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MCL coexpression mm9:1761

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Phase1 CAGE Peaks

 Short description
Mm9::chr2:105522351..105522362,+p19@Pax6
Mm9::chr4:97248379..97248387,+p29@Nfia
Mm9::chr4:97248473..97248496,+p16@Nfia
Mm9::chr4:97248607..97248649,+p15@Nfia
Mm9::chr4:97248652..97248671,+p19@Nfia


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:0021902commitment of a neuronal cell to a specific type of neuron in the forebrain0.0076699720593875
GO:0021877forebrain neuron fate commitment0.0076699720593875
GO:0009950dorsal/ventral axis specification0.0131467225601383
GO:0021798forebrain dorsal/ventral pattern formation0.0131467225601383
GO:0022612gland morphogenesis0.0131467225601383
GO:0021871forebrain regionalization0.0131467225601383
GO:0007435salivary gland morphogenesis0.0131467225601383
GO:0021879forebrain neuron differentiation0.0134202449153837
GO:0021872generation of neurons in the forebrain0.013632891141377
GO:0007431salivary gland development0.0145258107822522
GO:0021543pallium development0.0145258107822522
GO:0035272exocrine system development0.0145258107822522
GO:0042462eye photoreceptor cell development0.0145258107822522
GO:0045665negative regulation of neuron differentiation0.0145258107822522
GO:0001754eye photoreceptor cell differentiation0.0145258107822522
GO:0009798axis specification0.0145258107822522
GO:0042461photoreceptor cell development0.0145258107822522
GO:0003700transcription factor activity0.0145258107822522
GO:0021983pituitary gland development0.0145258107822522
GO:0021536diencephalon development0.0146346514277602
GO:0048663neuron fate commitment0.0146346514277602
GO:0046530photoreceptor cell differentiation0.0146346514277602
GO:0021537telencephalon development0.0153302789118187
GO:0001709cell fate determination0.0153302789118187
GO:0045664regulation of neuron differentiation0.0165553396912625
GO:0009953dorsal/ventral pattern formation0.0244021728980764
GO:0048592eye morphogenesis0.0244021728980764
GO:0050767regulation of neurogenesis0.0246237656104948
GO:0035270endocrine system development0.0253575616195415
GO:0030334regulation of cell migration0.0265520884597201
GO:0001764neuron migration0.0271757694889063
GO:0051270regulation of cell motility0.0282380840094746
GO:0040012regulation of locomotion0.0292356083395701
GO:0048732gland development0.032466382107537
GO:0043010camera-type eye development0.032466382107537
GO:0007411axon guidance0.032466382107537
GO:0045596negative regulation of cell differentiation0.032466382107537
GO:0006355regulation of transcription, DNA-dependent0.032466382107537
GO:0006351transcription, DNA-dependent0.032466382107537
GO:0032774RNA biosynthetic process0.032466382107537
GO:0003677DNA binding0.032466382107537
GO:0009952anterior/posterior pattern formation0.032466382107537
GO:0045449regulation of transcription0.032466382107537
GO:0030900forebrain development0.032466382107537
GO:0045165cell fate commitment0.032466382107537
GO:0019219regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process0.032466382107537
GO:0006350transcription0.032466382107537
GO:0001654eye development0.032466382107537
GO:0051093negative regulation of developmental process0.032466382107537
GO:0010468regulation of gene expression0.0336349202078334
GO:0008285negative regulation of cell proliferation0.0350469293638884
GO:0031323regulation of cellular metabolic process0.0350469293638884
GO:0019222regulation of metabolic process0.036975482139595
GO:0006260DNA replication0.0375366993120028
GO:0016070RNA metabolic process0.0375366993120028
GO:0003002regionalization0.0401063015480455
GO:0045595regulation of cell differentiation0.0405594831052453
GO:0007409axonogenesis0.0405594831052453
GO:0048667neuron morphogenesis during differentiation0.041488573222029
GO:0048812neurite morphogenesis0.041488573222029
GO:0007420brain development0.0450598351751236
GO:0000904cellular morphogenesis during differentiation0.0450598351751236
GO:0007423sensory organ development0.0450598351751236
GO:0010467gene expression0.0455415637886521
GO:0031175neurite development0.0455415637886521
GO:0045944positive regulation of transcription from RNA polymerase II promoter0.0455415637886521
GO:0003676nucleic acid binding0.0462836843525849
GO:0048666neuron development0.0488857145340564



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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