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pmid:41212877

Identification and validation of the important role of tryptophan-related gene CYP1B1 in the development and progression of sepsis.

Li-Hong Chen · Wei-Ru Lin · Hui-Rong Hu · Zhi-Yuan Chen · Yan-Hui Wang

PloS one · 2025 doi:10.1371/journal.pone.0335944

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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pmid:41212877
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2026-11-01T20:31:14Z
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2026-11-01T22:57:25Z
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title
Identification and validation of the important role of tryptophan-related gene CYP1B1 in the development and progression of sepsis.
doi
10.1371/journal.pone.0335944
pmid
41212877
authors array · 5 items
[0]
Li-Hong Chen
[1]
Wei-Ru Lin
[2]
Hui-Rong Hu
[3]
Zhi-Yuan Chen
[4]
Yan-Hui Wang
journal
PloS one
year
2025
abstract
BACKGROUND: Tryptophan metabolism is involved in the progression and immune response of multiple diseases. However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated. METHODS: We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. A serials of bioinformatics analysis, including batch normalization, differential analysis, and single-cell sequencing analysis were finished through R software. Finally, the effects of the candidate differential gene on sepsis progression were evaluated using transcription-quantitative polymerase chain reaction (RT-qPCR), transwell assays, western blot, and immunofluorescence staining. RESULTS: One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1. The transcriptional and translational level of CYP1B1 were obviously increased in the blood tissues. Notably, CYP1B1 exhibited great discriminative ability for the diagnosis of sepsis. Furthermore, single-cell sequencing analysis further indicated that CYP1B1 was primarily expressed in monocytes, and its' expression level was significantly upregulated in monocytes activated by sepsis/LPS. Knockdown of CYP1B1 dramatically decreased the proinflammatory cytokines expression, blocked the migration of monocytes, and inhibited the expression of tryptophan metabolism-related protein TDO2. CONCLUSION: CYP1B1 is involved in tryptophan metabolism and its upregulation can promote the progression and development of sepsis through activating monocytes.
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After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs).
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sections[4] "Selection of differentially expressed genes" paragraph 2
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After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs).
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All relevant data are within the paper and its Supporting Information files.
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One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1.
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sections[0] "Abstract" paragraph 3
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One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1.
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One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1.
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Dynamic changes in human single cell transcriptional signatures during fatal sepsis
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Development and Validation of a Novel Molecular Biomarker Diagnostic Test for the Early Detection of Sepsis
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GSM1692081
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GSM1692082
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GSM1692083
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GSM1692084
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GSM1692085
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GSM1692086
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GSM1692087
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GSM1692088
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GSM1692089
[398]
GSM1692090
[399]
GSM1692091
[400]
GSM1692092
[401]
GSM1692093
[402]
GSM1692094
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GSM1692095
[404]
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GSM1692098
[407]
GSM1692099
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[412]
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[414]
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[415]
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[417]
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[418]
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[419]
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[420]
GSM1692112
[421]
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[422]
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[423]
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[424]
