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Coexpression cluster:C246

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Full id: C246_Neutrophils_Eosinophils_Whole_CD14_CD14CD16_Basophils_migratory



Phase1 CAGE Peaks

Hg19::chr10:11207438..11207455,+p1@CELF2
Hg19::chr10:12391685..12391734,+p2@CAMK1D
Hg19::chr11:61722670..61722712,+p2@BEST1
Hg19::chr11:65408273..65408341,+p3@SIPA1
Hg19::chr12:51717949..51717976,-p4@BIN2
Hg19::chr12:53835508..53835533,+p1@PRR13
p2@PCBP2
Hg19::chr13:46753825..46753846,-p@chr13:46753825..46753846
-
Hg19::chr13:46756271..46756348,-p1@LCP1
Hg19::chr13:50699661..50699695,-p1@DLEU2
Hg19::chr14:93118543..93118570,+p4@RIN3
Hg19::chr14:93155682..93155685,+p@chr14:93155682..93155685
+
Hg19::chr15:69958901..69958913,-p@chr15:69958901..69958913
-
Hg19::chr15:85259768..85259799,+p@chr15:85259768..85259799
+
Hg19::chr16:69796212..69796275,+p1@WWP2
Hg19::chr17:61699766..61699826,+p1@MAP3K3
Hg19::chr17:73840423..73840499,-p1@UNC13D
Hg19::chr18:74208364..74208381,-p@chr18:74208364..74208381
-
Hg19::chr18:74844727..74844747,-p2@MBP
Hg19::chr19:1067043..1067054,+p9@HMHA1
Hg19::chr19:14492247..14492264,+p1@CD97
Hg19::chr19:2085323..2085357,-p2@MOB3A
Hg19::chr19:38916839..38916871,-p1@RASGRP4
Hg19::chr1:161039597..161039625,-p2@ARHGAP30
Hg19::chr1:198608152..198608247,+p1@PTPRC
Hg19::chr1:26869597..26869637,+p3@RPS6KA1
Hg19::chr21:30671189..30671207,+p4@BACH1
Hg19::chr22:17565841..17565896,+p1@IL17RA
Hg19::chr22:17565903..17565929,+p2@IL17RA
Hg19::chr22:37678505..37678563,+p1@CYTH4
Hg19::chr22:51021397..51021434,-p2@CHKB-CPT1B
p2@CHKB
Hg19::chr2:175499294..175499339,-p4@WIPF1
Hg19::chr2:231084659..231084721,-p1@SP110
Hg19::chr2:32289003..32289089,+p1@AB384105
Hg19::chr3:121379739..121379771,-p1@HCLS1
Hg19::chr3:122512619..122512690,-p1@HSPBAP1
Hg19::chr3:129158715..129158766,-p2@MBD4
Hg19::chr4:88312301..88312375,-p1@HSD17B11
Hg19::chr5:100238920..100238949,-p2@ST8SIA4
Hg19::chr5:100238956..100238994,-p1@ST8SIA4
Hg19::chr5:100239086..100239122,+p1@AK055485
Hg19::chr5:154238052..154238091,+p2@CNOT8
Hg19::chr5:175085039..175085106,+p1@HRH2
Hg19::chr5:176853702..176853742,+p2@GRK6
Hg19::chr5:95157986..95158004,-p2@GLRX
Hg19::chr6:33266687..33266728,-p1@RGL2
Hg19::chr7:106505696..106505798,+p1@PIK3CG
Hg19::chr7:26332645..26332661,+p8@SNX10
Hg19::chr7:36763985..36764000,-p4@AOAH
Hg19::chr8:103251611..103251667,+p2@ENST00000520820
Hg19::chr8:67579326..67579368,-p2@VCPIP1
Hg19::chr9:115095883..115095932,-p1@PTBP3
Hg19::chr9:95726554..95726616,+p1@FGD3
Hg19::chrX:48542169..48542241,+p1@WAS
Hg19::chrX:71321022..71321043,+p@chrX:71321022..71321043
+


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
0.0003226291725905250.0340373777083004395Fc gamma R-mediated phagocytosis (KEGG):04666
0.0001363586559315220.0215787573011634371Bacterial invasion of epithelial cells (KEGG):05100
0.0001252428076610580.0215787573011634369IL-5 Signaling Pathway (Wikipathways):WP127
3.00804519216102e-060.001904092606637935161B Cell Receptor Signaling Pathway (Wikipathways):WP23
9.08047147404293e-060.00287396922153459329MAPK Cascade (Wikipathways):WP422
0.0002569256141766280.0325267827547611217{HCLS1,17} (Static Module):NA



