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Coexpression cluster:C175

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Full id: C175_Eosinophils_Neutrophils_CD4_Basophils_CD19_CD8_Natural



Phase1 CAGE Peaks

Hg19::chr10:64893130..64893144,+p2@NRBF2
Hg19::chr10:65028938..65028989,-p1@JMJD1C
Hg19::chr10:65028994..65029018,-p2@JMJD1C
Hg19::chr10:74033760..74033769,+p2@DDIT4
Hg19::chr10:99079008..99079060,+p1@FRAT1
Hg19::chr11:118740871..118740882,-p@chr11:118740871..118740882
-
Hg19::chr11:18655879..18655901,-p1@SPTY2D1
Hg19::chr11:65192718..65192744,-p@chr11:65192718..65192744
-
Hg19::chr11:67055986..67056054,+p2@ANKRD13D
Hg19::chr12:104850711..104850737,+p3@CHST11
Hg19::chr12:106696652..106696665,+p4@TCP11L2
Hg19::chr12:32112161..32112179,+p6@C12orf35
Hg19::chr12:8113506..8113536,+p@chr12:8113506..8113536
+
Hg19::chr12:8179195..8179208,-p@chr12:8179195..8179208
-
Hg19::chr13:48807931..48807969,-p2@AK308603
Hg19::chr14:102227782..102227817,-p@chr14:102227782..102227817
-
Hg19::chr14:39900808..39900830,+p@chr14:39900808..39900830
+
Hg19::chr14:39901341..39901359,-p3@FBXO33
Hg19::chr14:39901360..39901381,-p1@FBXO33
Hg19::chr14:65569101..65569119,-p3@MAX
Hg19::chr14:71374433..71374453,+p4@PCNX
Hg19::chr15:59226114..59226145,-p23@SLTM
Hg19::chr16:19079327..19079354,+p6@COQ7
Hg19::chr16:28153289..28153320,-p@chr16:28153289..28153320
-
Hg19::chr17:1419878..1419912,-p1@INPP5K
Hg19::chr17:44270777..44270806,-p@chr17:44270777..44270806
-
Hg19::chr17:5487779..5487837,-p1@NLRP1
Hg19::chr17:60142609..60142657,-p1@MED13
Hg19::chr17:61776859..61776879,+p@chr17:61776859..61776879
+
Hg19::chr18:2655551..2655594,-p1@CBX3P2
Hg19::chr18:29672617..29672669,+p2@RNF138
Hg19::chr18:29672676..29672696,+p4@RNF138
Hg19::chr18:3593927..3593946,-p@chr18:3593927..3593946
-
Hg19::chr18:9136427..9136477,-p@chr18:9136427..9136477
-
Hg19::chr19:10381663..10381700,-p@chr19:10381663..10381700
-
Hg19::chr19:14629224..14629262,-p2@DNAJB1
Hg19::chr19:42772659..42772716,+p@chr19:42772659..42772716
+
Hg19::chr19:909481..909504,+p@chr19:909481..909504
+
Hg19::chr1:153895251..153895342,-p2@GATAD2B
Hg19::chr1:212459184..212459282,+p3@PPP2R5A
Hg19::chr1:235491168..235491187,-p3@ARID4B
Hg19::chr1:25573937..25573953,-p1@C1orf63
Hg19::chr1:38019843..38019859,-p2@SNIP1
Hg19::chr1:65432171..65432252,-p1@JAK1
Hg19::chr20:34359708..34359736,-p@chr20:34359708..34359736
-
Hg19::chr20:42839378..42839477,-p1@C20orf111
Hg19::chr20:43595119..43595220,+p1@STK4
Hg19::chr20:47835996..47836021,+p3@DDX27
