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MCL coexpression mm9:2801

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Phase1 CAGE Peaks

 Short description
Mm9::chr12:85029073..85029199,+p1@Psen1
Mm9::chr2:163245244..163245284,-p1@3230401D17Rik
Mm9::chr3:30754868..30754924,+p1@Gpr160


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


GO IDGO nameFDR corrected p-value
GO:0032469endoplasmic reticulum calcium ion homeostasis0.0119794377064345
GO:0042987amyloid precursor protein catabolic process0.0119794377064345
GO:0051563smooth endoplasmic reticulum calcium ion homeostasis0.0119794377064345
GO:0007220Notch receptor processing0.0134764982208395
GO:0042982amyloid precursor protein metabolic process0.0143745376234029
GO:0050435beta-amyloid metabolic process0.0163320167618723
GO:0035253ciliary rootlet0.0163320167618723
GO:0051605protein maturation via proteolysis0.0163320167618723
GO:0042640anagen0.0163320167618723
GO:0006516glycoprotein catabolic process0.0163320167618723
GO:0051604protein maturation0.0163320167618723
GO:0048820hair follicle maturation0.0193450377908991
GO:0044441cilium part0.0193450377908991
GO:0007613memory0.0218107238491664
GO:0001708cell fate specification0.0275368557853909
GO:0001756somitogenesis0.0329646854011658
GO:0022404molting cycle process0.0329646854011658
GO:0001942hair follicle development0.0329646854011658
GO:0022405hair cycle process0.0329646854011658
GO:0035282segmentation0.0329646854011658
GO:0042633hair cycle0.0329646854011658
GO:0042303molting cycle0.0329646854011658
GO:0048589developmental growth0.0329646854011658
GO:0030425dendrite0.0329646854011658
GO:0007219Notch signaling pathway0.0329646854011658
GO:0001764neuron migration0.0329646854011658
GO:0043025cell soma0.0329646854011658
GO:0006874cellular calcium ion homeostasis0.0329646854011658
GO:0055074calcium ion homeostasis0.0329646854011658
GO:0030424axon0.0329646854011658
GO:0030326embryonic limb morphogenesis0.0329646854011658
GO:0035113embryonic appendage morphogenesis0.0329646854011658
GO:0006875cellular metal ion homeostasis0.0329646854011658
GO:0005929cilium0.0329646854011658
GO:0055065metal ion homeostasis0.0329646854011658
GO:0007611learning and/or memory0.0329646854011658
GO:0044463cell projection part0.0329646854011658
GO:0035107appendage morphogenesis0.034550461439192
GO:0035108limb morphogenesis0.034550461439192
GO:0060173limb development0.034550461439192
GO:0048736appendage development0.034550461439192
GO:0045860positive regulation of protein kinase activity0.0348069740923052
GO:0033674positive regulation of kinase activity0.0348069740923052
GO:0051347positive regulation of transferase activity0.0348069740923052
GO:0021700developmental maturation0.0348069740923052
GO:0009952anterior/posterior pattern formation0.0348069740923052
GO:0030005cellular di-, tri-valent inorganic cation homeostasis0.0348069740923052
GO:0008544epidermis development0.0348069740923052
GO:0055066di-, tri-valent inorganic cation homeostasis0.0348069740923052
GO:0009100glycoprotein metabolic process0.0348069740923052
GO:0045165cell fate commitment0.0348069740923052
GO:0007398ectoderm development0.0348069740923052
GO:0030003cellular cation homeostasis0.0351617043957099
GO:0055080cation homeostasis0.0355031324513295
GO:0043005neuron projection0.0377802262895967
GO:0045859regulation of protein kinase activity0.0406119316614535
GO:0043549regulation of kinase activity0.0409660595577061
GO:0043085positive regulation of catalytic activity0.0409660595577061
GO:0051338regulation of transferase activity0.0409660595577061
GO:0055082cellular chemical homeostasis0.0424350545411579
GO:0006873cellular ion homeostasis0.0424350545411579
GO:0003002regionalization0.0424350545411579
GO:0043065positive regulation of apoptosis0.0450445480303585
GO:0043068positive regulation of programmed cell death0.0450445480303585
GO:0050801ion homeostasis0.0450445480303585
GO:0007166cell surface receptor linked signal transduction0.0450445480303585
GO:0007507heart development0.0453835450904017
GO:0007420brain development0.0483799974998719



Relative expression of the co-expression cluster over median <br>Analyst:





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><br>uberon_data<br><br>


Uber Anatomy
Ontology termp-valuen
intestine5.76e-1231
gastrointestinal system4.30e-1147
mucosa3.05e-0815
organ component layer9.58e-0824
intestinal mucosa3.20e-0713
anatomical wall3.20e-0713
wall of intestine3.20e-0713
gastrointestinal system mucosa3.20e-0713


TFBS overrepresentation<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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