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

pmid:34751089

Monocyte-related gene biomarkers for latent and active tuberculosis.

Yu Li · Yaju Deng · Jie He

Bioengineered · 2021 doi:10.1080/21655979.2021.2003931

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:34751089
kind
science-record
content_hash
sha256:f531257e153f2f0a50ec027f307ced6920dc92ff15448702fa81df50b824e3bf
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:36:26Z
updated_at
2026-11-01T22:47:50Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Monocyte-related gene biomarkers for latent and active tuberculosis.
doi
10.1080/21655979.2021.2003931
pmid
34751089
authors array · 3 items
[0]
Yu Li
[1]
Yaju Deng
[2]
Jie He
journal
Bioengineered
year
2021
abstract
Monocytes are closely associated with tuberculosis (TB). Latent tuberculosis in some patients gradually develops into its active state. This study aimed to investigate the role of hub monocyte-associated genes in distinguishing latent TB infection (LTBI) from active TB. The gene expression profiles of 15 peripheral blood mononuclear cells (PBMCs) samples were downloaded from the gene expression omnibus (GEO) database, GSE54992. The monocyte abundance was high in active TB as evaluated by the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm. The limma test and correlation analysis documented 165 differentially expressed monocyte-related genes (DEMonRGs) between latent TB and active TB. Functional annotation and enrichment analyses of the DEMonRGs using the database for annotation, visualization, and integration discovery (DAVID) tools showed enrichment of inflammatory response mechanisms and immune-related pathways. A protein-protein interaction network was constructed with a node degree ≥10. The expression levels of these hub DEMonRGs (SERPINA1, FUCA2, and HP) were evaluated and verified using several independent datasets and clinical settings. Finally, a single sample scoring method was used to establish a gene signature for the three DEMonRGs, distinguishing active TB from latent TB. The findings of the present study provide a better understanding of monocyte-related molecular fundamentals in TB progression and contribute to the identification of new potential biomarkers for the diagnosis of active TB.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34751089
locator
sections[5] "Screening monocyte-related genes" paragraph 2
quote
The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34751089
locator
sections[27] "Data availability statement" paragraph 2
quote
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Among the PBMCs of patients with latent and active tuberculosis, 165 DEMonRGs were obtained through the ‘limma’ test and correlation analysis.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34751089
locator
sections[15] "Results" paragraph 2
quote
Among the PBMCs of patients with latent and active tuberculosis, 165 DEMonRGs were obtained through the ‘limma’ test and correlation analysis.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Among the PBMCs of patients with latent and active tuberculosis, 165 DEMonRGs were obtained through the ‘limma’ test and correlation analysis.
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:34751089
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:GSE19444
