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Coexpression cluster:C650

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Full id: C650_CD19_B_lymphoma_xeroderma_splenic_Burkitt_plasma



Phase1 CAGE Peaks

Hg19::chr10:97055058..97055067,-p@chr10:97055058..97055067
-
Hg19::chr11:60236497..60236513,+p@chr11:60236497..60236513
+
Hg19::chr14:106329470..106329481,-p1@IGHJ6
Hg19::chr17:27065235..27065253,+p@chr17:27065235..27065253
+
Hg19::chr21:45627309..45627320,-p1@ENST00000423967
Hg19::chr3:122295630..122295664,+p@chr3:122295630..122295664
+
Hg19::chr4:38807359..38807364,-p6@TLR1
Hg19::chr5:130545735..130545751,+p@chr5:130545735..130545751
+
Hg19::chr5:14213197..14213223,+p@chr5:14213197..14213223
+
Hg19::chr5:88120151..88120177,-p6@MEF2C
Hg19::chr6:167507611..167507627,-p@chr6:167507611..167507627
-
Hg19::chr8:11351178..11351208,+p10@BLK
Hg19::chr9:37371328..37371339,+p@chr9:37371328..37371339
+


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:0001958endochondral ossification0.0123160677063456
GO:0031325positive regulation of cellular metabolic process0.0123160677063456
GO:0009893positive regulation of metabolic process0.0123160677063456
GO:0045410positive regulation of interleukin-6 biosynthetic process0.0123160677063456
GO:0042535positive regulation of tumor necrosis factor biosynthetic process0.0123160677063456
GO:0001974blood vessel remodeling0.0123160677063456
GO:0042534regulation of tumor necrosis factor biosynthetic process0.0123160677063456
GO:0042533tumor necrosis factor biosynthetic process0.0123160677063456
GO:0002062chondrocyte differentiation0.0123160677063456
GO:0042116macrophage activation0.0123160677063456
GO:0045408regulation of interleukin-6 biosynthetic process0.0124401061933039
GO:0042226interleukin-6 biosynthetic process0.0136829082768297
GO:0032640tumor necrosis factor production0.0136829082768297
GO:0032635interleukin-6 production0.0146593956705327
GO:0001649osteoblast differentiation0.0217227219629222
GO:0048522positive regulation of cellular process0.0217227219629222
GO:0002274myeloid leukocyte activation0.0217227219629222
GO:0048518positive regulation of biological process0.0246979622636769
GO:0051216cartilage development0.0259079593262972
GO:0004715non-membrane spanning protein tyrosine kinase activity0.0266922339851133
GO:0042108positive regulation of cytokine biosynthetic process0.0266922339851133
GO:0045727positive regulation of translation0.0329245666875084
GO:0042035regulation of cytokine biosynthetic process0.0341599596012095
GO:0031328positive regulation of cellular biosynthetic process0.0341599596012095
GO:0042089cytokine biosynthetic process0.0354147101214926
GO:0042107cytokine metabolic process0.0354147101214926
GO:0009891positive regulation of biosynthetic process0.0354147101214926
GO:0051247positive regulation of protein metabolic process0.0400479728323247
GO:0001503ossification0.0400479728323247
GO:0031214biomineral formation0.0400479728323247
GO:0007507heart development0.0409485010238248
GO:0046849bone remodeling0.0409485010238248
GO:0048771tissue remodeling0.043418712488239
GO:0001816cytokine production0.0444347976444298
GO:0045087innate immune response0.0444347976444298



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
leukocyte3.16e-50140
hematopoietic stem cell7.14e-47172
angioblastic mesenchymal cell7.14e-47172
hematopoietic cell1.06e-44182
nongranular leukocyte1.07e-41119
hematopoietic oligopotent progenitor cell1.17e-41165
hematopoietic multipotent progenitor cell1.17e-41165
hematopoietic lineage restricted progenitor cell4.67e-38124
lymphocyte1.35e-2853
common lymphoid progenitor1.35e-2853
lymphoid lineage restricted progenitor cell9.56e-2852
lymphocyte of B lineage4.40e-2324
pro-B cell4.40e-2324
CD14-positive, CD16-negative classical monocyte5.50e-1742
myeloid leukocyte8.74e-1676
classical monocyte1.17e-1545
myeloid cell1.22e-15112
common myeloid progenitor1.22e-15112
B cell4.23e-1414
macrophage dendritic cell progenitor2.04e-1365
granulocyte monocyte progenitor cell5.65e-1371
monopoietic cell1.28e-1263
monocyte1.28e-1263
monoblast1.28e-1263
promonocyte1.28e-1263
myeloid lineage restricted progenitor cell8.32e-1270
T cell8.80e-0725
pro-T cell8.80e-0725
Uber Anatomy
Ontology termp-valuen
hemolymphoid system1.21e-24112
hematopoietic system1.43e-22102
blood island1.43e-22102
adult organism6.73e-13115
bone marrow2.18e-1180
immune system3.64e-11115
blood7.59e-1115
haemolymphatic fluid7.59e-1115
organism substance7.59e-1115
bone element1.67e-0986
Disease
Ontology termp-valuen
hematologic cancer4.45e-0951
immune system cancer4.45e-0951
lymphoma2.65e-0810


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


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.