Personal tools

Coexpression cluster:C775: Difference between revisions

From FANTOM5_SSTAR

Jump to: navigation, search
No edit summary
No edit summary
 
(4 intermediate revisions by the same user not shown)
Line 1: Line 1:
{{Coexpression_clusters
{
|full_id=C775_hepatic_Preadipocyte_Mallassezderived_mesenchymal_Smooth_spindle_pagetoid
 

Latest revision as of 11:30, 17 September 2013


Full id: C775_hepatic_Preadipocyte_Mallassezderived_mesenchymal_Smooth_spindle_pagetoid



Phase1 CAGE Peaks

Hg19::chr7:41726036..41726056,-p@chr7:41726036..41726056
-
Hg19::chr7:41726322..41726338,-p1@AK001903
Hg19::chr7:41727482..41727524,-p@chr7:41727482..41727524
-
Hg19::chr7:41728018..41728036,-p@chr7:41728018..41728036
-
Hg19::chr7:41728212..41728233,-p@chr7:41728212..41728233
-
Hg19::chr7:41728926..41728940,-p@chr7:41728926..41728940
-
Hg19::chr7:41729199..41729236,-p@chr7:41729199..41729236
-
Hg19::chr7:41729382..41729394,-p11@INHBA
Hg19::chr7:41729687..41729699,-p15@INHBA
Hg19::chr7:41742660..41742695,-p1@INHBA
Hg19::chr7:41742697..41742714,-p2@INHBA


