Coexpression cluster:C1185
From FANTOM5_SSTAR
Full id: C1185_splenic_myeloma_lymphoma_immature_acute_CD19_Burkitt
Phase1 CAGE Peaks
Hg19::chr12:9885606..9885619,- | p4@CLECL1 |
Hg19::chr12:9885630..9885668,- | p2@CLECL1 |
Hg19::chr12:9885678..9885698,- | p3@CLECL1 |
Hg19::chr12:9885702..9885717,- | p5@CLECL1 |
Hg19::chr12:9885767..9885808,- | p1@CLECL1 |
Hg19::chr3:121796686..121796695,+ | p6@CD86 |
Hg19::chr3:121796697..121796747,+ | p2@CD86 |
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
No results for this coexpression
Enriched Gene Ontology terms on this co-expression cluster<b>Summary:</b> Results for GOStat analysis on co-expressed clusters. Each cluster with promoters mapping to at least two different genes was analysed with GOStat (PMID: 14962934) with default parameter. <br><b>Analyst:</b> Erik Arner<br><br>link to source dataset<br>data
GO ID | GO name | FDR corrected p-value |
---|---|---|
GO:0043016 | regulation of lymphotoxin A biosynthetic process | 0.00239759062769123 |
GO:0043017 | positive regulation of lymphotoxin A biosynthetic process | 0.00239759062769123 |
GO:0045630 | positive regulation of T-helper 2 cell differentiation | 0.00239759062769123 |
GO:0032641 | lymphotoxin A production | 0.00239759062769123 |
GO:0042109 | lymphotoxin A biosynthetic process | 0.00239759062769123 |
GO:0045404 | positive regulation of interleukin-4 biosynthetic process | 0.00239759062769123 |
GO:0042097 | interleukin-4 biosynthetic process | 0.00239759062769123 |
GO:0045402 | regulation of interleukin-4 biosynthetic process | 0.00239759062769123 |
GO:0045624 | positive regulation of T-helper cell differentiation | 0.00239759062769123 |
GO:0045628 | regulation of T-helper 2 cell differentiation | 0.00239759062769123 |
GO:0032633 | interleukin-4 production | 0.00239759062769123 |
GO:0045064 | T-helper 2 cell differentiation | 0.00274719882404461 |
GO:0045622 | regulation of T-helper cell differentiation | 0.00299672360703993 |
GO:0002285 | lymphocyte activation during immune response | 0.00299672360703993 |
GO:0002293 | alpha-beta T cell differentiation during immune response | 0.00299672360703993 |
GO:0002294 | CD4-positive, alpha-beta T cell differentiation during immune response | 0.00299672360703993 |
GO:0002292 | T cell differentiation during immune response | 0.00299672360703993 |
GO:0042093 | T-helper cell differentiation | 0.00299672360703993 |
GO:0002366 | leukocyte activation during immune response | 0.00299672360703993 |
GO:0042092 | T-helper 2 type immune response | 0.00299672360703993 |
GO:0002286 | T cell activation during immune response | 0.00299672360703993 |
GO:0002263 | cell activation during immune response | 0.00299672360703993 |
GO:0043367 | CD4-positive, alpha beta T cell differentiation | 0.0030216518232285 |
GO:0045086 | positive regulation of interleukin-2 biosynthetic process | 0.0030216518232285 |
GO:0045076 | regulation of interleukin-2 biosynthetic process | 0.00376697693989987 |
GO:0046632 | alpha-beta T cell differentiation | 0.00376697693989987 |
GO:0015026 | coreceptor activity | 0.00376697693989987 |
GO:0042094 | interleukin-2 biosynthetic process | 0.00376697693989987 |
GO:0046631 | alpha-beta T cell activation | 0.00431884315484041 |
GO:0032623 | interleukin-2 production | 0.00461420708182391 |
GO:0042108 | positive regulation of cytokine biosynthetic process | 0.00844316002446495 |
GO:0030217 | T cell differentiation | 0.00844316002446495 |
GO:0045727 | positive regulation of translation | 0.0105817211871921 |
GO:0042035 | regulation of cytokine biosynthetic process | 0.0112936105942213 |
GO:0031328 | positive regulation of cellular biosynthetic process | 0.0112936105942213 |
GO:0030098 | lymphocyte differentiation | 0.011711202345814 |
GO:0042089 | cytokine biosynthetic process | 0.0117875550671227 |
GO:0042107 | cytokine metabolic process | 0.0117875550671227 |
GO:0009891 | positive regulation of biosynthetic process | 0.0118227649235901 |
GO:0002460 | adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains | 0.0122089120025065 |
GO:0002250 | adaptive immune response | 0.0122089120025065 |
GO:0051247 | positive regulation of protein metabolic process | 0.0133278245401661 |
GO:0002521 | leukocyte differentiation | 0.0137826168697267 |
GO:0042110 | T cell activation | 0.0146649241795027 |
GO:0001816 | cytokine production | 0.0165301320416057 |
GO:0045595 | regulation of cell differentiation | 0.0205975954769105 |
GO:0046649 | lymphocyte activation | 0.021695778430325 |
GO:0030097 | hemopoiesis | 0.022064169935319 |
GO:0048534 | hemopoietic or lymphoid organ development | 0.0232207415463573 |
GO:0045321 | leukocyte activation | 0.0232685887144564 |
GO:0002520 | immune system development | 0.0232685887144564 |
GO:0006417 | regulation of translation | 0.0232685887144564 |
GO:0031326 | regulation of cellular biosynthetic process | 0.0246851982290708 |
GO:0001775 | cell activation | 0.0254417994942434 |
GO:0009889 | regulation of biosynthetic process | 0.0259323005627626 |
GO:0008284 | positive regulation of cell proliferation | 0.0272056617714807 |
GO:0050793 | regulation of developmental process | 0.0272056617714807 |
GO:0045941 | positive regulation of transcription | 0.031588023573144 |
GO:0045935 | positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process | 0.0321608772250949 |
GO:0016563 | transcription activator activity | 0.0338034384215129 |
GO:0005529 | sugar binding | 0.0373172139940967 |
GO:0031325 | positive regulation of cellular metabolic process | 0.0386095807151983 |
GO:0009893 | positive regulation of metabolic process | 0.0406876863975909 |
GO:0051246 | regulation of protein metabolic process | 0.0432075775958719 |
GO:0042127 | regulation of cell proliferation | 0.0472481184952243 |
GO:0030246 | carbohydrate binding | 0.0474188548497282 |
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>
Ontology term | p-value | n |
---|
Ontology term | p-value | n |
---|
Ontology term | p-value | n |
---|
Overrepresented TFBS (DNA) motifs on this co-expression cluster<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) |
---|---|
{{{tfbs_overrepresentation_jaspar}}} |
ENCODE TF ChIP-seq peak enrichment analysis<b>Summary:</b> For each TF and each co-expression cluster, the number of promoters with ENCODE TF ChIP signal was compared with the rest of promoters from the robust set using Fisher's exact test. Clusters with significant ChIP enrichment (q <= 0.05) after Benjamini-Hochberg correction were retained. <br><b>Analyst:</b> Erik Arner<br><br>link to source dataset<br><br>data
No analysis results for this cluster
Relative expression of the co-expression cluster<b>Summary:</b>Co-expression clusters are compared against FANTOM5 samples to obtain relative expression. <br><b>Analyst:</b>NA<br><br>link to data source<br> data
This analysis result is provided for C0 - C305 clusters.