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Coexpression cluster:C782

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Full id: C782_B_Burkitt_lymphoma_splenic_acute_CD19_xeroderma



Phase1 CAGE Peaks

Hg19::chr10:49880649..49880677,+p@chr10:49880649..49880677
+
Hg19::chr12:54446974..54447007,+p@chr12:54446974..54447007
+
Hg19::chr19:39108743..39108750,-p5@MAP4K1
Hg19::chr2:65159543..65159557,-p2@LOC400958
Hg19::chr2:65159562..65159594,-p1@LOC400958
Hg19::chr2:65159616..65159630,-p4@LOC400958
Hg19::chr2:65159651..65159662,-p5@LOC400958
Hg19::chr2:65159748..65159759,-p3@LOC400958
Hg19::chr5:85961934..85961944,+p@chr5:85961934..85961944
+
Hg19::chr6:6587579..6587601,-p3@LY86-AS1


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:0008349MAP kinase kinase kinase kinase activity0.00120687625103026
GO:0045610regulation of hemocyte differentiation0.00120687625103026
GO:0000185activation of MAPKKK activity0.00402292083676753
GO:0042386hemocyte differentiation0.00402292083676753
GO:0018209peptidyl-serine modification0.00402292083676753
GO:0018105peptidyl-serine phosphorylation0.00402292083676753
GO:0007257activation of JNK activity0.00670486806127922
GO:0043507positive regulation of JNK activity0.00670486806127922
GO:0043506regulation of JNK activity0.00670486806127922
GO:0000187activation of MAPK activity0.0120687625103026
GO:0007254JNK cascade0.0120687625103026
GO:0043406positive regulation of MAP kinase activity0.0120687625103026
GO:0031098stress-activated protein kinase signaling pathway0.0120687625103026
GO:0032147activation of protein kinase activity0.0120687625103026
GO:0004702receptor signaling protein serine/threonine kinase activity0.012390596177244
GO:0043405regulation of MAP kinase activity0.0140299364182268
GO:0018193peptidyl-amino acid modification0.0164574034231399
GO:0045860positive regulation of protein kinase activity0.0164574034231399
GO:0045595regulation of cell differentiation0.0164574034231399
GO:0033674positive regulation of kinase activity0.0164574034231399
GO:0051347positive regulation of transferase activity0.0164574034231399
GO:0000165MAPKKK cascade0.0164574034231399
GO:0030097hemopoiesis0.0168962675144236
GO:0048534hemopoietic or lymphoid organ development0.0168962675144236
GO:0005057receptor signaling protein activity0.0168962675144236
GO:0002520immune system development0.0168962675144236
GO:0050793regulation of developmental process0.0198732289336316
GO:0045859regulation of protein kinase activity0.0198732289336316
GO:0043549regulation of kinase activity0.0198732289336316
GO:0051338regulation of transferase activity0.0198732289336316
GO:0043085positive regulation of catalytic activity0.0199329238879836
GO:0007243protein kinase cascade0.0283615918992111
GO:0005083small GTPase regulator activity0.0345971191962008
GO:0050790regulation of catalytic activity0.0429505959925475
GO:0065009regulation of a molecular function0.0456655878768206
GO:0004674protein serine/threonine kinase activity0.0456655878768206
GO:0030695GTPase regulator activity0.0456655878768206



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><br>

Uber Anatomy
Ontology termp-valuen
hematopoietic system1.86e-07102
blood island1.86e-07102
hemolymphoid system3.46e-07112


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)

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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.

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