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Coexpression cluster:C3634: Difference between revisions

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{{Coexpression_clusters
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|full_id=C3634_testicular_Trabecular_osteosarcoma_gastric_Fibroblast_teratocarcinoma_lung
|id=C3634
}}

Latest revision as of 12:30, 17 September 2013


Full id: C3634_testicular_Trabecular_osteosarcoma_gastric_Fibroblast_teratocarcinoma_lung



Phase1 CAGE Peaks

Hg19::chr17:41622982..41623001,-p11@ETV4
Hg19::chr17:41623009..41623053,-p4@ETV4
Hg19::chr17:41623075..41623101,-p9@ETV4


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

No GOStat results

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
epithelial cell5.68e-31253
embryonic cell6.89e-23250
animal cell3.45e-22679
eukaryotic cell3.45e-22679
native cell7.09e-11722
mesodermal cell5.57e-09121
squamous epithelial cell9.48e-0963
somatic cell7.10e-08588
endodermal cell8.23e-0858
endo-epithelial cell6.56e-0742
Uber Anatomy
Ontology termp-valuen
organism subdivision1.94e-15264
unilaminar epithelium5.15e-13148
epithelial tube8.42e-12117
trunk1.70e-11199
cell layer8.88e-11309
epithelium4.91e-10306
mesenchyme3.64e-09160
entire embryonic mesenchyme3.64e-09160
trunk region element4.06e-09101
trunk mesenchyme9.65e-09122
primordium1.36e-07160
artery1.84e-0742
arterial blood vessel1.84e-0742
arterial system1.84e-0742
anatomical cluster1.86e-07373
vasculature2.80e-0778
vascular system2.80e-0778
multi-tissue structure3.42e-07342
epithelial tube open at both ends4.53e-0759
blood vessel4.53e-0759
blood vasculature4.53e-0759
vascular cord4.53e-0759
immaterial anatomical entity4.88e-07117
endoderm-derived structure7.75e-07160
endoderm7.75e-07160
presumptive endoderm7.75e-07160
multilaminar epithelium9.04e-0783
epithelial vesicle9.48e-0778
Disease
Ontology termp-valuen
cancer7.61e-12235
carcinoma7.77e-12106
cell type cancer8.63e-12143
disease of cellular proliferation2.35e-11239


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)
MA0003.10.708947
MA0004.10.826076
MA0006.10.639288
MA0007.10.804807
MA0009.11.3275
MA0014.10.118426
MA0017.10.686276
MA0019.10.990656
MA0024.12.72668
MA0025.13.22835
MA0027.12.95767
MA0028.10.658629
MA0029.11.23771
MA0030.11.22561
MA0031.11.15713
MA0038.10.94098
MA0040.11.24388
MA0041.10.847069
MA0042.10.810843
MA0043.11.32783
MA0046.11.31611
MA0048.10.341392
MA0050.10.81185
MA0051.10.936307
MA0052.11.24796
MA0055.10.190716
MA0056.10
MA0057.10.333427
MA0058.10.716037
MA0059.10.714521
MA0060.10.492218
MA0061.12.99448
MA0063.10
MA0066.10.941452
MA0067.11.65513
MA0068.10.405474
MA0069.11.31207
MA0070.11.30033
MA0071.10.897953
MA0072.11.29561
MA0073.115.8256
MA0074.10.935474
MA0076.10.734647
MA0077.11.28751
MA0078.11.04495
MA0081.10.714712
MA0083.11.33535
MA0084.11.84562
MA0087.11.29304
MA0088.11.31954
MA0089.10
MA0090.10.751469
MA0091.10.829044
MA0092.10.785956
MA0093.10.642957
MA0095.10
MA0098.10
MA0100.10.956299
MA0101.10.646932
MA0103.10.628063
MA0105.11.5295
MA0106.10.986396
MA0107.10.556367
MA0108.21.15387
MA0109.10
MA0111.10.767139
MA0113.11.00436
MA0114.11.35563
MA0115.11.57693
MA0116.10.560723
MA0117.11.36676
MA0119.10.695578
MA0122.11.39371
MA0124.11.53432
MA0125.11.44766
MA0130.10
MA0131.11.06461
MA0132.10
MA0133.10
MA0135.11.35921
MA0136.10.948776
MA0139.10.440097
MA0140.10.894983
MA0141.10.712476
MA0142.11.12317
MA0143.11.00455
MA0144.10.531867
MA0145.10.752137
MA0146.12.3244
MA0147.10.565108
MA0148.10.854239
MA0149.10.884158
MA0062.20.449458
MA0035.20.894194
MA0039.22.15877
MA0138.21.04628
MA0002.20.476938
MA0137.20.666381
MA0104.20.491226
MA0047.20.973066
MA0112.20.264678
MA0065.22.97249
MA0150.10.744617
MA0151.10
MA0152.10.902317
MA0153.11.43021
MA0154.10.312019
MA0155.10.711948
MA0156.10.669101
MA0157.11.09377
MA0158.10
MA0159.12.37721
MA0160.10.871361
MA0161.10
MA0162.10.455568
MA0163.12.48891
MA0164.11.01792
MA0080.20.643061
MA0018.20.987913
MA0099.20.902716
MA0079.25.16052
MA0102.21.88331
MA0258.10.519674
MA0259.10.575594
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

(#promoters = Number of promoters in this coexpression cluster that have ChIP signal of the TF)

TF#promotersEnrichmentp-valueq-value
BHLHE40#8553344.87181354697741.10603738662898e-050.000284375772087996
CCNT2#90536.336201576962630.003930750035764890.018982872606365
CHD2#1106310.34402283411690.0009033701102746880.00659954329511599
CTCF#1066435.360256373075030.0064925092527670.0279145022374432
E2F1#186934.907389214879320.008460985347239390.0324897730965635
E2F6#187635.017155731697390.00791769806886330.0321694794247817
EGR1#195834.988179094810140.008056488137383440.0320220568039347
EP300#203336.77394172622320.003216880500103790.0167322965561203
FOSL2#2355316.93020060456170.0002060162053171620.00242763471365441
FOXA1#3169311.08141974938550.000734755275698670.00580769743727339
GABPB1#255337.067683836182170.002832212825417420.0153946848794509
HDAC2#3066313.41562023662630.0004140761399857210.00390868564569493
HNF4A#3172323.13229036295378.07584663437677e-050.00122734771048847
HNF4G#3174328.75342252644684.20470658818262e-050.000756347487707897
RXRA#6256320.07461713913330.0001235730348432220.0016516309426659
SIN3A#2594235.408884726815140.006318961977991520.0276324611656599
SP1#666735.69838137814090.005403962701712170.024620881237365
TCF7L2#6934310.77017656313730.0008003181298398380.00612923848077604
YY1#752834.911170749853860.008441455341808260.0328937077249128
ZBTB7A#5134137.35190930787590.002516255860282270.013999320572769



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.

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