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pmid:34522169

Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network Analysis.

Jingni Wu · Xiaoling Fang · Xiaomeng Xia

International journal of medical sciences · 2021 doi:10.7150/ijms.63541

Paper

complete

Experiment

complete

Data

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Analysis

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absent

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pmid:34522169
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2026-11-01T15:41:51Z
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paper object · 10 fields
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title
Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network Analysis.
doi
10.7150/ijms.63541
pmid
34522169
authors array · 3 items
[0]
Jingni Wu
[1]
Xiaoling Fang
[2]
Xiaomeng Xia
journal
International journal of medical sciences
year
2021
abstract
Background: Endometriosis is a common gynecological disorder with high rates of infertility and pelvic pain. However, its pathogenesis and diagnostic biomarkers remain unclear. This study aimed to elucidate potential hub genes and key pathways associated with endometriosis in ectopic endometrium (EC) and eutopic endometrium (EU). Material and Method: EC and EU-associated microarray datasets were obtained from the gene expression omnibus (GEO) database. Gene set enrichment analysis was performed to obtain further biological insight into the EU and EC-associated genes. Weighted gene co-expression network analysis (WGCNA) was performed to find clinically significant modules of highly-correlated genes. The hub genes that belong to both the weighted gene co-expression network and protein-protein interaction (PPI) network were identified using a Venn diagram. Results: We obtained EC and EU-associated microarray datasets GSE7305 and GSE120103. Genes in the EC were mainly enriched in the immune response and immune cell trafficking, and genes in the EU were mainly enriched in stress response and steroid hormone biosynthesis. PPI networks and weighted gene co-expression networks were constructed. An EC-associated blue module and an EU-associated magenta module were identified, and their function annotations revealed that hormone receptor signaling or inflammatory microenvironments may promote EU passing through the oviducts and migrating to the ovarian surfaces, and adhesion and immune correlated genes may induce the successful ectopic implantation of the endometrium (EC). Twelve hub genes in the EC and sixteen hub genes in the EU were recognized and further validated in independent datasets. Conclusion: Our study identified, for the first time, the hub genes and enrichment pathways in the EC and EU using WGCNA, which may provide a comprehensive understanding of the pathogenesis of endometriosis and have important clinical implications for the treatment and diagnosis of endometriosis.
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The following publicly-available datasets were analyzed in this study: [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120103]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51981].
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sections[22] "Data Availability" paragraph 2
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The following publicly-available datasets were analyzed in this study: [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120103]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51981].
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Homo sapiens whole genome expression microarray of endometrium obtained from fertile and Infertile women with stage IV ovarian endometriosis and without endometriosis
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Molecular Classification of Endometriosis and Disease Stage Using High-Dimensional Genomic Data
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GSM175923
[138]
GSM175924
[139]
GSM175925
[140]
GSM175926
[141]
GSM175927
[142]
GSM175928
[143]
GSM175929
[144]
GSM175930
[145]
GSM175931
[146]
GSM175932
[147]
GSM175933
[148]
GSM175934
[149]
GSM175935
[150]
GSM175936
[151]
GSM175937
[152]
GSM175938
[153]
GSM175939
[154]
GSM175940
[155]
GSM175941
[156]
GSM175942
[157]
GSM175943
[158]
GSM175944
[159]
GSM175945
[160]
GSM175946
[161]
GSM175947
[162]
GSM175948
[163]
GSM175949
[164]
GSM175950
[165]
GSM175951
[166]
GSM175952
[167]
GSM175953
[168]
GSM175954
[169]
GSM175955
[170]
GSM175956
[171]
GSM175957
[172]
GSM175958
[173]
GSM175959
[174]
GSM175960
[175]
GSM175961
[176]
GSM175962
[177]
GSM175963
[178]
GSM175964
[179]
GSM175965
[180]
GSM175966
[181]
GSM175967
[182]