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:GSE19444
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 · 6 items
[0] object · 15 fields
id
source:pmid:34751089
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1080/21655979.2021.2003931
sha256
sha256:8c6605aa032dc3fdc67af86a3c0ec8306fd1c031a50c15f11d0b4a36996b1201
bytes
36380
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1080/21655979.2021.2003931
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
PMC8809927
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE19444
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=GSE19444
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE19444
version
null
note
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 54 items
[0]
GSM484595
[1]
GSM484596
[2]
GSM484597
[3]
GSM484598
[4]
GSM484599
[5]
GSM484600
[6]
GSM484601
[7]
GSM484602
[8]
GSM484603
[9]
GSM484604
[10]
GSM484605
[11]
GSM484606
[12]
GSM484607
[13]
GSM484608
[14]
GSM484609
[15]
GSM484610
[16]
GSM484611
[17]
GSM484612
[18]
GSM484613
[19]
GSM484614
[20]
GSM484615
[21]
GSM484616
[22]
GSM484617
[23]
GSM484618
[24]
GSM484619
[25]
GSM484620
[26]
GSM484621
[27]
GSM484622
[28]
GSM484623
[29]
GSM484624
[30]
GSM484625
[31]
GSM484626
[32]
GSM484627
[33]
GSM484628
[34]
GSM484629
[35]
GSM484630
[36]
GSM484631
[37]
GSM484632
[38]
GSM484633
[39]
GSM484634
[40]
GSM484635
[41]
GSM484636
[42]
GSM484637
[43]
GSM484638
[44]
GSM484639
[45]
GSM484640
[46]
GSM484641
[47]
GSM484642
[48]
GSM484643
[49]
GSM484644
[50]
GSM484645
[51]
GSM484646
[52]
GSM484647
[53]
GSM484648
sample_count
54
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Blood Transcriptional Profiles of Active and Latent TB (UK Test Set)
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE37250
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=GSE37250
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37250
version
null
note
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 537 items
[0]
GSM914353
[1]
GSM914354
[2]
GSM914355
[3]
GSM914356
[4]
GSM914357
[5]
GSM914358
[6]
GSM914359
[7]
GSM914360
[8]
GSM914361
[9]
GSM914362
[10]
GSM914363
[11]
GSM914364
[12]
GSM914365
[13]
GSM914366
[14]
GSM914367
[15]
GSM914368
[16]
GSM914369
[17]
GSM914370
[18]
GSM914371
[19]
GSM914372
[20]
GSM914373
[21]
GSM914374
[22]
GSM914375
[23]
GSM914376
[24]
GSM914377
[25]
GSM914378
[26]
GSM914379
[27]
GSM914380
[28]
GSM914381
[29]
GSM914382
[30]
GSM914383
[31]
GSM914384
[32]
GSM914385
[33]
GSM914386
[34]
GSM914387
[35]
GSM914388
[36]
GSM914389
[37]
GSM914390
[38]
GSM914391
[39]
GSM914392
[40]
GSM914393
[41]
GSM914394
[42]
GSM914395
[43]
GSM914396
[44]
GSM914397
[45]
GSM914398
[46]
GSM914399
[47]
GSM914400
[48]
GSM914401
[49]
GSM914402
[50]
GSM914403
[51]
GSM914404
[52]
GSM914405
[53]
GSM914406
[54]
GSM914407
[55]
GSM914408
[56]
GSM914409
[57]
GSM914410
[58]
GSM914411
[59]
GSM914412
[60]
GSM914413
[61]
GSM914414
[62]
GSM914415
[63]
GSM914416
[64]
GSM914417
[65]
GSM914418
[66]
GSM914419
[67]
GSM914420
[68]
GSM914421
[69]
GSM914422
[70]
GSM914423
[71]
GSM914424
[72]
GSM914425
[73]
GSM914426
[74]
GSM914427
[75]
GSM914428
[76]
GSM914429
[77]
GSM914430
[78]
GSM914431
[79]
GSM914432
[80]
GSM914433
[81]
GSM914434
[82]
GSM914435
[83]
GSM914436
[84]
GSM914437
[85]
GSM914438
[86]
GSM914439
[87]
GSM914440
[88]
GSM914441
[89]
GSM914442
[90]
GSM914443
[91]
GSM914444
[92]
GSM914445
[93]
GSM914446
[94]
GSM914447
[95]
