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Coexpression cluster:C1185

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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 IDGO nameFDR corrected p-value
GO:0043016regulation of lymphotoxin A biosynthetic process0.00239759062769123
GO:0043017positive regulation of lymphotoxin A biosynthetic process0.00239759062769123
GO:0045630positive regulation of T-helper 2 cell differentiation0.00239759062769123
GO:0032641lymphotoxin A production0.00239759062769123
GO:0042109lymphotoxin A biosynthetic process0.00239759062769123
GO:0045404positive regulation of interleukin-4 biosynthetic process0.00239759062769123
GO:0042097interleukin-4 biosynthetic process0.00239759062769123
GO:0045402regulation of interleukin-4 biosynthetic process0.00239759062769123
GO:0045624positive regulation of T-helper cell differentiation0.00239759062769123
GO:0045628regulation of T-helper 2 cell differentiation0.00239759062769123
GO:0032633interleukin-4 production0.00239759062769123
GO:0045064T-helper 2 cell differentiation0.00274719882404461
GO:0045622regulation of T-helper cell differentiation0.00299672360703993
GO:0002285lymphocyte activation during immune response0.00299672360703993
GO:0002293alpha-beta T cell differentiation during immune response0.00299672360703993
GO:0002294CD4-positive, alpha-beta T cell differentiation during immune response0.00299672360703993
GO:0002292T cell differentiation during immune response0.00299672360703993
GO:0042093T-helper cell differentiation0.00299672360703993
GO:0002366leukocyte activation during immune response0.00299672360703993
GO:0042092T-helper 2 type immune response0.00299672360703993
GO:0002286T cell activation during immune response0.00299672360703993
GO:0002263cell activation during immune response0.00299672360703993
GO:0043367CD4-positive, alpha beta T cell differentiation0.0030216518232285
GO:0045086positive regulation of interleukin-2 biosynthetic process0.0030216518232285
GO:0045076regulation of interleukin-2 biosynthetic process0.00376697693989987
GO:0046632alpha-beta T cell differentiation0.00376697693989987
GO:0015026coreceptor activity0.00376697693989987
GO:0042094interleukin-2 biosynthetic process0.00376697693989987
GO:0046631alpha-beta T cell activation0.00431884315484041
GO:0032623interleukin-2 production0.00461420708182391
GO:0042108positive regulation of cytokine biosynthetic process0.00844316002446495
GO:0030217T cell differentiation0.00844316002446495
GO:0045727positive regulation of translation0.0105817211871921
GO:0042035regulation of cytokine biosynthetic process0.0112936105942213
GO:0031328positive regulation of cellular biosynthetic process0.0112936105942213
GO:0030098lymphocyte differentiation0.011711202345814
GO:0042089cytokine biosynthetic process0.0117875550671227
GO:0042107cytokine metabolic process0.0117875550671227
GO:0009891positive regulation of biosynthetic process0.0118227649235901
GO:0002460adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains0.0122089120025065
GO:0002250adaptive immune response0.0122089120025065
GO:0051247positive regulation of protein metabolic process0.0133278245401661
GO:0002521leukocyte differentiation0.0137826168697267
GO:0042110T cell activation0.0146649241795027
GO:0001816cytokine production0.0165301320416057
GO:0045595regulation of cell differentiation0.0205975954769105
GO:0046649lymphocyte activation0.021695778430325
GO:0030097hemopoiesis0.022064169935319
GO:0048534hemopoietic or lymphoid organ development0.0232207415463573
GO:0045321leukocyte activation0.0232685887144564
GO:0002520immune system development0.0232685887144564
GO:0006417regulation of translation0.0232685887144564
GO:0031326regulation of cellular biosynthetic process0.0246851982290708
GO:0001775cell activation0.0254417994942434
GO:0009889regulation of biosynthetic process0.0259323005627626
GO:0008284positive regulation of cell proliferation0.0272056617714807
GO:0050793regulation of developmental process0.0272056617714807
GO:0045941positive regulation of transcription0.031588023573144
GO:0045935positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process0.0321608772250949
GO:0016563transcription activator activity0.0338034384215129
GO:0005529sugar binding0.0373172139940967
GO:0031325positive regulation of cellular metabolic process0.0386095807151983
GO:0009893positive regulation of metabolic process0.0406876863975909
GO:0051246regulation of protein metabolic process0.0432075775958719
GO:0042127regulation of cell proliferation0.0472481184952243
GO:0030246carbohydrate binding0.0474188548497282



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>

Cell Type
Ontology termp-valuen
hematopoietic stem cell1.01e-77172
angioblastic mesenchymal cell1.01e-77172
hematopoietic cell3.63e-75182
hematopoietic oligopotent progenitor cell2.36e-74165
hematopoietic multipotent progenitor cell2.36e-74165
leukocyte2.85e-64140
nongranular leukocyte6.11e-58119
hematopoietic lineage restricted progenitor cell2.27e-57124
myeloid cell2.53e-41112
common myeloid progenitor2.53e-41112
lymphocyte6.84e-2953
common lymphoid progenitor6.84e-2953
granulocyte monocyte progenitor cell1.98e-2871
lymphoid lineage restricted progenitor cell6.15e-2852
macrophage dendritic cell progenitor1.95e-2765
myeloid leukocyte1.92e-2676
myeloid lineage restricted progenitor cell5.12e-2670
monopoietic cell1.03e-2563
monocyte1.03e-2563
monoblast1.03e-2563
promonocyte1.03e-2563
CD14-positive, CD16-negative classical monocyte1.59e-2442
lymphocyte of B lineage2.02e-2224
pro-B cell2.02e-2224
classical monocyte8.55e-2245
B cell1.01e-1314
mesenchymal cell1.12e-12358
connective tissue cell1.19e-11365
dendritic cell3.94e-1010
conventional dendritic cell7.87e-098
mature alpha-beta T cell3.25e-0818
alpha-beta T cell3.25e-0818
immature T cell3.25e-0818
mature T cell3.25e-0818
immature alpha-beta T cell3.25e-0818
motile cell3.26e-08390
T cell8.46e-0825
pro-T cell8.46e-0825
CD8-positive, alpha-beta T cell3.98e-0711
Uber Anatomy
Ontology termp-valuen
hematopoietic system1.44e-37102
blood island1.44e-37102
hemolymphoid system5.36e-34112
bone marrow5.38e-2580
bone element1.22e-2186
immune system1.81e-18115
adult organism4.93e-17115
skeletal element7.87e-16101
skeletal system7.87e-16101
blood9.27e-1115
haemolymphatic fluid9.27e-1115
organism substance9.27e-1115
connective tissue1.17e-10375
lateral plate mesoderm6.75e-07216
Disease
Ontology termp-valuen
hematologic cancer1.93e-1451
immune system cancer1.93e-1451
leukemia6.59e-1139
myeloid leukemia1.03e-1031


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.

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