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:0007154cell communication0.000219800609395661
GO:0009966regulation of signal transduction0.000585506406463515
GO:0007165signal transduction0.00112135234340188
GO:0030695GTPase regulator activity0.00139879786256928
GO:0005515protein binding0.00821279443007198
GO:0030048actin filament-based movement0.0113800714176354
GO:0030036actin cytoskeleton organization and biogenesis0.0113800714176354
GO:0065007biological regulation0.0113800714176354
GO:0030029actin filament-based process0.0113800714176354
GO:0007242intracellular signaling cascade0.0113800714176354
GO:0005737cytoplasm0.0113800714176354
GO:0006464protein modification process0.0239540251157988
GO:0043687post-translational protein modification0.0244979746616004
GO:0043412biopolymer modification0.0282238563994342
GO:0007010cytoskeleton organization and biogenesis0.0315329711302865
GO:0001726ruffle0.0315329711302865
GO:0001891phagocytic cup0.0315329711302865
GO:0050528acyloxyacyl hydrolase activity0.0315329711302865
GO:0002378immunoglobulin biosynthetic process0.0315329711302865
GO:0019975interleukin-17 binding0.0315329711302865
GO:0030368interleukin-17 receptor activity0.0315329711302865
GO:0006468protein amino acid phosphorylation0.0418521866255157
GO:0005083small GTPase regulator activity0.0434877302590047
GO:0051056regulation of small GTPase mediated signal transduction0.0434877302590047
GO:0008154actin polymerization and/or depolymerization0.0456442428978856
GO:0006793phosphorus metabolic process0.0456442428978856
GO:0006796phosphate metabolic process0.0456442428978856
GO:0043209myelin sheath0.0456442428978856
GO:0006710androgen catabolic process0.0456442428978856



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 cell3.27e-70172
angioblastic mesenchymal cell3.27e-70172
hematopoietic oligopotent progenitor cell1.57e-66165
hematopoietic multipotent progenitor cell1.57e-66165
hematopoietic cell7.81e-64182
leukocyte1.06e-60140
hematopoietic lineage restricted progenitor cell1.65e-50124
nongranular leukocyte2.61e-49119
myeloid cell1.46e-43112
common myeloid progenitor1.46e-43112
myeloid leukocyte1.16e-3476
granulocyte monocyte progenitor cell1.48e-3071
myeloid lineage restricted progenitor cell2.50e-2970
macrophage dendritic cell progenitor9.80e-2865
monopoietic cell4.41e-2763
monocyte4.41e-2763
monoblast4.41e-2763
promonocyte4.41e-2763
CD14-positive, CD16-negative classical monocyte1.99e-2642
classical monocyte2.69e-2245
lymphocyte3.00e-1953
common lymphoid progenitor3.00e-1953
lymphoid lineage restricted progenitor cell5.18e-1952
mesenchymal cell2.72e-11358
T cell5.47e-1025
pro-T cell5.47e-1025
connective tissue cell7.20e-10365
lymphocyte of B lineage7.21e-0924
pro-B cell7.21e-0924
mature alpha-beta T cell1.25e-0818
alpha-beta T cell1.25e-0818
immature T cell1.25e-0818
mature T cell1.25e-0818
immature alpha-beta T cell1.25e-0818
intermediate monocyte6.49e-079
CD14-positive, CD16-positive monocyte6.49e-079
B cell9.17e-0714
Uber Anatomy
Ontology termp-valuen
hematopoietic system8.51e-37102
blood island8.51e-37102
hemolymphoid system4.73e-35112
bone marrow6.37e-2680
bone element9.62e-2286
adult organism2.66e-20115
immune system5.26e-20115
skeletal element1.13e-15101
skeletal system1.13e-15101
lateral plate mesoderm1.29e-12216
connective tissue5.64e-09375
blood6.06e-0915
haemolymphatic fluid6.06e-0915
organism substance6.06e-0915
Disease
Ontology termp-valuen
hematologic cancer3.12e-1151
immune system cancer3.12e-1151
leukemia4.40e-1039
myeloid leukemia2.51e-0831


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)

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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


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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