Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:37496025

Short-term smoking cessation leads to a universal decrease in whole blood genomic DNA methylation in patients with a smoking history.

Junyi Shang · Xinran Nie · Yanan Qi · Jing Zhou · Yong Qi

World journal of surgical oncology · 2023 doi:10.1186/s12957-023-03099-2

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:37496025
kind
science-record
content_hash
sha256:dfac03361513d921fa087722f3f140cd62c1b3c1b3da25f7ec3440c7fbe5b24e
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:02:16Z
updated_at
2026-11-01T22:09:57Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Short-term smoking cessation leads to a universal decrease in whole blood genomic DNA methylation in patients with a smoking history.
doi
10.1186/s12957-023-03099-2
pmid
37496025
authors array · 5 items
[0]
Junyi Shang
[1]
Xinran Nie
[2]
Yanan Qi
[3]
Jing Zhou
[4]
Yong Qi
journal
World journal of surgical oncology
year
2023
abstract
BACKGROUND: Epigenetics is involved in various human diseases. Smoking is one of the most common environmental factors causing epigenetic changes. The DNA methylation changes and mechanisms after quitting smoking have yet to be defined. The present study examined the changes in DNA methylation levels before and after short-term smoking cessation and explored the potential mechanism. METHODS: Whole blood and clinical data were collected from 8 patients before and after short-term smoking cessation, DNA methylation was assessed, and differentially methylated sites were analyzed, followed by a comprehensive analysis of the differentially methylated sites with clinical data. GO/KEGG enrichment and protein-protein interaction (PPI) network analyses identified the hub genes. The differentially methylated sites between former and current smokers in GSE50660 from the GEO database were detected by GEO2R. Then, a Venn analysis was carried out using the differentially methylated sites. GO/KEGG enrichment analysis was performed on the genes corresponding to the common DNA methylation sites, the PPI network was constructed, and hub genes were predicted. The enriched genes associated with the cell cycle were selected, and the pan-cancer gene expression and clinical significance in lung cancer were analyzed based on the TCGA database. RESULTS: Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified. The DNA methylation levels were altered according to the clinical data (body weight, expiratory, and tobacco dependence score). Enrichment analysis, construction of the PPI network, and pan-cancer analysis suggested that smoking cessation may affect various biological processes. CONCLUSIONS: Smoking cessation leads to epigenetic changes, mainly decreased in the decline of most DNA methylation levels. Bioinformatics further identified the biologically relevant changes after short-term smoking cessation.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Paired analysis of the methylation levels of 8 patients before and after short-term smoking cessation showed differential expression in 3878 CpG sites (P < 0.001) (Fig. 1a).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37496025
locator
sections[9] "Altered DNA methylation levels before and after short-term smoking cessation" paragraph 2
quote
Paired analysis of the methylation levels of 8 patients before and after short-term smoking cessation showed differential expression in 3878 CpG sites (P < 0.001) (Fig. 1a).
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37496025
locator
sections[20] "Availability of data and materials" paragraph 2
quote
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37496025
locator
sections[0] "Abstract" paragraph 3
quote
Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified.