GSM175968
[183]
GSM175969
[184]
GSM175970
[185]
GSM175971
[186]
GSM175972
[187]
GSM175973
[188]
GSM175974
[189]
GSM175975
[190]
GSM175976
[191]
GSM175977
[192]
GSM175978
[193]
GSM175979
[194]
GSM175980
[195]
GSM175981
[196]
GSM175982
[197]
GSM175983
[198]
GSM175984
[199]
GSM175985
[200]
GSM175987
[201]
GSM175988
[202]
GSM175989
[203]
GSM175990
[204]
GSM175991
[205]
GSM175992
[206]
GSM175993
[207]
GSM175994
[208]
GSM175995
[209]
GSM175996
[210]
GSM175997
[211]
GSM175998
[212]
GSM175999
[213]
GSM176000
[214]
GSM176001
[215]
GSM176002
[216]
GSM176003
[217]
GSM176004
[218]
GSM176005
[219]
GSM176006
[220]
GSM176007
[221]
GSM176008
[222]
GSM176009
[223]
GSM176010
[224]
GSM176011
[225]
GSM176012
[226]
GSM176013
[227]
GSM176014
[228]
GSM176015
[229]
GSM176016
[230]
GSM176017
[231]
GSM176018
[232]
GSM176019
[233]
GSM176020
[234]
GSM176021
[235]
GSM176022
[236]
GSM176023
[237]
GSM176024
[238]
GSM176025
[239]
GSM176026
[240]
GSM176027
[241]
GSM176028
[242]
GSM176029
[243]
GSM176030
[244]
GSM176031
[245]
GSM176032
[246]
GSM176033
[247]
GSM176034
[248]
GSM176035
[249]
GSM176036
[250]
GSM176037
[251]
GSM176038
[252]
GSM176039
[253]
GSM176040
[254]
GSM176041
[255]
GSM176042
[256]
GSM176043
[257]
GSM176044
[258]
GSM176045
[259]
GSM176046
[260]
GSM176047
[261]
GSM176048
[262]
GSM176049
[263]
GSM176050
[264]
GSM176051
[265]
GSM176052
[266]
GSM176053
[267]
GSM176054
[268]
GSM176055
[269]
GSM176056
[270]
GSM176057
[271]
GSM176058
[272]
GSM176059
[273]
GSM176060
[274]
GSM176061
[275]
GSM176062
[276]
GSM176063
[277]
GSM176064
[278]
GSM176065
[279]
GSM176066
[280]
GSM176067
[281]
GSM176068
[282]
GSM176069
[283]
GSM176070
[284]
GSM176071
[285]
GSM176072
[286]
GSM176073
[287]
GSM176074
[288]
GSM176075
[289]
GSM176076
[290]
GSM176077
[291]
GSM176078
[292]
GSM176079
[293]
GSM176080
[294]
GSM176081
[295]
GSM176082
[296]
GSM176083
[297]
GSM176084
[298]
GSM176085
[299]
GSM176086
[300]
GSM176087
[301]
GSM176088
[302]
GSM176089
[303]
GSM176090
[304]
GSM176091
[305]
GSM176092
[306]
GSM176093
[307]
GSM176094
[308]
GSM176095
[309]
GSM176096
[310]
GSM176097
[311]
GSM176098
[312]
GSM176099
[313]
GSM176100
[314]
GSM176101
[315]
GSM176102
[316]
GSM176103
[317]
GSM176104
[318]
GSM176105
[319]
GSM176106
[320]
GSM176107
[321]
GSM176108
[322]
GSM176109
[323]
GSM176110
[324]
GSM176111
[325]
GSM176112
[326]
GSM176113
[327]
GSM176114
[328]
GSM176115
[329]
GSM176116
[330]
GSM176117
[331]
GSM176118
[332]
GSM176119
[333]
GSM176120
[334]
GSM176121
[335]
GSM176122
[336]
GSM176123
[337]
GSM176124
[338]
GSM176125
[339]
GSM176126
[340]
GSM176127
[341]
GSM176128
[342]
GSM176129
[343]
GSM176130
[344]
GSM176131
[345]
GSM176132
[346]
GSM176133
[347]
GSM176134
[348]
GSM176135
[349]
GSM176136
[350]
GSM176137
[351]
GSM176138
[352]
GSM176139
[353]
GSM176140
[354]
GSM176141
[355]
GSM176142
[356]
GSM176143
[357]
GSM176144
[358]
GSM176145
[359]
GSM176146
[360]
GSM176147
[361]
GSM176148
[362]
GSM176149
[363]
GSM176150
[364]
GSM176151
[365]
GSM176152
[366]
GSM176153
[367]
GSM176154
[368]
GSM176155
[369]
GSM176156
[370]
GSM176157
[371]
GSM176158
[372]
GSM176159
[373]
GSM176160
[374]
GSM176161
[375]
GSM176162
[376]
GSM176163
[377]
GSM176164
[378]
GSM176165
[379]
GSM176166
[380]
GSM176167
[381]
GSM176168
[382]
GSM176169
[383]
GSM176170
[384]
GSM176171
[385]
GSM176172
[386]
GSM176173
[387]
GSM176174
[388]
GSM176175
[389]
GSM176176
[390]
GSM176177
[391]
GSM176178
[392]
GSM176179
[393]
GSM176180
[394]
GSM176181
[395]
GSM176182
[396]
GSM176183
[397]
GSM176184
[398]
GSM176185
[399]
GSM176186
[400]
GSM176205
[401]
GSM176206
[402]
GSM176207
[403]
GSM176208
[404]
GSM176209
[405]
GSM176210
[406]
GSM176211
[407]
GSM176212
[408]
GSM176213
[409]
GSM176214
[410]
GSM176215
[411]
GSM176216
[412]
GSM176217
[413]
GSM176218
[414]
GSM176219
[415]
GSM176220
[416]
GSM176221
[417]
GSM176222
[418]
GSM176223
[419]
GSM176224
[420]
GSM176225
[421]
GSM176226
[422]
GSM176227
[423]
GSM176228
[424]
GSM176229
[425]
GSM176230
[426]
GSM176231
[427]
GSM176232
[428]
GSM176233
[429]
GSM176234
[430]
GSM176235
[431]
GSM176236
[432]
GSM176237
[433]
GSM176238
[434]
GSM176239
[435]
GSM176240
[436]
GSM176241
[437]
GSM176242
[438]
GSM176243
[439]
GSM176244
[440]
GSM176245
[441]
GSM176246
[442]
GSM176247
[443]
GSM176248
[444]
GSM176249
[445]
GSM176250
[446]
GSM176251
[447]
GSM176252
[448]
GSM176253
[449]
GSM176254
[450]
GSM176255
[451]
GSM176256
[452]
GSM176257
[453]
GSM176258
[454]
GSM176259
[455]
GSM176260
[456]
GSM176261
[457]
GSM176262
[458]
GSM176263
[459]
GSM176264
[460]
GSM176265
[461]
GSM176266
[462]
GSM176267
[463]
GSM176268
[464]
GSM176269
[465]
GSM176270
[466]
GSM176271
[467]
GSM176272
[468]
GSM176273
[469]
GSM176274
[470]
GSM176275
[471]
GSM176276
[472]
GSM176277
[473]
GSM176278
[474]
GSM176279
[475]
