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MCL coexpression mm9:165

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Phase1 CAGE Peaks

 Short description
Mm9::chr10:92798965..92798984,+p1@Gm17745
Mm9::chr11:103273968..103273980,-p2@Plekhm1
Mm9::chr11:77614793..77614823,+p3@Myo18a
Mm9::chr11:79337262..79337263,-p10@Evi2b
Mm9::chr13:49404567..49404583,-p5@Fgd3
Mm9::chr13:52678433..52678446,+p12@Syk
Mm9::chr13:52678451..52678492,+p4@Syk
Mm9::chr13:52678619..52678631,+p18@Syk
Mm9::chr13:52678701..52678720,+p14@Syk
Mm9::chr13:52678821..52678843,+p5@Syk
Mm9::chr13:52728696..52728706,+p@chr13:52728696..52728706
+
Mm9::chr14:33938461..33938465,-p@chr14:33938461..33938465
-
Mm9::chr14:33998675..33998743,-p1@Wdfy4
Mm9::chr14:51748714..51748725,+p4@Rnase6
Mm9::chr14:75629427..75629455,+p@chr14:75629427..75629455
+
Mm9::chr15:103284213..103284291,+p1@Nckap1l
Mm9::chr15:78075450..78075481,+p3@Ncf4
Mm9::chr17:36157473..36157515,-p1@H2-T24
p1@LOC100045444
Mm9::chr17:51133002..51133013,-p@chr17:51133002..51133013
-
Mm9::chr17:84247227..84247263,-p@chr17:84247227..84247263
-
Mm9::chr17:84580956..84580994,+p@chr17:84580956..84580994
+
Mm9::chr18:31919471..31919505,+p3@Ammecr1l
Mm9::chr19:10651929..10651951,+p1@Cybasc3
Mm9::chr19:10651971..10651982,+p2@Cybasc3
Mm9::chr19:4201591..4201623,-p1@Rad9
Mm9::chr1:130488861..130488884,-p1@Cxcr4
Mm9::chr1:154654957..154655006,+p1@Ncf2
Mm9::chr1:154655007..154655028,+p3@Ncf2
Mm9::chr1:157882522..157882561,+p5@Tor1aip2
Mm9::chr1:157883021..157883066,-p2@Tor1aip1
Mm9::chr1:37552967..37553001,-p4@Mgat4a
Mm9::chr1:58852215..58852291,+p1@Casp8
Mm9::chr1:89516909..89516976,+p1@Inpp5d
Mm9::chr2:112106551..112106561,+p11@Slc12a6
Mm9::chr2:112106613..112106661,+p6@Slc12a6
Mm9::chr2:118554262..118554280,-p5@Plcb2
Mm9::chr2:120230452..120230482,+p3@Ganc
Mm9::chr3:106592921..106592946,-p2@Cd53
Mm9::chr3:60276984..60277005,+p2@Mbnl1
Mm9::chr4:135451329..135451391,+p1@Cnr2
Mm9::chr4:3605224..3605249,+p2@Gm11787
p2@Lyn
Mm9::chr4:3605255..3605281,+p1@Gm11787
p1@Lyn
Mm9::chr5:122659857..122659923,+p1@Hvcn1
Mm9::chr5:86500759..86500781,+p1@Stap1
Mm9::chr6:124683039..124683050,-p6@Ptpn6
Mm9::chr6:145070358..145070366,+p7@Lrmp
Mm9::chr7:124524451..124524506,+p1@Xylt1
Mm9::chr7:133848036..133848056,-p4@Coro1a
Mm9::chr7:20163377..20163392,-p@chr7:20163377..20163392
-
Mm9::chr7:20163393..20163408,-p@chr7:20163393..20163408
-
Mm9::chr7:52490832..52490848,-p10@Cd37
Mm9::chr7:52494164..52494234,-p1@Cd37
Mm9::chr7:82846851..82846900,+p2@Akap13
Mm9::chr8:120022172..120022191,+p1@Plcg2
Mm9::chr8:120022193..120022218,+p2@Plcg2
Mm9::chr8:125394506..125394522,+p2@uc009ntw.1
Mm9::chr8:3353609..3353620,+p5@A430078G23Rik
Mm9::chr8:49033713..49033727,-p@chr8:49033713..49033727
-
Mm9::chr8:68992926..68992931,+p@chr8:68992926..68992931
+
Mm9::chr8:87225329..87225396,+p1@Lyl1
Mm9::chr9:32348943..32349001,-p1@Fli1
Mm9::chr9:57492932..57492943,-p5@Csk
Mm9::chr9:57492961..57492987,-p3@Csk
Mm9::chr9:57492995..57493014,-p2@Csk
Mm9::chrX:131090671..131090672,-p@chrX:131090671..131090672
-
Mm9::chrX:131117653..131117688,-p1@Btk
Mm9::chrX:83115560..83115590,+p2@5430427O19Rik