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:37496025
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE201532
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE201532
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 3 items
[0] object · 15 fields
id
source:pmid:37496025
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1186/s12957-023-03099-2
sha256
sha256:844aac15bd218b0b56e6c4a3f9a2bda027583a7838f876e5a28dc0edb9f94699
bytes
40281
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1186/s12957-023-03099-2
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC10369823
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE201532
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=GSE201532
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE201532
version
null
note
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
access_statement_kind
data_availability_statement
sample_accessions array · 16 items
[0]
GSM6066162
[1]
GSM6066163
[2]
GSM6066164
[3]
GSM6066165
[4]
GSM6066166
[5]
GSM6066167
[6]
GSM6066168
[7]
GSM6066169
[8]
GSM6066170
[9]
GSM6066171
[10]
GSM6066172
[11]
GSM6066173
[12]
GSM6066174
[13]
GSM6066175
[14]
GSM6066176
[15]
GSM6066177
sample_count
16
group_sizes
null
group_sizes_basis
null
platform
21145
taxon
Homo sapiens
title
Short-term smoking cessation leads to a universal downregulation of DNA methylation in patients with a smoking history
resolution_checked_at
2026-11-01T19:09:46Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE50660
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=GSE50660
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE50660
version
null
note
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
access_statement_kind
data_availability_statement
sample_accessions array · 464 items
[0]
GSM1225377
[1]
GSM1225378
[2]
GSM1225379
[3]
GSM1225380
[4]
GSM1225381
[5]
GSM1225382
[6]
GSM1225383
[7]
GSM1225384
[8]
GSM1225385
[9]
GSM1225386
[10]
GSM1225387
[11]
GSM1225388
[12]
GSM1225389
[13]
GSM1225390
[14]
GSM1225391
[15]
GSM1225392
[16]
GSM1225393
[17]
GSM1225394
[18]
GSM1225395
[19]
GSM1225396
[20]
GSM1225397
[21]
GSM1225398
[22]
GSM1225399
[23]
GSM1225400
[24]
GSM1225401
[25]
GSM1225402
[26]
GSM1225403
[27]
GSM1225404
[28]
GSM1225405
[29]
GSM1225406
[30]
GSM1225407
[31]
GSM1225408
[32]
GSM1225409
[33]
GSM1225410
[34]
GSM1225411
[35]
GSM1225412
[36]
GSM1225413
[37]
GSM1225414
[38]
GSM1225415
[39]
GSM1225416
[40]
GSM1225417
[41]
GSM1225418
[42]
GSM1225419
[43]
GSM1225420
[44]
GSM1225421
[45]
GSM1225422
[46]
GSM1225423
[47]
GSM1225424
[48]
GSM1225425
[49]
GSM1225426
[50]
GSM1225427
[51]
GSM1225428
[52]
GSM1225429
[53]
GSM1225430
[54]
GSM1225431
[55]
GSM1225432
[56]
GSM1225433
[57]
GSM1225434
[58]
GSM1225435
[59]
GSM1225436
[60]
GSM1225437
[61]
GSM1225438
[62]
GSM1225439
[63]
GSM1225440
[64]
GSM1225441
[65]
GSM1225442
[66]
GSM1225443
[67]
GSM1225444
[68]
GSM1225445
[69]
GSM1225446
[70]
GSM1225447
[71]
GSM1225448
[72]
GSM1225449
[73]
GSM1225450
[74]
GSM1225451
[75]
GSM1225452
[76]
GSM1225453
[77]
GSM1225454
[78]
GSM1225455
[79]
GSM1225456
[80]
GSM1225457
[81]
GSM1225458
[82]
GSM1225459
[83]
GSM1225460
[84]
GSM1225461
[85]
GSM1225462
[86]
GSM1225463
[87]
GSM1225464
[88]
GSM1225465
[89]
GSM1225466
[90]
GSM1225467
[91]
GSM1225468
[92]
GSM1225469
[93]
GSM1225470
[94]
GSM1225471
[95]
GSM1225472
[96]
GSM1225473
[97]
GSM1225474
[98]
GSM1225475
[99]
GSM1225476
[100]
GSM1225477
[101]
GSM1225478
[102]
GSM1225479
[103]
GSM1225480
[104]