GSM176280
[476]
GSM176281
[477]
GSM176282
[478]
GSM176283
[479]
GSM176284
[480]
GSM176285
[481]
GSM176286
[482]
GSM176287
[483]
GSM176288
[484]
GSM176289
[485]
GSM176290
[486]
GSM176291
[487]
GSM176292
[488]
GSM176293
[489]
GSM176294
[490]
GSM176295
[491]
GSM176296
[492]
GSM176297
[493]
GSM176298
[494]
GSM176299
[495]
GSM176300
[496]
GSM176301
[497]
GSM176302
[498]
GSM176303
[499]
GSM176304
[500]
GSM176305
[501]
GSM176306
[502]
GSM176307
[503]
GSM176308
[504]
GSM176309
[505]
GSM176310
[506]
GSM176311
[507]
GSM176312
[508]
GSM176313
[509]
GSM176314
[510]
GSM176315
[511]
GSM176316
[512]
GSM176317
[513]
GSM176318
[514]
GSM176319
[515]
GSM176320
[516]
GSM176321
[517]
GSM176322
[518]
GSM176323
[519]
GSM176324
[520]
GSM176325
[521]
GSM176326
[522]
GSM176327
[523]
GSM176328
[524]
GSM176329
[525]
GSM176330
[526]
GSM176331
[527]
GSM176332
[528]
GSM176333
[529]
GSM176334
[530]
GSM176335
[531]
GSM176336
[532]
GSM176337
[533]
GSM176338
[534]
GSM176339
[535]
GSM176340
[536]
GSM176341
[537]
GSM176342
[538]
GSM176343
[539]
GSM176344
[540]
GSM176345
[541]
GSM176346
[542]
GSM176347
[543]
GSM176348
[544]
GSM176349
[545]
GSM176350
[546]
GSM176351
[547]
GSM176352
[548]
GSM176353
[549]
GSM176354
[550]
GSM176355
[551]
GSM176356
[552]
GSM176357
[553]
GSM176358
[554]
GSM176359
[555]
GSM176360
[556]
GSM176361
[557]
GSM176362
[558]
GSM176363
[559]
GSM176364
[560]
GSM176365
[561]
GSM176366
[562]
GSM176367
[563]
GSM176368
[564]
GSM176369
[565]
GSM176370
[566]
GSM176371
[567]
GSM176372
[568]
GSM176373
[569]
GSM176374
[570]
GSM176375
[571]
GSM176376
[572]
GSM176377
[573]
GSM176378
[574]
GSM176379
[575]
GSM176380
[576]
GSM176381
[577]
GSM176382
[578]
GSM176383
[579]
GSM176384
[580]
GSM176385
[581]
GSM176386
[582]
GSM176387
[583]
GSM176388
[584]
GSM176389
[585]
GSM176390
[586]
GSM176391
[587]
GSM176392
[588]
GSM176393
[589]
GSM176394
[590]
GSM176395
[591]
GSM176396
[592]
GSM176397
[593]
GSM176398
[594]
GSM176399
[595]
GSM176400
[596]
GSM176401
[597]
GSM176402
[598]
GSM176403
[599]
GSM176404
[600]
GSM176405
[601]
GSM176406
[602]
GSM176407
[603]
GSM176408
[604]
GSM176409
[605]
GSM176410
[606]
GSM176411
[607]
GSM176412
[608]
GSM176413
[609]
GSM176414
[610]
GSM176415
[611]
GSM176416
[612]
GSM176417
[613]
GSM176418
[614]
GSM176419
[615]
GSM176420
[616]
GSM176421
[617]
GSM176422
[618]
GSM176423
[619]
GSM176424
[620]
GSM176425
[621]
GSM176426
[622]
GSM176427
[623]
GSM176428
[624]
GSM176429
[625]
GSM176430
[626]
GSM176431
[627]
GSM176432
[628]
GSM176433
[629]
GSM176434
[630]
GSM176435
[631]
GSM176436
[632]
GSM176437
[633]
GSM176438
[634]
GSM176439
[635]
GSM176440
[636]
GSM176441
[637]
GSM176442
[638]
GSM176443
[639]
GSM176444
[640]
GSM176445
[641]
GSM176446
[642]
GSM176447
[643]
GSM176448
[644]
GSM176449
[645]
GSM176450
[646]
GSM176451
[647]
GSM176452
[648]
GSM176453
[649]
GSM176454
[650]
GSM176455
[651]
GSM176456
[652]
GSM176457
[653]
GSM176458
[654]
GSM176459
[655]
GSM176460
[656]
GSM176461
[657]
GSM176462
[658]
GSM176463
[659]
GSM176464
[660]
GSM176465
[661]
GSM176466
[662]
GSM176467
[663]
GSM176468
[664]
GSM176469
[665]
GSM176470
[666]
GSM176471
[667]
GSM176472
[668]
GSM176473
[669]
GSM176474
[670]
GSM176475
[671]
GSM176476
[672]
GSM176477
[673]
GSM176478
[674]
GSM176479
[675]
GSM176480
[676]
GSM176481
sample_count
677
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Human body index - transcriptional profiling
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 16 fields
id
asset:table:pmid:34522169:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:18e24a0db6585a6e31661f0ef50e6821dba3a63ead661ef011a3ee40d9bfc1b9
bytes
3299
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[1]#T1
version
null
note
The GO and KEGG Pathway analysis of genes in the blue module
structure object · 5 fields
pmcid
PMC8436105
section_index
16
section_title
Function analysis of the most significant module
row_count
41
column_count
4
table object · 8 fields
label
Table 1
caption
The GO and KEGG Pathway analysis of genes in the blue module
rows array · 41 items
[0] array · 4 items
[0]
Category
[1]
Term
[2]
Description
[3]
Log(p-value)
[1] array · 4 items
[0]
GO Biological Processes
[1]
GO:0030029
[2]
actin filament-based process
[3]
-20.593297
[2] array · 4 items
[0]
GO Biological Processes
[1]
GO:0071417
[2]
cellular response to organonitrogen compound
[3]
-20.2406423
[3] array · 4 items
[0]
GO Biological Processes
[1]
GO:0030155
[2]
regulation of cell adhesion
[3]
-20.0365408
[4] array · 4 items
[0]
GO Biological Processes
[1]
GO:0006914
[2]
autophagy
[3]
-15.9477686
[5] array · 4 items
[0]
GO Biological Processes
[1]
GO:0010942
[2]
positive regulation of cell death
[3]
-14.3658968
[6] array · 4 items
[0]
GO Biological Processes
[1]
GO:0007264
[2]
