051721protein phosphatase 2A binding0.00335941899159541
GO:0050732negative regulation of peptidyl-tyrosine phosphorylation0.00335941899159541
GO:0042518negative regulation of tyrosine phosphorylation of Stat3 protein0.00335941899159541
GO:0042532negative regulation of tyrosine phosphorylation of STAT protein0.00335941899159541
GO:0016311dephosphorylation0.00371002105991095
GO:0046426negative regulation of JAK-STAT cascade0.00391272925030626
GO:0035303regulation of dephosphorylation0.00391272925030626
GO:0032991macromolecular complex0.00402677508269199
GO:0051346negative regulation of hydrolase activity0.00439531790564664
GO:0019907cyclin-dependent protein kinase activating kinase holoenzyme complex0.00439531790564664
GO:0046983protein dimerization activity0.00537789962602607
GO:0033239negative regulation of amine metabolic process0.00537789962602607
GO:0001933negative regulation of protein amino acid phosphorylation0.00537789962602607
GO:0045763negative regulation of amino acid metabolic process0.00537789962602607
GO:0007243protein kinase cascade0.00537789962602607
GO:0031324negative regulation of cellular metabolic process0.00541627948881933
GO:0005515protein binding0.0055324140350824
GO:0008180signalosome0.0055324140350824
GO:0042516regulation of tyrosine phosphorylation of Stat3 protein0.0055324140350824
GO:0042503tyrosine phosphorylation of Stat3 protein0.0059348073943482
GO:0005095GTPase inhibitor activity0.0059348073943482
GO:0051246regulation of protein metabolic process0.00595602286000441
GO:0009892negative regulation of metabolic process0.00610674870586535
GO:0043666regulation of phosphoprotein phosphatase activity0.00610674870586535
GO:0019211phosphatase activator activity0.00610674870586535
GO:0042326negative regulation of phosphorylation0.00655577712693528
GO:0042509regulation of tyrosine phosphorylation of STAT protein0.00699071010828025
GO:0046425regulation of JAK-STAT cascade0.00794117338964218
GO:0006396RNA processing0.00819423571368854
GO:0019903protein phosphatase binding0.00873031183308974
GO:0007260tyrosine phosphorylation of STAT protein0.00910738425907021
GO:0019902phosphatase binding0.0109673418675596
GO:0045937positive regulation of phosphate metabolic process0.0122826775851395
GO:0030111regulation of Wnt receptor signaling pathway0.0130769167866152
GO:0006275regulation of DNA replication0.0131889294960938
GO:0050730regulation of peptidyl-tyrosine phosphorylation0.0131889294960938
GO:0005634nucleus0.0136970240374491
GO:0006464protein modification process0.0139019635560335
GO:0006672ceramide metabolic process0.0144746637695659
GO:0043412biopolymer modification0.0151993344077791
GO:0046519sphingoid metabolic process0.0154229990596633
GO:0007259JAK-STAT cascade0.0169640923904088
GO:0006915apoptosis0.0175839219603667
GO:0012501programmed cell death0.0175839219603667
GO:0018108peptidyl-tyrosine phosphorylation0.0175839219603667
GO:0018212peptidyl-tyrosine modification0.0175839219603667
GO:0065007biological regulation0.0175839219603667
GO:0001932regulation of protein amino acid phosphorylation0.0175839219603667
GO:0000267cell fraction0.0175839219603667
GO:0033238regulation of amine metabolic process0.0175839219603667
GO:0006521regulation of amino acid metabolic process0.0175839219603667
GO:0008219cell death0.0175839219603667
GO:0016265death0.0175839219603667
GO:0051052regulation of DNA metabolic process0.0184923501563252
GO:0048522positive regulation of cellular process0.0189376544774643
GO:0030308negative regulation of cell growth0.0195671720898842
GO:0045792negative regulation of cell size0.0197231137967106
GO:0044424intracellular part0.0198778405874726
GO:0045926negative regulation of growth0.0218066619643468
GO:0010033response to organic substance0.0218919223482464
GO:0048518positive regulation of biological process0.0218919223482464
GO:0042325regulation of phosphorylation0.0221818958115347
GO:0007254JNK cascade0.0223018899835282
GO:0030155regulation of cell adhesion0.0224194681089413
GO:0031098stress-activated protein kinase signaling pathway0.0226476577150369
GO:0006665sphingolipid metabolic process0.0226476577150369
GO:0048523negative regulation of cellular process0.0235410929670742
GO:0051345positive regulation of hydrolase activity0.0248182608014528
GO:0048519negative regulation of biological process0.0248950097654811
GO:0043283biopolymer metabolic process0.0265148531260851
GO:0048468cell development0.0267244856626852
GO:0051247positive regulation of protein metabolic process0.0267244856626852
GO:0031323regulation of cellular metabolic process0.0275270140054957
GO:0044446intracellular organelle part0.0310106326982573
GO:0044422organelle part0.0310106326982573
GO:0019222regulation of metabolic process0.0311549359038064
GO:0009968negative regulation of signal transduction0.0312291095401296
GO:0005622intracellular0.0330791608794974
GO:0018193peptidyl-amino acid modification0.0356717009529934
GO:0043231intracellular membrane-bound organelle0.0357841435503027
GO:0043227membrane-bound organelle0.0357841435503027
GO:0045595regulation of cell differentiation0.0412638299707287
GO:0016055Wnt receptor signaling pathway0.0412638299707287
GO:0006793phosphorus metabolic process0.0432363809675238
GO:0006796phosphate metabolic process0.0432363809675238
GO:0042803protein homodimerization activity0.0438331172398033
GO:0001558regulation of cell growth0.0445698769321459
GO:0006261DNA-dependent DNA replication0.0450241300018458
GO:0048869cellular developmental process0.0469299736103358
GO:0030154cell differentiation0.0469299736103358
GO:0003823antigen binding0.0471333021701575



