Coexpression cluster:C193: Difference between revisions
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|tf_chipseq_enrich=HNF4G#3174;8:2.64399287599511:0.0109263525724861:0.0402134593620846!NR3C1#2908;12:2.06524459740318:0.0128841073377866:0.0463441806871393 | |tf_chipseq_enrich=HNF4G#3174;8:2.64399287599511:0.0109263525724861:0.0402134593620846!NR3C1#2908;12:2.06524459740318:0.0128841073377866:0.0463441806871393 | ||
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| ||
|tfbs_overrepresentation_for_novel_motifs=0.492536,4.80848,0.309448,0.199107,0.468203,0.0906701,0.545245,1.20161,3.5416,0.897869,0.155415,0.212323,0.460156,0.302078,0.201743,1.00058,0.489812,0.172479,1.05025,1.14694,0.189574,3.06297,0.185608,0.193558,0.287249,0.241651,1.92316,0.528486,0.48107,1.21505,1.8292,0.558699,0.516742,0.610551,1.90635,1.79695,0.0340251,0.355691,0.158635,2.50286,0.0731742,0.778093,2.53092,0.114827,3.27769,0.585406,0.325208,0.434976,2.04295,0.877053,0.10709,0.175956,2.00931,0.108444,0.189091,0.307395,0.344629,0.67587,2.66349,0.119311,0.0926978,0.837695,0.96949,0.440334,0.185773,0.168337,0.244599,0.526182,0.0724162,0.393896,0.718214,0.116858,0.0977677,0.187904,0.23324,1.50802,0.49055,0.183733,0.0712243,0.272889,0.444461,0.198216,0.015345,0.00630397,0.15852,1.31941,0.0178682,1.78096,0.547934,0.61185,0.309197,0.442796,0.281997,0.0683551,0.00204894,0.146,0.681411,0.330467,0.8841,0.508425,0.511887,0.275819,0.323933,0.496515,0.158591,0.149677,0.213994,0.0536219,0.009265,0.566187,0.946038,0.0969993,0.179102,2.51887,0.275276,0.31892,1.61282,0.0546695,0.166333,0.300751,0.183025,0.54225,0.0296385,0.386006,0.355498,0.412514,0.154869,0.0848111,0.208721,0.343409,0.443709,0.0570263,0.217709,0.194741,0.318535,0.199708,0.122039,0.18336,0.288143,1.03171,0.658175,0.262342,0.156706,0.0990901,0.654726,0.236858,0.146415,0.8809,0.536196,1.11277,1.1401,0.220394,0.144574,0.712581,0.553479,0.418018,0.510503,0.769852,0.648953,0.0594993,0.261517,0.134985,0.248634,0.542705,0.17382,0.0708668,1.46769,0.320699,10.1163 | |||
}} | }} |
Revision as of 13:44, 26 November 2012
Full id: C193_Mesenchymal_Adipocyte_mature_Cardiac_heart_CD14CD16_CD14
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 |
---|---|---|---|---|
1.9629592890301e-06 | 0.00124255322995605 | 8 | 740 | TGF beta receptor down reg. targets (Netpath):NetPath_7 |
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:0048518 | positive regulation of biological process | 0.00140632531219541 |
GO:0048522 | positive regulation of cellular process | 0.00388887713003141 |
GO:0006917 | induction of apoptosis | 0.00392172611206062 |
GO:0012502 | induction of programmed cell death | 0.00392172611206062 |
GO:0005625 | soluble fraction | 0.00392172611206062 |
GO:0045936 | negative regulation of phosphate metabolic process | 0.00392172611206062 |
GO:0043065 | positive regulation of apoptosis | 0.00392172611206062 |
GO:0043068 | positive regulation of programmed cell death | 0.00392172611206062 |
GO:0042632 | cholesterol homeostasis | 0.00392172611206062 |
GO:0055092 | sterol homeostasis | 0.00392172611206062 |
GO:0055088 | lipid homeostasis | 0.00438854313126638 |
GO:0015918 | sterol transport | 0.00438854313126638 |
GO:0030301 | cholesterol transport | 0.00438854313126638 |
GO:0008034 | lipoprotein binding | 0.0107484795777597 |
GO:0065007 | biological regulation | 0.0178024265771723 |
GO:0050789 | regulation of biological process | 0.0191590005068112 |
GO:0003817 | complement factor D activity | 0.0191590005068112 |
GO:0050749 | apolipoprotein E receptor binding | 0.0191590005068112 |
GO:0032515 | negative regulation of phosphoprotein phosphatase activity | 0.0191590005068112 |
GO:0030229 | very-low-density lipoprotein receptor activity | 0.0191590005068112 |
GO:0032516 | positive regulation of phosphoprotein phosphatase activity | 0.0191590005068112 |
GO:0035305 | negative regulation of dephosphorylation | 0.0191590005068112 |
GO:0035308 | negative regulation of protein amino acid dephosphorylation | 0.0191590005068112 |
GO:0042981 | regulation of apoptosis | 0.0259099367043505 |
GO:0043067 | regulation of programmed cell death | 0.0259099367043505 |
GO:0050794 | regulation of cellular process | 0.0259099367043505 |
GO:0051174 | regulation of phosphorus metabolic process | 0.0259099367043505 |
GO:0019220 | regulation of phosphate metabolic process | 0.0259099367043505 |
GO:0008160 | protein tyrosine phosphatase activator activity | 0.0259099367043505 |
GO:0048156 | tau protein binding | 0.0259099367043505 |
GO:0035306 | positive regulation of dephosphorylation | 0.0259099367043505 |
GO:0035304 | regulation of protein amino acid dephosphorylation | 0.0259099367043505 |
GO:0035307 | positive regulation of protein amino acid dephosphorylation | 0.0259099367043505 |
