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Coexpression cluster:C462

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Full id: C462_CD14_Monocytederived_Macrophage_Hepatic_Dendritic_lung_adipose



Phase1 CAGE Peaks

Hg19::chr10:49860525..49860564,-p7@ARHGAP22
Hg19::chr14:61448920..61448942,+p4@SLC38A6
Hg19::chr14:93118883..93118894,+p25@RIN3
Hg19::chr14:93214988..93215002,-p2@LGMN
Hg19::chr17:29281231..29281262,+p3@ADAP2
Hg19::chr17:29290132..29290136,+p@chr17:29290132..29290136
+
Hg19::chr17:29297900..29297936,-p2@AK092436
Hg19::chr17:7462347..7462356,+p10@TNFSF13
Hg19::chr19:11688452..11688486,-p1@ACP5
Hg19::chr19:12992244..12992272,-p2@DNASE2
Hg19::chr19:40872251..40872269,+p25@PLD3
Hg19::chr19:51645742..51645787,+p1@SIGLEC7
Hg19::chr1:159796513..159796524,+p7@SLAMF8
Hg19::chr1:206945673..206945712,-p4@IL10
Hg19::chr1:22965767..22965778,+p@chr1:22965767..22965778
+
Hg19::chr20:43990576..43990596,+p4@SYS1
Hg19::chr20:48884002..48884088,+p1@ENST00000425497
p1@ENST00000445003
p1@uc010zyr.1
Hg19::chr22:27014043..27014073,-p2@CRYBB1
Hg19::chr22:47016102..47016117,+p2@GRAMD4
Hg19::chr2:232106599..232106613,-p@chr2:232106599..232106613
-
Hg19::chr5:76383909..76383944,+p1@ENST00000514288


