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Coexpression cluster:C1932: Difference between revisions

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|pathway_enrichment=8.87028067484744e-05;0.00350930479198652;2;156;Phagosome (KEGG):04145!6.73840783266509e-05;0.00292803571279427;2;136;Cell adhesion molecules (CAMs) (KEGG):04514!2.20729154564608e-05;0.00127019595308543;2;78;Antigen processing and presentation (KEGG):04612!8.64980401661253e-06;0.000896112020211999;2;49;Intestinal immune network for IgA production (KEGG):04672!7.28240379719336e-06;0.000896112020211999;2;45;Type I diabetes mellitus (KEGG):04940!1.9318817157557e-05;0.00122288112607336;2;73;Leishmaniasis (KEGG):05140!6.44378011191878e-05;0.00292803571279427;2;133;Toxoplasmosis (KEGG):05145!1.1325270397624e-05;0.000896112020211999;2;56;Staphylococcus aureus infection (KEGG):05150!0.000120772003400194;0.00424714878624014;2;182;Tuberculosis (KEGG):05152!0.000112934890859989;0.00420516387731604;2;176;Influenza A (KEGG):05164!3.42164256458367e-06;0.000896112020211999;2;31;Asthma (KEGG):05310!1.05241687813521e-05;0.000896112020211999;2;54;Autoimmune thyroid disease (KEGG):05320!6.93847325306698e-05;0.00292803571279427;2;138;Systemic lupus erythematosus (KEGG):05322!3.0758227865789e-05;0.00162249651992037;2;92;Rheumatoid arthritis (KEGG):05323!5.45153351157612e-06;0.000896112020211999;2;39;Allograft rejection (KEGG):05330!6.64274556874299e-06;0.000896112020211999;2;43;Graft-versus-host disease (KEGG):05332!1.87899740683929e-05;0.00122288112607336;2;72;Viral myocarditis (KEGG):05416!0.000948076017669582;0.0315859010097287;2;511;Signaling in Immune system (Reactome):REACT_6900!2.85609257642289e-06;0.000896112020211999;3;406;{GRB2,414} (Static Module):NA
|pathway_enrichment=8.87028067484744e-05;0.00350930479198652;2;156;Phagosome (KEGG):04145!6.73840783266509e-05;0.00292803571279427;2;136;Cell adhesion molecules (CAMs) (KEGG):04514!2.20729154564608e-05;0.00127019595308543;2;78;Antigen processing and presentation (KEGG):04612!8.64980401661253e-06;0.000896112020211999;2;49;Intestinal immune network for IgA production (KEGG):04672!7.28240379719336e-06;0.000896112020211999;2;45;Type I diabetes mellitus (KEGG):04940!1.9318817157557e-05;0.00122288112607336;2;73;Leishmaniasis (KEGG):05140!6.44378011191878e-05;0.00292803571279427;2;133;Toxoplasmosis (KEGG):05145!1.1325270397624e-05;0.000896112020211999;2;56;Staphylococcus aureus infection (KEGG):05150!0.000120772003400194;0.00424714878624014;2;182;Tuberculosis (KEGG):05152!0.000112934890859989;0.00420516387731604;2;176;Influenza A (KEGG):05164!3.42164256458367e-06;0.000896112020211999;2;31;Asthma (KEGG):05310!1.05241687813521e-05;0.000896112020211999;2;54;Autoimmune thyroid disease (KEGG):05320!6.93847325306698e-05;0.00292803571279427;2;138;Systemic lupus erythematosus (KEGG):05322!3.0758227865789e-05;0.00162249651992037;2;92;Rheumatoid arthritis (KEGG):05323!5.45153351157612e-06;0.000896112020211999;2;39;Allograft rejection (KEGG):05330!6.64274556874299e-06;0.000896112020211999;2;43;Graft-versus-host disease (KEGG):05332!1.87899740683929e-05;0.00122288112607336;2;72;Viral myocarditis (KEGG):05416!0.000948076017669582;0.0315859010097287;2;511;Signaling in Immune system (Reactome):REACT_6900!2.85609257642289e-06;0.000896112020211999;3;406;{GRB2,414} (Static Module):NA
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}}
}}

Revision as of 15:12, 26 November 2012


Full id: C1932_immature_migratory_Monocytederived_CD14_plasma_Dendritic_Macrophage