GSM1225481
[105]
GSM1225482
[106]
GSM1225483
[107]
GSM1225484
[108]
GSM1225485
[109]
GSM1225486
[110]
GSM1225487
[111]
GSM1225488
[112]
GSM1225489
[113]
GSM1225490
[114]
GSM1225491
[115]
GSM1225492
[116]
GSM1225493
[117]
GSM1225494
[118]
GSM1225495
[119]
GSM1225496
[120]
GSM1225497
[121]
GSM1225498
[122]
GSM1225499
[123]
GSM1225500
[124]
GSM1225501
[125]
GSM1225502
[126]
GSM1225503
[127]
GSM1225504
[128]
GSM1225505
[129]
GSM1225506
[130]
GSM1225507
[131]
GSM1225508
[132]
GSM1225509
[133]
GSM1225510
[134]
GSM1225511
[135]
GSM1225512
[136]
GSM1225513
[137]
GSM1225514
[138]
GSM1225515
[139]
GSM1225516
[140]
GSM1225517
[141]
GSM1225518
[142]
GSM1225519
[143]
GSM1225520
[144]
GSM1225521
[145]
GSM1225522
[146]
GSM1225523
[147]
GSM1225524
[148]
GSM1225525
[149]
GSM1225526
[150]
GSM1225527
[151]
GSM1225528
[152]
GSM1225529
[153]
GSM1225530
[154]
GSM1225531
[155]
GSM1225532
[156]
GSM1225533
[157]
GSM1225534
[158]
GSM1225535
[159]
GSM1225536
[160]
GSM1225537
[161]
GSM1225538
[162]
GSM1225539
[163]
GSM1225540
[164]
GSM1225541
[165]
GSM1225542
[166]
GSM1225543
[167]
GSM1225544
[168]
GSM1225545
[169]
GSM1225546
[170]
GSM1225547
[171]
GSM1225548
[172]
GSM1225549
[173]
GSM1225550
[174]
GSM1225551
[175]
GSM1225552
[176]
GSM1225553
[177]
GSM1225554
[178]
GSM1225555
[179]
GSM1225556
[180]
GSM1225557
[181]
GSM1225558
[182]
GSM1225559
[183]
GSM1225560
[184]
GSM1225561
[185]
GSM1225562
[186]
GSM1225563
[187]
GSM1225564
[188]
GSM1225565
[189]
GSM1225566
[190]
GSM1225567
[191]
GSM1225568
[192]
GSM1225569
[193]
GSM1225570
[194]
GSM1225571
[195]
GSM1225572
[196]
GSM1225573
[197]
GSM1225574
[198]
GSM1225575
[199]
GSM1225576
[200]
GSM1225577
[201]
GSM1225578
[202]
GSM1225579
[203]
GSM1225580
[204]
GSM1225581
[205]
GSM1225582
[206]
GSM1225583
[207]
GSM1225584
[208]
GSM1225585
[209]
GSM1225586
[210]
GSM1225587
[211]
GSM1225588
[212]
GSM1225589
[213]
GSM1225590
[214]
GSM1225591
[215]
GSM1225592
[216]
GSM1225593
[217]
GSM1225594
[218]
GSM1225595
[219]
GSM1225596
[220]
GSM1225597
[221]
GSM1225598
[222]
GSM1225599
[223]
GSM1225600
[224]
GSM1225601
[225]
GSM1225602
[226]
GSM1225603
[227]
GSM1225604
[228]
GSM1225605
[229]
GSM1225606
[230]
GSM1225607
[231]
GSM1225608
[232]
GSM1225609
[233]
GSM1225610
[234]
GSM1225611
[235]
GSM1225612
[236]
GSM1225613
[237]
GSM1225614
[238]
GSM1225615
[239]
GSM1225616
[240]
GSM1225617
[241]
GSM1225618
[242]
GSM1225619
[243]
GSM1225620
[244]
GSM1225621
[245]
GSM1225622
[246]
GSM1225623
[247]
GSM1225624
[248]
GSM1225625
[249]
GSM1225626
[250]
GSM1225627
[251]
GSM1225628
[252]
GSM1225629
[253]
GSM1225630
[254]
GSM1225631
[255]
GSM1225632
[256]
GSM1225633
[257]
GSM1225634
[258]
GSM1225635
[259]
GSM1225636
[260]
GSM1225637
[261]
GSM1225638
[262]
GSM1225639
[263]
GSM1225640
[264]
GSM1225641
[265]
GSM1225642
[266]
GSM1225643
[267]
GSM1225644
[268]
GSM1225645
[269]
GSM1225646
[270]
GSM1225647
[271]
GSM1225648
[272]
GSM1225649
[273]
GSM1225650
[274]
GSM1225651
[275]
GSM1225652
[276]
GSM1225653
[277]
GSM1225654
[278]
GSM1225655
[279]
GSM1225656
[280]
GSM1225657
[281]
GSM1225658
[282]
GSM1225659
[283]
GSM1225660
[284]
GSM1225661
[285]
GSM1225662
[286]
GSM1225663
[287]
GSM1225664
[288]
GSM1225665
[289]
GSM1225666
[290]
GSM1225667
[291]
GSM1225668
[292]
GSM1225669
[293]
GSM1225670
[294]
GSM1225671
[295]
GSM1225672
[296]
GSM1225673
[297]
GSM1225674
[298]
GSM1225675
[299]
GSM1225676
[300]
GSM1225677
[301]
GSM1225678
[302]
GSM1225679
[303]
GSM1225680
[304]
GSM1225681
[305]
GSM1225682
[306]
GSM1225683
[307]