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


No results for this coexpression

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:0048180activin complex0.00126574826327564
GO:0043509activin A complex0.00126574826327564
GO:0043511inhibin complex0.00126574826327564
GO:0043512inhibin A complex0.00126574826327564
GO:0045077negative regulation of interferon-gamma biosynthetic process0.00126574826327564
GO:0045650negative regulation of macrophage differentiation0.00126574826327564
GO:0032278positive regulation of gonadotropin secretion0.00126574826327564
GO:0046881positive regulation of follicle-stimulating hormone secretion0.00126574826327564
GO:0045578negative regulation of B cell differentiation0.00126574826327564
GO:0032276regulation of gonadotropin secretion0.00126574826327564
GO:0046880regulation of follicle-stimulating hormone secretion0.00126574826327564
GO:0046887positive regulation of hormone secretion0.00126574826327564
GO:0048184follistatin binding0.00126574826327564
GO:0046882negative regulation of follicle-stimulating hormone secretion0.00126574826327564
GO:0042541hemoglobin biosynthetic process0.00126574826327564
GO:0045620negative regulation of lymphocyte differentiation0.00126574826327564
GO:0032277negative regulation of gonadotropin secretion0.00126574826327564
GO:0017106activin inhibitor activity0.00126574826327564
GO:0045649regulation of macrophage differentiation0.00126574826327564
GO:0032925regulation of activin receptor signaling pathway0.00126574826327564
GO:0032274gonadotropin secretion0.00126574826327564
GO:0020027hemoglobin metabolic process0.00126574826327564
GO:0032924activin receptor signaling pathway0.00126574826327564
GO:0046884follicle-stimulating hormone secretion0.00126574826327564
GO:0045648positive regulation of erythrocyte differentiation0.00126574826327564
GO:0050869negative regulation of B cell activation0.00146047876531804
GO:0045577regulation of B cell differentiation0.00187518261226021
GO:0002762negative regulation of myeloid leukocyte differentiation0.00203423828026442
GO:0030225macrophage differentiation0.002175504827505
GO:0005160transforming growth factor beta receptor binding0.002175504827505
GO:0046888negative regulation of hormone secretion0.002175504827505
GO:0045646regulation of erythrocyte differentiation0.002175504827505
GO:0045072regulation of interferon-gamma biosynthetic process0.00222361181386261
GO:0042326negative regulation of phosphorylation0.00222361181386261
GO:0045639positive regulation of myeloid cell differentiation0.00222361181386261
GO:0042095interferon-gamma biosynthetic process0.00222361181386261
GO:0045936negative regulation of phosphate metabolic process0.00222361181386261
GO:0002761regulation of myeloid leukocyte differentiation0.00249818736172823
GO:0045619regulation of lymphocyte differentiation0.00253149652655128
GO:0042036negative regulation of cytokine biosynthetic process0.00253149652655128
GO:0051048negative regulation of secretion0.00258903053851835
GO:0001541ovarian follicle development0.00258903053851835
GO:0032609interferon-gamma production0.00258903053851835
GO:0045638negative regulation of myeloid cell differentiation0.00258903053851835
GO:0046883regulation of hormone secretion0.00261404532633012
GO:0051250negative regulation of lymphocyte activation0.00261404532633012
GO:0051047positive regulation of secretion0.002827735481786
GO:0022601menstrual cycle phase0.00316437065818909
GO:0022602menstrual cycle process0.0031643706581891
GO:0050864regulation of B cell activation0.0031643706581891
GO:0008585female gonad development0.00335051010867081
GO:0030183B cell differentiation0.00339876848472162
GO:0046545development of primary female sexual characteristics0.00339876848472162
GO:0046660female sex differentiation0.00339876848472162
GO:0002573myeloid leukocyte differentiation0.00345204071802447
GO:0030218erythrocyte differentiation0.00358628674594764
GO:0042698menstrual cycle0.00358628674594764
GO:0045637regulation of myeloid cell differentiation0.00358628674594764
GO:0000082G1/S transition of mitotic cell cycle0.00358628674594764
GO:0046879hormone secretion0.00358628674594764
GO:0017148negative regulation of translation0.00425374416346731
GO:0031327negative regulation of cellular biosynthetic process0.00459344127801643
GO:0045597positive regulation of cell differentiation0.00472144193444087
GO:0009890negative regulation of biosynthetic process0.00498628103714645
GO:0008406gonad development0.00498628103714645
GO:0048608reproductive structure development0.00498628103714645
GO:0030308negative regulation of cell growth0.00500631775773201
GO:0045792negative regulation of cell size0.00502576516300621
GO:0051046regulation of secretion0.00514737627065426
GO:0045137development of primary sexual characteristics0.00514737627065426
GO:0042035regulation of cytokine biosynthetic process0.00514737627065426
GO:0048609reproductive process in a multicellular organism0.00514737627065426
GO:0032504multicellular organism reproduction0.00514737627065426
GO:0042113B cell activation0.00514737627065426
GO:0045926negative regulation of growth0.00514737627065426
GO:0042325regulation of phosphorylation0.00526025252270395
GO:0030098lymphocyte differentiation0.00526025252270395
GO:0045596negative regulation of cell differentiation0.00526124278108549