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[425]
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[426]
GSM1692119
[427]
GSM1692120
[428]
GSM1692121
[429]
GSM1692122
[430]
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[431]
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[432]
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[433]
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[434]
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[435]
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[436]
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[437]
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[438]
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[439]
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[440]
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[441]
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[442]
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[443]
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[444]
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[445]
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[446]
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[447]
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[449]
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[450]
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[451]
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[452]
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[462]
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[463]
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[465]
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[466]
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[471]
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[472]
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[473]
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[474]
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[475]
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[476]
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[477]
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[478]
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[479]
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[480]
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[481]
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[482]
GSM1692176
[483]
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[484]
GSM1692178
[485]
GSM1692179
[486]
GSM1692180
[487]
GSM1692181
[488]
GSM1692182
[489]
GSM1692183
[490]
GSM1692184
[491]
GSM1692185
[492]
GSM1692186
[493]
GSM1692187
[494]
GSM1692188
[495]
GSM1692189
[496]
GSM1692190
[497]
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[498]
GSM1692192
[499]
GSM1692193
[500]
GSM1692194
[501]
GSM1692195
[502]
GSM1692196
[503]
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[504]
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[505]
GSM1692199
[506]
GSM1692200
[507]
GSM1692201
[508]
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[509]
GSM1692203
[510]
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[511]
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[512]
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[513]
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[514]
GSM1692208
[515]
GSM1692209
[516]
GSM1692210
[517]
GSM1692211
[518]
GSM1692212
[519]
GSM1692213
[520]
GSM1692214
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GSM1692215
[522]
GSM1692216
[523]
GSM1692217
[524]
GSM1692218
[525]
GSM1692219
[526]
GSM1692220
[527]
GSM1692221
[528]
GSM1692222
[529]
GSM1692223
[530]
GSM1692224
[531]
GSM1692225
[532]
GSM1692226
[533]
GSM1692227
[534]
GSM1692228
[535]
GSM1692229
[536]
GSM1692230
[537]
GSM1692231
[538]
GSM1692232
[539]
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GSM1692234
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GSM1692235
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[543]
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[544]
GSM1692239
[545]
GSM1692240
[546]
GSM1692241
[547]
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[548]
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[549]
GSM1692244
[550]
GSM1692245
[551]
GSM1692246
[552]
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[553]
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[554]
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[555]
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[556]
GSM1692251
[557]
GSM1692252
[558]
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[559]
GSM1692254
[560]
GSM1692255
[561]
GSM1692256
[562]
GSM1692257
[563]
GSM1692258
[564]
GSM1692259
[565]
GSM1692260
[566]
GSM1692261
[567]
GSM1692262
[568]
GSM1692263
[569]
GSM1692264
[570]
GSM1692265
[571]
GSM1692266
[572]
GSM1692267
[573]
GSM1692268
[574]
GSM1692269
[575]
GSM1692270
[576]
GSM1692271
[577]
GSM1692272
[578]
GSM1692273
[579]
GSM1692274
[580]
GSM1692275
[581]
GSM1692276
[582]
GSM1692277
[583]
GSM1692278
[584]
GSM1692279
[585]
GSM1692280
[586]
GSM1692281
[587]
GSM1692282
[588]
GSM1692283
[589]
GSM1692284
[590]
GSM1692286
