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|gostat_on_coexpression_clusters=GO:0043508!negative regulation of JNK activity!0.00359119274696809!27250$GO:0007569!cell aging!0.00933710114211703!27250$GO:0043407!negative regulation of MAP kinase activity!0.00933710114211703!27250$GO:0043506!regulation of JNK activity!0.00933710114211703!27250$GO:0007568!aging!0.00933710114211703!27250$GO:0006469!negative regulation of protein kinase activity!0.0132425232544448!27250$GO:0033673!negative regulation of kinase activity!0.0132425232544448!27250$GO:0051348!negative regulation of transferase activity!0.0132425232544448!27250$GO:0043086!negative regulation of catalytic activity!0.0166990462734016!27250$GO:0043405!regulation of MAP kinase activity!0.0166990462734016!27250$GO:0045786!negative regulation of progression through cell cycle!0.0316794503036114!27250$GO:0045859!regulation of protein kinase activity!0.0316794503036114!27250$GO:0043549!regulation of kinase activity!0.0316794503036114!27250$GO:0051338!regulation of transferase activity!0.0316794503036114!27250$GO:0016481!negative regulation of transcription!0.0348345696455905!27250$GO:0045934!negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process!0.0357997026963381!27250$GO:0000074!regulation of progression through cell cycle!0.0358121721155984!27250$GO:0051726!regulation of cell cycle!0.0358121721155984!27250$GO:0031324!negative regulation of cellular metabolic process!0.0360064325419696!27250$GO:0009892!negative regulation of metabolic process!0.0391440009419522!27250$GO:0005829!cytosol!0.0485666066732828!27250$GO:0050790!regulation of catalytic activity!0.0487933797142403!27250$GO:0022402!cell cycle process!0.0487933797142403!27250
|gostat_on_coexpression_clusters=GO:0043508!negative regulation of JNK activity!0.00359119274696809!27250$GO:0007569!cell aging!0.00933710114211703!27250$GO:0043407!negative regulation of MAP kinase activity!0.00933710114211703!27250$GO:0043506!regulation of JNK activity!0.00933710114211703!27250$GO:0007568!aging!0.00933710114211703!27250$GO:0006469!negative regulation of protein kinase activity!0.0132425232544448!27250$GO:0033673!negative regulation of kinase activity!0.0132425232544448!27250$GO:0051348!negative regulation of transferase activity!0.0132425232544448!27250$GO:0043086!negative regulation of catalytic activity!0.0166990462734016!27250$GO:0043405!regulation of MAP kinase activity!0.0166990462734016!27250$GO:0045786!negative regulation of progression through cell cycle!0.0316794503036114!27250$GO:0045859!regulation of protein kinase activity!0.0316794503036114!27250$GO:0043549!regulation of kinase activity!0.0316794503036114!27250$GO:0051338!regulation of transferase activity!0.0316794503036114!27250$GO:0016481!negative regulation of transcription!0.0348345696455905!27250$GO:0045934!negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process!0.0357997026963381!27250$GO:0000074!regulation of progression through cell cycle!0.0358121721155984!27250$GO:0051726!regulation of cell cycle!0.0358121721155984!27250$GO:0031324!negative regulation of cellular metabolic process!0.0360064325419696!27250$GO:0009892!negative regulation of metabolic process!0.0391440009419522!27250$GO:0005829!cytosol!0.0485666066732828!27250$GO:0050790!regulation of catalytic activity!0.0487933797142403!27250$GO:0022402!cell cycle process!0.0487933797142403!27250
|id=C1295
|id=C1295
|ontology_enrichment_celltype=CL:0000738!8.78e-41!140;CL:0000988!1.38e-33!182;CL:0000037!7.69e-33!172;CL:0000566!7.69e-33!172;CL:0002031!1.03e-31!124;CL:0002087!1.26e-29!119;CL:0002032!2.41e-29!165;CL:0000837!2.41e-29!165;CL:0002057!2.05e-23!42;CL:0000860!8.98e-23!45;CL:0000766!1.49e-17!76;CL:0000542!2.98e-17!53;CL:0000051!2.98e-17!53;CL:0000838!5.99e-17!52;CL:0000557!1.21e-14!71;CL:0000839!5.33e-14!70;CL:0000763!4.71e-13!112;CL:0000049!4.71e-13!112;CL:0002009!3.56e-12!65;CL:0002194!2.22e-11!63;CL:0000576!2.22e-11!63;CL:0000040!2.22e-11!63;CL:0000559!2.22e-11!63;CL:0000084!7.65e-11!25;CL:0000827!7.65e-11!25;CL:0000791!1.61e-10!18;CL:0000789!1.61e-10!18;CL:0002420!1.61e-10!18;CL:0002419!1.61e-10!18;CL:0000790!1.61e-10!18
|ontology_enrichment_disease=
|ontology_enrichment_uberon=UBERON:0002390!3.70e-18!102;UBERON:0003061!3.70e-18!102;UBERON:0002193!1.57e-16!112;UBERON:0002371!4.59e-14!80;UBERON:0001474!2.19e-12!86;UBERON:0002405!5.40e-11!115;UBERON:0004765!3.44e-07!101;UBERON:0001434!3.44e-07!101
}}
}}