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:0045579positive regulation of B cell differentiation0.0229382452089853
GO:0004715non-membrane spanning protein tyrosine kinase activity0.0229382452089853
GO:0007242intracellular signaling cascade0.025854791355854
GO:0045577regulation of B cell differentiation0.025854791355854
GO:0045621positive regulation of lymphocyte differentiation0.0357557661754232
GO:0032943mononuclear cell proliferation0.0357557661754232
GO:0046651lymphocyte proliferation0.0357557661754232
GO:0002376immune system process0.0357557661754232
GO:0046649lymphocyte activation0.0357557661754232
GO:0051249regulation of lymphocyte activation0.0357557661754232
GO:0005737cytoplasm0.0357557661754232
GO:0050865regulation of cell activation0.0357557661754232
GO:0045321leukocyte activation0.0357557661754232
GO:0030097hemopoiesis0.0357557661754232
GO:0030099myeloid cell differentiation0.0357557661754232
GO:0045619regulation of lymphocyte differentiation0.0357557661754232
GO:0001775cell activation0.0357557661754232
GO:0050871positive regulation of B cell activation0.0357557661754232
GO:0048534hemopoietic or lymphoid organ development0.0357557661754232
GO:0002520immune system development0.0357557661754232
GO:0008375acetylglucosaminyltransferase activity0.0357557661754232
GO:0042110T cell activation0.0357557661754232
GO:0045588positive regulation of gamma-delta T cell differentiation0.0357557661754232
GO:0046643regulation of gamma-delta T cell activation0.0357557661754232
GO:003068690S preribosome0.0357557661754232
GO:0030690Noc1p-Noc2p complex0.0357557661754232
GO:0046645positive regulation of gamma-delta T cell activation0.0357557661754232
GO:0045659negative regulation of neutrophil differentiation0.0357557661754232
GO:0045586regulation of gamma-delta T cell differentiation0.0357557661754232
GO:0030171voltage-gated proton channel activity0.0357557661754232
GO:0045658regulation of neutrophil differentiation0.0357557661754232
GO:0005521lamin binding0.0357557661754232
GO:0030852regulation of granulocyte differentiation0.0357557661754232
GO:0030687nucleolar preribosome, large subunit precursor0.0357557661754232
GO:0030853negative regulation of granulocyte differentiation0.0357557661754232
GO:0045409negative regulation of interleukin-6 biosynthetic process0.0357557661754232
GO:00003343-hydroxyanthranilate 3,4-dioxygenase activity0.0357557661754232
GO:0030689Noc complex0.0357557661754232
GO:0045656negative regulation of monocyte differentiation0.0357557661754232
GO:0045655regulation of monocyte differentiation0.0357557661754232
GO:0002521leukocyte differentiation0.0389229665753655
GO:0030183B cell differentiation0.0393318142679435
GO:0050864regulation of B cell activation0.0428888017035016
GO:0002573myeloid leukocyte differentiation0.0488960027584729



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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