GSM914448
[96]
GSM914449
[97]
GSM914450
[98]
GSM914451
[99]
GSM914452
[100]
GSM914453
[101]
GSM914454
[102]
GSM914455
[103]
GSM914456
[104]
GSM914457
[105]
GSM914458
[106]
GSM914459
[107]
GSM914460
[108]
GSM914461
[109]
GSM914462
[110]
GSM914463
[111]
GSM914464
[112]
GSM914465
[113]
GSM914466
[114]
GSM914467
[115]
GSM914468
[116]
GSM914469
[117]
GSM914470
[118]
GSM914471
[119]
GSM914472
[120]
GSM914473
[121]
GSM914474
[122]
GSM914475
[123]
GSM914476
[124]
GSM914477
[125]
GSM914478
[126]
GSM914479
[127]
GSM914480
[128]
GSM914481
[129]
GSM914482
[130]
GSM914483
[131]
GSM914484
[132]
GSM914485
[133]
GSM914486
[134]
GSM914487
[135]
GSM914488
[136]
GSM914489
[137]
GSM914490
[138]
GSM914491
[139]
GSM914492
[140]
GSM914493
[141]
GSM914494
[142]
GSM914495
[143]
GSM914496
[144]
GSM914497
[145]
GSM914498
[146]
GSM914499
[147]
GSM914500
[148]
GSM914501
[149]
GSM914502
[150]
GSM914503
[151]
GSM914504
[152]
GSM914505
[153]
GSM914506
[154]
GSM914507
[155]
GSM914508
[156]
GSM914509
[157]
GSM914510
[158]
GSM914511
[159]
GSM914512
[160]
GSM914513
[161]
GSM914514
[162]
GSM914515
[163]
GSM914516
[164]
GSM914517
[165]
GSM914518
[166]
GSM914519
[167]
GSM914520
[168]
GSM914521
[169]
GSM914522
[170]
GSM914523
[171]
GSM914524
[172]
GSM914525
[173]
GSM914526
[174]
GSM914527
[175]
GSM914528
[176]
GSM914529
[177]
GSM914530
[178]
GSM914531
[179]
GSM914532
[180]
GSM914533
[181]
GSM914534
[182]
GSM914535
[183]
GSM914536
[184]
GSM914537
[185]
GSM914538
[186]
GSM914539
[187]
GSM914540
[188]
GSM914541
[189]
GSM914542
[190]
GSM914543
[191]
GSM914544
[192]
GSM914545
[193]
GSM914546
[194]
GSM914547
[195]
GSM914548
[196]
GSM914549
[197]
GSM914550
[198]
GSM914551
[199]
GSM914552
[200]
GSM914553
[201]
GSM914554
[202]
GSM914555
[203]
GSM914556
[204]
GSM914557
[205]
GSM914558
[206]
GSM914559
[207]
GSM914560
[208]
GSM914561
[209]
GSM914562
[210]
GSM914563
[211]
GSM914564
[212]
GSM914565
[213]
GSM914566
[214]
GSM914567
[215]
GSM914568
[216]
GSM914569
[217]
GSM914570
[218]
GSM914571
[219]
GSM914572
[220]
GSM914573
[221]
GSM914574
[222]
GSM914575
[223]
GSM914576
[224]
GSM914577
[225]
GSM914578
[226]
GSM914579
[227]
GSM914580
[228]
GSM914581
[229]
GSM914582
[230]
GSM914583
[231]
GSM914584
[232]
GSM914585
[233]
GSM914586
[234]
GSM914587
[235]
GSM914588
[236]
GSM914589
[237]
GSM914590
[238]
GSM914591
[239]
GSM914592
[240]
GSM914593
[241]
GSM914594
[242]
GSM914595
[243]
GSM914596
[244]
GSM914597
[245]
GSM914598
[246]
GSM914599
[247]
GSM914600
[248]
GSM914601
[249]
GSM914602
[250]
GSM914603
[251]
GSM914604
[252]
GSM914605
[253]
GSM914606
[254]
GSM914607
[255]
GSM914608
[256]
GSM914609
[257]
GSM914610
[258]
GSM914611
[259]
GSM914612
[260]
GSM914613
[261]
GSM914614
[262]
GSM914615
[263]
GSM914616
[264]
GSM914617
[265]
GSM914618
[266]
GSM914619
[267]
GSM914620
[268]
GSM914621
[269]
GSM914622
[270]
GSM914623
[271]
GSM914624
[272]
GSM914625
[273]
GSM914626
[274]
GSM914627
[275]
GSM914628
[276]
GSM914629
[277]
GSM914630
[278]
GSM914631
[279]
GSM914632
[280]
GSM914633
[281]
GSM914634
[282]
GSM914635
[283]
GSM914636
[284]
GSM914637
[285]
GSM914638
[286]
GSM914639
[287]
GSM914640
[288]
GSM914641
[289]
GSM914642
[290]
GSM914643
[291]
GSM914644
[292]
GSM914645
[293]
GSM914646
[294]
GSM914647
[295]
GSM914648
[296]
GSM914649
[297]
GSM914650
[298]
GSM914651
[299]
GSM914652
[300]
GSM914653
[301]
GSM914654
[302]
GSM914655
[303]
GSM914656
[304]
GSM914657