GSM1225684
[308]
GSM1225685
[309]
GSM1225686
[310]
GSM1225687
[311]
GSM1225688
[312]
GSM1225689
[313]
GSM1225690
[314]
GSM1225691
[315]
GSM1225692
[316]
GSM1225693
[317]
GSM1225694
[318]
GSM1225695
[319]
GSM1225696
[320]
GSM1225697
[321]
GSM1225698
[322]
GSM1225699
[323]
GSM1225700
[324]
GSM1225701
[325]
GSM1225702
[326]
GSM1225703
[327]
GSM1225704
[328]
GSM1225705
[329]
GSM1225706
[330]
GSM1225707
[331]
GSM1225708
[332]
GSM1225709
[333]
GSM1225710
[334]
GSM1225711
[335]
GSM1225712
[336]
GSM1225713
[337]
GSM1225714
[338]
GSM1225715
[339]
GSM1225716
[340]
GSM1225725
[341]
GSM1225726
[342]
GSM1225727
[343]
GSM1225728
[344]
GSM1225729
[345]
GSM1225730
[346]
GSM1225731
[347]
GSM1225732
[348]
GSM1225733
[349]
GSM1225734
[350]
GSM1225735
[351]
GSM1225736
[352]
GSM1225737
[353]
GSM1225738
[354]
GSM1225739
[355]
GSM1225740
[356]
GSM1225741
[357]
GSM1225742
[358]
GSM1225743
[359]
GSM1225744
[360]
GSM1225745
[361]
GSM1225746
[362]
GSM1225747
[363]
GSM1225748
[364]
GSM1225749
[365]
GSM1225750
[366]
GSM1225751
[367]
GSM1225752
[368]
GSM1225753
[369]
GSM1225754
[370]
GSM1225755
[371]
GSM1225756
[372]
GSM1225757
[373]
GSM1225758
[374]
GSM1225759
[375]
GSM1225760
[376]
GSM1225761
[377]
GSM1225762
[378]
GSM1225763
[379]
GSM1225764
[380]
GSM1225792
[381]
GSM1225793
[382]
GSM1225794
[383]
GSM1225795
[384]
GSM1225796
[385]
GSM1225797
[386]
GSM1225798
[387]
GSM1225799
[388]
GSM1225801
[389]
GSM1225802
[390]
GSM1225803
[391]
GSM1225805
[392]
GSM1225807
[393]
GSM1225809
[394]
GSM1225810
[395]
GSM1225811
[396]
GSM1225812
[397]
GSM1225813
[398]
GSM1225814
[399]
GSM1225815
[400]
GSM1225828
[401]
GSM1225829
[402]
GSM1225830
[403]
GSM1225831
[404]
GSM1225832
[405]
GSM1225833
[406]
GSM1225834
[407]
GSM1225835
[408]
GSM1225836
[409]
GSM1225837
[410]
GSM1225838
[411]
GSM1225839
[412]
GSM1225840
[413]
GSM1225841
[414]
GSM1225842
[415]
GSM1225843
[416]
GSM1225844
[417]
GSM1225845
[418]
GSM1225846
[419]
GSM1225847
[420]
GSM1225848
[421]
GSM1225849
[422]
GSM1225850
[423]
GSM1225851
[424]
GSM1225852
[425]
GSM1225853
[426]
GSM1225854
[427]
GSM1225855
[428]
GSM1225856
[429]
GSM1225857
[430]
GSM1225858
[431]
GSM1225859
[432]
GSM1225860
[433]
GSM1225861
[434]
GSM1225862
[435]
GSM1225863
[436]
GSM1225864
[437]
GSM1225865
[438]
GSM1225866
[439]
GSM1225867
[440]
GSM1225868
[441]
GSM1225869
[442]
GSM1225870
[443]
GSM1225871
[444]
GSM1225872
[445]
GSM1225873
[446]
GSM1225874
[447]
GSM1225875
[448]
GSM1225876
[449]
GSM1225877
[450]
GSM1225878
[451]
GSM1225879
[452]
GSM1225880
[453]
GSM1225881
[454]
GSM1225882
[455]
GSM1225883
[456]
GSM1225884
[457]
GSM1225885
[458]
GSM1225886
[459]
GSM1225887
[460]
GSM1225888
[461]
GSM1225889
[462]
GSM1225890
[463]
GSM1225891
sample_count
464
group_sizes
null
group_sizes_basis
null
platform
13534
taxon
Homo sapiens
title
Cigarette Smoking Reduces DNA Methylation Levels at Multiple Genomic Loci but the Effect is Partially Reversible upon Cessation
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE201532 not downloaded
[1]
asset:data:geo:GSE201532 licence not read
[2]
asset:data:geo:GSE50660 not downloaded
[3]
asset:data:geo:GSE50660 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
Paired analysis; differential methylation analysis using R Limma3.32.10
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
verbatim
quote
Paired analysis of the methylation levels of 8 patients before and after short-term smoking cessation showed differential expression in 3878 CpG sites (P < 0.001) (Fig. 1a).