[591]
GSM1692287
[592]
GSM1692288
[593]
GSM1692289
[594]
GSM1692290
[595]
GSM1692291
[596]
GSM1692292
[597]
GSM1692293
[598]
GSM1692294
[599]
GSM1692295
[600]
GSM1692296
[601]
GSM1692297
[602]
GSM1692298
[603]
GSM1692299
[604]
GSM1692300
[605]
GSM1692301
[606]
GSM1692302
[607]
GSM1692303
[608]
GSM1692304
[609]
GSM1692305
[610]
GSM1692306
[611]
GSM1692307
[612]
GSM1692308
[613]
GSM1692309
[614]
GSM1692310
[615]
GSM1692311
[616]
GSM1692312
[617]
GSM1692313
[618]
GSM1692314
[619]
GSM1692315
[620]
GSM1692316
[621]
GSM1692317
[622]
GSM1692318
[623]
GSM1692319
[624]
GSM1692320
[625]
GSM1692321
[626]
GSM1692322
[627]
GSM1692323
[628]
GSM1692324
[629]
GSM1692326
[630]
GSM1692327
[631]
GSM1692328
[632]
GSM1692329
[633]
GSM1692330
[634]
GSM1692331
[635]
GSM1692332
[636]
GSM1692333
[637]
GSM1692334
[638]
GSM1692335
[639]
GSM1692336
[640]
GSM1692337
[641]
GSM1692338
[642]
GSM1692339
[643]
GSM1692340
[644]
GSM1692341
[645]
GSM1692342
[646]
GSM1692343
[647]
GSM1692344
[648]
GSM1692345
[649]
GSM1692346
[650]
GSM1692347
[651]
GSM1692348
[652]
GSM1692349
[653]
GSM1692350
[654]
GSM1692352
[655]
GSM1692353
[656]
GSM1692354
[657]
GSM1692355
[658]
GSM1692356
[659]
GSM1692357
[660]
GSM1692358
[661]
GSM1692359
[662]
GSM1692360
[663]
GSM1692361
[664]
GSM1692362
[665]
GSM1692363
[666]
GSM1692364
[667]
GSM1692365
[668]
GSM1692366
[669]
GSM1692367
[670]
GSM1692368
[671]
GSM1692369
[672]
GSM1692370
[673]
GSM1692371
[674]
GSM1692372
[675]
GSM1692373
[676]
GSM1692374
[677]
GSM1692375
[678]
GSM1692376
[679]
GSM1692377
[680]
GSM1692378
[681]
GSM1692379
[682]
GSM1692380
[683]
GSM1692381
[684]
GSM1692382
[685]
GSM1692383
[686]
GSM1692384
[687]
GSM1692385
[688]
GSM1692386
[689]
GSM1692387
[690]
GSM1692388
[691]
GSM1692389
[692]
GSM1692390
[693]
GSM1692391
[694]
GSM1692392
[695]
GSM1692393
[696]
GSM1692394
[697]
GSM1692395
[698]
GSM1692396
[699]
GSM1692397
[700]
GSM1692398
[701]
GSM1692399
[702]
GSM1692400
[703]
GSM1692402
[704]
GSM1692404
[705]
GSM1692405
[706]
GSM1692406
[707]
GSM1692407
[708]
GSM1692408
[709]
GSM1692409
[710]
GSM1692410
[711]
GSM1692411
[712]
GSM1692412
[713]
GSM1692413
[714]
GSM1692414
[715]
GSM1692415
[716]
GSM1692416
[717]
GSM1692417
[718]
GSM1692418
[719]
GSM1692419
[720]
GSM1692420
[721]
GSM1692421
[722]
GSM1692422
[723]
GSM1692423
[724]
GSM1692424
[725]
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[726]
GSM1692426
[727]
GSM1692427
[728]
GSM1692428
[729]
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GSM1692430
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GSM1692433
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GSM1692434
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GSM1692435
[736]
GSM1692436
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GSM1692440
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GSM1692442
[743]
GSM1692443
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GSM1692444
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GSM1692445
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GSM1692446
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GSM1692447
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GSM1692448
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GSM1692449
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GSM1692450
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GSM1692451
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[754]
GSM1692454
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GSM1692455
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GSM1692456
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GSM1692457
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GSM1692458
[759]
GSM1692459
[760]
GSM1692460
[761]
GSM1692461
[762]
GSM1692462
[763]
GSM1692463
[764]
GSM1692465
[765]
GSM1692466
[766]
GSM1692467
[767]
GSM1692468
[768]
GSM1692469
[769]
GSM1692470
[770]
GSM1692471
[771]
GSM1692472
[772]
GSM1692473
[773]
GSM1692474
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GSM1692475
[775]
GSM1692476
[776]
GSM1692477
[777]
GSM1692478
[778]
GSM1692479
[779]
GSM1692480
[780]
GSM1692481
[781]
GSM1692482
[782]
GSM1692483
[783]
GSM1692484
[784]
GSM1692485
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GSM1692487
[786]
GSM1692488
[787]
GSM1692489
[788]
GSM1692490
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GSM1692491
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GSM1692492
[791]
GSM1692493
[792]
GSM1692494
[793]
GSM1692495
[794]
GSM1692496
[795]
GSM1692497
[796]
GSM1692498
[797]
GSM1692499
[798]
GSM1692501
[799]
GSM1692502
[800]
GSM1692503
[801]
GSM1692504
sample_count
802
group_sizes
null
group_sizes_basis
null
platform
13667
taxon
Homo sapiens
title
Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE69063
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69063
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE69063
version
null
note
All relevant data are within the paper and its Supporting Information files.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All relevant data are within the paper and its Supporting Information files.