[305]
GSM914658
[306]
GSM914659
[307]
GSM914660
[308]
GSM914661
[309]
GSM914662
[310]
GSM914663
[311]
GSM914664
[312]
GSM914665
[313]
GSM914666
[314]
GSM914667
[315]
GSM914668
[316]
GSM914669
[317]
GSM914670
[318]
GSM914671
[319]
GSM914672
[320]
GSM914673
[321]
GSM914674
[322]
GSM914675
[323]
GSM914676
[324]
GSM914677
[325]
GSM914678
[326]
GSM914679
[327]
GSM914680
[328]
GSM914681
[329]
GSM914682
[330]
GSM914683
[331]
GSM914684
[332]
GSM914685
[333]
GSM914686
[334]
GSM914687
[335]
GSM914688
[336]
GSM914689
[337]
GSM914690
[338]
GSM914691
[339]
GSM914692
[340]
GSM914693
[341]
GSM914694
[342]
GSM914695
[343]
GSM914696
[344]
GSM914697
[345]
GSM914698
[346]
GSM914699
[347]
GSM914700
[348]
GSM914701
[349]
GSM914702
[350]
GSM914703
[351]
GSM914704
[352]
GSM914705
[353]
GSM914706
[354]
GSM914707
[355]
GSM914708
[356]
GSM914709
[357]
GSM914710
[358]
GSM914711
[359]
GSM914712
[360]
GSM914713
[361]
GSM914714
[362]
GSM914715
[363]
GSM914716
[364]
GSM914717
[365]
GSM914718
[366]
GSM914719
[367]
GSM914720
[368]
GSM914721
[369]
GSM914722
[370]
GSM914723
[371]
GSM914724
[372]
GSM914725
[373]
GSM914726
[374]
GSM914727
[375]
GSM914728
[376]
GSM914729
[377]
GSM914730
[378]
GSM914731
[379]
GSM914732
[380]
GSM914733
[381]
GSM914734
[382]
GSM914735
[383]
GSM914736
[384]
GSM914737
[385]
GSM914738
[386]
GSM914739
[387]
GSM914740
[388]
GSM914741
[389]
GSM914742
[390]
GSM914743
[391]
GSM914744
[392]
GSM914745
[393]
GSM914746
[394]
GSM914747
[395]
GSM914748
[396]
GSM914749
[397]
GSM914750
[398]
GSM914751
[399]
GSM914752
[400]
GSM914753
[401]
GSM914754
[402]
GSM914755
[403]
GSM914756
[404]
GSM914757
[405]
GSM914758
[406]
GSM914759
[407]
GSM914760
[408]
GSM914761
[409]
GSM914762
[410]
GSM914763
[411]
GSM914764
[412]
GSM914765
[413]
GSM914766
[414]
GSM914767
[415]
GSM914768
[416]
GSM914769
[417]
GSM914770
[418]
GSM914771
[419]
GSM914772
[420]
GSM914773
[421]
GSM914774
[422]
GSM914775
[423]
GSM914776
[424]
GSM914777
[425]
GSM914778
[426]
GSM914779
[427]
GSM914780
[428]
GSM914781
[429]
GSM914782
[430]
GSM914783
[431]
GSM914784
[432]
GSM914785
[433]
GSM914786
[434]
GSM914787
[435]
GSM914788
[436]
GSM914789
[437]
GSM914790
[438]
GSM914791
[439]
GSM914792
[440]
GSM914793
[441]
GSM914794
[442]
GSM914795
[443]
GSM914796
[444]
GSM914797
[445]
GSM914798
[446]
GSM914799
[447]
GSM914800
[448]
GSM914801
[449]
GSM914802
[450]
GSM914803
[451]
GSM914804
[452]
GSM914805
[453]
GSM914806
[454]
GSM914807
[455]
GSM914808
[456]
GSM914809
[457]
GSM914810
[458]
GSM914811
[459]
GSM914812
[460]
GSM914813
[461]
GSM914814
[462]
GSM914815
[463]
GSM914816
[464]
GSM914817
[465]
GSM914818
[466]
GSM914819
[467]
GSM914820
[468]
GSM914821
[469]
GSM914822
[470]
GSM914823
[471]
GSM914824
[472]
GSM914825
[473]
GSM914826
[474]
GSM914827
[475]
GSM914828
[476]
GSM914829
[477]
GSM914830
[478]
GSM914831
[479]
GSM914832
[480]
GSM914833
[481]
GSM914834
[482]
GSM914835
[483]
GSM914836
[484]
GSM914837
[485]
GSM914838
[486]
GSM914839
[487]
GSM914840
[488]
GSM914841
[489]
GSM914842
[490]
GSM914843
[491]
GSM914844
[492]
GSM914845
[493]
GSM914846
[494]
GSM914847
[495]
GSM914848
[496]
GSM914849
[497]
GSM914850
[498]
GSM914851
[499]
GSM914852
[500]
GSM914853
[501]
GSM914854
[502]
GSM914855
[503]
GSM914856
[504]
GSM914857
[505]
GSM914858
[506]
GSM914859
[507]
GSM914860
[508]
GSM914861
[509]
GSM914862
[510]
GSM914863
[511]
GSM914864
[512]
GSM914865
[513]
GSM914866
[514]