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 · 2 items
[0]
GSE201532
[1]
GSE50660
resolved_accessions array · 2 items
[0]
GSE201532
[1]
GSE50660
statements array · 1 item
[0]
The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.
basis
The paper names GSE201532, GSE50660 in Gene Expression Omnibus (GEO) 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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 2 items
[0]
source:pmid:37496025
[1]
data:geo:GSE201532
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:GSE201532
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
2026-11-01T18:48:12Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11493
completion_tokens
1924
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:37496025
type
paper
label
pmid:37496025
[1] object · 3 fields
id
source:pmid:37496025
type
manuscript
label
PMID 37496025 full text
[2] object · 3 fields
id
data:geo:GSE201532
type
dataset
label
GEO GSE201532
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:37496025
type
paper
label
pmid:37496025
[1] object · 3 fields
id
source:pmid:37496025
type
manuscript
label
PMID 37496025 full text
[2] object · 3 fields
id
data:geo:GSE201532
type
dataset
label
GEO GSE201532
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37496025
type
extraction
used array · 1 item
[0]
source:pmid:37496025
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE201532
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE201532
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
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 object · 4 fields
parent_id
pmid:37496025
parent_hash
sha256:32aeed954bdea5521a1a434f85bcbf315d2b85615e978bde96dd89564b3eab0c
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE201532 licence not read
[1]
asset:data:geo:GSE201532 not downloaded
[2]
asset:data:geo:GSE50660 licence not read
[3]
asset:data:geo:GSE50660 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
protein-protein interaction
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37496025", "kind": "science-record", "revision": 4, "content_hash": "sha256:dfac03361513d921fa087722f3f140cd62c1b3c1b3da25f7ec3440c7fbe5b24e", "created_at": "2026-11-01T19:02:16Z", "updated_at": "2026-11-01T22:09:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Short-term smoking cessation leads to a universal decrease in whole blood genomic DNA methylation in patients with a smoking history.", "doi": "10.1186/s12957-023-03099-2", "pmid": "37496025", "authors": ["Junyi Shang", "Xinran Nie", "Yanan Qi", "Jing Zhou", "Yong Qi"], "journal": "World journal of surgical oncology", "year": 2023, "abstract": "BACKGROUND: Epigenetics is involved in various human diseases. Smoking is one of the most common environmental factors causing epigenetic changes. The DNA methylation changes and mechanisms after quitting smoking have yet to be defined. The present study examined the changes in DNA methylation levels before and after short-term smoking cessation and explored the potential mechanism.\nMETHODS: Whole blood and clinical data were collected from 8 patients before and after short-term smoking cessation, DNA methylation was assessed, and differentially methylated sites were analyzed, followed by a comprehensive analysis of the differentially methylated sites with clinical data. GO/KEGG enrichment and protein-protein interaction (PPI) network analyses identified the hub genes. The differentially methylated sites between former and current smokers in GSE50660 from the GEO database were detected by GEO2R. Then, a Venn analysis was carried out using the differentially methylated sites. GO/KEGG enrichment analysis was performed on the genes corresponding to the common DNA methylation sites, the PPI network was constructed, and hub genes were predicted. The enriched genes associated with the cell cycle were selected, and the pan-cancer gene expression and clinical significance in lung cancer were analyzed based on the TCGA database.