Coexpression cluster:C61: Difference between revisions
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{{Coexpression_clusters | {{Coexpression_clusters | ||
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|full_id=C61_migratory_Dendritic_immature_Macrophage_xeroderma_cord_b | |full_id=C61_migratory_Dendritic_immature_Macrophage_xeroderma_cord_b | ||
|gostat_on_coexpression_clusters=GO:0032502!developmental process!0.000377841516044536!10892;4881;28959;2023;57326;4790;200734;50488;10497;4637;330;941;79031;8828;23764;5294;64218$GO:0048869!cellular developmental process!0.00628566792223742!330;10892;79031;941;28959;57326;4790;5294;23764;8828;10497;64218$GO:0030154!cell differentiation!0.00628566792223742!330;10892;79031;941;28959;57326;4790;5294;23764;8828;10497;64218$GO:0005886!plasma membrane!0.0494507038038988!4881;941;9367;2023;58191;27334;3936;3554;80045;10267;200734;3117;283383;8884;10497$GO:0043066!negative regulation of apoptosis!0.0494507038038988!5294;330;10892;4790$GO:0032623!interleukin-2 production!0.0494507038038988!10892;941$GO:0043069!negative regulation of programmed cell death!0.0494507038038988!5294;330;10892;4790$GO:0044464!cell part!0.0494507038038988!55365;66005;285971;4881;28959;58191;4790;7520;200734;51667;3117;780776;283383;10906;4637;92521;330;10385;79031;4174;80045;8828;55916;7295;147138;171024;9020;10892;55007;2023;9367;3936;27334;57326;5993;10267;8884;10497;2117;941;3554;901;27074;23764;5294;29803;79966;64218 | |gostat_on_coexpression_clusters=GO:0032502!developmental process!0.000377841516044536!10892;4881;28959;2023;57326;4790;200734;50488;10497;4637;330;941;79031;8828;23764;5294;64218$GO:0048869!cellular developmental process!0.00628566792223742!330;10892;79031;941;28959;57326;4790;5294;23764;8828;10497;64218$GO:0030154!cell differentiation!0.00628566792223742!330;10892;79031;941;28959;57326;4790;5294;23764;8828;10497;64218$GO:0005886!plasma membrane!0.0494507038038988!4881;941;9367;2023;58191;27334;3936;3554;80045;10267;200734;3117;283383;8884;10497$GO:0043066!negative regulation of apoptosis!0.0494507038038988!5294;330;10892;4790$GO:0032623!interleukin-2 production!0.0494507038038988!10892;941$GO:0043069!negative regulation of programmed cell death!0.0494507038038988!5294;330;10892;4790$GO:0044464!cell part!0.0494507038038988!55365;66005;285971;4881;28959;58191;4790;7520;200734;51667;3117;780776;283383;10906;4637;92521;330;10385;79031;4174;80045;8828;55916;7295;147138;171024;9020;10892;55007;2023;9367;3936;27334;57326;5993;10267;8884;10497;2117;941;3554;901;27074;23764;5294;29803;79966;64218 |
Revision as of 18:16, 12 September 2012
Full id: C61_migratory_Dendritic_immature_Macrophage_xeroderma_cord_b
Phase1 CAGE Peaks
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.value | FDR | nGenes | nPathway | Name |
---|---|---|---|---|
0.000723495633320979 | 0.02693957269954 | 4 | 189 | Chemokine signaling pathway (KEGG):04062 |
1.14932691900024e-06 | 0.000363761969863575 | 5 | 86 | Apoptosis (KEGG):04210 |
0.00198207686361645 | 0.0482559482565083 | 3 | 116 | Vascular smooth muscle contraction (KEGG):04270 |
0.000165140566465295 | 0.0171610173803105 | 4 | 128 | Osteoclast differentiation (KEGG):04380 |
0.00137145006955941 | 0.0377446910448308 | 3 | 102 | Toll-like receptor signaling pathway (KEGG):04620 |
8.56423035042436e-05 | 0.0135528945295466 | 4 | 108 | T cell receptor signaling pathway (KEGG):04660 |
0.000561879558600461 | 0.025404982899578 | 3 | 75 | B cell receptor signaling pathway (KEGG):04662 |
0.000159480877596477 | 0.0171610173803105 | 3 | 49 | Intestinal immune network for IgA production (KEGG):04672 |
0.000191313229292521 | 0.0171610173803105 | 4 | 133 | Toxoplasmosis (KEGG):05145 |
0.00153164363893432 | 0.0403971009768928 | 3 | 106 | Amoebiasis (KEGG):05146 |
0.000628293405730547 | 0.0265139817218291 | 4 | 182 | Tuberculosis (KEGG):05152 |
0.000554077106577416 | 0.025404982899578 | 4 | 176 | Influenza A (KEGG):05164 |
0.000809502563905301 | 0.0269692169974766 | 3 | 85 | Small cell lung cancer (KEGG):05222 |
0.000243995507776927 | 0.0171610173803105 | 2 | 11 | Osteopontin Signaling (Wikipathways):WP1434 |
0.000232815478918128 | 0.0171610173803105 | 4 | 140 | Regulation of toll-like receptor signaling pathway (Wikipathways):WP1449 |