Hg19::chr20:5591546..5591563,-p3@GPCPD1
Hg19::chr20:57227361..57227387,-p@chr20:57227361..57227387
-
Hg19::chr21:42734309..42734343,-p@chr21:42734309..42734343
-
Hg19::chr21:45432174..45432254,+p1@TRAPPC10
Hg19::chr22:39097167..39097175,+p@chr22:39097167..39097175
+
Hg19::chr22:41488590..41488631,+p2@EP300
Hg19::chr22:42177091..42177105,-p@chr22:42177091..42177105
-
Hg19::chr22:42177363..42177403,+p1@MEI1
Hg19::chr2:136875712..136875725,-p1@CXCR4
Hg19::chr2:158296532..158296549,-p@chr2:158296532..158296549
-
Hg19::chr2:158300556..158300612,-p1@CYTIP
Hg19::chr2:174828545..174828644,-p1@SP3
Hg19::chr2:197036269..197036287,-p2@STK17B
Hg19::chr2:197036289..197036314,-p1@STK17B
Hg19::chr2:197076072..197076125,-p@chr2:197076072..197076125
-
Hg19::chr2:198318223..198318283,+p1@COQ10B
Hg19::chr2:201980867..201980923,+p1@CFLAR
Hg19::chr2:28974354..28974386,-p@chr2:28974354..28974386
-
Hg19::chr2:30369807..30369847,+p2@YPEL5
Hg19::chr2:70313796..70313812,-p8@PCBP1-AS1
Hg19::chr3:12705793..12705819,+p@chr3:12705793..12705819
+
Hg19::chr3:16926464..16926475,+p5@PLCL2
Hg19::chr3:169491091..169491164,-p@chr3:169491091..169491164
-
Hg19::chr3:195270131..195270160,-p1@PPP1R2
Hg19::chr3:43328024..43328095,+p1@SNRK
Hg19::chr3:63898321..63898396,+p3@ATXN7
Hg19::chr4:153457197..153457268,-p@chr4:153457197..153457268
-
Hg19::chr4:38665659..38665670,+p6@KLF3
Hg19::chr4:38665703..38665713,+p5@KLF3
Hg19::chr4:38665769..38665801,+p2@KLF3
Hg19::chr4:38665810..38665827,+p1@KLF3
Hg19::chr4:77997242..77997264,+p@chr4:77997242..77997264
+
Hg19::chr5:108745515..108745519,-p7@PJA2
Hg19::chr5:130599735..130599802,+p1@CDC42SE2
Hg19::chr5:171601789..171601804,-p@chr5:171601789..171601804
-
Hg19::chr5:172197625..172197630,+p@chr5:172197625..172197630
+
Hg19::chr5:75698832..75698887,+p4@IQGAP2
Hg19::chr6:15249128..15249177,+p4@JARID2
Hg19::chr6:159466136..159466147,-p5@TAGAP
Hg19::chr6:17706978..17707056,-p2@NUP153
Hg19::chr6:42750780..42750792,+p1@FLJ38717
Hg19::chr7:130791019..130791085,+p@chr7:130791019..130791085
+
Hg19::chr7:32931196..32931212,-p2@KBTBD2
Hg19::chr7:44613636..44613679,+p@chr7:44613636..44613679
+
Hg19::chr7:99097863..99097936,-p1@ZNF394
Hg19::chr8:125487084..125487163,+p1@RNF139
Hg19::chr8:23315131..23315183,-p1@ENTPD4
Hg19::chr8:42010083..42010104,-p2@LOC728445
Hg19::chr8:67579374..67579416,-p3@VCPIP1
Hg19::chr9:117147885..117147913,+p@chr9:117147885..117147913
+
Hg19::chrX:40945032..40945116,+p2@USP9X
Hg19::chrX:44732481..44732492,+p4@KDM6A


