MCL coexpression mm9:589
From FANTOM5_SSTAR
Phase1 CAGE Peaks
Short description | |
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Mm9::chr10:12684247..12684278,- | p3@Stx11 |
Mm9::chr11:70265457..70265476,+ | p2@Med11 |
Mm9::chr13:42147384..42147441,+ | p1@Hivep1 |
Mm9::chr19:46379199..46379301,+ | p1@Nfkb2 |
Mm9::chr19:46380172..46380231,+ | p2@Nfkb2 |
Mm9::chr19:46380235..46380277,+ | p3@Nfkb2 |
Mm9::chr1:179726582..179726645,- | p1@Adss |
Mm9::chr3:135354452..135354475,- | p5@Nfkb1 |
Mm9::chr6:140573180..140573187,- | p@chr6:140573180..140573187 - |
Mm9::chr7:20214704..20214800,- | p1@Relb |
Mm9::chr7:29551464..29551487,- | p2@Nfkbib |
Mm9::chr9:7872886..7872909,- | p3@Birc3 |
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 ID | GO name | FDR corrected p-value |
---|---|---|
GO:0048535 | lymph node development | 0.00570946332167024 |
GO:0048534 | hemopoietic or lymphoid organ development | 0.0128876724140671 |
GO:0002520 | immune system development | 0.0128876724140671 |
GO:0045083 | negative regulation of interleukin-12 biosynthetic process | 0.0130337800136663 |
GO:0006355 | regulation of transcription, DNA-dependent | 0.0130337800136663 |
GO:0002250 | adaptive immune response | 0.0130337800136663 |
GO:0002460 | adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains | 0.0130337800136663 |
GO:0006351 | transcription, DNA-dependent | 0.0130337800136663 |
GO:0032774 | RNA biosynthetic process | 0.0130337800136663 |
GO:0006139 | nucleobase, nucleoside, nucleotide and nucleic acid metabolic process | 0.0130337800136663 |
GO:0044424 | intracellular part | 0.0130337800136663 |
GO:0004019 | adenylosuccinate synthase activity | 0.0130337800136663 |
GO:0002266 | follicular dendritic cell activation | 0.0130337800136663 |
GO:0002268 | follicular dendritic cell differentiation | 0.0130337800136663 |
GO:0045449 | regulation of transcription | 0.0130337800136663 |
GO:0019219 | regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process | 0.0132348084367286 |
GO:0006350 | transcription | 0.0132348084367286 |
GO:0005622 | intracellular | 0.0132348084367286 |
GO:0050794 | regulation of cellular process | 0.0132348084367286 |
GO:0010468 | regulation of gene expression | 0.0132348084367286 |
GO:0045063 | T-helper 1 cell differentiation | 0.0137294915714405 |
GO:0031323 | regulation of cellular metabolic process | 0.0144716931784834 |
GO:0019222 | regulation of metabolic process | 0.0160142300704282 |
GO:0005484 | SNAP receptor activity | 0.0160142300704282 |
GO:0016070 | RNA metabolic process | 0.0169374732737577 |
GO:0016564 | transcription repressor activity | 0.0175102895173719 |
GO:0050789 | regulation of biological process | 0.0175102895173719 |
GO:0043011 | myeloid dendritic cell differentiation | 0.0187319398928385 |
GO:0042090 | interleukin-12 biosynthetic process | 0.0187319398928385 |
GO:0002467 | germinal center formation | 0.0187319398928385 |
GO:0045075 | regulation of interleukin-12 biosynthetic process | 0.0187319398928385 |
GO:0001773 | myeloid dendritic cell activation | 0.0187319398928385 |
GO:0045892 | negative regulation of transcription, DNA-dependent | 0.0187319398928385 |
GO:0048536 | spleen development | 0.0187319398928385 |
GO:0002294 | CD4-positive, alpha-beta T cell differentiation during immune response | 0.0187319398928385 |
GO:0002292 | T cell differentiation during immune response | 0.0187319398928385 |
GO:0042093 | T-helper cell differentiation | 0.0187319398928385 |
GO:0002285 | lymphocyte activation during immune response | 0.0187319398928385 |
GO:0042088 | T-helper 1 type immune response | 0.0187319398928385 |
GO:0002293 | alpha-beta T cell differentiation during immune response | 0.0187319398928385 |
GO:0002286 | T cell activation during immune response | 0.0187319398928385 |
GO:0065007 | biological regulation | 0.0189737725871486 |
GO:0002376 | immune system process | 0.019196031657158 |
GO:0002366 | leukocyte activation during immune response | 0.019196031657158 |
GO:0002263 | cell activation during immune response | 0.019196031657158 |
GO:0005634 | nucleus | 0.0193334072601023 |
GO:0010467 | gene expression | 0.0197681334926949 |
GO:0042036 | negative regulation of cytokine biosynthetic process | 0.0197681334926949 |
GO:0001775 | cell activation | 0.0197681334926949 |
GO:0043367 | CD4-positive, alpha beta T cell differentiation | 0.0211063835598012 |
GO:0016481 | negative regulation of transcription | 0.0213149087903502 |
GO:0003700 | transcription factor activity | 0.0213149087903502 |
GO:0032615 | interleukin-12 production | 0.0213149087903502 |
GO:0016566 | specific transcriptional repressor activity | 0.0213149087903502 |
GO:0048523 | negative regulation of cellular process | 0.0217987727723372 |
GO:0045934 | negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process | 0.0228427797082627 |
GO:0048519 | negative regulation of biological process | 0.0257071905748928 |
GO:0031324 | negative regulation of cellular metabolic process | 0.0286053142831292 |
GO:0003677 | DNA binding | 0.0286053142831292 |
GO:0043231 | intracellular membrane-bound organelle | 0.0300439899962125 |
GO:0043227 | membrane-bound organelle | 0.0300439899962125 |
GO:0000119 | mediator complex | 0.0319093911503508 |
GO:0046632 | alpha-beta T cell differentiation | 0.0319093911503508 |
GO:0009892 | negative regulation of metabolic process | 0.0323932094042333 |
GO:0006944 | membrane fusion | 0.0323932094042333 |
GO:0017148 | negative regulation of translation | 0.0357783254503515 |
GO:0005515 | protein binding | 0.0357783254503515 |
GO:0031327 | negative regulation of cellular biosynthetic process | 0.0365618912224776 |
GO:0002274 | myeloid leukocyte activation | 0.0374096624706259 |
GO:0046631 | alpha-beta T cell activation | 0.0423011722615465 |
GO:0009890 | negative regulation of biosynthetic process | 0.0430412916192999 |
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><br>
Ontology term | p-value | n |
---|---|---|
hematopoietic cell | 3.05e-09 | 32 |
hematopoietic oligopotent progenitor cell | 3.05e-09 | 32 |
hematopoietic stem cell | 3.05e-09 | 32 |
angioblastic mesenchymal cell | 3.05e-09 | 32 |
hematopoietic multipotent progenitor cell | 3.05e-09 | 32 |
connective tissue cell | 1.62e-08 | 46 |
mesenchymal cell | 1.62e-08 | 46 |
motile cell | 1.90e-08 | 54 |
leukocyte | 1.37e-07 | 17 |
nongranular leukocyte | 1.37e-07 | 17 |
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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{{{tfbs_overrepresentation_jaspar}}} |