GSM914867
[515]
GSM914868
[516]
GSM914869
[517]
GSM914870
[518]
GSM914871
[519]
GSM914872
[520]
GSM914873
[521]
GSM914874
[522]
GSM914875
[523]
GSM914876
[524]
GSM914877
[525]
GSM914878
[526]
GSM914879
[527]
GSM914880
[528]
GSM914881
[529]
GSM914882
[530]
GSM914883
[531]
GSM914884
[532]
GSM914885
[533]
GSM914886
[534]
GSM914887
[535]
GSM914888
[536]
GSM914889
sample_count
537
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Genome-wide transcriptional profiling of HIV positive and negative adults with active tuberculosis, latent TB infection and other diseases
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE39939
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=GSE39939
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39939
version
null
note
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 157 items
[0]
GSM1249177
[1]
GSM1249178
[2]
GSM1249179
[3]
GSM1249180
[4]
GSM1249181
[5]
GSM1249182
[6]
GSM1249183
[7]
GSM1249184
[8]
GSM1249185
[9]
GSM1249186
[10]
GSM1249187
[11]
GSM1249188
[12]
GSM1249189
[13]
GSM1249190
[14]
GSM1249191
[15]
GSM1249192
[16]
GSM1249193
[17]
GSM1249194
[18]
GSM1249195
[19]
GSM1249196
[20]
GSM1249197
[21]
GSM1249198
[22]
GSM1249199
[23]
GSM1249200
[24]
GSM1249201
[25]
GSM1249202
[26]
GSM1249203
[27]
GSM1249204
[28]
GSM1249205
[29]
GSM1249206
[30]
GSM1249207
[31]
GSM1249208
[32]
GSM1249209
[33]
GSM1249210
[34]
GSM1249211
[35]
GSM1249212
[36]
GSM1249213
[37]
GSM1249214
[38]
GSM1249215
[39]
GSM1249216
[40]
GSM1249217
[41]
GSM1249218
[42]
GSM1249219
[43]
GSM1249220
[44]
GSM1249221
[45]
GSM1249222
[46]
GSM1249223
[47]
GSM1249224
[48]
GSM1249225
[49]
GSM1249226
[50]
GSM1249227
[51]
GSM1249228
[52]
GSM1249229
[53]
GSM1249230
[54]
GSM1249231
[55]
GSM1249232
[56]
GSM1249233
[57]
GSM1249234
[58]
GSM1249235
[59]
GSM1249236
[60]
GSM1249237
[61]
GSM1249238
[62]
GSM1249239
[63]
GSM1249240
[64]
GSM1249241
[65]
GSM1249242
[66]
GSM1249243
[67]
GSM1249244
[68]
GSM1249245
[69]
GSM1249246
[70]
GSM1249247
[71]
GSM1249248
[72]
GSM1249249
[73]
GSM1249250
[74]
GSM1249251
[75]
GSM1249252
[76]
GSM1249253
[77]
GSM1249254
[78]
GSM1249255
[79]
GSM1249256
[80]
GSM1249257
[81]
GSM1249258
[82]
GSM1249259
[83]
GSM1249260
[84]
GSM1249261
[85]
GSM1249262
[86]
GSM1249263
[87]
GSM1249264
[88]
GSM1249265
[89]
GSM1249266
[90]
GSM1249267
[91]
GSM1249268
[92]
GSM1249269
[93]
GSM1249270
[94]
GSM1249271
[95]
GSM1249272
[96]
GSM1249273
[97]
GSM1249274
[98]
GSM1249275
[99]
GSM1249276
[100]
GSM1249277
[101]
GSM1249278
[102]
GSM1249279
[103]
GSM1249280
[104]
GSM1249281
[105]
GSM1249282
[106]
GSM1249283
[107]
GSM1249284
[108]
GSM1249285
[109]
GSM1249286
[110]
GSM1249287
[111]
GSM1249288
[112]
GSM1249289
[113]
GSM1249290
[114]
GSM1249291
[115]
GSM1249292
[116]
GSM1249293
[117]
GSM1249294
[118]
GSM1249295
[119]
GSM1249296
[120]
GSM1249297
[121]
GSM1249298
[122]
GSM1249299
[123]
GSM1249300
[124]
GSM1249301
[125]
GSM1249302
[126]
GSM1249303
[127]
GSM1249304
[128]
GSM1249305
[129]
GSM1249306
[130]
GSM1249307
[131]
GSM1249308
[132]
GSM1249309
[133]
GSM1249310
[134]
GSM1249311
[135]
GSM1249312
[136]
GSM1249313
[137]
GSM1249314
[138]
GSM1249315
[139]
GSM1249316
[140]
GSM1249317
[141]
GSM1249318
[142]
GSM1249319
[143]
GSM1249320
[144]
GSM1249321
[145]
GSM1249322
[146]
GSM1249323
[147]
GSM1249324
[148]
GSM1249325
[149]
GSM1249326
[150]
GSM1249327
[151]
GSM1249328
[152]
GSM1249329
[153]
GSM1249330
[154]