small GTPase mediated signal transduction
[3]
-14.0979829
[7] array · 4 items
[0]
GO Biological Processes
[1]
GO:0070848
[2]
response to growth factor
[3]
-13.3811234
[8] array · 4 items
[0]
GO Biological Processes
[1]
GO:0045055
[2]
regulated exocytosis
[3]
-13.372418
[9] array · 4 items
[0]
GO Biological Processes
[1]
GO:0051345
[2]
positive regulation of hydrolase activity
[3]
-13.0915765
[10] array · 4 items
[0]
GO Biological Processes
[1]
GO:0001568
[2]
blood vessel development
[3]
-12.7380519
[11] array · 4 items
[0]
GO Biological Processes
[1]
GO:0000904
[2]
cell morphogenesis involved in differentiation
[3]
-12.5393524
[12] array · 4 items
[0]
GO Biological Processes
[1]
GO:0043062
[2]
extracellular structure organization
[3]
-12.4268848
[13] array · 4 items
[0]
GO Biological Processes
[1]
GO:0009611
[2]
response to wounding
[3]
-12.0333641
[14] array · 4 items
[0]
GO Biological Processes
[1]
GO:0043408
[2]
regulation of MAPK cascade
[3]
-11.5789888
[15] array · 4 items
[0]
GO Biological Processes
[1]
GO:0022604
[2]
regulation of cell morphogenesis
[3]
-11.4691072
[16] array · 4 items
[0]
GO Biological Processes
[1]
GO:0002576
[2]
platelet degranulation
[3]
-11.2263844
[17] array · 4 items
[0]
GO Biological Processes
[1]
GO:0019221
[2]
cytokine-mediated signaling pathway
[3]
-10.9869128
[18] array · 4 items
[0]
GO Biological Processes
[1]
GO:0045936
[2]
negative regulation of phosphate metabolic process
[3]
-10.9676618
[19] array · 4 items
[0]
GO Biological Processes
[1]
GO:0003012
[2]
muscle system process
[3]
-10.2900458
[20] array · 4 items
[0]
GO Biological Processes
[1]
GO:0051129
[2]
negative regulation of cellular component organization
[3]
-10.2118548
[21] array · 4 items
[0]
KEGG Pathway
[1]
hsa04068
[2]
FoxO signaling pathway
[3]
-9.5
[22] array · 4 items
[0]
KEGG Pathway
[1]
hsa04510
[2]
Focal adhesion
[3]
-9
[23] array · 4 items
[0]
KEGG Pathway
[1]
hsa04014
[2]
Ras signaling pathway
[3]
-8.6
[24] array · 4 items
[0]
KEGG Pathway
[1]
hsa04010
[2]
MAPK signaling pathway
[3]
-8.2
[25] array · 4 items
[0]
KEGG Pathway
[1]
hsa05200
[2]
Pathways in cancer
[3]
-7.3
[26] array · 4 items
[0]
KEGG Pathway
[1]
hsa05205
[2]
Proteoglycans in cancer
[3]
-7.2
[27] array · 4 items
[0]
KEGG Pathway
[1]
hsa04380
[2]
Osteoclast differentiation
[3]
-6.8
[28] array · 4 items
[0]
KEGG Pathway
[1]
hsa04610
[2]
Complement and coagulation cascades
[3]
-6.6
[29] array · 4 items
[0]
KEGG Pathway
[1]
hsa04630
[2]
Jak-STAT signaling pathway
[3]
-6
[30] array · 4 items
[0]
KEGG Pathway
[1]
hsa05418
[2]
Fluid shear stress and atherosclerosis
[3]
-5.9
[31] array · 4 items
[0]
KEGG Pathway
[1]
hsa04270
[2]
Vascular smooth muscle contraction
[3]
-5.9
[32] array · 4 items
[0]
KEGG Pathway
[1]
hsa04144
[2]
Endocytosis
[3]
-5.9
[33] array · 4 items
[0]
KEGG Pathway
[1]
hsa04727
[2]
GABAergic synapse
[3]
-5.8
[34] array · 4 items
[0]
KEGG Pathway
[1]
hsa04137
[2]
Mitophagy - animal
[3]
-5.5
[35] array · 4 items
[0]
KEGG Pathway
[1]
hsa04915
[2]
Estrogen signaling pathway
[3]
-5.5
[36] array · 4 items
[0]
KEGG Pathway
[1]
hsa04621
[2]
NOD-like receptor signaling pathway
[3]
-5.1
[37] array · 4 items
[0]
KEGG Pathway
[1]
hsa05202
[2]
Transcriptional misregulation in cancer
[3]
-4.2
[38] array · 4 items
[0]
KEGG Pathway
[1]
hsa04720
[2]
Long-term potentiation
[3]
-4.1
[39] array · 4 items
[0]
KEGG Pathway
[1]
hsa04668
[2]
TNF signaling pathway
[3]
-3.8
[40] array · 4 items
[0]
KEGG Pathway
[1]
hsa04020
[2]
Calcium signaling pathway
[3]
-3.7
locator
section[16]/table-wrap[1]#T1
[6] object · 16 fields
id
asset:table:pmid:34522169:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1532eb88b6a6823cebd08480441ad93687bd3ce921996c4b29f29ff60b16c93e
bytes
2644
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[2]#T2
version
null
note
The GO and KEGG Pathway analysis of genes in the magenta module
structure object · 5 fields
pmcid
PMC8436105
section_index
16
section_title
Function analysis of the most significant module
row_count
30
column_count
4
table object · 8 fields
label
Table 2
caption
The GO and KEGG Pathway analysis of genes in the magenta module
rows array · 30 items
[0] array · 4 items
[0]
Category
[1]
Term
[2]
Description
[3]
Log(p-value)
[1] array · 4 items
[0]
GO Biological Processes
[1]
GO:0043408
[2]
regulation of MAPK cascade
[3]
-6.05131099
[2] array · 4 items
[0]
GO Biological Processes
[1]
GO:0043409
[2]
negative regulation of MAPK cascade
[3]
-4.84419894
[3] array · 4 items
[0]
GO Biological Processes
[1]
GO:1903351
[2]
cellular response to dopamine
[3]
-4.25433626
[4] array · 4 items
[0]
GO Biological Processes
[1]
GO:0035666
[2]
TRIF-dependent toll-like receptor signaling pathway
[3]
-3.72907579
[5] array · 4 items