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

p.valueFDRnGenesnPathwayName
3.29309746147737e-050.01042265346557596295IL-2 down reg. targets (Netpath):NetPath_14
3.22276158462554e-050.0104226534655759487{SP1,88} (Static Module):NA



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:0043231intracellular membrane-bound organelle2.00929791310734e-05
GO:0043227membrane-bound organelle2.00929791310734e-05
GO:0044424intracellular part2.00929791310734e-05
GO:0005634nucleus2.23850107378566e-05
GO:0050789regulation of biological process2.36490426387637e-05
GO:0050794regulation of cellular process2.36490426387637e-05
GO:0005622intracellular4.0132310206678e-05
GO:0005515protein binding6.14241783218931e-05
GO:0043229intracellular organelle6.14241783218931e-05
GO:0043226organelle6.14241783218931e-05
GO:0065007biological regulation0.000114041797104917
GO:0008219cell death0.000114041797104917
GO:0016265death0.000114041797104917
GO:0043283biopolymer metabolic process0.000200635873300654
GO:0007243protein kinase cascade0.00039507661929914
GO:0006915apoptosis0.000544550867032678
GO:0012501programmed cell death0.000544550867032678
GO:0048468cell development0.00100894717394533
GO:0043170macromolecule metabolic process0.0016171534722155
GO:0007165signal transduction0.00163563275083118
GO:0006512ubiquitin cycle0.00233480609996001
GO:0048869cellular developmental process0.0025960305645621
GO:0030154cell differentiation0.0025960305645621
GO:0044238primary metabolic process0.0025960305645621
GO:0043687post-translational protein modification0.0029134465650679
GO:0007242intracellular signaling cascade0.00462050747171611
GO:0007154cell communication0.00505811137582919
GO:0008134transcription factor binding0.00553116473850967
GO:0006355regulation of transcription, DNA-dependent0.00593178786824636
GO:0044237cellular metabolic process0.00593178786824636
GO:0043065positive regulation of apoptosis0.00661195532487194
GO:0006351transcription, DNA-dependent0.00661195532487194
GO:0032774RNA biosynthetic process0.00661195532487194
GO:0043068positive regulation of programmed cell death0.00661195532487194
GO:0006350transcription0.00702630858840345
GO:0010468regulation of gene expression0.00767206357890407
GO:0046966thyroid hormone receptor binding0.00809067641426571
GO:0018193peptidyl-amino acid modification0.00874997488750814
GO:0006464protein modification process0.00970417535690027
GO:0045449regulation of transcription0.00978470602682331
GO:0031323regulation of cellular metabolic process0.00978470602682331
GO:0016563transcription activator activity0.0105269427212639
GO:0019219regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process0.01070744314417
GO:0043412biopolymer modification0.0120346947535803
GO:0032502developmental process0.0140057100823751
GO:0001667ameboidal cell migration0.0145462930256289
GO:0046048UDP metabolic process0.0145462930256289
GO:0009195pyrimidine ribonucleoside diphosphate catabolic process0.0145462930256289
GO:0009140pyrimidine nucleoside diphosphate catabolic process0.0145462930256289
GO:0009222pyrimidine ribonucleotide catabolic process0.0145462930256289
GO:0009193pyrimidine ribonucleoside diphosphate metabolic process0.0145462930256289
GO:0006256UDP catabolic process0.0145462930256289
GO:0045134uridine-diphosphatase activity0.0145462930256289
GO:0032027myosin light chain binding0.0145462930256289
GO:0019222regulation of metabolic process0.0153136016538708
GO:0016070RNA metabolic process0.0153136016538708
GO:0048522positive regulation of cellular process0.0160668303072055
GO:0001666response to hypoxia0.0190343299892699
GO:0003713transcription coactivator activity0.0197477665414595
GO:0035257nuclear hormone receptor binding0.0241535730739225
GO:0044464cell part0.0241535730739225
GO:0051427hormone receptor binding0.0241535730739225
GO:0048518positive regulation of biological process0.0241535730739225
GO:0042975peroxisome proliferator activated receptor binding0.0241535730739225
GO:0009191ribonucleoside diphosphate catabolic process0.0241535730739225
GO:0006917induction of apoptosis0.0251404959497479
GO:0012502induction of programmed cell death0.0251404959497479
GO:0018076N-terminal peptidyl-lysine acetylation0.0326867856542673
GO:0006244pyrimidine nucleotide catabolic process0.0326867856542673
GO:0047756chondroitin 4-sulfotransferase activity0.0326867856542673
GO:0018394peptidyl-lysine acetylation0.0326867856542673
GO:0009134nucleoside diphosphate catabolic process0.0326867856542673
GO:0044260cellular macromolecule metabolic process0.0406855338775701
GO:0019888protein phosphatase regulator activity0.0406855338775701
GO:0009185ribonucleoside diphosphate metabolic process0.041023657906431
GO:0005131growth hormone receptor binding0.041023657906431
GO:0019208phosphatase regulator activity0.041023657906431
GO:0005737cytoplasm0.0477724148508908
GO:0017110nucleoside-diphosphatase activity0.0477724148508908
GO:0001537N-acetylgalactosamine 4-O-sulfotransferase activity0.0477724148508908
GO:0008045motor axon guidance0.0477724148508908
GO:0004718Janus kinase activity0.0477724148508908
GO:0042981regulation of apoptosis0.048462135687202
GO:0043067regulation of programmed cell death0.0496535213762199



