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Coexpression cluster:C970: Difference between revisions

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|gostat_on_coexpression_clusters=GO:0030218!erythrocyte differentiation!0.0362651595431532!6886$GO:0045165!cell fate commitment!0.0362651595431532!6886$GO:0030099!myeloid cell differentiation!0.0362651595431532!6886$GO:0030097!hemopoiesis!0.0428588249146356!6886$GO:0048534!hemopoietic or lymphoid organ development!0.0428588249146356!6886$GO:0002520!immune system development!0.0428588249146356!6886
|gostat_on_coexpression_clusters=GO:0030218!erythrocyte differentiation!0.0362651595431532!6886$GO:0045165!cell fate commitment!0.0362651595431532!6886$GO:0030099!myeloid cell differentiation!0.0362651595431532!6886$GO:0030097!hemopoiesis!0.0428588249146356!6886$GO:0048534!hemopoietic or lymphoid organ development!0.0428588249146356!6886$GO:0002520!immune system development!0.0428588249146356!6886
|id=C970
|id=C970
|ontology_enrichment_celltype=CL:0002139!5.62e-25!24;CL:0000115!1.54e-22!35;CL:0000071!3.08e-19!18;CL:0002546!3.08e-19!18;CL:0002078!5.33e-17!44;CL:0000213!9.88e-11!57;CL:0000215!9.88e-11!57;CL:1000413!2.53e-10!9;CL:0002274!1.28e-07!5;CL:0000457!1.28e-07!5;CL:0002191!1.28e-07!5;CL:0000097!1.28e-07!5;CL:0000831!1.28e-07!5;CL:0002028!1.28e-07!5;CL:0002543!2.00e-07!6;CL:0002544!2.73e-07!6;CL:0005020!2.76e-07!6;CL:0002138!2.76e-07!6;CL:0005022!2.76e-07!6
|ontology_enrichment_celltype=CL:0002274!5.31e-51!5;CL:0000457!5.31e-51!5;CL:0002191!5.31e-51!5;CL:0000097!5.31e-51!5;CL:0000831!5.31e-51!5;CL:0002028!5.31e-51!5;CL:0000163!2.28e-28!9;CL:0000763!5.06e-24!108;CL:0000049!5.06e-24!108;CL:0002032!2.39e-15!161;CL:0000837!2.39e-15!161;CL:0000037!1.32e-14!168;CL:0000566!1.32e-14!168;CL:0000988!9.71e-14!177;CL:0000151!5.25e-07!36
|ontology_enrichment_disease=DOID:8692!1.21e-08!31;DOID:1036!5.01e-08!8
|ontology_enrichment_disease=DOID:1036!7.96e-59!8;DOID:8692!4.93e-44!31;DOID:1240!1.16e-34!39;DOID:2531!4.17e-26!51;DOID:0060083!4.17e-26!51;DOID:8552!1.60e-11!1;DOID:9119!2.18e-11!1;DOID:0050686!1.66e-08!137
|ontology_enrichment_uberon=UBERON:0007023!4.74e-21!115;UBERON:0001986!3.08e-19!18;UBERON:0004638!3.08e-19!18;UBERON:0004852!3.08e-19!18;UBERON:0000487!2.00e-16!22;UBERON:0006914!1.32e-13!25;UBERON:0004535!6.89e-11!110;UBERON:0003915!2.53e-10!9;UBERON:0004700!2.53e-10!9;UBERON:0001917!2.53e-10!9;UBERON:0001009!3.25e-10!113;UBERON:0000178!1.14e-09!15;UBERON:0000179!1.14e-09!15;UBERON:0000463!1.14e-09!15;UBERON:0000055!5.00e-07!69
|ontology_enrichment_uberon=
|tf_chipseq_enrich=ELK4#2005;3:6.08838062192551:0.0103437704184363:0.0384158827470954!GATA2#2624;4:6.372465866777:0.00204874075705145:0.0118957266873685!MAFK#7975;3:10.1627749266862:0.00244557310713952:0.0137696484843681!SUZ12#23512;2:12.5289452277657:0.0102887917029838:0.0382239298757799!TAL1#6886;5:18.6678854234001:2.16085962597693e-06:7.81704255204036e-05!ZBTB7A#51341;5:4.59494331742243:0.00181943519354047:0.0109012674073876
|tf_chipseq_enrich=ELK4#2005;3:6.08838062192551:0.0103437704184363:0.0384158827470954!GATA2#2624;4:6.372465866777:0.00204874075705145:0.0118957266873685!MAFK#7975;3:10.1627749266862:0.00244557310713952:0.0137696484843681!SUZ12#23512;2:12.5289452277657:0.0102887917029838:0.0382239298757799!TAL1#6886;5:18.6678854234001:2.16085962597693e-06:7.81704255204036e-05!ZBTB7A#51341;5:4.59494331742243:0.00181943519354047:0.0109012674073876
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}}
}}

Revision as of 16:56, 19 October 2012


Full id: C970_acute_Mast_Reticulocytes_chronic_blood_leukemia_CD34



Phase1 CAGE Peaks

Hg19::chr10:119001440..119001449,-p4@ENST00000425264
Hg19::chr15:50550090..50550094,-p@chr15:50550090..50550094
-
Hg19::chr16:81528979..81528991,+p19@CMIP
Hg19::chr1:47696918..47696935,-p6@TAL1
Hg19::chr3:128135240..128135252,+p@chr3:128135240..128135252
+
Hg19::chr3:128135271..128135297,+p@chr3:128135271..128135297
+
Hg19::chr3:128205927..128205936,-p3@AB463675
Hg19::chr5:179193683..179193691,+p@chr5:179193683..179193691
+


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:0030218erythrocyte differentiation0.0362651595431532
GO:0045165cell fate commitment0.0362651595431532
GO:0030099myeloid cell differentiation0.0362651595431532
GO:0030097hemopoiesis0.0428588249146356
GO:0048534hemopoietic or lymphoid organ development0.0428588249146356
GO:0002520immune system development0.0428588249146356



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><br>disease_data<br>


Disease
Ontology termp-valuen
chronic leukemia7.96e-598
myeloid leukemia4.93e-4431
leukemia1.16e-3439
hematologic cancer4.17e-2651
immune system cancer4.17e-2651
chronic myeloid leukemia1.60e-111
acute myeloid leukemia2.18e-111
organ system cancer1.66e-08137


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
ELK4#200536.088380621925510.01034377041843630.0384158827470954
GATA2#262446.3724658667770.002048740757051450.0118957266873685
MAFK#7975310.16277492668620.002445573107139520.0137696484843681
SUZ12#23512212.52894522776570.01028879170298380.0382239298757799
TAL1#6886518.66788542340012.16085962597693e-067.81704255204036e-05
ZBTB7A#5134154.594943317422430.001819435193540470.0109012674073876



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.