GO:0042089cytokine biosynthetic process0.00526124278108549
GO:0042107cytokine metabolic process0.00526124278108549
GO:0051094positive regulation of developmental process0.00526124278108549
GO:0051174regulation of phosphorus metabolic process0.00526124278108549
GO:0019220regulation of phosphate metabolic process0.00526124278108549
GO:0003001generation of a signal involved in cell-cell signaling0.00527395109698183
GO:0007178transmembrane receptor protein serine/threonine kinase signaling pathway0.00553764865183092
GO:0051249regulation of lymphocyte activation0.00553764865183092
GO:0030099myeloid cell differentiation0.00553764865183092
GO:0051093negative regulation of developmental process0.00553764865183092
GO:0050865regulation of cell activation0.00568875623944107
GO:0007548sex differentiation0.00569586718474037
GO:0051329interphase of mitotic cell cycle0.00591146166914447
GO:0003006reproductive developmental process0.00598478798396633
GO:0002521leukocyte differentiation0.00605943317525571
GO:0051325interphase0.00605943317525571
GO:0007050cell cycle arrest0.00672845129425471
GO:0051248negative regulation of protein metabolic process0.00685613642607637
GO:0001816cytokine production0.0073726574098014
GO:0045944positive regulation of transcription from RNA polymerase II promoter0.00897648003037315
GO:0045595regulation of cell differentiation0.00920544191473192
GO:0046649lymphocyte activation0.0098095490403862
GO:0030097hemopoiesis0.0100515303260124
GO:0001558regulation of cell growth0.0100515303260124
GO:0048534hemopoietic or lymphoid organ development0.0106298276478974
GO:0045321leukocyte activation0.0109535907398853
GO:0002520immune system development0.0109698182817222
GO:0006417regulation of translation0.0109857396435244
GO:0031326regulation of cellular biosynthetic process0.0116704312347891
GO:0016049cell growth0.0116704312347891
GO:0040008regulation of growth0.0116704312347891
GO:0008361regulation of cell size0.0118098833493129
GO:0001501skeletal development0.0118098833493129
GO:0001775cell activation0.0118098833493129
GO:0006917induction of apoptosis0.0118247535121803
GO:0012502induction of programmed cell death0.0118247535121803
GO:0005179hormone activity0.0118391109108109
GO:0009889regulation of biosynthetic process0.0118391109108109
GO:0045893positive regulation of transcription, DNA-dependent0.0120624727654046
GO:0045786negative regulation of progression through cell cycle0.0120675152219076
GO:0050793regulation of developmental process0.0125511172324811
GO:0008083growth factor activity0.013343096275364
GO:0043065positive regulation of apoptosis0.0133837316362752
GO:0043068positive regulation of programmed cell death0.0133837316362752
GO:0051239regulation of multicellular organismal process0.0142396679618509
GO:0045941positive regulation of transcription0.0142396679618509
GO:0045935positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process0.0146320499234664
GO:0007167enzyme linked receptor protein signaling pathway0.0150684317056624
GO:0022414reproductive process0.0151989456810657
GO:0005125cytokine activity0.0153274203756034
GO:0000278mitotic cell cycle0.0159935633266612
GO:0000074regulation of progression through cell cycle0.0171849668052423
GO:0051726regulation of cell cycle0.0173436498670211
GO:0042802identical protein binding0.0173683502291582
GO:0031325positive regulation of cellular metabolic process0.0173683502291582
GO:0022403cell cycle phase0.0174276533264444
GO:0031324negative regulation of cellular metabolic process0.0178611143817785
GO:0046903secretion0.0178693872462443
GO:0009893positive regulation of metabolic process0.0180623201073275
GO:0051246regulation of protein metabolic process0.0192594070275394
GO:0006357regulation of transcription from RNA polymerase II promoter0.0192594070275394
GO:0009892negative regulation of metabolic process0.0197095086710064
GO:0000902cell morphogenesis0.021303791191752
GO:0032989cellular structure morphogenesis0.021303791191752
GO:0005615extracellular space0.0233676602450887
GO:0042981regulation of apoptosis0.0250512677106637
GO:0043067regulation of programmed cell death0.0251403792981644
GO:0006952defense response0.0253149652655128
GO:0022402cell cycle process0.0269079137601113
GO:0009605response to external stimulus0.0270026296165469
GO:0007267cell-cell signaling0.0270026296165469
GO:0006366transcription from RNA polymerase II promoter0.0270026296165469
GO:0007399nervous system development0.0300091310101112
GO:0009966regulation of signal transduction0.0333091648230431
GO:0007049cell cycle0.0347046664342569
GO:0006915apoptosis0.035136843022749
GO:0012501programmed cell death0.0351959678368903
GO:0008219cell death0.0364503455563554
GO:0016265death0.0364503455563554
GO:0044421extracellular region part0.0364503455563554
GO:0065008regulation of biological quality0.037735120098905
GO:0048522positive regulation of cellular process0.037735120098905
GO:0005102receptor binding0.0407633835098397
GO:0009653anatomical structure morphogenesis0.0409024207299257
GO:0048518positive regulation of biological process0.0412338851410653
GO:0048523negative regulation of cellular process0.0437642051029546
GO:0048513organ development0.0437642051029546
GO:0048519negative regulation of biological process0.0450636881684279
GO:0006412translation0.0457412620890328
GO:0048468cell development0.0467874804460816