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>

Cell Type
Ontology termp-valuen
leukocyte5.56e-61136
hematopoietic stem cell3.20e-55168
angioblastic mesenchymal cell3.20e-55168
hematopoietic oligopotent progenitor cell1.24e-50161
hematopoietic multipotent progenitor cell1.24e-50161
hematopoietic lineage restricted progenitor cell2.10e-50120
hematopoietic cell5.10e-50177
nongranular leukocyte2.13e-47115
myeloid leukocyte1.26e-3172
myeloid cell1.29e-27108
common myeloid progenitor1.29e-27108
granulocyte monocyte progenitor cell3.50e-2767
myeloid lineage restricted progenitor cell1.92e-2666
classical monocyte5.28e-2642
CD14-positive, CD16-negative classical monocyte5.28e-2642
macrophage dendritic cell progenitor3.04e-2461
defensive cell5.02e-2448
phagocyte5.02e-2448
monopoietic cell3.19e-2359
monocyte3.19e-2359
monoblast3.19e-2359
promonocyte3.19e-2359
nucleate cell9.67e-2255
lymphoid lineage restricted progenitor cell1.94e-2152
lymphocyte5.53e-2153
common lymphoid progenitor5.53e-2153
mature alpha-beta T cell9.90e-1318
alpha-beta T cell9.90e-1318
immature T cell9.90e-1318
mature T cell9.90e-1318
immature alpha-beta T cell9.90e-1318
T cell1.49e-1225
pro-T cell1.49e-1225
mesenchymal cell4.23e-09354
lymphocyte of B lineage3.22e-0824
pro-B cell3.22e-0824
CD8-positive, alpha-beta T cell4.86e-0811
connective tissue cell4.91e-08361
stuff accumulating cell8.74e-0887
granulocyte1.25e-078
intermediate monocyte3.83e-079
CD14-positive, CD16-positive monocyte3.83e-079
B cell4.60e-0714
Uber Anatomy
Ontology termp-valuen
hematopoietic system6.84e-3398
blood island6.84e-3398
hemolymphoid system2.33e-29108
bone marrow1.40e-2276
immune system2.31e-2293
bone element1.08e-2082
skeletal element1.33e-1790
adult organism4.03e-16114
skeletal system3.26e-14100
blood2.71e-0815
haemolymphatic fluid2.71e-0815
organism substance2.71e-0815
connective tissue9.29e-08371


