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MCL coexpression mm9:665

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Phase1 CAGE Peaks

 Short description
Mm9::chr12:5649804..5649807,+p@chr12:5649804..5649807
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Mm9::chr12:5649934..5649959,+p@chr12:5649934..5649959
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Mm9::chr8:96696674..96696692,+p1@Mt2
Mm9::chr8:96697253..96697294,+p@chr8:96697253..96697294
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Mm9::chr8:96697364..96697394,-p@chr8:96697364..96697394
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Mm9::chr8:96703134..96703148,+p1@Mt1
Mm9::chr8:96703993..96704103,+p@chr8:96703993..96704103
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Mm9::chr8:96704054..96704065,-p@chr8:96704054..96704065
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Mm9::chr8:96704117..96704156,+p@chr8:96704117..96704156
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Mm9::chr8:96704126..96704155,-p@chr8:96704126..96704155
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Mm9::chr8:96704157..96704191,-p@chr8:96704157..96704191
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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:0046688response to copper ion4.14223155268884e-07
GO:0010273detoxification of copper ion4.14223155268884e-07
GO:0007263nitric oxide mediated signal transduction5.52297540358513e-07
GO:0006882cellular zinc ion homeostasis8.28446310537767e-07
GO:0055069zinc ion homeostasis8.28446310537767e-07
GO:0010038response to metal ion2.07111577634442e-06
GO:0010035response to inorganic substance3.07708629628314e-06
GO:0009636response to toxin5.90267996258159e-06
GO:0030005cellular di-, tri-valent inorganic cation homeostasis0.000130503306307213
GO:0055066di-, tri-valent inorganic cation homeostasis0.000130503306307213
GO:0030003cellular cation homeostasis0.000130503306307213
GO:0055080cation homeostasis0.000130503306307213
GO:0055082cellular chemical homeostasis0.000208788195167673
GO:0006873cellular ion homeostasis0.000208788195167673
GO:0050801ion homeostasis0.000252123827173661
GO:0048878chemical homeostasis0.000359886823724789
GO:0019725cellular homeostasis0.000359886823724789
GO:0042592homeostatic process0.000802764474911096
GO:0042221response to chemical stimulus0.00129721611498995
GO:0065008regulation of biological quality0.0025646626658473
GO:0007242intracellular signaling cascade0.006372724619251
GO:0005507copper ion binding0.0123536030994868
GO:0006875cellular metal ion homeostasis0.0142545463802805
GO:0055065metal ion homeostasis0.0142545463802805
GO:0008270zinc ion binding0.018566707919691
GO:0046914transition metal ion binding0.0274975137905994
GO:0005764lysosome0.0304599490349778
GO:0000323lytic vacuole0.0304599490349778
GO:0005773vacuole0.0330234601740568
GO:0043169cation binding0.0458567677081809



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



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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>disease_data<br>


Cell Type
Ontology termp-valuen

Uber Anatomy
Ontology termp-valuen

Disease
Ontology termp-valuen


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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