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|ontology_enrichment_disease=DOID:1240!1.07e-07!39;DOID:2531!1.74e-07!51;DOID:0060083!1.74e-07!51
|ontology_enrichment_disease=DOID:1240!1.07e-07!39;DOID:2531!1.74e-07!51;DOID:0060083!1.74e-07!51
|ontology_enrichment_uberon=UBERON:0007023!1.97e-20!115;UBERON:0002390!3.19e-16!102;UBERON:0003061!3.19e-16!102;UBERON:0002193!3.17e-13!112;UBERON:0000178!1.75e-09!15;UBERON:0000179!1.75e-09!15;UBERON:0000463!1.75e-09!15;UBERON:0002371!4.65e-08!80;UBERON:0001474!1.45e-07!86;UBERON:0002405!3.82e-07!115
|ontology_enrichment_uberon=UBERON:0007023!1.97e-20!115;UBERON:0002390!3.19e-16!102;UBERON:0003061!3.19e-16!102;UBERON:0002193!3.17e-13!112;UBERON:0000178!1.75e-09!15;UBERON:0000179!1.75e-09!15;UBERON:0000463!1.75e-09!15;UBERON:0002371!4.65e-08!80;UBERON:0001474!1.45e-07!86;UBERON:0002405!3.82e-07!115
|pathway_enrichment=0.000163562511943431;0.0258837675150479;3;265;Cytokine-cytokine receptor interaction (KEGG):04060!6.01405003919819e-05;0.0126896455827082;3;189;Chemokine signaling pathway (KEGG):04062!4.48189730095749e-05;0.0126896455827082;4;511;Signaling in Immune system (Reactome):REACT_6900!2.34678751347395e-05;0.0126896455827082;4;433;IL-2 up reg. targets (Netpath):NetPath_14
}}
}}

Revision as of 15:00, 13 July 2012


Full id: C300_CD4_CD8_NK_Natural_blood_mycosis_Basophils



Phase1 CAGE Peaks

Hg19::chr14:22362614..22362619,+p1@TRAV8-4
Hg19::chr14:22446777..22446791,+p2@uc010tml.1
p2@uc010tmm.1
Hg19::chr14:91708304..91708315,+p@chr14:91708304..91708315
+
Hg19::chr14:91708318..91708330,+p@chr14:91708318..91708330
+
Hg19::chr14:94442986..94442992,-p15@ASB2
Hg19::chr18:67624010..67624041,-p5@CD226
Hg19::chr19:17295496..17295508,+p@chr19:17295496..17295508
+
Hg19::chr1:150082476..150082490,+p@chr1:150082476..150082490
+
Hg19::chr22:39147814..39147833,-p11@SUN2
Hg19::chr2:182249921..182249925,+p@chr2:182249921..182249925
+
Hg19::chr2:191931233..191931243,-p@chr2:191931233..191931243
-
Hg19::chr2:197041193..197041212,-p5@STK17B
Hg19::chr2:39347524..39347552,-p4@SOS1
Hg19::chr2:39347770..39347791,-p5@SOS1
Hg19::chr2:39348137..39348212,-p1@SOS1
Hg19::chr2:39348418..39348431,-p17@SOS1
Hg19::chr2:39348469..39348498,-p9@SOS1
Hg19::chr2:39351689..39351715,+p@chr2:39351689..39351715
+
Hg19::chr2:7865859..7865862,+p3@ENST00000417930
Hg19::chr2:7865873..7865921,+p1@ENST00000417930
Hg19::chr2:7865923..7865941,+p2@ENST00000417930
Hg19::chr3:45984947..45984966,+p1@CXCR6
Hg19::chr3:46395344..46395359,+p2@CCR2
Hg19::chr3:46395363..46395374,+p7@CCR2
Hg19::chr3:4867715..4867729,-p@chr3:4867715..4867729
-
Hg19::chr3:51715738..51715765,+p2@TEX264
Hg19::chr4:6692260..6692274,-p2@ENST00000499502
Hg19::chr4:6692355..6692360,-p3@ENST00000499502
Hg19::chr5:54398463..54398480,+p1@GZMA
Hg19::chr6:128201709..128201716,-p@chr6:128201709..128201716
-
Hg19::chr6:149555824..149555843,-p@chr6:149555824..149555843
-
Hg19::chrX:135721685..135721705,+p1@LOC100128420
Hg19::chrX:135721762..135721773,+p4@ENST00000429841
Hg19::chrX:135721794..135721808,+p3@ENST00000429841
Hg19::chrX:135721811..135721833,+p1@ENST00000429841
Hg19::chrX:135721840..135721857,+p2@ENST00000429841
Hg19::chrX:135721874..135721887,+p1@ENST00000427517
p1@uc004ezz.2
Hg19::chrX:135730297..135730350,+p1@CD40LG
Hg19::chrX:135730373..135730399,+p2@CD40LG
Hg19::chrX:135741632..135741643,+p@chrX:135741632..135741643
+
Hg19::chrX:135742035..135742051,+p@chrX:135742035..135742051
+
Hg19::chrX:135742088..135742115,+p@chrX:135742088..135742115
+