[0]
GO Biological Processes
[1]
GO:0060398
[2]
regulation of growth hormone receptor signaling pathway
[3]
-3.59181535
[6] array · 4 items
[0]
GO Biological Processes
[1]
GO:1904407
[2]
positive regulation of nitric oxide metabolic process
[3]
-3.51272839
[7] array · 4 items
[0]
GO Biological Processes
[1]
GO:0009190
[2]
cyclic nucleotide biosynthetic process
[3]
-3.38699864
[8] array · 4 items
[0]
GO Biological Processes
[1]
GO:0000226
[2]
microtubule cytoskeleton organization
[3]
-3.37279545
[9] array · 4 items
[0]
GO Biological Processes
[1]
GO:0030258
[2]
lipid modification
[3]
-3.34130208
[10] array · 4 items
[0]
GO Biological Processes
[1]
GO:0016569
[2]
covalent chromatin modification
[3]
-3.19790154
[11] array · 4 items
[0]
GO Biological Processes
[1]
GO:0046856
[2]
phosphatidylinositol dephosphorylation
[3]
-3.11446184
[12] array · 4 items
[0]
GO Biological Processes
[1]
GO:0046777
[2]
protein autophosphorylation
[3]
-3.11274876
[13] array · 4 items
[0]
GO Biological Processes
[1]
GO:0090336
[2]
positive regulation of brown fat cell differentiation
[3]
-3.07693529
[14] array · 4 items
[0]
GO Biological Processes
[1]
GO:0060391
[2]
positive regulation of SMAD protein signal transduction
[3]
-3.07693529
[15] array · 4 items
[0]
GO Biological Processes
[1]
GO:0007099
[2]
centriole replication
[3]
-3.06412444
[16] array · 4 items
[0]
GO Biological Processes
[1]
GO:0031570
[2]
DNA integrity checkpoint
[3]
-2.93592311
[17] array · 4 items
[0]
GO Biological Processes
[1]
GO:0019835
[2]
cytolysis
[3]
-2.87954652
[18] array · 4 items
[0]
GO Biological Processes
[1]
GO:0007030
[2]
Golgi organization
[3]
-2.79292724
[19] array · 4 items
[0]
GO Biological Processes
[1]
GO:0048539
[2]
bone marrow development
[3]
-2.684576
[20] array · 4 items
[0]
KEGG Pathway
[1]
hsa00310
[2]
Lysine degradation
[3]
-5
[21] array · 4 items
[0]
KEGG Pathway
[1]
hsa04668
[2]
TNF signaling pathway
[3]
-3.4
[22] array · 4 items
[0]
KEGG Pathway
[1]
hsa04621
[2]
NOD-like receptor signaling pathway
[3]
-3.2
[23] array · 4 items
[0]
KEGG Pathway
[1]
hsa05020
[2]
Prion diseases
[3]
-2.4
[24] array · 4 items
[0]
KEGG Pathway
[1]
hsa00514
[2]
Other types of O-glycan biosynthesis
[3]
-2.4
[25] array · 4 items
[0]
KEGG Pathway
[1]
hsa04140
[2]
Autophagy - animal
[3]
-2.3
[26] array · 4 items
[0]
KEGG Pathway
[1]
hsa04912
[2]
GnRH signaling pathway
[3]
-2.2
[27] array · 4 items
[0]
KEGG Pathway
[1]
hsa04070
[2]
Phosphatidylinositol signaling system
[3]
-2.1
[28] array · 4 items
[0]
KEGG Pathway
[1]
hsa04210
[2]
Apoptosis
[3]
-2.1
[29] array · 4 items
[0]
KEGG Pathway
[1]
hsa04550
[2]
Signaling pathways regulating pluripotency of stem cells
[3]
-2
locator
section[16]/table-wrap[2]#T2
[7] object · 16 fields
id
asset:table:pmid:34522169:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:82cd5f460615a905a8644007fc40ef4d09165331fdff1e939cb89ad15a0cdc6d
bytes
4128
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[1]#T3
version
null
note
The common hub genes of WGCNA and PPI analysis in the blue and magenta modules
structure object · 5 fields
pmcid
PMC8436105
section_index
17
section_title
Identification of hub genes
row_count
30
column_count
11
table object · 8 fields
label
Table 3
caption
The common hub genes of WGCNA and PPI analysis in the blue and magenta modules
rows array · 30 items
[0] array · 6 items
[0]
Gene Symbol
[1]
Gene Description
[2]
Module
[3]
WGCNA
[4]
PPI Analysis
[5]
Limma Analysis
[1] array · 8 items
[0]
GS
[1]
GS P value
[2]
MM
[3]
MM, P value
[4]
K Score
[5]
Log2FC
[6]
FDR
[7]
Up or Down
[2] array · 11 items
[0]
ACTG2
[1]
actin, gamma 2, smooth muscle, enteric
[2]
blue
[3]
0.922139646
[4]
7.51E-09
[5]
0.923366176
[6]
6.54E-09
[7]
5.667
[8]
3.548158459
[9]
1.02E-08
[10]
up
[3] array · 11 items
[0]
C1R
[1]
complement C1r subcomponent
[2]
blue
[3]
0.897984733
[4]
7.81E-08
[5]
0.96174151
[6]
1.45E-11
[7]
4
[8]
2.208552292
[9]
1.14E-07
[10]
up
[4] array · 11 items
[0]
CDH3
[1]
cadherin 3
[2]
blue
[3]
0.931420936
[4]
2.48E-09
[5]
0.971836642
[6]
9.56E-13
[7]
6.2
[8]
2.775338929
[9]
3.97E-09
[10]
up
[5] array · 11 items
[0]
CLU
[1]
clusterin
[2]
blue
[3]
0.863575842
[4]
9.38E-07
[5]
0.878310934
[6]
3.54E-07
[7]
4
[8]
2.044619742
[9]
1.29E-06
[10]
up
[6] array · 11 items
[0]
COL8A1
[1]
collagen type VIII alpha 1 chain
[2]
blue
[3]
0.92193141
[4]
7.69E-09
[5]
0.941172973
[6]
6.47E-10
[7]
3
[8]
4.329881143
[9]
1.01E-08
[10]
Up
[7] array · 11 items
[0]
GATA6
[1]
GATA binding protein 6
[2]
blue
[3]
0.98763453
[4]
6.14E-16
[5]
0.972736196
[6]
7.16E-13
[7]
5.667
[8]
4.878194698
[9]
1.42E-15
[10]
up
[8] array · 11 items
[0]
HOXC6
[1]
homeobox C6
[2]
blue
[3]
0.944317318
[4]
3.99E-10
[5]
0.90875176
[6]
2.98E-08
[7]
4.8
[8]
