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MCL coexpression mm9:231

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Phase1 CAGE Peaks

 Short description
Mm9::chr10:13684655..13684681,+p@chr10:13684655..13684681
+
Mm9::chr10:13684820..13684849,+p@chr10:13684820..13684849
+
Mm9::chr10:13685450..13685456,-p@chr10:13685450..13685456
-
Mm9::chr10:13685468..13685481,-p@chr10:13685468..13685481
-
Mm9::chr11:69224446..69224477,+p@chr11:69224446..69224477
+
Mm9::chr11:69224603..69224618,+p@chr11:69224603..69224618
+
Mm9::chr11:69225467..69225488,+p@chr11:69225467..69225488
+
Mm9::chr11:69572358..69572371,+p@chr11:69572358..69572371
+
Mm9::chr12:25336286..25336297,+p2@Klf11
Mm9::chr12:74692849..74692855,+p@chr12:74692849..74692855
+
Mm9::chr13:42148162..42148173,-p@chr13:42148162..42148173
-
Mm9::chr14:62299800..62299832,+p@chr14:62299800..62299832
+
Mm9::chr14:76234648..76234679,-p@chr14:76234648..76234679
-
Mm9::chr18:14941747..14941768,+p1@Taf4b
Mm9::chr18:4353243..4353254,-p3@Map3k8
Mm9::chr18:5591389..5591406,+p3@Zeb1
Mm9::chr18:80911813..80911827,+p@chr18:80911813..80911827
+
Mm9::chr19:36423891..36423907,-p@chr19:36423891..36423907
-
Mm9::chr19:46380054..46380065,-p2@uc008hss.1
Mm9::chr1:34491937..34491951,+p@chr1:34491937..34491951
+
Mm9::chr2:14971056..14971074,+p3@Arl5b
Mm9::chr2:34726609..34726633,+p@chr2:34726609..34726633
+
Mm9::chr3:108247192..108247215,+p@chr3:108247192..108247215
+
Mm9::chr3:145587837..145587859,-p@chr3:145587837..145587859
-
Mm9::chr5:134789543..134789566,+p@chr5:134789543..134789566
+
Mm9::chr5:53981417..53981431,-p@chr5:53981417..53981431
-
Mm9::chr6:48658128..48658158,-p3@Gimap6
Mm9::chr6:86422158..86422169,-p@chr6:86422158..86422169
-
Mm9::chr7:20214327..20214347,+p@chr7:20214327..20214347
+
Mm9::chr7:26474119..26474128,-p@chr7:26474119..26474128
-
Mm9::chr7:29164244..29164254,-p2@Zfp36
Mm9::chr8:87500597..87500641,+p@chr8:87500597..87500641
+
Mm9::chr8:87501892..87501899,-p@chr8:87501892..87501899
-
Mm9::chr9:107198554..107198566,+p4@Cish
Mm9::chr9:56266642..56266653,-p@chr9:56266642..56266653
-
Mm9::chr9:75255922..75255931,+p@chr9:75255922..75255931
+


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:0043283biopolymer metabolic process0.0460031566354788
GO:0045892negative regulation of transcription, DNA-dependent0.0460031566354788
GO:0050794regulation of cellular process0.0460031566354788
GO:0006351transcription, DNA-dependent0.0460031566354788
GO:0032774RNA biosynthetic process0.0460031566354788
GO:0048523negative regulation of cellular process0.0460031566354788
GO:0043170macromolecule metabolic process0.0460031566354788
GO:0048519negative regulation of biological process0.0460031566354788
GO:0006350transcription0.0460031566354788
GO:0016481negative regulation of transcription0.0460031566354788
GO:0050789regulation of biological process0.0460031566354788
GO:0045934negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process0.0460031566354788
GO:0016251general RNA polymerase II transcription factor activity0.0460031566354788
GO:0007205protein kinase C activation0.0465929420968227
GO:0031324negative regulation of cellular metabolic process0.0480820316684421
GO:0016070RNA metabolic process0.0485965440168064
GO:0065007biological regulation0.0485965440168064
GO:0009892negative regulation of metabolic process0.0485965440168064
GO:0004709MAP kinase kinase kinase activity0.0485965440168064



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>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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