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 termp-valuen
animal cell8.73e-12679
eukaryotic cell8.73e-12679
somatic cell1.07e-11588
somatic stem cell1.26e-10433
preadipocyte5.42e-1012
multi fate stem cell5.74e-10427
stem cell9.54e-10441
vascular associated smooth muscle cell1.10e-0932
fibroblast4.98e-0976
smooth muscle cell2.15e-0843
smooth muscle myoblast2.15e-0843
native cell1.55e-07722
muscle precursor cell6.97e-0758
myoblast6.97e-0758
multi-potent skeletal muscle stem cell6.97e-0758
Uber Anatomy
Ontology termp-valuen
omentum1.66e-076
peritoneum1.66e-076
abdominal cavity1.66e-076
visceral peritoneum1.66e-076
artery5.74e-0742
arterial blood vessel5.74e-0742
arterial system5.74e-0742
Disease
Ontology termp-valuen
ovarian cancer8.72e-0714


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)
MA0003.10.000970254
MA0004.10.349539
MA0006.10.210781
MA0007.10.332734
MA0009.10.79061
MA0014.10.00227771
MA0017.10.24363
MA0019.10.486183
MA0024.10.688373
MA0025.10.921763
MA0027.12.39404
MA0028.10.224112
MA0029.10.707146
MA0030.10.696006
MA0031.10.633489
MA0038.11.12886
MA0040.10.712837
MA0041.11.70844
MA0042.10.337481
MA0043.10.790919
MA0046.10.779945
MA0048.10.0494179
MA0050.10.338274
MA0051.10.439895
MA0052.10.716602
MA0055.10.136684
MA0056.10
MA0057.10.176435
MA0058.10.265212
MA0059.10.2641
MA0060.10.119532
MA0061.10.100525
MA0063.10
MA0066.10.444231
MA0067.11.1037
MA0068.10.556338
MA0069.10.776171
MA0070.10.765217
MA0071.10.40788
MA0072.10.760818
MA0073.11.08342
MA0074.10.439193
MA0076.10.278993
MA0077.10.753278
MA0078.10.533387
MA0081.10.26424
MA0083.10.79797
MA0084.11.28962
MA0087.10.758426
MA0088.10.0234479
MA0089.10
MA0090.10.291627
MA0091.10.927876
MA0092.10.318032
MA0093.10.213288
MA0095.10
MA0098.10
MA0100.10.456802
MA0101.10.617985
MA0103.10.203171
MA0105.10.0403209
MA0106.10.482519
MA0107.10.475157
MA0108.20.630531
MA0109.10
MA0111.10.303543
MA0113.10.498009
MA0114.10.153042
MA0115.11.02805
MA0116.10.159642
MA0117.10.827487
MA0119.10.250314
MA0122.10.852927
MA0124.10.98702
MA0125.10.904129
MA0130.10
MA0131.10.550695
MA0132.10
MA0133.10
MA0135.10.820382
MA0136.10.450422
MA0139.10.0922451
MA0140.10.405425
MA0141.10.726533
MA0142.11.46715
MA0143.11.24556
MA0144.10.438224
MA0145.10.02761
MA0146.10.0109959
MA0147.10.162359
MA0148.10.372124
MA0149.10.396509
MA0062.20.0969238
MA0035.20.404774
MA0039.20.0944823
MA0138.20.534556
MA0002.20.358551
MA0137.20.229531
MA0104.20.118985
MA0047.20.47109
MA0112.20.0251803
MA0065.20.11899
MA0150.10.286461
MA0151.10
MA0152.11.86388
MA0153.10.887528
MA0154.10.153348
MA0155.10.245306
MA0156.10.231442
MA0157.10.576556
MA0158.10
MA0159.10.162854
MA0160.10.386031
MA0161.10
MA0162.10.0266618
MA0163.10.00253231
MA0164.10.509774
MA0080.20.21336
MA0018.20.483823
MA0099.20.411824
MA0079.20.0134506
MA0102.21.32663
MA0258.10.135061
MA0259.10.504687
MA0442.10



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.