3.487499137
[9]
6.36E-10
[10]
up
[9] array · 11 items
[0]
LMOD1
[1]
leiomodin 1
[2]
blue
[3]
0.880126801
[4]
3.12E-07
[5]
0.947799849
[6]
2.26E-10
[7]
5.667
[8]
2.476035697
[9]
4.14E-07
[10]
up
[10] array · 11 items
[0]
MYH11
[1]
myosin heavy chain 11
[2]
blue
[3]
0.933072838
[4]
2.00E-09
[5]
0.975751992
[6]
2.52E-13
[7]
5.667
[8]
3.708376486
[9]
2.96E-09
[10]
Up
[11] array · 11 items
[0]
MYLK
[1]
myosin light chain kinase
[2]
blue
[3]
0.914954646
[4]
1.62E-08
[5]
0.94723591
[6]
2.48E-10
[7]
5.667
[8]
2.125367821
[9]
2.54E-08
[10]
up
[12] array · 11 items
[0]
MYOCD
[1]
myocardin
[2]
blue
[3]
0.859995861
[4]
1.17E-06
[5]
0.929712545
[6]
3.08E-09
[7]
5.667
[8]
3.441041169
[9]
1.43E-06
[10]
up
[13] array · 11 items
[0]
PROS1
[1]
protein S (alpha)
[2]
blue
[3]
0.934607399
[4]
1.64E-09
[5]
0.984275338
[6]
5.27E-15
[7]
4
[8]
2.899254277
[9]
2.67E-09
[10]
up
[14] array · 11 items
[0]
SERPING1
[1]
serpin family G member 1
[2]
blue
[3]
0.859067114
[4]
1.23E-06
[5]
0.937390849
[6]
1.12E-09
[7]
4
[8]
2.424791429
[9]
1.61E-06
[10]
up
[15] array · 11 items
[0]
TAGLN
[1]
transgelin
[2]
blue
[3]
0.909061849
[4]
2.89E-08
[5]
0.959903156
[6]
2.20E-11
[7]
5.667
[8]
2.815676431
[9]
3.97E-08
[10]
up
[16] array · 11 items
[0]
THBS1
[1]
thrombospondin 1
[2]
blue
[3]
0.764480323
[4]
8.68E-05
[5]
0.84490284
[6]
2.77E-06
[7]
4
[8]
2.047575043
[9]
0.000118406
[10]
up
[17] array · 11 items
[0]
THBS2
[1]
thrombospondin 2
[2]
blue
[3]
0.870101501
[4]
6.18E-07
[5]
0.92128971
[6]
8.25E-09
[7]
3
[8]
2.397111323
[9]
8.17E-07
[10]
up
[18] array · 11 items
[0]
ABCC8
[1]
ATP binding cassette subfamily C member 8
[2]
magenta
[3]
0.726050115
[4]
0.000966995
[5]
0.922624053
[6]
1.35214E-07
[7]
3
[8]
2.368106299
[9]
0.000000474
[10]
Up
[19] array · 11 items
[0]
COL4A6
[1]
collagen type IV alpha 6 chain
[2]
magenta
[3]
0.831303264
[4]
3.54879E-05
[5]
0.873736048
[6]
4.59798E-06
[7]
4.71
[8]
3.592049292
[9]
5.82E-08
[10]
up
[20] array · 11 items
[0]
COL5A3
[1]
collagen type V alpha 3 chain
[2]
magenta
[3]
0.864722139
[4]
7.50448E-06
[5]
0.96496314
[6]
4.02139E-10
[7]
4.71
[8]
2.690812909
[9]
6.65E-08
[10]
up
[21] array · 11 items
[0]
CXCL13
[1]
C-X-C motif chemokine ligand 13
[2]
magenta
[3]
0.676038594
[4]
2.89E-03
[5]
0.808787134
[6]
8.47082E-05
[7]
20.9
[8]
2.692421845
[9]
0.00000669
[10]
up
[22] array · 11 items
[0]
CYP2E1
[1]
cytochrome P450 family 2 subfamily E member 1
[2]
magenta
[3]
0.813393515
[4]
7.1566E-05
[5]
0.937472578
[6]
2.85784E-08
[7]
4.5
[8]
2.3219305
[9]
4.78E-08
[10]
up
[23] array · 11 items
[0]
CYP4B1
[1]
cytochrome P450 family 4 subfamily B member 1
[2]
magenta
[3]
0.736111943
[4]
0.000754364
[5]
0.858320627
[6]
1.04106E-05
[7]
4.5
[8]
3.0752333
[9]
0.000000839
[10]
up
[24] array · 11 items
[0]
DKK1
[1]
dickkopf WNT signaling pathway inhibitor 1
[2]
magenta
[3]
0.697058489
[4]
0.001871854
[5]
0.815860925
[6]
6.53E-05
[7]
4.71
[8]
3.533265993
[9]
0.000000546
[10]
up
[25] array · 11 items
[0]
FSTL3
[1]
follistatin like 3
[2]
magenta
[3]
0.76382863
[4]
0.000358509
[5]
0.894831724
[6]
1.24E-06
[7]
5.067
[8]
2.997977144
[9]
0.000000244
[10]
up
[26] array · 11 items
[0]
KLF4
[1]
Kruppel like factor 4
[2]
magenta
[3]
0.725261009
[4]
0.000985574
[5]
0.884368596
[6]
2.45E-06
[7]
4.71
[8]
3.223838581
[9]
9.88E-08
[10]
up
[27] array · 11 items
[0]
NR4A2
[1]
nuclear receptor subfamily 4 group A member 2
[2]
magenta
[3]
0.800101777
[4]
0.000115047
[5]
0.864686086
[6]
7.52E-06
[7]
4.71
[8]
3.44866934
[9]
4.88E-08
[10]
up
[28] array · 11 items
[0]
PROK1
[1]
prokineticin 1
[2]
magenta
[3]
0.830706844
[4]
3.6373E-05
[5]
0.807977649
[6]
8.72E-05
[7]
11
[8]
4.082022638
[9]
1.93E-08
[10]
up
[29] array · 11 items
[0]
WDR27
[1]
WD repeat domain 27
[2]
magenta
[3]
0.790440633
[4]
0.000159037
[5]
0.950669894
[6]
5.02E-09
[7]
3
[8]
2.232448342
[9]
9.99E-08
[10]
up
locator
section[17]/table-wrap[1]#T3
gaps array · 8 items
[0]
asset:data:geo:GSE120103 not downloaded
[1]
asset:data:geo:GSE120103 licence not read
[2]
asset:data:geo:GSE51981 not downloaded
[3]
asset:data:geo:GSE51981 licence not read
[4]
asset:data:geo:GSE7305 not downloaded
[5]
asset:data:geo:GSE7305 licence not read
[6]
asset:data:geo:GSE7307 not downloaded
[7]
asset:data:geo:GSE7307 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[1] object · 10 fields
id
method-2
family
null
specific
null
label
Weighted gene co-expression network analysis (WGCNA)
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
reordered
quote
"We used the WGCNA R package to establish co-expression networks 14 for the genes in GSE7305 and GSE120103." "Expression profiles of endometriosis-associated mRNAs in GSE7305, GSE120103, GSE7307 and GSE51981 were downloaded from Gene Expression Omnibus (GEO) database."