GO:0010149 | senescence | 0.0259099367043505 |
GO:0008203 | cholesterol metabolic process | 0.030957613977377 |
GO:0042157 | lipoprotein metabolic process | 0.0319799892743909 |
GO:0051496 | positive regulation of stress fiber formation | 0.0319799892743909 |
GO:0051004 | regulation of lipoprotein lipase activity | 0.0319799892743909 |
GO:0051495 | positive regulation of cytoskeleton organization and biogenesis | 0.0319799892743909 |
GO:0032233 | positive regulation of actin filament bundle formation | 0.0319799892743909 |
GO:0031232 | extrinsic to external side of plasma membrane | 0.0319799892743909 |
GO:0043086 | negative regulation of catalytic activity | 0.0319799892743909 |
GO:0016125 | sterol metabolic process | 0.0363570142838911 |
GO:0005319 | lipid transporter activity | 0.0370265024419312 |
GO:0051721 | protein phosphatase 2A binding | 0.0374547283925113 |
GO:0045192 | low-density lipoprotein catabolic process | 0.0374547283925113 |
GO:0032088 | inhibition of NF-kappaB transcription factor | 0.0374547283925113 |
GO:0031589 | cell-substrate adhesion | 0.0389496332072172 |
GO:0035303 | regulation of dephosphorylation | 0.0439905280809569 |
GO:0017166 | vinculin binding | 0.0439905280809569 |
GO:0031324 | negative regulation of cellular metabolic process | 0.0444126921707153 |
GO:0051346 | negative regulation of hydrolase activity | 0.0454880282252511 |
GO:0006423 | cysteinyl-tRNA aminoacylation | 0.0454880282252511 |
GO:0004817 | cysteine-tRNA ligase activity | 0.0454880282252511 |
GO:0033344 | cholesterol efflux | 0.0454880282252511 |
GO:0042159 | lipoprotein catabolic process | 0.0454880282252511 |
GO:0051492 | regulation of stress fiber formation | 0.0454880282252511 |
GO:0032231 | regulation of actin filament bundle formation | 0.0454880282252511 |
GO:0043038 | amino acid activation | 0.0456459809016163 |
GO:0006418 | tRNA aminoacylation for protein translation | 0.0456459809016163 |
GO:0043039 | tRNA aminoacylation | 0.0456459809016163 |
GO:0001953 | negative regulation of cell-matrix adhesion | 0.0456459809016163 |
GO:0043149 | stress fiber formation | 0.0456459809016163 |
GO:0006869 | lipid transport | 0.0456459809016163 |
GO:0016876 | ligase activity, forming aminoacyl-tRNA and related compounds | 0.0456459809016163 |
GO:0016875 | ligase activity, forming carbon-oxygen bonds | 0.0456459809016163 |
GO:0004812 | aminoacyl-tRNA ligase activity | 0.0456459809016163 |
GO:0006915 | apoptosis | 0.0456459809016163 |
GO:0009892 | negative regulation of metabolic process | 0.0456459809016163 |
GO:0012501 | programmed cell death | 0.0456459809016163 |
GO:0030299 | cholesterol absorption | 0.0456459809016163 |
GO:0043410 | positive regulation of MAPKKK cascade | 0.0456459809016163 |
GO:0000045 | autophagic vacuole formation | 0.0456459809016163 |
GO:0042627 | chylomicron | 0.0456459809016163 |
GO:0044241 | lipid digestion | 0.0456459809016163 |
GO:0050750 | low-density lipoprotein receptor binding | 0.0456459809016163 |
GO:0045471 | response to ethanol | 0.0456459809016163 |
GO:0000267 | cell fraction | 0.0469230363482118 |
GO:0045736 | negative regulation of cyclin-dependent protein kinase activity | 0.0469230363482118 |
GO:0016236 | macroautophagy | 0.0469230363482118 |
GO:0006707 | cholesterol catabolic process | 0.0469230363482118 |
GO:0016127 | sterol catabolic process | 0.0469230363482118 |
GO:0048168 | regulation of neuronal synaptic plasticity | 0.0469230363482118 |
GO:0016265 | death | 0.0469230363482118 |
GO:0008219 | cell death | 0.0469230363482118 |
GO:0050892 | intestinal absorption | 0.0498827202411778 |
GO:0001540 | beta-amyloid binding | 0.0498827202411778 |
GO:0022408 | negative regulation of cell-cell adhesion | 0.0498827202411778 |
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 |
---|---|---|
fibroblast | 1.04e-14 | 76 |
contractile cell | 3.43e-14 | 59 |
muscle precursor cell | 4.28e-14 | 58 |
myoblast | 4.28e-14 | 58 |
multi-potent skeletal muscle stem cell | 4.28e-14 | 58 |
muscle cell | 8.18e-13 | 55 |
electrically responsive cell | 6.87e-11 | 61 |
electrically active cell | 6.87e-11 | 61 |
non-terminally differentiated cell | 1.04e-10 | 106 |
cell of skeletal muscle | 1.22e-09 | 9 |
somatic cell | 8.33e-09 | 588 |
multi fate stem cell | 3.67e-08 | 427 |
somatic stem cell | 8.81e-08 | 433 |
stem cell | 2.70e-07 | 441 |
skin fibroblast | 4.89e-07 | 23 |
smooth muscle cell | 5.91e-07 | 43 |
smooth muscle myoblast | 5.91e-07 | 43 |
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 |
---|---|---|---|---|
HNF4G#3174 | 8 | 2.64399287599511 | 0.0109263525724861 | 0.0402134593620846 |
NR3C1#2908 | 12 | 2.06524459740318 | 0.0128841073377866 | 0.0463441806871393 |
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