GSM1249331
[155]
GSM1249332
[156]
GSM1249333
sample_count
157
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from Kenya
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE39940
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=GSE39940
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39940
version
null
note
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 334 items
[0]
GSM981627
[1]
GSM981628
[2]
GSM981629
[3]
GSM981630
[4]
GSM981631
[5]
GSM981632
[6]
GSM981633
[7]
GSM981634
[8]
GSM981635
[9]
GSM981636
[10]
GSM981637
[11]
GSM981638
[12]
GSM981639
[13]
GSM981640
[14]
GSM981641
[15]
GSM981642
[16]
GSM981643
[17]
GSM981644
[18]
GSM981645
[19]
GSM981646
[20]
GSM981647
[21]
GSM981648
[22]
GSM981649
[23]
GSM981650
[24]
GSM981651
[25]
GSM981652
[26]
GSM981653
[27]
GSM981654
[28]
GSM981655
[29]
GSM981656
[30]
GSM981657
[31]
GSM981658
[32]
GSM981659
[33]
GSM981660
[34]
GSM981661
[35]
GSM981662
[36]
GSM981663
[37]
GSM981664
[38]
GSM981665
[39]
GSM981666
[40]
GSM981667
[41]
GSM981668
[42]
GSM981669
[43]
GSM981670
[44]
GSM981671
[45]
GSM981672
[46]
GSM981673
[47]
GSM981674
[48]
GSM981675
[49]
GSM981676
[50]
GSM981677
[51]
GSM981678
[52]
GSM981679
[53]
GSM981680
[54]
GSM981681
[55]
GSM981682
[56]
GSM981683
[57]
GSM981684
[58]
GSM981685
[59]
GSM981686
[60]
GSM981687
[61]
GSM981688
[62]
GSM981689
[63]
GSM981690
[64]
GSM981691
[65]
GSM981692
[66]
GSM981693
[67]
GSM981694
[68]
GSM981695
[69]
GSM981696
[70]
GSM981697
[71]
GSM981698
[72]
GSM981699
[73]
GSM981700
[74]
GSM981701
[75]
GSM981702
[76]
GSM981703
[77]
GSM981704
[78]
GSM981705
[79]
GSM981706
[80]
GSM981707
[81]
GSM981708
[82]
GSM981709
[83]
GSM981710
[84]
GSM981711
[85]
GSM981712
[86]
GSM981713
[87]
GSM981714
[88]
GSM981715
[89]
GSM981716
[90]
GSM981717
[91]
GSM981718
[92]
GSM981719
[93]
GSM981720
[94]
GSM981721
[95]
GSM981722
[96]
GSM981723
[97]
GSM981724
[98]
GSM981725
[99]
GSM981726
[100]
GSM981727
[101]
GSM981728
[102]
GSM981729
[103]
GSM981730
[104]
GSM981731
[105]
GSM981732
[106]
GSM981733
[107]
GSM981734
[108]
GSM981735
[109]
GSM981736
[110]
GSM981737
[111]
GSM981738
[112]
GSM981739
[113]
GSM981740
[114]
GSM981741
[115]
GSM981742
[116]
GSM981743
[117]
GSM981744
[118]
GSM981745
[119]
GSM981746
[120]
GSM981747
[121]
GSM981748
[122]
GSM981749
[123]
GSM981750
[124]
GSM981751
[125]
GSM981752
[126]
GSM981753
[127]
GSM981754
[128]
GSM981755
[129]
GSM981756
[130]
GSM981757
[131]
GSM981758
[132]
GSM981759
[133]
GSM981760
[134]
GSM981761
[135]
GSM981762
[136]
GSM981763
[137]
GSM981764
[138]
GSM981765
[139]
GSM981766
[140]
GSM981767
[141]
GSM981768
[142]
GSM981769
[143]
GSM981770
[144]
GSM981771
[145]
GSM981772
[146]
GSM981773
[147]
GSM981774
[148]
GSM981775
[149]
GSM981776
[150]
GSM981777
[151]
GSM981778
[152]
GSM981779
[153]
GSM981780
[154]
GSM981781
[155]
GSM981782
[156]
GSM981783
[157]
GSM981784
[158]
GSM981785
[159]
GSM981786
[160]
GSM981787
[161]
GSM981788
[162]
GSM981789
[163]
GSM981790
[164]
GSM981791
[165]
GSM981792
[166]
GSM981793
[167]
GSM981794
[168]
GSM981795
[169]
GSM981796
[170]
GSM981797
[171]
GSM981798
[172]
GSM981799
[173]
GSM981800
[174]
GSM981801
[175]
GSM981802
[176]
GSM981803
[177]
GSM981804
[178]
GSM981805
[179]
GSM981806
[180]
GSM981807
[181]
GSM981808
[182]
GSM981809
[183]
GSM981810
[184]
GSM981811
[185]
GSM981812
[186]
GSM981813
[187]
GSM981814
[188]
GSM981815
[189]
GSM981816
[190]
GSM981817
[191]
GSM981818
[192]