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)
MA0003.113.1219
MA0004.11.31717
MA0006.11.49161
MA0007.10.299179
MA0009.10.0972626
MA0014.120.3541
MA0017.10.298908
MA0019.10.53438
MA0024.10.799943
MA0025.10.951418
MA0027.11.44251
MA0028.12.2967
MA0029.10.0640916
MA0030.10.217661
MA0031.10.15933
MA0038.10.113552
MA0040.10.234816
MA0041.10.0532702
MA0042.10.0107544
MA0043.11.62059
MA0046.10.0926179
MA0048.10.763821
MA0050.10.313982
MA0051.10.40768
MA0052.10.0674782
MA0055.13.5616
MA0056.10
MA0057.14.87108
MA0058.11.51917
MA0059.10.373587
MA0060.11.86797
MA0061.10.0430997
MA0063.10
MA0066.10.239272
MA0067.10.764839
MA0068.11.27806
MA0069.10.091002
MA0070.10.0863962
MA0071.10.0272018
MA0072.10.0845816
MA0073.18.67694
MA0074.11.60481
MA0076.13.16161
MA0077.10.58486
MA0078.10.0850538
MA0081.10.73454
MA0083.10.100536
MA0084.10.419501
MA0087.10.0836032
MA0088.12.1981
MA0089.10
MA0090.10.0514286
MA0091.10.0449009
MA0092.10.14911
MA0093.11.81456
MA0095.10
MA0098.10
MA0100.10.698058
MA0101.10.069757
MA0103.10.103137
MA0105.10.438035
MA0106.10.523861
MA0107.10.122623
MA0108.20.359706
MA0109.10
MA0111.10.023071
MA0113.10.339156
MA0114.10.501238
MA0115.10.64658
MA0116.10.551514
MA0117.10.739347
MA0119.10.119788
MA0122.10.126683
MA0124.10.202128
MA0125.10.153634
MA0130.10
MA0131.12.41624
MA0132.10
MA0133.10
MA0135.10.11084
MA0136.10.674518
MA0139.15.11728
MA0140.10.0264506
MA0141.10.0741024
MA0142.10.134011
MA0143.10.0648567
MA0144.10.422342
MA0145.11.24029
MA0146.16.6701
MA0147.11.14026
MA0148.10.056872
MA0149.10.0238374
MA0062.26.17126
MA0035.20.00461492
MA0039.221.5926
MA0138.20.216544
MA0002.20.0624827
MA0137.20.376172
MA0104.22.40616
MA0047.20.14092
MA0112.20.503366
MA0065.21.30222
MA0150.10.308215
MA0151.10
MA0152.10.0852242
MA0153.10.144632
MA0154.10.413878
MA0155.10.431202
MA0156.11.18321
MA0157.10.27519
MA0158.10
MA0159.10.933937
MA0160.10.150041
MA0161.10
MA0162.110.4678
MA0163.16.47086
MA0164.10.0711627
MA0080.20.605328
MA0018.24.57744
MA0099.20.028437
MA0079.244.1918
MA0102.20.449413
MA0258.10.0733218
MA0259.12.9964
MA0442.10



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

(#promoters = Number of promoters in this coexpression cluster that have ChIP signal of the TF)

