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{{Coexpression_clusters
{
|coexpression_dpi_cluster_scores_median=-0.0436060677612968

Latest revision as of 12:19, 17 September 2013


Full id: C3137_gastric_chronic_mycosis_acute_teratocarcinoma_mesenchymal_hepatocellular



Phase1 CAGE Peaks

Hg19::chr11:27384634..27384656,-p4@CCDC34
Hg19::chr11:27384671..27384693,-p3@CCDC34
Hg19::chr11:27384695..27384718,-p2@CCDC34


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><br><br>disease_data<br>


Disease
Ontology termp-valuen
disease of cellular proliferation1.38e-18239
cancer1.22e-17235
organ system cancer7.42e-10137
cell type cancer2.35e-07143
hematologic cancer2.73e-0751
immune system cancer2.73e-0751


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)
MA0003.11.0927
MA0004.11.93041
MA0006.10.639288
MA0007.10.804807
MA0009.11.3275
MA0014.10.118426
MA0017.10.686276
MA0019.10.990656
MA0024.11.21731
MA0025.11.46617
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
MA0058.11.70328
MA0059.10.714521
MA0060.12.13518
MA0061.10.456531
MA0063.10
MA0066.10.941452
MA0067.11.65513
MA0068.14.85157
MA0069.11.31207
MA0070.11.30033
MA0071.10.897953
MA0072.11.29561
MA0073.10.211629
MA0074.10.935474
MA0076.10.734647
MA0077.11.28751
MA0078.11.04495
MA0081.10.714712
MA0083.12.96495
MA0084.11.84562
MA0087.11.29304
MA0088.11.31954
MA0089.10
MA0090.10.751469
MA0091.10.829044
MA0092.10.785956
MA0093.11.55117
MA0095.10
MA0098.10
MA0100.10.956299
MA0101.10.646932
MA0103.10.628063
MA0105.10.31555
MA0106.10.986396
MA0107.10.556367
MA0108.21.15387
MA0109.10
MA0111.10.767139
MA0113.11.00436
MA0114.10.549955
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
MA0139.11.12079
MA0140.10.894983
MA0141.10.712476
MA0142.11.12317
MA0143.11.00455
MA0144.10.531867
MA0145.12.94723
MA0146.11.70974
MA0147.12.37462
MA0148.10.854239
MA0149.10.884158
MA0062.20.449458
MA0035.20.894194
MA0039.20.0526989
MA0138.21.04628
MA0002.20.476938
MA0137.20.666381
MA0104.23.15214
MA0047.20.973066
MA0112.20.264678
MA0065.20.277623
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
MA0159.10.565904
MA0160.10.871361
MA0161.10
MA0162.10.455568
MA0163.11.2663
MA0164.13.79952
MA0080.20.643061
MA0018.20.987913
MA0099.20.902716
MA0079.22.70224
MA0102.21.88331
MA0258.10.519674
MA0259.11.40979
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
CCNT2#90536.336201576962630.003930750035764890.0189198821543575
CHD2#1106310.34402283411690.0009033701102746880.00658526355461563
E2F1#186934.907389214879320.008460985347239390.0323683827355434
E2F4#1874312.66806031528440.0004917987006298980.00435574664985464
E2F6#187635.017155731697390.00791769806886330.0320485415322073
EGR1#195834.988179094810140.008056488137383440.0319127499271861
ELF1#199734.258097958807540.01295179875054610.046013977947011
EP300#203336.77394172622320.003216880500103790.0166882466993016
FOSL2#2355316.93020060456170.0002060162053171620.00242271438656898
HMGN3#932438.178547723350590.001827766942164210.0108324907316246
HNF4A#3172323.13229036295378.07584663437677e-050.0012248523767756
MAX#414936.452555509007120.003721913834265510.0185782611927953
MXI1#460139.96157162875930.001011470541259020.00718276819599857
MYC#460935.22228187160940.007020843755740150.029324131213987
NANOG#79923329.24477848101273.99627955670032e-050.000734026452026425
REST#597839.650028716128020.001112636247114590.00765346881462166
RFX5#5993312.04791082719510.0005717246050312580.00483093414440611
SIN3A#2594235.408884726815140.006318961977991520.0275494080575853
SMARCB1#6598318.25271578115740.000164397760679890.00202590415665452
SMARCC1#6599343.66335931963151.20046018043203e-050.000300875595834271
SREBF1#6720347.00584944048839.62099323994382e-060.000254124156041096
STAT1#6772320.70658749719920.0001125992441046670.00154428791267857
TCF7L2#6934310.77017656313730.0008003181298398380.00611802262936194
USF1#739136.361499277207960.00388404057290560.018957160173553
YY1#752834.911170749853860.008441455341808260.0328019181621131
ZNF143#7702313.50087655222790.0004062804962997170.00387750422672449
ZNF263#1012738.221841637010680.001799043925565870.0108947204303708



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.