GSM981819
[193]
GSM981820
[194]
GSM981821
[195]
GSM981822
[196]
GSM981823
[197]
GSM981824
[198]
GSM981825
[199]
GSM981826
[200]
GSM981827
[201]
GSM981828
[202]
GSM981829
[203]
GSM981830
[204]
GSM981831
[205]
GSM981832
[206]
GSM981833
[207]
GSM981834
[208]
GSM981835
[209]
GSM981836
[210]
GSM981837
[211]
GSM981838
[212]
GSM981839
[213]
GSM981840
[214]
GSM981841
[215]
GSM981842
[216]
GSM981843
[217]
GSM981844
[218]
GSM981845
[219]
GSM981846
[220]
GSM981847
[221]
GSM981848
[222]
GSM981849
[223]
GSM981850
[224]
GSM981851
[225]
GSM981852
[226]
GSM981853
[227]
GSM981854
[228]
GSM981855
[229]
GSM981856
[230]
GSM981857
[231]
GSM981858
[232]
GSM981859
[233]
GSM981860
[234]
GSM981861
[235]
GSM981862
[236]
GSM981863
[237]
GSM981864
[238]
GSM981865
[239]
GSM981866
[240]
GSM981867
[241]
GSM981868
[242]
GSM981869
[243]
GSM981870
[244]
GSM981871
[245]
GSM981872
[246]
GSM981873
[247]
GSM981874
[248]
GSM981875
[249]
GSM981876
[250]
GSM981877
[251]
GSM981878
[252]
GSM981879
[253]
GSM981880
[254]
GSM981881
[255]
GSM981882
[256]
GSM981883
[257]
GSM981884
[258]
GSM981885
[259]
GSM981886
[260]
GSM981887
[261]
GSM981888
[262]
GSM981889
[263]
GSM981890
[264]
GSM981891
[265]
GSM981892
[266]
GSM981893
[267]
GSM981894
[268]
GSM981895
[269]
GSM981896
[270]
GSM981897
[271]
GSM981898
[272]
GSM981899
[273]
GSM981900
[274]
GSM981901
[275]
GSM981902
[276]
GSM981903
[277]
GSM981904
[278]
GSM981905
[279]
GSM981906
[280]
GSM981907
[281]
GSM981908
[282]
GSM981909
[283]
GSM981910
[284]
GSM981911
[285]
GSM981912
[286]
GSM981913
[287]
GSM981914
[288]
GSM981915
[289]
GSM981916
[290]
GSM981917
[291]
GSM981918
[292]
GSM981919
[293]
GSM981920
[294]
GSM981921
[295]
GSM981922
[296]
GSM981926
[297]
GSM981927
[298]
GSM981928
[299]
GSM981929
[300]
GSM981930
[301]
GSM981931
[302]
GSM981932
[303]
GSM981933
[304]
GSM981934
[305]
GSM981935
[306]
GSM981936
[307]
GSM981937
[308]
GSM981938
[309]
GSM981939
[310]
GSM981940
[311]
GSM981941
[312]
GSM981942
[313]
GSM981943
[314]
GSM981944
[315]
GSM981945
[316]
GSM981946
[317]
GSM981947
[318]
GSM981948
[319]
GSM981949
[320]
GSM981950
[321]
GSM981951
[322]
GSM981952
[323]
GSM981953
[324]
GSM981954
[325]
GSM981955
[326]
GSM981956
[327]
GSM981957
[328]
GSM981958
[329]
GSM981959
[330]
GSM981960
[331]
GSM982065
[332]
GSM982066
[333]
GSM982067
sample_count
334
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from South Africa and Malawi
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE54992
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=GSE54992
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE54992
version
null
note
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 39 items
[0]
GSM1327526
[1]
GSM1327527
[2]
GSM1327528
[3]
GSM1327529
[4]
GSM1327530
[5]
GSM1327531
[6]
GSM1327532
[7]
GSM1327533
[8]
GSM1327534
[9]
GSM1327535
[10]
GSM1327536
[11]
GSM1327537
[12]
GSM1327538
[13]
GSM1327539
[14]
GSM1327540
[15]
GSM1327541
[16]
GSM1327542
[17]
GSM1327543
[18]
GSM1327544
[19]
GSM1327545
[20]
GSM1327546
[21]
GSM1327547
[22]
GSM1327548
[23]
GSM1327549
[24]
GSM1327550
[25]
GSM1327551
[26]
GSM1327552
[27]
GSM1327553
[28]
GSM1327554
[29]
GSM1327555
[30]
GSM1327556
[31]
GSM1327557
[32]
GSM1327558
[33]
GSM1327559
[34]
GSM1327560
[35]
GSM1327561
[36]
GSM1327562
[37]
GSM1327563
[38]
GSM1327564
sample_count
39
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from peripheral blood