TF#promotersEnrichmentp-valueq-value
ATF3#467224.941898395721934.52899345798051e-104.40823436866753e-08
BHLHE40#8553104.487181354697748.36338657560895e-050.00125587883618983
BRCA1#672306.055269192967136.48206509114599e-161.23536568623028e-13
CCNT2#905613.865082961947211.48055951119461e-244.62958547274412e-22
CEBPB#1051332.630478716522199.03368834232657e-085.33938526759618e-06
CHD2#1106373.827288448623241.91838667119907e-132.91212769699651e-11
CTCF#10664351.876089730576268.15192580369663e-050.00123459828743079
CTCFL#140690132.567041666666670.001634192878794830.0102273172380425
E2F1#1869633.091655205373972.53989391911509e-206.54972792638174e-18
E2F4#1874263.293695681973954.37523793755356e-082.87026052110651e-06
E2F6#1876532.659092537799612.29988462341672e-133.45608129762617e-11
EBF1#1879242.137552043176560.0002395027960003650.00260692365935197
EGR1#1958633.142552829730391.05354879233456e-202.76461262117158e-18
ELF1#1997713.023249550753351.23175375566203e-233.73962588626706e-21
ELK4#2005203.247136331693612.68981593024684e-069.4142656145794e-05
EP300#2033322.167661352391421.08405238420193e-050.000281006073352358
ETS1#2113383.696929150436892.31101688740571e-133.46782029746788e-11
FOS#2353221.979550167956770.001290318428000450.00864896773647002
FOSL1#806172.779950580146110.01342672950634940.0474366294412784
FOSL2#2355233.893946139049191.55161625843908e-081.13718772221136e-06
FOXA1#3169283.102797529827934.06103716942618e-082.68097762918901e-06
GABPB1#2553483.392488241367446.77337332062742e-161.28853248858471e-13
GATA1#2623182.440855465884080.000356657915293760.00356722811869038
GTF2B#295982.555506394745940.01341797689445910.0474089139984578
GTF2F1#2962232.930122001654262.37330285080668e-068.41076947524259e-05
HDAC2#3066273.622217463889092.9923051691157e-092.51216526975301e-07
HEY1#23462813.272489944915634.69649341867548e-322.05228902156087e-29
HMGN3#9324433.516775521040751.52424656447081e-142.59691332702719e-12
IRF1#3659534.047696789388872.04592402286147e-215.5212986827811e-19
JUN#3725182.252309254620540.0009167316894437650.00667009481077172
JUNB#3726103.061063265982110.001641045572760280.0102689729522774
JUND#3727422.937758855585831.53791075711911e-111.87637688741545e-09
MAX#4149473.032701089233351.20648434528408e-131.87505979965958e-11
MXI1#4601292.88885577234021.0151248100384e-075.95610224919103e-06
MYC#4609603.133369122965642.71818229607302e-196.5260745015993e-17
NANOG#79923102.924477848101270.0022867184778710.0129787832786463
NFE2#477875.404298245614040.0003404335850190520.00346029617380095
NFKB1#4790663.622121859967931.06196970810084e-253.47683555938382e-23
NFYA#4800132.395325490977970.00298310458734810.0158785209723281
NFYB#4801142.34637105549510.002477947241668590.0139204094439581
NR3C1#2908172.545413966299420.0003288919927800390.00335113666672727
NRF1#4899232.808364272973514.82223750032897e-060.000149445003648919
PAX5#5079483.201391454965366.6613006161925e-151.16532592136437e-12
PBX3#5090224.821192791083717.16328566996639e-106.81353726853934e-08
POLR2A#5430992.125978644792497.21563982260622e-323.12694691880984e-29
POU2F2#5452494.462000788293842.83392343672019e-217.58902896942615e-19
RAD21#5885181.863906101182140.007067953101374370.0294784534944466
RDBP#793646.1455361596010.004271789853174550.0203216480129223
REST#5978323.088009189160973.39120772656025e-092.79537761447692e-07
RFX5#5993354.216768789518286.7233324272251e-141.07531104956656e-11
RXRA#6256112.208207885304660.01115971096422170.0410072849691206
SIN3A#25942663.569863919697992.48771504585144e-258.01896517511354e-23
SIRT6#5154846.1455361596010.004271789853174550.0203225737018037
SIX5#147912172.904741610428036.82161962458413e-050.00108919604337554
SMARCB1#6598183.285488840608337.85419882956911e-060.000222419921789959
SMARCC2#660165.649322465613860.0007263552538047980.00579392166440994
SMC3#9126192.858537240537242.97096671741633e-050.00061564443055604
SP1#6667583.305061199321721.4307326931881e-193.5158656880911e-17
SP2#6668102.615353049384460.005023432505485260.0234445556993643
SPI1#6688352.871513227982953.13697436304395e-092.61679285544686e-07
SREBF1#6720104.700584944048835.70720935902288e-050.000951860808442973
SRF#6722202.759435652433562.92377694852298e-050.000609615373780777
STAT1#6772132.69185637463590.001069003628057140.0075502583289822
STAT3#6774181.893503699487760.006025979231536590.0270059751528686
TAF1#6872903.008741657170763.33115134962077e-361.70540252844629e-33
TAF7#6879354.001574291723373.10324443152333e-134.59715950615411e-11
TBP#6908823.039551963419042.45123624291933e-309.96127089393978e-28
TCF12#6938353.722062715765252.49493361155037e-123.37087155830154e-10
TCF7L2#6934252.692544140784343.55040604980343e-060.000117230748477844
TFAP2A#7020162.642981499687190.0003328338837888730.00338964778049987
TFAP2C#7022293.134676296859471.71048707958504e-081.23712991762314e-06
TRIM28#10155142.602673506336750.0009404087662723470.00680727412952021
USF1#7391472.989904660287742.05668686044203e-133.10851402341107e-11
USF2#7392334.287425137072972.84639348952087e-134.25285392921416e-11
WRNIP1#5689755.49099821746880.00229471847031290.0130185291064702
YY1#7528582.848479034915241.93123855460159e-163.82001180689462e-14
ZBTB33#1000992.84982525269830.004476332892378150.0211798908597418
ZBTB7A#51341443.234840095465391.26133157086823e-131.95448379717963e-11
ZEB1#6935162.702149122807020.0002602440621345410.00279022991533408
ZNF143#7702182.430157779401020.0003759403196881740.00373469333662258
ZNF263#10127342.795426156583631.15331605152804e-088.64688981374997e-07



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

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