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:0005764lysosome0.00929741119260226
GO:0000323lytic vacuole0.00929741119260226
GO:0005773vacuole0.00946609524320958
GO:0030886negative regulation of myeloid dendritic cell activation0.0179307328724496
GO:0045355negative regulation of interferon-alpha biosynthetic process0.0179307328724496
GO:0005141interleukin-10 receptor binding0.0179307328724496
GO:0032695negative regulation of interleukin-12 production0.0179307328724496
GO:0045347negative regulation of MHC class II biosynthetic process0.0228169020854112
GO:0016889endodeoxyribonuclease activity, producing 3'-phosphomonoesters0.0228169020854112
GO:0004531deoxyribonuclease II activity0.0228169020854112
GO:0030885regulation of myeloid dendritic cell activation0.0228169020854112
GO:0032655regulation of interleukin-12 production0.0313510836916462
GO:0007253cytoplasmic sequestering of NF-kappaB0.0313510836916462
GO:0001773myeloid dendritic cell activation0.0313510836916462
GO:0042347negative regulation of NF-kappaB import into nucleus0.0313510836916462
GO:0045348positive regulation of MHC class II biosynthetic process0.0313510836916462
GO:0045354regulation of interferon-alpha biosynthetic process0.0313510836916462
GO:0032607interferon-alpha production0.0313510836916462
GO:0045349interferon-alpha biosynthetic process0.0313510836916462
GO:0045342MHC class II biosynthetic process0.0313510836916462
GO:0045346regulation of MHC class II biosynthetic process0.0313510836916462
GO:0004630phospholipase D activity0.0313510836916462
GO:0032615interleukin-12 production0.0313510836916462
GO:0001509legumain activity0.0313510836916462
GO:0042130negative regulation of T cell proliferation0.0328150059188141
GO:0045351interferon type I biosynthetic process0.0328150059188141
GO:0032606interferon type I production0.0328150059188141
GO:0042994cytoplasmic sequestering of transcription factor0.0328150059188141
GO:0045191regulation of isotype switching0.0328150059188141
GO:0042092T-helper 2 type immune response0.0328150059188141
GO:0051220cytoplasmic sequestering of protein0.0328150059188141
GO:0002237response to molecule of bacterial origin0.0328150059188141
GO:0001818negative regulation of cytokine production0.0328150059188141
GO:0002208somatic diversification of immunoglobulins during immune response0.0328150059188141
GO:0002381immunoglobulin production during immune response0.0328150059188141
GO:0050868negative regulation of T cell activation0.0328150059188141
GO:0042308negative regulation of protein import into nucleus0.0328150059188141
GO:0042992negative regulation of transcription factor import into nucleus0.0328150059188141
GO:0050672negative regulation of lymphocyte proliferation0.0328150059188141
GO:0002204somatic recombination of immunoglobulin genes during immune response0.0328150059188141
GO:0045190isotype switching0.0328150059188141
GO:0032945negative regulation of mononuclear cell proliferation0.0328150059188141
GO:0042348NF-kappaB import into nucleus0.033405743502606
GO:0046823negative regulation of nucleocytoplasmic transport0.033405743502606
GO:0042345regulation of NF-kappaB import into nucleus0.033405743502606
GO:0016447somatic recombination of immunoglobulin gene segments0.0346434571716005
GO:0051224negative regulation of protein transport0.0346434571716005
GO:0016444somatic cell DNA recombination0.0375615612892389
GO:0016445somatic diversification of immunoglobulins0.0375615612892389
GO:0002562somatic diversification of immune receptors via germline recombination within a single locus0.0375615612892389
GO:0002200somatic diversification of immune receptors0.0385178777119114
GO:0042036negative regulation of cytokine biosynthetic process0.0385178777119114
GO:0002377immunoglobulin production0.0417129711359742
GO:0042100B cell proliferation0.0417129711359742
GO:0051250negative regulation of lymphocyte activation0.0432221762489413
GO:0005096GTPase activator activity0.0443656361163416
GO:0042990regulation of transcription factor import into nucleus0.0445173893930843
GO:0042991transcription factor import into nucleus0.0445173893930843
GO:0005212structural constituent of eye lens0.0445173893930843
GO:0042306regulation of protein import into nucleus0.0451002136213308
GO:0033157regulation of intracellular protein transport0.0451002136213308
GO:0016788hydrolase activity, acting on ester bonds0.0453904386158153
GO:0030595leukocyte chemotaxis0.0456453341420361
GO:0032507maintenance of cellular protein localization0.046635970718298
GO:0051651maintenance of cellular localization0.046635970718298
GO:0050864regulation of B cell activation0.046635970718298
GO:0032386regulation of intracellular transport0.046635970718298
GO:0045185maintenance of protein localization0.047779721085016
GO:0002440production of molecular mediator of immune response0.0481912578546151
GO:0002274myeloid leukocyte activation0.0481912578546151
GO:0051223regulation of protein transport0.0492635366268128
GO:0046822regulation of nucleocytoplasmic transport0.0496163041105543
GO:0030183B cell differentiation0.0496163041105543



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>

Uber Anatomy
Ontology termp-valuen
hematopoietic system8.05e-26102
blood island8.05e-26102
bone marrow6.15e-2580
hemolymphoid system1.13e-24112
bone element3.09e-2386
immune system7.57e-22115
skeletal element2.26e-19101
skeletal system2.26e-19101
adult organism2.57e-19115
organ9.88e-16511
multi-cellular organism3.54e-14659
anatomical group5.41e-13626
anatomical system7.88e-13625
embryo4.67e-11612
lateral plate mesoderm8.56e-11216
embryonic structure4.41e-10605
developing anatomical structure4.41e-10605
germ layer6.01e-10604
embryonic tissue6.01e-10604
presumptive structure6.01e-10604
epiblast (generic)6.01e-10604
musculoskeletal system9.05e-09167
mesoderm4.72e-08448
mesoderm-derived structure4.72e-08448
presumptive mesoderm4.72e-08448


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.

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