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


p.valueFDRnGenesnPathwayName
0.0001635625119434310.02588376751504793265Cytokine-cytokine receptor interaction (KEGG):04060
6.01405003919819e-050.01268964558270823189Chemokine signaling pathway (KEGG):04062
4.48189730095749e-050.01268964558270824511Signaling in Immune system (Reactome):REACT_6900
2.34678751347395e-050.01268964558270824433IL-2 up reg. targets (Netpath):NetPath_14



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:0019957C-C chemokine binding0.00203275243585207
GO:0016493C-C chemokine receptor activity0.00203275243585207
GO:0004950chemokine receptor activity0.00203275243585207
GO:0001637G-protein chemoattractant receptor activity0.00203275243585207
GO:0019956chemokine binding0.00203275243585207
GO:0007165signal transduction0.00203275243585207
GO:0007242intracellular signaling cascade0.00236279697749897
GO:0007154cell communication0.00257076988205919
GO:0044459plasma membrane part0.00378351305242138
GO:0005887integral to plasma membrane0.00438007771105616
GO:0031226intrinsic to plasma membrane0.00438007771105616
GO:0031727CCR2 chemokine receptor binding0.00438007771105616
GO:0048020CCR chemokine receptor binding0.00438007771105616
GO:0004277granzyme A activity0.00438007771105616
GO:0005174CD40 receptor binding0.00438007771105616
GO:0019955cytokine binding0.00462889244648079
GO:0001816cytokine production0.00567214870023238
GO:0032735positive regulation of interleukin-12 production0.0072992699464958
GO:0001653peptide receptor activity0.00824820650737661
GO:0008528peptide receptor activity, G-protein coupled0.00824820650737661
GO:0006922cleavage of lamin0.00856769927397956
GO:0006923cleavage of cytoskeletal proteins during apoptosis0.00856769927397956
GO:0032655regulation of interleukin-12 production0.00856769927397956
GO:0006915apoptosis0.0120987350741618
GO:0012501programmed cell death0.0120987350741618
GO:0042277peptide binding0.0124533973568257
GO:0008219cell death0.0125502845118458
GO:0016265death0.0125502845118458
GO:0005886plasma membrane0.0130053297491197
GO:0032615interleukin-12 production0.0131324991110303
GO:0005625soluble fraction0.013179067182002
GO:0005515protein binding0.0151343927086091
GO:0006954inflammatory response0.0185092915895833
GO:0007159leukocyte adhesion0.0185092915895833
GO:0016494C-X-C chemokine receptor activity0.0185092915895833
GO:0002208somatic diversification of immunoglobulins during immune response0.0185092915895833
GO:0002381immunoglobulin production during immune response0.0185092915895833
GO:0002204somatic recombination of immunoglobulin genes during immune response0.0185092915895833
GO:0045190isotype switching0.0185092915895833
GO:0006955immune response0.0190092271228569
GO:0019958C-X-C chemokine binding0.0192047199434155
GO:0016447somatic recombination of immunoglobulin gene segments0.0197993162207085
GO:0048468cell development0.0197993162207085
GO:0031280negative regulation of cyclase activity0.0197993162207085
GO:0016444somatic cell DNA recombination0.0197993162207085
GO:0007194negative regulation of adenylate cyclase activity0.0197993162207085
GO:0051350negative regulation of lyase activity0.0197993162207085
GO:0016445somatic diversification of immunoglobulins0.0197993162207085
GO:0002562somatic diversification of immune receptors via germline recombination within a single locus0.0197993162207085
GO:0007243protein kinase cascade0.0197993162207085
GO:0015026coreceptor activity0.0197993162207085
GO:0002200somatic diversification of immune receptors0.0197993162207085
GO:0019835cytolysis0.0197993162207085
GO:0001772immunological synapse0.0206447731653015
GO:0002376immune system process0.020706251242198
GO:0002377immunoglobulin production0.020706251242198
GO:0042100B cell proliferation0.020706251242198
GO:0009611response to wounding0.0224701169761612
GO:0006921cell structure disassembly during apoptosis0.0233301615954918
GO:0001819positive regulation of cytokine production0.0251202993534965
GO:0005100Rho GTPase activator activity0.0257797388481279
GO:0030168platelet activation0.026417657728311
GO:0002440production of molecular mediator of immune response0.0280715875138972
GO:0019079viral genome replication0.0296728701447912
GO:0042981regulation of apoptosis0.0356996152922203
GO:0043067regulation of programmed cell death0.0357711508412229
GO:0006952defense response0.0357711508412229
GO:0048869cellular developmental process0.0357711508412229
GO:0030154cell differentiation0.0357711508412229
GO:0005164tumor necrosis factor receptor binding0.0359283039721178
GO:0007259JAK-STAT cascade0.0359283039721178
GO:0001817regulation of cytokine production0.0361337348780551
GO:0045761regulation of adenylate cyclase activity0.0361337348780551
GO:0032813tumor necrosis factor receptor superfamily binding0.0361337348780551
GO:0031279regulation of cyclase activity0.0361337348780551
GO:0051339regulation of lyase activity0.0361337348780551
GO:0019221cytokine and chemokine mediated signaling pathway0.0363786717589302
GO:0009605response to external stimulus0.0363786717589302
GO:0022411cellular component disassembly0.0405217762126783
GO:0019058viral infectious cycle0.0408270885386266
GO:0016064immunoglobulin mediated immune response0.0411246731931978
GO:0019724B cell mediated immunity0.0412013747883468
GO:0032943mononuclear cell proliferation0.0412013747883468
GO:0046651lymphocyte proliferation0.0412013747883468
GO:0022415viral reproductive process0.0437690085605704
GO:0042113B cell activation0.0462740844094532