access_statement_kind
data_availability_statement
sample_accessions array · 153 items
[0]
GSM1691688
[1]
GSM1691689
[2]
GSM1691690
[3]
GSM1691691
[4]
GSM1691692
[5]
GSM1691693
[6]
GSM1691694
[7]
GSM1691695
[8]
GSM1691696
[9]
GSM1691697
[10]
GSM1691698
[11]
GSM1691699
[12]
GSM1691700
[13]
GSM1691701
[14]
GSM1691702
[15]
GSM1691703
[16]
GSM1691704
[17]
GSM1691705
[18]
GSM1691706
[19]
GSM1691707
[20]
GSM1691708
[21]
GSM1691709
[22]
GSM1691710
[23]
GSM1691711
[24]
GSM1691712
[25]
GSM1691713
[26]
GSM1691714
[27]
GSM1691715
[28]
GSM1691716
[29]
GSM1691717
[30]
GSM1691718
[31]
GSM1691719
[32]
GSM1691720
[33]
GSM1691721
[34]
GSM1691722
[35]
GSM1691723
[36]
GSM1691724
[37]
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[38]
GSM1691726
[39]
GSM1691727
[40]
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[41]
GSM1691729
[42]
GSM1691730
[43]
GSM1691731
[44]
GSM1691732
[45]
GSM1691733
[46]
GSM1691734
[47]
GSM1691735
[48]
GSM1691736
[49]
GSM1691737
[50]
GSM1691738
[51]
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[52]
GSM1691740
[53]
GSM1691741
[54]
GSM1691742
[55]
GSM1691743
[56]
GSM1691744
[57]
GSM1691745
[58]
GSM1691746
[59]
GSM1691747
[60]
GSM1691748
[61]
GSM1691749
[62]
GSM1691750
[63]
GSM1691751
[64]
GSM1691752
[65]
GSM1691753
[66]
GSM1691754
[67]
GSM1691755
[68]
GSM1691756
[69]
GSM1691757
[70]
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[71]
GSM1691759
[72]
GSM1691760
[73]
GSM1691761
[74]
GSM1691762
[75]
GSM1691763
[76]
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[77]
GSM1691765
[78]
GSM1691766
[79]
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[80]
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GSM1691770
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GSM1691775
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GSM1691778
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GSM1691814
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GSM1691816
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GSM1691818
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GSM1691820
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GSM1691821
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GSM1691822
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GSM1691823
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GSM1691824
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GSM1691825
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GSM1691826
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GSM1691827
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GSM1691828
[141]
GSM1691829
[142]
GSM1691830
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GSM1691831
[144]
GSM1691832
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GSM1691833
[146]
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GSM1691835
[148]
GSM1691836
[149]
GSM1691837
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GSM1691838
[151]
GSM1691839
[152]
GSM1691840
sample_count
153
group_sizes
null
group_sizes_basis
null
platform
19983
taxon
Homo sapiens
title
Gene expression patterns in blood during human anaphylaxis, trauma, and sepsis
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE69528
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69528
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE69528
version
null
note
All relevant data are within the paper and its Supporting Information files.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All relevant data are within the paper and its Supporting Information files.
access_statement_kind
data_availability_statement
sample_accessions array · 138 items
[0]
GSM1702888
[1]
GSM1702889
[2]
GSM1702890
[3]
GSM1702891
[4]
GSM1702892
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GSM1702893
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GSM1702894
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GSM1702895
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GSM1702896
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GSM1702897
[10]
GSM1702898
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GSM1702900
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GSM1702902
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GSM1702903
[16]
GSM1702904
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GSM1702905
[18]
GSM1702906
[19]
GSM1702907
[20]
GSM1702908
[21]
GSM1702909
[22]
GSM1702910
[23]
GSM1702911
[24]
GSM1702912
[25]
GSM1702913
[26]
GSM1702914
[27]
GSM1702915
[28]
GSM1702916
[29]
GSM1702917
[30]
GSM1702918
[31]
GSM1702919
[32]
GSM1702920
[33]
GSM1702921
[34]
GSM1702922
[35]
GSM1702923
[36]
GSM1702924
[37]
GSM1702925
[38]
GSM1702926
[39]
GSM1702927
[40]
GSM1702928
[41]
GSM1702929
[42]
GSM1702930
[43]
GSM1702931
[44]
GSM1702932
[45]
GSM1702933
[46]
GSM1702934
[47]
GSM1702935
[48]
GSM1702936
[49]
GSM1702937
[50]
GSM1702938
[51]
GSM1702939
[52]
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[55]
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[68]
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[69]
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[70]
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[71]
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[72]
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[73]
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[75]
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[82]
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[83]
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[85]
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[86]
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[88]
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[89]
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[91]
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[92]
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[93]
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GSM1702983
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[102]
GSM1702990
[103]
GSM1702991
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[112]
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[113]
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[114]
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[116]
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[119]
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[120]
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[122]
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[123]
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[125]
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[126]
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[127]
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[128]
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[129]
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[130]
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[131]
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[132]
GSM1703020
[133]
GSM1703021
[134]
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[135]
GSM1703023
[136]
GSM1703024
[137]
GSM1703025
sample_count
138
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
A Blood Transcriptional Diagnostic Assay for Septicemic Melioidosis
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE95233
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE95233
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE95233
version
null
note
All relevant data are within the paper and its Supporting Information files.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All relevant data are within the paper and its Supporting Information files.
