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|ontology_enrichment_disease=DOID:2531!8.23e-16!51;DOID:0060083!8.23e-16!51;DOID:1240!4.41e-13!39;DOID:8692!5.28e-11!31
|ontology_enrichment_disease=DOID:2531!8.23e-16!51;DOID:0060083!8.23e-16!51;DOID:1240!4.41e-13!39;DOID:8692!5.28e-11!31
|ontology_enrichment_uberon=UBERON:0002390!4.57e-34!102;UBERON:0003061!4.57e-34!102;UBERON:0002193!7.06e-32!112;UBERON:0002371!5.19e-25!80;UBERON:0007023!1.41e-23!115;UBERON:0001474!6.48e-23!86;UBERON:0002405!7.34e-20!115;UBERON:0004765!2.71e-15!101;UBERON:0001434!2.71e-15!101;UBERON:0002384!4.26e-08!375;UBERON:0001049!4.93e-08!57;UBERON:0005068!4.93e-08!57;UBERON:0006241!4.93e-08!57;UBERON:0007135!4.93e-08!57;UBERON:0003080!1.73e-07!42;UBERON:0002780!1.77e-07!41;UBERON:0001890!1.77e-07!41;UBERON:0006240!1.77e-07!41;UBERON:0000178!2.28e-07!15;UBERON:0000179!2.28e-07!15;UBERON:0000463!2.28e-07!15
|ontology_enrichment_uberon=UBERON:0002390!4.57e-34!102;UBERON:0003061!4.57e-34!102;UBERON:0002193!7.06e-32!112;UBERON:0002371!5.19e-25!80;UBERON:0007023!1.41e-23!115;UBERON:0001474!6.48e-23!86;UBERON:0002405!7.34e-20!115;UBERON:0004765!2.71e-15!101;UBERON:0001434!2.71e-15!101;UBERON:0002384!4.26e-08!375;UBERON:0001049!4.93e-08!57;UBERON:0005068!4.93e-08!57;UBERON:0006241!4.93e-08!57;UBERON:0007135!4.93e-08!57;UBERON:0003080!1.73e-07!42;UBERON:0002780!1.77e-07!41;UBERON:0001890!1.77e-07!41;UBERON:0006240!1.77e-07!41;UBERON:0000178!2.28e-07!15;UBERON:0000179!2.28e-07!15;UBERON:0000463!2.28e-07!15
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}}
}}

Revision as of 18:05, 8 August 2012


Full id: C2203_non_Neutrophils_Eosinophils_lymphoma_CD19_Whole_Burkitt



Phase1 CAGE Peaks

Hg19::chr12:25205628..25205657,+p2@LRMP
Hg19::chr12:25205666..25205690,+p4@LRMP
Hg19::chr13:28712383..28712394,+p9@PAN3
Hg19::chr9:130540962..130540988,-p4@SH2D3C


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:0006906vesicle fusion0.0195980326925824
GO:0007516hemocyte development0.0195980326925824
GO:0042386hemocyte differentiation0.0195980326925824
GO:0006903vesicle targeting0.0195980326925824
GO:0051650establishment of vesicle localization0.0195980326925824
GO:0051648vesicle localization0.0195980326925824
GO:0000184mRNA catabolic process, nonsense-mediated decay0.0281630495993967
GO:0051656establishment of organelle localization0.0281630495993967
GO:0006402mRNA catabolic process0.0315588082218239
GO:0051640organelle localization0.0323167659584715
GO:0006944membrane fusion0.032936074582253
GO:0006401RNA catabolic process0.0368945357790832
GO:0005070SH3/SH2 adaptor activity0.0368945357790832
GO:0060090molecular adaptor activity0.0415771974545133
GO:0007254JNK cascade0.0415771974545133
GO:0031098stress-activated protein kinase signaling pathway0.0415771974545133



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 cell1.08e-74172
angioblastic mesenchymal cell1.08e-74172
hematopoietic oligopotent progenitor cell3.58e-70165
hematopoietic multipotent progenitor cell3.58e-70165
hematopoietic cell3.37e-68182
leukocyte5.28e-61140
hematopoietic lineage restricted progenitor cell2.24e-50124
nongranular leukocyte8.53e-49119
myeloid cell7.71e-46112
common myeloid progenitor7.71e-46112
myeloid leukocyte3.37e-3376
granulocyte monocyte progenitor cell3.30e-2971
myeloid lineage restricted progenitor cell2.65e-2870
macrophage dendritic cell progenitor2.21e-2665
monopoietic cell1.50e-2563
monocyte1.50e-2563
monoblast1.50e-2563
promonocyte1.50e-2563
CD14-positive, CD16-negative classical monocyte1.14e-2442
classical monocyte3.04e-2245
lymphocyte2.69e-2053
common lymphoid progenitor2.69e-2053
lymphoid lineage restricted progenitor cell1.11e-1952
lymphocyte of B lineage3.54e-1624
pro-B cell3.54e-1624
B cell1.46e-1014
mesenchymal cell5.13e-10358
connective tissue cell6.56e-09365
intermediate monocyte3.16e-079
CD14-positive, CD16-positive monocyte3.16e-079
granulocyte7.88e-078
Uber Anatomy
Ontology termp-valuen
hematopoietic system4.57e-34102
blood island4.57e-34102
hemolymphoid system7.06e-32112
bone marrow5.19e-2580
adult organism1.41e-23115
bone element6.48e-2386
immune system7.34e-20115
skeletal element2.71e-15101
skeletal system2.71e-15101
connective tissue4.26e-08375
neural tube4.93e-0857
neural rod4.93e-0857
future spinal cord4.93e-0857
neural keel4.93e-0857
anterior neural tube1.73e-0742
regional part of forebrain1.77e-0741
forebrain1.77e-0741
future forebrain1.77e-0741
blood2.28e-0715
haemolymphatic fluid2.28e-0715
organism substance2.28e-0715
Disease
Ontology termp-valuen
hematologic cancer8.23e-1651
immune system cancer8.23e-1651
leukemia4.41e-1339
myeloid leukemia5.28e-1131


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.