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE7305
[1]
GSE120103
[2]
GSE7307
[3]
GSE51981
resolved_accessions array · 4 items
[0]
GSE7305
[1]
GSE120103
[2]
GSE7307
[3]
GSE51981
statements array · 1 item
[0]
The following publicly-available datasets were analyzed in this study: [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120103]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51981].
basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34522169", "kind": "science-record", "revision": 5, "content_hash": "sha256:5a9a0b6f2651b3ad149baf4f9091e5e82dbbcc10743a39c83a559dcb689d4fc7", "created_at": "2026-11-01T15:41:51Z", "updated_at": "2026-11-01T22:04:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network Analysis.", "doi": "10.7150/ijms.63541", "pmid": "34522169", "authors": ["Jingni Wu", "Xiaoling Fang", "Xiaomeng Xia"], "journal": "International journal of medical sciences", "year": 2021, "abstract": "Background: Endometriosis is a common gynecological disorder with high rates of infertility and pelvic pain. However, its pathogenesis and diagnostic biomarkers remain unclear. This study aimed to elucidate potential hub genes and key pathways associated with endometriosis in ectopic endometrium (EC) and eutopic endometrium (EU). Material and Method: EC and EU-associated microarray datasets were obtained from the gene expression omnibus (GEO) database. Gene set enrichment analysis was performed to obtain further biological insight into the EU and EC-associated genes. Weighted gene co-expression network analysis (WGCNA) was performed to find clinically significant modules of highly-correlated genes. The hub genes that belong to both the weighted gene co-expression network and protein-protein interaction (PPI) network were identified using a Venn diagram. Results: We obtained EC and EU-associated microarray datasets GSE7305 and GSE120103. Genes in the EC were mainly enriched in the immune response and immune cell trafficking, and genes in the EU were mainly enriched in stress response and steroid hormone biosynthesis. PPI networks and weighted gene co-expression networks were constructed. An EC-associated blue module and an EU-associated magenta module were identified, and their function annotations revealed that hormone receptor signaling or inflammatory microenvironments may promote EU passing through the oviducts and migrating to the ovarian surfaces, and adhesion and immune correlated genes may induce the successful ectopic implantation of the endometrium (EC). Twelve hub genes in the EC and sixteen hub genes in the EU were recognized and further validated in independent datasets. Conclusion: Our study identified, for the first time, the hub genes and enrichment pathways in the EC and EU using WGCNA, which may provide a comprehensive understanding of the pathogenesis of endometriosis and have important clinical implications for the treatment and diagnosis of endometriosis.", "claims": [{"id": "claim-data-access", "statement": "The following publicly-available datasets were analyzed in this study: [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120103]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51981].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34522169", "locator": "sections[22] \"Data Availability\" paragraph 2", "quote": "The following publicly-available datasets were analyzed in this study: [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120103]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51981]."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34522169"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE120103"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE120103"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34522169", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7150/ijms.63541", "sha256": 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"note": "The GO and KEGG Pathway analysis of genes in the magenta module", "structure": {"pmcid": "PMC8436105", "section_index": 16, "section_title": "Function analysis of the most significant module", "row_count": 30, "column_count": 4}, "table": {"label": "Table 2", "caption": "The GO and KEGG Pathway analysis of genes in the magenta module", "rows": [["Category", "Term", "Description", "Log(p-value)"], ["GO Biological Processes", "GO:0043408", "regulation of MAPK cascade", "-6.05131099"], ["GO Biological Processes", "GO:0043409", "negative regulation of MAPK cascade", "-4.84419894"], ["GO Biological Processes", "GO:1903351", "cellular response to dopamine", "-4.25433626"], ["GO Biological Processes", "GO:0035666", "TRIF-dependent toll-like receptor signaling pathway", "-3.72907579"], ["GO Biological Processes", "GO:0060398", "regulation of growth hormone receptor signaling pathway", "-3.59181535"], ["GO Biological Processes", "GO:1904407", "positive regulation of nitric oxide 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"locator": "section[16]/table-wrap[2]#T2"}}, {"id": "asset:table:pmid:34522169:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:82cd5f460615a905a8644007fc40ef4d09165331fdff1e939cb89ad15a0cdc6d", "bytes": 4128, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[1]#T3", "version": null, "note": "The common hub genes of WGCNA and PPI analysis in the blue and magenta modules", "structure": {"pmcid": "PMC8436105", "section_index": 17, "section_title": "Identification of hub genes", "row_count": 30, "column_count": 11}, "table": {"label": "Table 3", "caption": "The common hub genes of WGCNA and PPI analysis in the blue and magenta modules", "rows": [["Gene Symbol", "Gene Description", "Module", "WGCNA", "PPI Analysis", "Limma Analysis"], ["GS", "GS P value", "MM", "MM, P value", "K Score", "Log2FC", "FDR", "Up or Down"], ["ACTG2", "actin, gamma 2, smooth muscle, enteric", "blue", "0.922139646", "7.51E-09", "0.923366176", "6.54E-09", "5.667", "3.548158459", "1.02E-08", "up"], ["C1R", "complement C1r subcomponent", "blue", "0.897984733", "7.81E-08", "0.96174151", "1.45E-11", "4", "2.208552292", "1.14E-07", "up"], ["CDH3", "cadherin 3", "blue", "0.931420936", "2.48E-09", "0.971836642", "9.56E-13", "6.2", "2.775338929", "3.97E-09", "up"], ["CLU", "clusterin", "blue", "0.863575842", "9.38E-07", "0.878310934", "3.54E-07", "4", "2.044619742", "1.29E-06", "up"], ["COL8A1", "collagen type VIII alpha 1 chain", "blue", "0.92193141", "7.69E-09", "0.941172973", "6.47E-10", "3", "4.329881143", "1.01E-08", "Up"], ["GATA6", "GATA binding protein 6", "blue", "0.98763453", "6.14E-16", "0.972736196", "7.16E-13", "5.667", "4.878194698", "1.42E-15", "up"], ["HOXC6", "homeobox C6", "blue", "0.944317318", "3.99E-10", "0.90875176", "2.98E-08", "4.8", "3.487499137", "6.36E-10", "up"], ["LMOD1", "leiomodin 