access_statement_kind
data_availability_statement
sample_accessions array · 124 items
[0]
GSM2500349
[1]
GSM2500350
[2]
GSM2500351
[3]
GSM2500352
[4]
GSM2500353
[5]
GSM2500354
[6]
GSM2500355
[7]
GSM2500356
[8]
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[10]
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[15]
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GSM2500369
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GSM2500370
[22]
GSM2500371
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GSM2500372
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GSM2500373
[25]
GSM2500374
[26]
GSM2500375
[27]
GSM2500376
[28]
GSM2500377
[29]
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[30]
GSM2500379
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GSM2500384
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[121]
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[123]
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sample_count
124
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Fractalkine receptor CX3CR1 and leukocyte Ig-like receptor B2 LILRB2 are prognostic biomarkers in septic shock
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 12 items
[0]
asset:data:geo:GSE167363 not downloaded
[1]
asset:data:geo:GSE167363 licence not read
[2]
asset:data:geo:GSE28750 not downloaded
[3]
asset:data:geo:GSE28750 licence not read
[4]
asset:data:geo:GSE65682 not downloaded
[5]
asset:data:geo:GSE65682 licence not read
[6]
asset:data:geo:GSE69063 not downloaded
[7]
asset:data:geo:GSE69063 licence not read
[8]
asset:data:geo:GSE69528 not downloaded
[9]
asset:data:geo:GSE69528 licence not read
[10]
asset:data:geo:GSE95233 not downloaded
[11]
asset:data:geo:GSE95233 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs).
[1] object · 10 fields
id
method-2
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group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
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id
method-3
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principal_component_analysis
specific
pca
label
Principal component analysis
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[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
band
high
quote
PCA
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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
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expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
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 · 8 items
[0]
GSE28750
[1]
GSE65682
[2]
GSE69528
[3]
and GSE137342
[4]
GSE167363
[5]
GSE69063
[6]
GSE95233
[7]
and GSE131761
resolved_accessions array · 6 items
[0]
GSE28750
[1]
GSE65682
[2]
GSE69528
[3]
GSE167363
[4]
GSE69063
[5]
GSE95233
statements array · 1 item
[0]
All relevant data are within the paper and its Supporting Information files.
basis
The paper names GSE28750, GSE65682, GSE69528, GSE167363, GSE69063, GSE95233 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:41212877
[1]
data:geo:GSE167363
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE167363
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T20:05:15Z
independence
single_reader
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method
verbatim
availability
verbatim
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5
usage object · 3 fields
prompt_tokens
10897
completion_tokens
2067
cached_tokens
188
stages array · 1 item
[0] object · 4 fields
id
extraction
state
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reader
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minimax
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review.human_critique
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state
absent
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mode
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[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
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pmid:41212877
type
paper
label
pmid:41212877
[1] object · 3 fields
id
source:pmid:41212877
type
manuscript
label
PMID 41212877 full text
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id
data:geo:GSE167363
type
dataset
label
GEO GSE167363
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:41212877
type
paper
label
pmid:41212877
[1] object · 3 fields
id
source:pmid:41212877
type
manuscript
label
PMID 41212877 full text
[2] object · 3 fields
id
data:geo:GSE167363
type
dataset
label
GEO GSE167363
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-41212877
type
extraction
used array · 1 item
[0]
source:pmid:41212877
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE167363
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE167363
agent
agent:corpus-assay-engine
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[0] object · 3 fields
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agent:corpus-assay-engine
type
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id
agent:minimax-reader
type
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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lineage object · 4 fields
parent_id
pmid:41212877
parent_hash