Revision as of 14:09, 21 May 2012


Full id: C1295_Eosinophils_CD4_CD14_Neutrophils_CD8_Basophils_Mast



Phase1 CAGE Peaks

Hg19::chr10:112632685..112632730,+p6@PDCD4
Hg19::chr10:112632799..112632821,+p15@PDCD4
Hg19::chr20:18488007..18488029,-p@chr20:18488007..18488029
-
Hg19::chr22:39096925..39096954,-p1@JOSD1
Hg19::chr22:39097117..39097135,+p@chr22:39097117..39097135
+
Hg19::chr8:146127003..146127014,+p@chr8:146127003..146127014
+


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:0043508negative regulation of JNK activity0.00359119274696809
GO:0007569cell aging0.00933710114211703
GO:0043407negative regulation of MAP kinase activity0.00933710114211703
GO:0043506regulation of JNK activity0.00933710114211703
GO:0007568aging0.00933710114211703
GO:0006469negative regulation of protein kinase activity0.0132425232544448
GO:0033673negative regulation of kinase activity0.0132425232544448
GO:0051348negative regulation of transferase activity0.0132425232544448
GO:0043086negative regulation of catalytic activity0.0166990462734016
GO:0043405regulation of MAP kinase activity0.0166990462734016
GO:0045786negative regulation of progression through cell cycle0.0316794503036114
GO:0045859regulation of protein kinase activity0.0316794503036114
GO:0043549regulation of kinase activity0.0316794503036114
GO:0051338regulation of transferase activity0.0316794503036114
GO:0016481negative regulation of transcription0.0348345696455905
GO:0045934negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process0.0357997026963381
GO:0000074regulation of progression through cell cycle0.0358121721155984
GO:0051726regulation of cell cycle0.0358121721155984
GO:0031324negative regulation of cellular metabolic process0.0360064325419696
GO:0009892negative regulation of metabolic process0.0391440009419522
GO:0005829cytosol0.0485666066732828
GO:0050790regulation of catalytic activity0.0487933797142403
GO:0022402cell cycle process0.0487933797142403



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>


Cell Type
Ontology termp-valuen
leukocyte8.78e-41140
hematopoietic cell1.38e-33182
hematopoietic stem cell7.69e-33172
angioblastic mesenchymal cell7.69e-33172
hematopoietic lineage restricted progenitor cell1.03e-31124
nongranular leukocyte1.26e-29119
hematopoietic oligopotent progenitor cell2.41e-29165
hematopoietic multipotent progenitor cell2.41e-29165
CD14-positive, CD16-negative classical monocyte2.05e-2342
classical monocyte8.98e-2345
myeloid leukocyte1.49e-1776
lymphocyte2.98e-1753
common lymphoid progenitor2.98e-1753
lymphoid lineage restricted progenitor cell5.99e-1752
granulocyte monocyte progenitor cell1.21e-1471
myeloid lineage restricted progenitor cell5.33e-1470
myeloid cell4.71e-13112
common myeloid progenitor4.71e-13112
macrophage dendritic cell progenitor3.56e-1265
monopoietic cell2.22e-1163
monocyte2.22e-1163
monoblast2.22e-1163
promonocyte2.22e-1163
T cell7.65e-1125
pro-T cell7.65e-1125
mature alpha-beta T cell1.61e-1018
alpha-beta T cell1.61e-1018
immature T cell1.61e-1018
mature T cell1.61e-1018
immature alpha-beta T cell1.61e-1018
Uber Anatomy
Ontology termp-valuen
hematopoietic system3.70e-18102
blood island3.70e-18102
hemolymphoid system1.57e-16112
bone marrow4.59e-1480
bone element2.19e-1286
immune system5.40e-11115
skeletal element3.44e-07101
skeletal system3.44e-07101


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.