Coexpression cluster:C1047

Full id: C1047_Whole_blood_CD14_Neutrophils_Eosinophils_Reticulocytes_Mast

Phase1 CAGE Peaks

Hg19::chr17:21188012..21188031,+	p1@MAP2K3
Hg19::chr17:21188043..21188069,+	p2@MAP2K3
Hg19::chr17:21188075..21188079,+	p4@MAP2K3
Hg19::chr4:2801321..2801334,+	p@chr4:2801321..2801334 +
Hg19::chr6:108882109..108882173,+	p2@FOXO3
Hg19::chr6:108882364..108882391,+	p4@FOXO3
Hg19::chr7:35469..35507,-	p1@ENST00000469418
Hg19::chrX:67718803..67718831,-	p@chrX:67718803..67718831 -

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

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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

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GO ID	GO name	FDR corrected p-value
GO:0045893	positive regulation of transcription, DNA-dependent	0.002668471739994
GO:0045941	positive regulation of transcription	0.002668471739994
GO:0045935	positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	0.002668471739994
GO:0031325	positive regulation of cellular metabolic process	0.00293335680241988
GO:0009893	positive regulation of metabolic process	0.00293335680241988
GO:0045648	positive regulation of erythrocyte differentiation	0.00544534052623127
GO:0045646	regulation of erythrocyte differentiation	0.0079495422567252
GO:0004708	MAP kinase kinase activity	0.0079495422567252
GO:0004712	protein serine/threonine/tyrosine kinase activity	0.0079495422567252
GO:0045639	positive regulation of myeloid cell differentiation	0.0079495422567252
GO:0048522	positive regulation of cellular process	0.0079495422567252
GO:0048518	positive regulation of biological process	0.00903133988169789
GO:0030218	erythrocyte differentiation	0.0158625041483939
GO:0045637	regulation of myeloid cell differentiation	0.0158625041483939
GO:0045597	positive regulation of cell differentiation	0.0204618228353415
GO:0051094	positive regulation of developmental process	0.027745483969377
GO:0030099	myeloid cell differentiation	0.0295656607028872
GO:0019901	protein kinase binding	0.0300962908074367
GO:0019900	kinase binding	0.0340005992307244
GO:0045944	positive regulation of transcription from RNA polymerase II promoter	0.0393274420359954
GO:0045860	positive regulation of protein kinase activity	0.0393274420359954
GO:0045595	regulation of cell differentiation	0.0393274420359954
GO:0033674	positive regulation of kinase activity	0.0393274420359954
GO:0051347	positive regulation of transferase activity	0.0393274420359954
GO:0030097	hemopoiesis	0.0393274420359954
GO:0006355	regulation of transcription, DNA-dependent	0.0393274420359954
GO:0048534	hemopoietic or lymphoid organ development	0.0393274420359954
GO:0006351	transcription, DNA-dependent	0.0393274420359954
GO:0032774	RNA biosynthetic process	0.0393274420359954
GO:0002520	immune system development	0.0395387988639219
GO:0045449	regulation of transcription	0.0396816272126048
GO:0019219	regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	0.0396816272126048
GO:0006350	transcription	0.0396816272126048
GO:0010468	regulation of gene expression	0.0396816272126048
GO:0031323	regulation of cellular metabolic process	0.0396816272126048
GO:0050793	regulation of developmental process	0.0396816272126048
GO:0045859	regulation of protein kinase activity	0.0396816272126048
GO:0043549	regulation of kinase activity	0.0396816272126048
GO:0051338	regulation of transferase activity	0.0396816272126048
GO:0019222	regulation of metabolic process	0.0396816272126048
GO:0016070	RNA metabolic process	0.0396816272126048
GO:0043085	positive regulation of catalytic activity	0.0396816272126048
GO:0019899	enzyme binding	0.0446688293427135
GO:0004713	protein-tyrosine kinase activity	0.0446688293427135
GO:0016563	transcription activator activity	0.0446688293427135

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>

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Cell Type

Ontology term	p-value	n
CD14-positive, CD16-negative classical monocyte	2.46e-26	42
myeloid leukocyte	4.52e-26	76
classical monocyte	5.24e-24	45
granulocyte monocyte progenitor cell	1.31e-22	71
myeloid lineage restricted progenitor cell	2.16e-22	70
macrophage dendritic cell progenitor	1.90e-20	65
monopoietic cell	2.02e-19	63
monocyte	2.02e-19	63
monoblast	2.02e-19	63
promonocyte	2.02e-19	63
myeloid cell	1.10e-09	112
common myeloid progenitor	1.10e-09	112
multi fate stem cell	3.14e-08	430
somatic stem cell	6.27e-08	436
stem cell	7.05e-08	444

Uber Anatomy

Ontology term	p-value	n
hematopoietic system	3.20e-23	102
blood island	3.20e-23	102
musculoskeletal system	5.13e-23	167
lateral plate mesoderm	2.95e-22	216
hemolymphoid system	6.63e-22	112
bone marrow	1.23e-21	80
bone element	3.78e-19	86
mesoderm	1.51e-18	448
mesoderm-derived structure	1.51e-18	448
presumptive mesoderm	1.51e-18	448
skeletal element	7.96e-18	101
skeletal system	7.96e-18	101
immune system	2.39e-16	115
multi-cellular organism	1.60e-15	659
anatomical system	1.64e-14	625
anatomical group	2.04e-14	626
embryonic structure	1.15e-09	605
developing anatomical structure	1.15e-09	605
embryo	1.21e-09	612
germ layer	1.48e-09	604
embryonic tissue	1.48e-09	604
presumptive structure	1.48e-09	604
epiblast (generic)	1.48e-09	604
dermomyotome	6.13e-07	70
organ	6.20e-07	511
multilaminar epithelium	9.76e-07	82

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

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Novel motifs

JASPAR motifs

Motifs	-log10(p-value)
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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

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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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This analysis result is provided for C0 - C305 clusters.