1", "blue", "0.880126801", "3.12E-07", "0.947799849", "2.26E-10", "5.667", "2.476035697", "4.14E-07", "up"], ["MYH11", "myosin heavy chain 11", "blue", "0.933072838", "2.00E-09", "0.975751992", "2.52E-13", "5.667", "3.708376486", "2.96E-09", "Up"], ["MYLK", "myosin light chain kinase", "blue", "0.914954646", "1.62E-08", "0.94723591", "2.48E-10", "5.667", "2.125367821", "2.54E-08", "up"], ["MYOCD", "myocardin", "blue", "0.859995861", "1.17E-06", "0.929712545", "3.08E-09", "5.667", "3.441041169", "1.43E-06", "up"], ["PROS1", "protein S (alpha)", "blue", "0.934607399", "1.64E-09", "0.984275338", "5.27E-15", "4", "2.899254277", "2.67E-09", "up"], ["SERPING1", "serpin family G member 1", "blue", "0.859067114", "1.23E-06", "0.937390849", "1.12E-09", "4", "2.424791429", "1.61E-06", "up"], ["TAGLN", "transgelin", "blue", "0.909061849", "2.89E-08", "0.959903156", "2.20E-11", "5.667", "2.815676431", "3.97E-08", "up"], ["THBS1", "thrombospondin 1", "blue", "0.764480323", "8.68E-05", "0.84490284", "2.77E-06", "4", "2.047575043", "0.000118406", "up"], ["THBS2", "thrombospondin 2", "blue", "0.870101501", "6.18E-07", "0.92128971", "8.25E-09", "3", "2.397111323", "8.17E-07", "up"], ["ABCC8", "ATP binding cassette subfamily C member 8", "magenta", "0.726050115", "0.000966995", "0.922624053", "1.35214E-07", "3", "2.368106299", "0.000000474", "Up"], ["COL4A6", "collagen type IV alpha 6 chain", "magenta", "0.831303264", "3.54879E-05", "0.873736048", "4.59798E-06", "4.71", "3.592049292", "5.82E-08", "up"], ["COL5A3", "collagen type V alpha 3 chain", "magenta", "0.864722139", "7.50448E-06", "0.96496314", "4.02139E-10", "4.71", "2.690812909", "6.65E-08", "up"], ["CXCL13", "C-X-C motif chemokine ligand 13", "magenta", "0.676038594", "2.89E-03", "0.808787134", "8.47082E-05", "20.9", "2.692421845", "0.00000669", "up"], ["CYP2E1", "cytochrome P450 family 2 subfamily E member 1", "magenta", "0.813393515", "7.1566E-05", "0.937472578", "2.85784E-08", "4.5", "2.3219305", "4.78E-08", "up"], ["CYP4B1", "cytochrome P450 family 4 subfamily B member 1", "magenta", "0.736111943", "0.000754364", "0.858320627", "1.04106E-05", "4.5", "3.0752333", "0.000000839", "up"], ["DKK1", "dickkopf WNT signaling pathway inhibitor 1", "magenta", "0.697058489", "0.001871854", "0.815860925", "6.53E-05", "4.71", "3.533265993", "0.000000546", "up"], ["FSTL3", "follistatin like 3", "magenta", "0.76382863", "0.000358509", "0.894831724", "1.24E-06", "5.067", "2.997977144", "0.000000244", "up"], ["KLF4", "Kruppel like factor 4", "magenta", "0.725261009", "0.000985574", "0.884368596", "2.45E-06", "4.71", "3.223838581", "9.88E-08", "up"], ["NR4A2", "nuclear receptor subfamily 4 group A member 2", "magenta", "0.800101777", "0.000115047", "0.864686086", "7.52E-06", "4.71", "3.44866934", "4.88E-08", "up"], ["PROK1", "prokineticin 1", "magenta", "0.830706844", "3.6373E-05", "0.807977649", "8.72E-05", "11", "4.082022638", "1.93E-08", "up"], ["WDR27", "WD repeat domain 27", "magenta", "0.790440633", "0.000159037", "0.950669894", "5.02E-09", "3", "2.232448342", "9.99E-08", "up"]], "row_count": 30, "column_count": 11, "numeric_cells": 220, "header_rows": 2, "locator": "section[17]/table-wrap[1]#T3"}}], "gaps": ["asset:data:geo:GSE120103 not downloaded", "asset:data:geo:GSE120103 licence not read", "asset:data:geo:GSE51981 not downloaded", "asset:data:geo:GSE51981 licence not read", "asset:data:geo:GSE7305 not downloaded", "asset:data:geo:GSE7305 licence not read", "asset:data:geo:GSE7307 not downloaded", "asset:data:geo:GSE7307 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-2", "family": null, "specific": null, "label": "Weighted gene co-expression network analysis (WGCNA)", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "reordered", "quote": "\"We used the WGCNA R package to establish co-expression networks 14 for the genes in GSE7305 and GSE120103.\" \"Expression profiles of endometriosis-associated mRNAs in GSE7305, GSE120103, GSE7307 and GSE51981 were downloaded from Gene Expression Omnibus (GEO) database.\""}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE7305", "GSE120103", "GSE7307", "GSE51981"], "resolved_accessions": ["GSE7305", "GSE120103", "GSE7307", "GSE51981"], "statements": ["The following publicly-available datasets were analyzed in this study: [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120103]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi]; [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51981]."], "basis": "The paper names GSE7305, GSE120103, GSE7307, GSE51981 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "assets": ["source:pmid:34522169", "data:geo:GSE120103", "asset:table:pmid:34522169:1", "asset:table:pmid:34522169:2", "asset:table:pmid:34522169:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE120103"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:34:41Z", "independence": "single_reader"}, "evidence_check": {"method": "reordered", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 26347, "completion_tokens": 1966, "cached_tokens": 784}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:34522169", "type": "paper", "label": "pmid:34522169"}, {"id": "source:pmid:34522169", "type": "manuscript", "label": "PMID 34522169 full text"}, {"id": "data:geo:GSE120103", "type": "dataset", "label": "GEO GSE120103"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34522169", "type": "paper", "label": "pmid:34522169"}, {"id": "source:pmid:34522169", "type": "manuscript", "label": "PMID 34522169 full text"}, {"id": "data:geo:GSE120103", "type": "dataset", "label": "GEO GSE120103"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34522169", "type": "extraction", "used": ["source:pmid:34522169"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE120103", "type": "accession_resolution", "used": ["data:geo:GSE120103"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:34522169", "parent_hash": "sha256:f91e74a7c79fa07942858374b267f0e963dabba331c10c427c9686fed36b884c", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE120103 licence not read", "asset:data:geo:GSE120103 not downloaded", "asset:data:geo:GSE51981 licence not read", "asset:data:geo:GSE51981 not downloaded", "asset:data:geo:GSE7305 licence not read", "asset:data:geo:GSE7305 not downloaded", "asset:data:geo:GSE7307 licence not read", "asset:data:geo:GSE7307 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["). Material and Method: EC and EU-associated microarray datasets were obtained from the gene express", "m. Results: We obtained EC and EU-associated microarray datasets GSE7305 and GSE120103. Genes in the"], "order_basis": "paper_text_order:449", "id": "assay:1"}, {"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["protein-protein interaction"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}