0.000866088111557347 | 0.02741168873079 | 3 | 87 | MicroRNAs in cardiomyocyte hypertrophy (Wikipathways):WP1544 |
2.77565538333288e-05 | 0.00585663285883237 | 4 | 81 | Apoptosis Modulation and Signaling (Wikipathways):WP1772 |
0.000709308355343682 | 0.02693957269954 | 4 | 188 | TNF-alpha/NF-kB Signaling Pathway (Wikipathways):WP231 |
0.00100938566684373 | 0.0304257679577181 | 2 | 22 | EBV LMP1 signaling (Wikipathways):WP262 |
0.000405452167106626 | 0.0213876018148745 | 4 | 162 | MAPK signaling pathway (Wikipathways):WP382 |
0.00137145006955941 | 0.0377446910448308 | 3 | 102 | Toll-like receptor signaling pathway (Wikipathways):WP75 |
0.000771236240077837 | 0.0269692169974766 | 6 | 511 | Signaling in Immune system (Reactome):REACT_6900 |
0.000405452167106626 | 0.0213876018148745 | 4 | 162 | TNF alpha/NF-kB down reg. targets (Netpath):NetPath_9 |
0.00191127452866547 | 0.0482559482565083 | 4 | 246 | B Cell Receptor up reg. targets (Netpath):NetPath_12 |
0.000343004633768695 | 0.0213876018148745 | 4 | 155 | IL-1 up reg. targets (Netpath):NetPath_13 |
2.04164496673815e-08 | 1.29236126394525e-05 | 8 | 217 | IL-4 up reg. targets (Netpath):NetPath_16 |
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 ID | GO name | FDR corrected p-value |
---|---|---|
GO:0032502 | developmental process | 0.000377841516044536 |
GO:0048869 | cellular developmental process | 0.00628566792223742 |
GO:0030154 | cell differentiation | 0.00628566792223742 |
GO:0005886 | plasma membrane | 0.0494507038038988 |
GO:0043066 | negative regulation of apoptosis | 0.0494507038038988 |
GO:0032623 | interleukin-2 production | 0.0494507038038988 |
GO:0043069 | negative regulation of programmed cell death | 0.0494507038038988 |
GO:0044464 | cell part | 0.0494507038038988 |
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>
Ontology term | p-value | n |
---|---|---|
leukocyte | 5.89e-46 | 140 |
nongranular leukocyte | 2.48e-36 | 119 |
hematopoietic lineage restricted progenitor cell | 1.09e-35 | 124 |
myeloid leukocyte | 4.12e-27 | 76 |
hematopoietic stem cell | 1.17e-24 | 172 |
angioblastic mesenchymal cell | 1.17e-24 | 172 |
granulocyte monocyte progenitor cell | 9.60e-24 | 71 |
hematopoietic cell | 3.26e-23 | 182 |
hematopoietic oligopotent progenitor cell | 3.90e-23 | 165 |
hematopoietic multipotent progenitor cell | 3.90e-23 | 165 |
macrophage dendritic cell progenitor | 3.99e-23 | 65 |
monopoietic cell | 7.76e-22 | 63 |
monocyte | 7.76e-22 | 63 |
monoblast | 7.76e-22 | 63 |
promonocyte | 7.76e-22 | 63 |
myeloid lineage restricted progenitor cell | 1.87e-21 | 70 |
CD14-positive, CD16-negative classical monocyte | 5.56e-21 | 42 |
classical monocyte | 2.19e-19 | 45 |
lymphocyte | 4.55e-13 | 53 |
common lymphoid progenitor | 4.55e-13 | 53 |
lymphoid lineage restricted progenitor cell | 1.31e-12 | 52 |
myeloid cell | 6.37e-11 | 112 |
common myeloid progenitor | 6.37e-11 | 112 |
lymphocyte of B lineage | 2.19e-09 | 24 |
pro-B cell | 2.19e-09 | 24 |
dendritic cell | 2.30e-08 | 10 |
conventional dendritic cell | 2.03e-07 | 8 |
Ontology term | p-value | n |
---|---|---|
hematopoietic system | 9.54e-28 | 102 |
blood island | 9.54e-28 | 102 |
hemolymphoid system | 1.27e-26 | 112 |
bone marrow | 2.65e-19 | 80 |
bone element | 9.48e-17 | 86 |
immune system | 2.21e-15 | 115 |
skeletal element | 2.67e-12 | 101 |
skeletal system | 2.67e-12 | 101 |
adult organism | 1.06e-10 | 115 |
blood | 9.54e-07 | 15 |
haemolymphatic fluid | 9.54e-07 | 15 |
organism substance | 9.54e-07 | 15 |
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
(#promoters = Number of promoters in this coexpression cluster that have ChIP signal of the TF)
TF | #promoters | Enrichment | p-value | q-value |
---|---|---|---|---|
BATF#10538 | 22 | 1.87367706094643 | 0.00391317268546165 | 0.0190690482501367 |
EBF1#1879 | 46 | 1.43250865364397 | 0.00814370014143584 | 0.0321594093496963 |
MAFK#7975 | 21 | 1.98991397165884 | 0.00240863050879276 | 0.0135799482675344 |
MEF2A#4205 | 25 | 1.63839431028357 | 0.0112307606300385 | 0.0412335445911759 |
NFKB1#4790 | 70 | 1.34323230662087 | 0.00493225098634385 | 0.0230488773888212 |
RXRA#6256 | 26 | 1.82496519446666 | 0.0025098476887578 | 0.0140769014964919 |
SPI1#6688 | 56 | 1.60644096670375 | 0.000232848988002803 | 0.00255822800947031 |
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