\nRESULTS: Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified. The DNA methylation levels were altered according to the clinical data (body weight, expiratory, and tobacco dependence score). Enrichment analysis, construction of the PPI network, and pan-cancer analysis suggested that smoking cessation may affect various biological processes.\nCONCLUSIONS: Smoking cessation leads to epigenetic changes, mainly decreased in the decline of most DNA methylation levels. Bioinformatics further identified the biologically relevant changes after short-term smoking cessation.", "claims": [{"id": "claim-method", "statement": "Paired analysis of the methylation levels of 8 patients before and after short-term smoking cessation showed differential expression in 3878 CpG sites (P < 0.001) (Fig. 1a).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37496025", "locator": "sections[9] \"Altered DNA methylation levels before and after short-term smoking cessation\" paragraph 2", "quote": "Paired analysis of the methylation levels of 8 patients before and after short-term smoking cessation showed differential expression in 3878 CpG sites (P < 0.001) (Fig. 1a)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37496025", "locator": "sections[20] \"Availability of data and materials\" paragraph 2", "quote": "The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37496025", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Most genes showed decreased DNA methylation levels after short-term smoking cessation; 694 upregulated methylation CpG sites and 3184 downregulated methylation CpG sites were identified.", "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:37496025"], "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:GSE201532"], "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:GSE201532"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37496025", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12957-023-03099-2", "sha256": "sha256:844aac15bd218b0b56e6c4a3f9a2bda027583a7838f876e5a28dc0edb9f94699", "bytes": 40281, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12957-023-03099-2", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10369823", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE201532", "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=GSE201532", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE201532", "version": null, "note": "The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM6066162", "GSM6066163", "GSM6066164", "GSM6066165", "GSM6066166", "GSM6066167", "GSM6066168", "GSM6066169", "GSM6066170", "GSM6066171", "GSM6066172", "GSM6066173", "GSM6066174", "GSM6066175", "GSM6066176", "GSM6066177"], "sample_count": 16, "group_sizes": null, "group_sizes_basis": null, "platform": "21145", "taxon": "Homo sapiens", "title": "Short-term smoking cessation leads to a universal downregulation of DNA methylation in patients with a smoking history", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE50660", "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=GSE50660", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE50660", "version": null, "note": "The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1225377", "GSM1225378", "GSM1225379", "GSM1225380", "GSM1225381", "GSM1225382", "GSM1225383", "GSM1225384", "GSM1225385", "GSM1225386", "GSM1225387", "GSM1225388", "GSM1225389", "GSM1225390", "GSM1225391", "GSM1225392", "GSM1225393", "GSM1225394", "GSM1225395", "GSM1225396", "GSM1225397", "GSM1225398", "GSM1225399", "GSM1225400", "GSM1225401", "GSM1225402", "GSM1225403", "GSM1225404", "GSM1225405", "GSM1225406", "GSM1225407", "GSM1225408", "GSM1225409", "GSM1225410", "GSM1225411", "GSM1225412", "GSM1225413", "GSM1225414", "GSM1225415", "GSM1225416", "GSM1225417", "GSM1225418", "GSM1225419", "GSM1225420", "GSM1225421", "GSM1225422", "GSM1225423", "GSM1225424", "GSM1225425", "GSM1225426", "GSM1225427", "GSM1225428", "GSM1225429", "GSM1225430", "GSM1225431", "GSM1225432", "GSM1225433", "GSM1225434", "GSM1225435", "GSM1225436", "GSM1225437", "GSM1225438", "GSM1225439", "GSM1225440", "GSM1225441", "GSM1225442", "GSM1225443", "GSM1225444", "GSM1225445", "GSM1225446", "GSM1225447", "GSM1225448", "GSM1225