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Coexpression cluster:C3467

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Full id: C3467_acute_non_diffuse_chronic_myeloma_merkel_B



Phase1 CAGE Peaks

Hg19::chr14:96000839..96000849,-p9@SNHG10
Hg19::chr14:96000850..96000861,-p8@SNHG10
Hg19::chr14:96000869..96000881,-p7@SNHG10


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
nucleate cell2.34e-1755
lymphocyte6.51e-1653
common lymphoid progenitor6.51e-1653
lymphoid lineage restricted progenitor cell5.10e-1552
lymphocyte of B lineage6.59e-1124
pro-B cell6.59e-1124
hematopoietic cell4.97e-08177
Uber Anatomy
Ontology termp-valuen
connective tissue3.23e-07371
Disease
Ontology termp-valuen
hematologic cancer1.04e-1851
immune system cancer1.04e-1851
leukemia1.15e-1139
lymphoma1.42e-0810
cancer1.60e-08235
organ system cancer4.28e-08137
disease of cellular proliferation6.10e-08239


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)
MA0003.10.178364
MA0004.10.826076
MA0006.10.639288
MA0007.10.804807
MA0009.11.3275
MA0014.11.24048
MA0017.10.686276
MA0019.10.990656
MA0024.11.21731
MA0025.11.46617
MA0027.12.95767
MA0028.11.58389
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
MA0060.12.13518
MA0061.10.456531
MA0063.10
MA0066.10.941452
MA0067.11.65513
MA0068.10.405474
MA0069.11.31207
MA0070.11.30033
MA0071.13.42881
MA0072.11.29561
MA0073.10.0185922
MA0074.10.935474
MA0076.14.21544
MA0077.11.28751
MA0078.11.04495
MA0081.10.714712
MA0083.11.33535
MA0084.11.84562
MA0087.11.29304
MA0088.12.03569
MA0089.10
MA0090.10.751469
MA0091.10.829044
MA0092.10.785956
MA0093.10.642957
MA0095.10
MA0098.10
MA0100.13.60951
MA0101.10.646932
MA0103.10.628063
MA0105.10.31555
MA0106.12.25834
MA0107.10.556367
MA0108.21.15387
MA0109.10
MA0111.11.80901
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
MA0139.10.440097
MA0140.10.894983
MA0141.10.712476
MA0142.11.12317
MA0143.11.00455
MA0144.11.31729
MA0145.10.273764
MA0146.11.16674
MA0147.10.565108
MA0148.10.854239
MA0149.10.884158
MA0062.21.141
MA0035.20.894194
MA0039.20.0526989
MA0138.21.04628
MA0002.20.476938
MA0137.20.666381
MA0104.20.491226
MA0047.20.973066
MA0112.21.34467
MA0065.20.760954
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
MA0159.13.48527
MA0160.10.871361
MA0161.10
MA0162.10.149099
MA0163.10.387745
MA0164.11.01792
MA0080.20.643061
MA0018.20.987913
MA0099.20.902716
MA0079.20.0107199
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
CHD2#1106310.34402283411690.0009033701102746880.00659493016545353
E2F1#186934.907389214879320.008460985347239390.0324468256106461
E2F6#187635.017155731697390.00791769806886330.0321344759108543
EBF1#187938.9064668465690.00141523283560980.00913902814062031
ELF1#199734.258097958807540.01295179875054610.046114373221569
ELK4#2005316.2356816584680.0002336043955745990.00255390028990009
FOS#235338.99795530889440.001372499272417130.00896226406852398
GABPB1#255337.067683836182170.002832212825417420.0153842760323384
GATA1#2623313.56030814380040.0004009615963782630.00387310656346184
GTF2F1#2962312.73966087675770.0004835525047438590.00433231020356386
IRF1#365937.63716375356390.002244692747297240.0127833287439324
IRF3#3661346.98195221148969.63568551583244e-060.000253422654139518
IRF4#3662321.91451268674419.49854535978121e-050.00136416196208772
MAX#414936.452555509007120.003721913834265510.0186174126604174
MXI1#460139.96157162875930.001011470541259020.00719254931970797
MYC#460935.22228187160940.007020843755740150.0293899515413742
NFKB1#479035.488063424193840.006049381815655430.0269145176555013
NFYA#4800318.42558069983050.0001598135507814160.00199245164498751
NFYB#4801316.75979325353650.0002123649923296180.00245344993737976
NR2C2#7182332.61461090524092.88098172333076e-050.000604311810007916
NRF1#4899312.21027944771090.0005492172401020010.00470315671851533
PAX5#507936.669565531177830.003370290999677260.0172637118895136
PBX3#5090321.91451268674419.49854535978121e-050.0013643495789165
RFX5#5993312.04791082719510.0005717246050312580.0048391560114158
SIN3A#2594235.408884726815140.006318961977991520.0275989490640455
SIX5#147912317.0867153554590.0002004060546325010.00239366513492266
SP1#666735.69838137814090.005403962701712170.0245983464349772
SP2#6668326.15353049384465.58768218891694e-050.000938973354993235
SREBF1#6720347.00584944048839.62099323994382e-060.000254381496958606
SREBF2#67213436.9432624113481.19027063774682e-088.90477615584817e-07
SRF#6722313.79717826216780.0003806615025800190.00374490454671765
USF1#739136.361499277207960.00388404057290560.0189926637978129
USF2#7392312.99219738506960.0004558979393427810.00421060531367357
ZNF143#7702313.50087655222790.0004062804962997170.00388353731951731



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.