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
hematopoietic stem cell1.51e-43172
angioblastic mesenchymal cell1.51e-43172
hematopoietic oligopotent progenitor cell1.09e-40165
hematopoietic multipotent progenitor cell1.09e-40165
hematopoietic cell2.75e-39182
leukocyte1.06e-37140
hematopoietic lineage restricted progenitor cell3.96e-31124
nongranular leukocyte1.99e-30119
lymphoid lineage restricted progenitor cell8.93e-2252
lymphocyte4.27e-2153
common lymphoid progenitor4.27e-2153
myeloid cell2.41e-19112
common myeloid progenitor2.41e-19112
T cell6.57e-1525
pro-T cell6.57e-1525
myeloid leukocyte5.13e-1376
mature alpha-beta T cell1.21e-1218
alpha-beta T cell1.21e-1218
immature T cell1.21e-1218
mature T cell1.21e-1218
immature alpha-beta T cell1.21e-1218
granulocyte monocyte progenitor cell1.11e-1071
myeloid lineage restricted progenitor cell1.23e-1070
macrophage dendritic cell progenitor6.76e-1065
monopoietic cell1.80e-0963
monocyte1.80e-0963
monoblast1.80e-0963
promonocyte1.80e-0963
CD14-positive, CD16-negative classical monocyte2.93e-0942
classical monocyte4.28e-0945
CD8-positive, alpha-beta T cell1.72e-0811
lymphocyte of B lineage4.26e-0724
pro-B cell4.26e-0724
Uber Anatomy
Ontology termp-valuen
adult organism1.97e-20115
hematopoietic system3.19e-16102
blood island3.19e-16102
hemolymphoid system3.17e-13112
blood1.75e-0915
haemolymphatic fluid1.75e-0915
organism substance1.75e-0915
bone marrow4.65e-0880
bone element1.45e-0786
immune system3.82e-07115
Disease
Ontology termp-valuen
leukemia1.07e-0739
hematologic cancer1.74e-0751
immune system cancer1.74e-0751


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


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