sha256:0d9cd05fa3779745c8abe3393145ecb8c7be4049d3177f201c88186d59158d35
fork_of
null
gaps array · 17 items
[0]
asset:data:geo:GSE167363 licence not read
[1]
asset:data:geo:GSE167363 not downloaded
[2]
asset:data:geo:GSE28750 licence not read
[3]
asset:data:geo:GSE28750 not downloaded
[4]
asset:data:geo:GSE65682 licence not read
[5]
asset:data:geo:GSE65682 not downloaded
[6]
asset:data:geo:GSE69063 licence not read
[7]
asset:data:geo:GSE69063 not downloaded
[8]
asset:data:geo:GSE69528 licence not read
[9]
asset:data:geo:GSE69528 not downloaded
[10]
asset:data:geo:GSE95233 licence not read
[11]
asset:data:geo:GSE95233 not downloaded
[12]
execution.not_run
[13]
method.reader_differs_from_extractor
[14]
review.human_critique
[15]
review.independent_reader
[16]
review.machine_critique
assays array · 6 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
tion-quantitative polymerase chain reaction (RT-qPCR), transwell assays, western blot, and immuno
[1]
n-quantitative polymerase chain reaction (RT-qPCR), transwell assays, western blot, and immuno
order_basis
paper_text_order:803
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assay:1
[1] object · 11 fields
role
data_generation
definition_id
western_blot
definition_version
99e1195c7d6f
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assay_lexicon
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evidence array · 1 item
[0]
chain reaction (RT-qPCR), transwell assays, western blot, and immunofluorescence staining. RESULTS: O
order_basis
paper_text_order:832
id
assay:2
[2] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
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source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
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evidence array · 1 item
[0]
T-qPCR), transwell assays, western blot, and immunofluorescence staining. RESULTS: One tryptophan metabolism
order_basis
paper_text_order:849
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assay:3
[3] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
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[0]
ulated in monocytes activated by sepsis/LPS. Knockdown of CYP1B1 dramatically decreased the proinfl
[1]
Methods and material Cell culture and transfection Human monocyte lines THP-1 was purchased fro
[2]
ma Genetics (Shanghai, China). For transient transfection, THP-1 cells were transfected with siRNA usi
[3]
For transient transfection, THP-1 cells were transfected with siRNA using a transfection reagent (Lip
order_basis
paper_text_order:1358
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assay:4
[4] object · 11 fields
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assay_lexicon
99e1195c7d6f
confidence
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evidence array · 1 item
[0]
Sciences (Shanghai, China). THP-1 cells were cultured in RPMI 1640 medium (Gibco, ThermoFisher Scient
order_basis
paper_text_order:1898
id
assay:5
[5] object · 11 fields
role
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differential_expression
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f2132e96ae6c7a4e
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[0]
normalise_counts
[1]
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[2]
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs).
order_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:41212877", "kind": "science-record", "revision": 4, "content_hash": "sha256:be6a9e433713df5c76dc24c55029a770a3dcab62cb1542fea8746bdc55760f05", "created_at": "2026-11-01T20:31:14Z", "updated_at": "2026-11-01T22:57:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and validation of the important role of tryptophan-related gene CYP1B1 in the development and progression of sepsis.", "doi": "10.1371/journal.pone.0335944", "pmid": "41212877", "authors": ["Li-Hong Chen", "Wei-Ru Lin", "Hui-Rong Hu", "Zhi-Yuan Chen", "Yan-Hui Wang"], "journal": "PloS one", "year": 2025, "abstract": "BACKGROUND: Tryptophan metabolism is involved in the progression and immune response of multiple diseases. However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.\nMETHODS: We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. A serials of bioinformatics analysis, including batch normalization, differential analysis, and single-cell sequencing analysis were finished through R software. Finally, the effects of the candidate differential gene on sepsis progression were evaluated using transcription-quantitative polymerase chain reaction (RT-qPCR), transwell assays, western blot, and immunofluorescence staining.\nRESULTS: One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1. The transcriptional and translational level of CYP1B1 were obviously increased in the blood tissues. Notably, CYP1B1 exhibited great discriminative ability for the diagnosis of sepsis. Furthermore, single-cell sequencing analysis further indicated that CYP1B1 was primarily expressed in monocytes, and its' expression level was significantly upregulated in monocytes activated by sepsis/LPS. Knockdown of CYP1B1 dramatically decreased the proinflammatory cytokines expression, blocked the migration of monocytes, and inhibited the expression of tryptophan metabolism-related protein TDO2.