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Coexpression cluster:C657

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Full id: C657_Neutrophils_cerebellum_Fibroblast_occipital_thyroid_Olfactory_CD4



Phase1 CAGE Peaks

Hg19::chr11:65267113..65267136,-p8@BC020337
Hg19::chr11:65267144..65267219,-p1@BC020337
Hg19::chr11:65267245..65267303,-p2@BC020337
Hg19::chr11:65267319..65267347,-p7@BC020337
Hg19::chr11:65267403..65267429,-p6@BC020337
Hg19::chr11:65267987..65268091,-p1@AF130094
Hg19::chr11:65268094..65268146,-p2@AF130094
Hg19::chr11:65268153..65268171,-p4@AF130094
Hg19::chr11:65268181..65268194,-p7@AF130094
Hg19::chr11:65268214..65268240,-p5@AF130094
Hg19::chr11:65268320..65268331,-p6@AF130094
Hg19::chr11:65268339..65268367,-p3@AF130094
Hg19::chr1:171501802..171501928,-p@chr1:171501802..171501928
-


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 proliferation1.24e-12239
cancer1.70e-12235
cell type cancer4.01e-10143


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


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

TF#promotersEnrichmentp-valueq-value
BCLAF1#97741118.32147105471851.4497178686745e-132.22985396887329e-11
CHD2#110653.978470320814180.005583686566840480.0252535354821693
CTCF#1066483.298619306507710.0007662457105104630.0060165352800543
EGR1#195872.685942589513150.007097606783478520.0295962211474772
ETS1#2113107.483662247847952.8004675253017e-081.91788870737694e-06
GATA1#262377.301704385123311.36389762452687e-050.00033034346940622
GATA3#2625510.475583214316.69372606020604e-050.00107041196754227
HEY1#23462123.729333270559125.29816955260946e-072.4713511831397e-05
POLR2A#5430121.982264470668990.0007703649959180760.0060411585680048
POU2F2#5452107.00471081364815.31299322912892e-083.37520498696469e-06
REST#597864.45385940744370.001112236766968470.00772089702262682
SIN3A#2594272.9124763913620.004434177171369990.0209899392467348
SIX5#14791245.257450878602770.005466268737389780.0247578663716662
SP1#666793.945033261789855.6824033461029e-050.000949847188001986
TAF7#68791210.55360252762212.38691125982095e-123.23328955985007e-10
WRNIP1#56897542.23844782668317.53782827111157e-084.53742505364047e-06
ZBTB33#1000949.742992316917280.0005650138104002380.0048198543938896



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.