Phase1 CAGE Peaks

Hg19::chr4:10686355..10686365,-p4@CLNK
Hg19::chr4:184181710..184181715,+p@chr4:184181710..184181715
+
Hg19::chr6:32610954..32610967,+p12@HLA-DQA1
Hg19::chr6:32709159..32709175,+p1@HLA-DQA2
Hg19::chr6:32725594..32725620,-p@chr6:32725594..32725620
-


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
8.87028067484744e-050.003509304791986522156Phagosome (KEGG):04145
6.73840783266509e-050.002928035712794272136Cell adhesion molecules (CAMs) (KEGG):04514
2.20729154564608e-050.00127019595308543278Antigen processing and presentation (KEGG):04612
8.64980401661253e-060.000896112020211999249Intestinal immune network for IgA production (KEGG):04672
7.28240379719336e-060.000896112020211999245Type I diabetes mellitus (KEGG):04940
1.9318817157557e-050.00122288112607336273Leishmaniasis (KEGG):05140
6.44378011191878e-050.002928035712794272133Toxoplasmosis (KEGG):05145
1.1325270397624e-050.000896112020211999256Staphylococcus aureus infection (KEGG):05150
0.0001207720034001940.004247148786240142182Tuberculosis (KEGG):05152
0.0001129348908599890.004205163877316042176Influenza A (KEGG):05164
3.42164256458367e-060.000896112020211999231Asthma (KEGG):05310
1.05241687813521e-050.000896112020211999254Autoimmune thyroid disease (KEGG):05320
6.93847325306698e-050.002928035712794272138Systemic lupus erythematosus (KEGG):05322
3.0758227865789e-050.00162249651992037292Rheumatoid arthritis (KEGG):05323
5.45153351157612e-060.000896112020211999239Allograft rejection (KEGG):05330
6.64274556874299e-060.000896112020211999243Graft-versus-host disease (KEGG):05332
1.87899740683929e-050.00122288112607336272Viral myocarditis (KEGG):05416
0.0009480760176695820.03158590100972872511Signaling in Immune system (Reactome):REACT_6900
2.85609257642289e-060.0008961120202119993406{GRB2,414} (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:0002504antigen processing and presentation of peptide or polysaccharide antigen via MHC class II0.000172425623571692
GO:0042613MHC class II protein complex0.000172425623571692
GO:0042611MHC protein complex0.000818807252234725
GO:0019882antigen processing and presentation0.000818807252234725
GO:0032395MHC class II receptor activity0.00448787011083415
GO:0006955immune response0.00448787011083415
GO:0002376immune system process0.00522767039823827
GO:0044459plasma membrane part0.0124361385279608
GO:0043234protein complex0.0175990547962191
GO:0005886plasma membrane0.026123025269096
GO:0032991macromolecular complex0.026123025269096



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>


Cell Type
Ontology termp-valuen
leukocyte3.09e-40136
macrophage dendritic cell progenitor1.24e-3861
nongranular leukocyte1.33e-38115
hematopoietic lineage restricted progenitor cell5.10e-37120
monopoietic cell1.37e-3459
monocyte1.37e-3459
monoblast1.37e-3459
promonocyte1.37e-3459
granulocyte monocyte progenitor cell2.23e-3467
defensive cell9.54e-3448
phagocyte9.54e-3448
classical monocyte9.07e-3142
CD14-positive, CD16-negative classical monocyte9.07e-3142
myeloid lineage restricted progenitor cell4.84e-3066
hematopoietic stem cell5.36e-30168
angioblastic mesenchymal cell5.36e-30168
hematopoietic cell3.89e-29177
hematopoietic oligopotent progenitor cell5.03e-29161
hematopoietic multipotent progenitor cell5.03e-29161
myeloid leukocyte7.62e-2772
myeloid cell1.28e-22108
common myeloid progenitor1.28e-22108
Langerhans cell2.98e-155
stuff accumulating cell3.23e-1587
conventional dendritic cell4.07e-158
dendritic cell3.88e-1210
lymphocyte of B lineage2.51e-1124
pro-B cell2.51e-1124
intermediate monocyte2.79e-109
CD14-positive, CD16-positive monocyte2.79e-109
immature conventional dendritic cell8.71e-085
common dendritic progenitor8.71e-085
mesenchymal cell1.72e-07354
CD1a-positive Langerhans cell3.90e-072
immature CD1a-positive Langerhans cell3.90e-072
connective tissue cell4.06e-07361
lymphoid lineage restricted progenitor cell9.93e-0752


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


This analysis result is provided for C0 - C305 clusters.