\nCONCLUSION: CYP1B1 is involved in tryptophan metabolism and its upregulation can promote the progression and development of sepsis through activating monocytes.", "claims": [{"id": "claim-method", "statement": "After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41212877", "locator": "sections[4] \"Selection of differentially expressed genes\" paragraph 2", "quote": "After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All relevant data are within the paper and its Supporting Information files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41212877", "locator": "sections[22] \"Data Availability\" paragraph 2", "quote": "All relevant data are within the paper and its Supporting Information files."}], "state": "complete"}, {"id": "claim-target-result", "statement": "One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41212877", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "One tryptophan metabolism-related DEG for sepsis were obtained, namely CYP1B1.", "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:41212877"], "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. 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE28750", "GSE65682", "GSE69528", "and GSE137342", "GSE167363", "GSE69063", "GSE95233", "and GSE131761"], "resolved_accessions": ["GSE28750", "GSE65682", "GSE69528", "GSE167363", "GSE69063", "GSE95233"], "statements": ["All relevant data are within the paper and its Supporting Information files."], "basis": "The paper names GSE28750, GSE65682, GSE69528, GSE167363, GSE69063, GSE95233 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:41212877", "data:geo:GSE167363"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE167363"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T20:05:15Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10897, "completion_tokens": 2067, "cached_tokens": 188}}, "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:41212877", "type": "paper", "label": "pmid:41212877"}, {"id": "source:pmid:41212877", "type": "manuscript", "label": "PMID 41212877 full text"}, {"id": "data:geo:GSE167363", "type": "dataset", "label": "GEO GSE167363"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:41212877", "type": "paper", "label": "pmid:41212877"}, {"id": "source:pmid:41212877", "type": "manuscript", "label": "PMID 41212877 full text"}, {"id": "data:geo:GSE167363", "type": "dataset", "label": "GEO GSE167363"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-41212877", "type": "extraction", "used": ["source:pmid:41212877"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE167363", "type": "accession_resolution", "used": ["data:geo:GSE167363"], "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:41212877", "parent_hash": "sha256:0d9cd05fa3779745c8abe3393145ecb8c7be4049d3177f201c88186d59158d35", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE167363 licence not read", "asset:data:geo:GSE167363 not downloaded", "asset:data:geo:GSE28750 licence not read", "asset:data:geo:GSE28750 not downloaded", "asset:data:geo:GSE65682 licence not read", "asset:data:geo:GSE65682 not downloaded", "asset:data:geo:GSE69063 licence not read", "asset:data:geo:GSE69063 not downloaded", "asset:data:geo:GSE69528 licence not read", "asset:data:geo:GSE69528 not downloaded", "asset:data:geo:GSE95233 licence not read", "asset:data:geo:GSE95233 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tion-quantitative polymerase chain reaction (RT-qPCR), transwell assays, western blot, and immuno", "n-quantitative polymerase chain reaction (RT-qPCR), transwell assays, western blot, and immuno"], "order_basis": "paper_text_order:803", "id": "assay:1"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["chain reaction (RT-qPCR), transwell assays, western blot, and immunofluorescence staining. RESULTS: O"], "order_basis": "paper_text_order:832", "id": "assay:2"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["T-qPCR), transwell assays, western blot, and immunofluorescence staining. RESULTS: One tryptophan metabolism"], "order_basis": "paper_text_order:849", "id": "assay:3"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ulated in monocytes activated by sepsis/LPS. Knockdown of CYP1B1 dramatically decreased the proinfl", "Methods and material Cell culture and transfection Human monocyte lines THP-1 was purchased fro", "ma Genetics (Shanghai, China). For transient transfection, THP-1 cells were transfected with siRNA usi", "For transient transfection, THP-1 cells were transfected with siRNA using a transfection reagent (Lip"], "order_basis": "paper_text_order:1358", "id": "assay:4"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["Sciences (Shanghai, China). THP-1 cells were cultured in RPMI 1640 medium (Gibco, ThermoFisher Scient"], "order_basis": "paper_text_order:1898", "id": "assay:5"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["After merging the four datasets, differential analysis was performed using the Limma R package to screen differentially expressed genes (DEGs)."], "order_basis": "consumes_earlier_output", "id": "assay:6"}]}