449", "GSM1225450", "GSM1225451", "GSM1225452", "GSM1225453", "GSM1225454", "GSM1225455", "GSM1225456", "GSM1225457", "GSM1225458", "GSM1225459", "GSM1225460", "GSM1225461", "GSM1225462", "GSM1225463", "GSM1225464", "GSM1225465", "GSM1225466", "GSM1225467", "GSM1225468", "GSM1225469", "GSM1225470", "GSM1225471", "GSM1225472", "GSM1225473", "GSM1225474", "GSM1225475", "GSM1225476", "GSM1225477", "GSM1225478", "GSM1225479", "GSM1225480", "GSM1225481", "GSM1225482", "GSM1225483", "GSM1225484", "GSM1225485", "GSM1225486", "GSM1225487", "GSM1225488", "GSM1225489", "GSM1225490", "GSM1225491", "GSM1225492", "GSM1225493", "GSM1225494", "GSM1225495", "GSM1225496", "GSM1225497", "GSM1225498", "GSM1225499", "GSM1225500", "GSM1225501", "GSM1225502", "GSM1225503", "GSM1225504", "GSM1225505", "GSM1225506", "GSM1225507", "GSM1225508", "GSM1225509", "GSM1225510", "GSM1225511", "GSM1225512", "GSM1225513", "GSM1225514", "GSM1225515", "GSM1225516", "GSM1225517", "GSM1225518", "GSM1225519", "GSM1225520", "GSM1225521", "GSM1225522", "GSM1225523", "GSM1225524", "GSM1225525", "GSM1225526", "GSM1225527", "GSM1225528", "GSM1225529", "GSM1225530", "GSM1225531", "GSM1225532", "GSM1225533", "GSM1225534", "GSM1225535", "GSM1225536", "GSM1225537", "GSM1225538", "GSM1225539", "GSM1225540", "GSM1225541", "GSM1225542", "GSM1225543", "GSM1225544", "GSM1225545", "GSM1225546", "GSM1225547", "GSM1225548", "GSM1225549", "GSM1225550", "GSM1225551", "GSM1225552", "GSM1225553", "GSM1225554", "GSM1225555", "GSM1225556", "GSM1225557", "GSM1225558", "GSM1225559", "GSM1225560", "GSM1225561", "GSM1225562", "GSM1225563", "GSM1225564", "GSM1225565", "GSM1225566", "GSM1225567", "GSM1225568", "GSM1225569", "GSM1225570", "GSM1225571", "GSM1225572", "GSM1225573", "GSM1225574", "GSM1225575", "GSM1225576", "GSM1225577", "GSM1225578", "GSM1225579", "GSM1225580", "GSM1225581", "GSM1225582", "GSM1225583", "GSM1225584", "GSM1225585", "GSM1225586", "GSM1225587", "GSM1225588", "GSM1225589", "GSM1225590", "GSM1225591", "GSM1225592", "GSM1225593", "GSM1225594", "GSM1225595", "GSM1225596", "GSM1225597", "GSM1225598", "GSM1225599", "GSM1225600", "GSM1225601", "GSM1225602", "GSM1225603", "GSM1225604", "GSM1225605", "GSM1225606", "GSM1225607", "GSM1225608", "GSM1225609", "GSM1225610", "GSM1225611", "GSM1225612", "GSM1225613", "GSM1225614", "GSM1225615", "GSM1225616", "GSM1225617", "GSM1225618", "GSM1225619", "GSM1225620", "GSM1225621", "GSM1225622", "GSM1225623", "GSM1225624", "GSM1225625", "GSM1225626", "GSM1225627", "GSM1225628", "GSM1225629", "GSM1225630", "GSM1225631", "GSM1225632", "GSM1225633", "GSM1225634", "GSM1225635", "GSM1225636", "GSM1225637", "GSM1225638", "GSM1225639", "GSM1225640", "GSM1225641", "GSM1225642", "GSM1225643", "GSM1225644", "GSM1225645", "GSM1225646", "GSM1225647", "GSM1225648", "GSM1225649", "GSM1225650", "GSM1225651", "GSM1225652", "GSM1225653", "GSM1225654", "GSM1225655", "GSM1225656", "GSM1225657", "GSM1225658", "GSM1225659", "GSM1225660", "GSM1225661", "GSM1225662", "GSM1225663", "GSM1225664", "GSM1225665", "GSM1225666", "GSM1225667", "GSM1225668", "GSM1225669", "GSM1225670", "GSM1225671", "GSM1225672", "GSM1225673", "GSM1225674", "GSM1225675", "GSM1225676", "GSM1225677", "GSM1225678", "GSM1225679", "GSM1225680", "GSM1225681", "GSM1225682", "GSM1225683", "GSM1225684", "GSM1225685", "GSM1225686", "GSM1225687", "GSM1225688", "GSM1225689", "GSM1225690", "GSM1225691", "GSM1225692", "GSM1225693", "GSM1225694", "GSM1225695", "GSM1225696", "GSM1225697", "GSM1225698", "GSM1225699", "GSM1225700", "GSM1225701", "GSM1225702", "GSM1225703", "GSM1225704", "GSM1225705", "GSM1225706", "GSM1225707", "GSM1225708", "GSM1225709", "GSM1225710", "GSM1225711", "GSM1225712", "GSM1225713", "GSM1225714", "GSM1225715", "GSM1225716", "GSM1225725", "GSM1225726", "GSM1225727", "GSM1225728", "GSM1225729", "GSM1225730", "GSM1225731", "GSM1225732", "GSM1225733", "GSM1225734", "GSM1225735", "GSM1225736", "GSM1225737", "GSM1225738", "GSM1225739", "GSM1225740", "GSM1225741", "GSM1225742", "GSM1225743", "GSM1225744", "GSM1225745", "GSM1225746", "GSM1225747", "GSM1225748", "GSM1225749", "GSM1225