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>


Uber Anatomy
Ontology termp-valuen
cell layer3.50e-15312
dermomyotome1.75e-1470
epithelium2.12e-14309
epithelial tube2.78e-14118
multilaminar epithelium3.06e-1482
vasculature4.55e-1479
vascular system4.55e-1479
somite7.81e-1483
paraxial mesoderm7.81e-1483
presomitic mesoderm7.81e-1483
presumptive segmental plate7.81e-1483
trunk paraxial mesoderm7.81e-1483
presumptive paraxial mesoderm7.81e-1483
artery4.95e-1342
arterial blood vessel4.95e-1342
arterial system4.95e-1342
splanchnic layer of lateral plate mesoderm2.18e-1284
skeletal muscle tissue4.57e-1261
striated muscle tissue4.57e-1261
myotome4.57e-1261
trunk mesenchyme5.00e-12143
unilaminar epithelium1.06e-11138
blood vessel1.74e-1160
epithelial tube open at both ends1.74e-1160
blood vasculature1.74e-1160
vascular cord1.74e-1160
vessel3.54e-1169
muscle tissue4.85e-1163
musculature4.85e-1163
musculature of body4.85e-1163
circulatory system3.09e-09113
multi-tissue structure3.21e-09347
systemic artery3.90e-0933
systemic arterial system3.90e-0933
cardiovascular system1.20e-08110
nephron epithelium2.57e-0816
nephron2.57e-0816
uriniferous tubule2.57e-0816
metanephric mesenchyme2.57e-0816
nephrogenic mesenchyme2.57e-0816
anatomical cluster3.22e-08286
mesenchyme7.19e-08238
entire embryonic mesenchyme7.19e-08238
organism subdivision7.66e-08365
trunk8.19e-08216
tube1.37e-07194
excretory tube1.69e-0717
mesonephric epithelium1.69e-0717
mesonephric tubule1.69e-0717
nephric duct1.69e-0717
kidney epithelium1.69e-0717
renal duct1.69e-0717
mesonephric duct1.69e-0717
pronephric duct1.69e-0717
cortex of kidney4.28e-0713
renal parenchyma4.28e-0713


Overrepresented TFBS (DNA) motifs on this co-expression cluster<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}}}



ENCODE TF ChIP-seq peak enrichment analysis<b>Summary:</b> For each TF and each co-expression cluster, the number of promoters with ENCODE TF ChIP signal was compared with the rest of promoters from the robust set using Fisher's exact test. Clusters with significant ChIP enrichment (q <= 0.05) after Benjamini-Hochberg correction were retained. <br><b>Analyst:</b> Erik Arner<br><br>link to source dataset<br><br>data


No analysis results for this cluster

Relative expression of the co-expression cluster<b>Summary:</b>Co-expression clusters are compared against FANTOM5 samples to obtain relative expression. <br><b>Analyst:</b>NA<br><br>link to data source<br> data


This analysis result is provided for C0 - C305 clusters.