750", "GSM1225751", "GSM1225752", "GSM1225753", "GSM1225754", "GSM1225755", "GSM1225756", "GSM1225757", "GSM1225758", "GSM1225759", "GSM1225760", "GSM1225761", "GSM1225762", "GSM1225763", "GSM1225764", "GSM1225792", "GSM1225793", "GSM1225794", "GSM1225795", "GSM1225796", "GSM1225797", "GSM1225798", "GSM1225799", "GSM1225801", "GSM1225802", "GSM1225803", "GSM1225805", "GSM1225807", "GSM1225809", "GSM1225810", "GSM1225811", "GSM1225812", "GSM1225813", "GSM1225814", "GSM1225815", "GSM1225828", "GSM1225829", "GSM1225830", "GSM1225831", "GSM1225832", "GSM1225833", "GSM1225834", "GSM1225835", "GSM1225836", "GSM1225837", "GSM1225838", "GSM1225839", "GSM1225840", "GSM1225841", "GSM1225842", "GSM1225843", "GSM1225844", "GSM1225845", "GSM1225846", "GSM1225847", "GSM1225848", "GSM1225849", "GSM1225850", "GSM1225851", "GSM1225852", "GSM1225853", "GSM1225854", "GSM1225855", "GSM1225856", "GSM1225857", "GSM1225858", "GSM1225859", "GSM1225860", "GSM1225861", "GSM1225862", "GSM1225863", "GSM1225864", "GSM1225865", "GSM1225866", "GSM1225867", "GSM1225868", "GSM1225869", "GSM1225870", "GSM1225871", "GSM1225872", "GSM1225873", "GSM1225874", "GSM1225875", "GSM1225876", "GSM1225877", "GSM1225878", "GSM1225879", "GSM1225880", "GSM1225881", "GSM1225882", "GSM1225883", "GSM1225884", "GSM1225885", "GSM1225886", "GSM1225887", "GSM1225888", "GSM1225889", "GSM1225890", "GSM1225891"], "sample_count": 464, "group_sizes": null, "group_sizes_basis": null, "platform": "13534", "taxon": "Homo sapiens", "title": "Cigarette Smoking Reduces DNA Methylation Levels at Multiple Genomic Loci but the Effect is Partially Reversible upon Cessation", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE201532 not downloaded", "asset:data:geo:GSE201532 licence not read", "asset:data:geo:GSE50660 not downloaded", "asset:data:geo:GSE50660 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": "Paired analysis; differential methylation analysis using R Limma3.32.10", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Paired analysis of the methylation levels of 8 patients before and after short-term smoking cessation showed differential expression in 3878 CpG sites (P < 0.001) (Fig. 1a)."}}], "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": ["GSE201532", "GSE50660"], "resolved_accessions": ["GSE201532", "GSE50660"], "statements": ["The datasets generated during the current study are available in the Gene Expression Omnibus (GEO) with the number GSE201532."], "basis": "The paper names GSE201532, GSE50660 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:37496025", "data:geo:GSE201532"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE201532"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:48:12Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11493, "completion_tokens": 1924, "cached_tokens": 256}}, "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:37496025", "type": "paper", "label": "pmid:37496025"}, {"id": "source:pmid:37496025", "type": "manuscript", "label": "PMID 37496025 full text"}, {"id": "data:geo:GSE201532", "type": "dataset", "label": "GEO GSE201532"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37496025", "type": "paper", "label": "pmid:37496025"}, {"id": "source:pmid:37496025", "type": "manuscript", "label": "PMID 37496025 full text"}, {"id": "data:geo:GSE201532", "type": "dataset", "label": "GEO GSE201532"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37496025", "type": "extraction", "used": ["source:pmid:37496025"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE201532", "type": "accession_resolution", "used": ["data:geo:GSE201532"], "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:37496025", "parent_hash": "sha256:32aeed954bdea5521a1a434f85bcbf315d2b85615e978bde96dd89564b3eab0c", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE201532 licence not read", "asset:data:geo:GSE201532 not downloaded", "asset:data:geo:GSE50660 licence not read", "asset:data:geo:GSE50660 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"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": "analysis_only", "id": "assay:1"}]}