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE19444 not downloaded
[1]
asset:data:geo:GSE19444 licence not read
[2]
asset:data:geo:GSE37250 not downloaded
[3]
asset:data:geo:GSE37250 licence not read
[4]
asset:data:geo:GSE39939 not downloaded
[5]
asset:data:geo:GSE39939 licence not read
[6]
asset:data:geo:GSE39940 not downloaded
[7]
asset:data:geo:GSE39940 licence not read
[8]
asset:data:geo:GSE54992 not downloaded
[9]
asset:data:geo:GSE54992 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
The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance.
[1] object · 10 fields
id
method-2
family
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
[2] object · 10 fields
id
method-3
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
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
R1
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 · 5 items
[0]
GSE54992
[1]
GSE19444
[2]
GSE37250
[3]
GSE39939
[4]
GSE39940
resolved_accessions array · 5 items
[0]
GSE54992
[1]
GSE19444
[2]
GSE37250
[3]
GSE39939
[4]
GSE39940
statements array · 1 item
[0]
The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.
basis
The paper names GSE54992, GSE19444, GSE37250, GSE39939, GSE39940 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]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:34751089
[1]
data:geo:GSE19444
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:GSE19444
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
2026-11-01T17:06:32Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9822
completion_tokens
2440
cached_tokens
128
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:34751089
type
paper
label
pmid:34751089
[1] object · 3 fields
id
source:pmid:34751089
type
manuscript
label
PMID 34751089 full text
[2] object · 3 fields
id
data:geo:GSE19444
type
dataset
label
GEO GSE19444
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:34751089
type
paper
label
pmid:34751089
[1] object · 3 fields
id
source:pmid:34751089
type
manuscript
label
PMID 34751089 full text
[2] object · 3 fields
id
data:geo:GSE19444
type
dataset
label
GEO GSE19444
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34751089
type
extraction
used array · 1 item
[0]
source:pmid:34751089
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE19444
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE19444
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:34751089
parent_hash
sha256:5e749a689f3b0b03479a8be5325a0bce0a147249e2f196f66c2a41b9d77ad342
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE19444 licence not read
[1]
asset:data:geo:GSE19444 not downloaded
[2]
asset:data:geo:GSE37250 licence not read
[3]
asset:data:geo:GSE37250 not downloaded
[4]
asset:data:geo:GSE39939 licence not read
[5]
asset:data:geo:GSE39939 not downloaded
[6]
asset:data:geo:GSE39940 licence not read
[7]
asset:data:geo:GSE39940 not downloaded
[8]
asset:data:geo:GSE54992 licence not read
[9]
asset:data:geo:GSE54992 not downloaded
[10]
execution.not_run
[11]
method.reader_differs_from_extractor
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
assays array · 2 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]
) software. Verification in clinical samples RT-qPCR results showed that peripheral blood mononuc
[1]
oftware. Verification in clinical samples RT-qPCR results showed that peripheral blood mononuc
order_basis
paper_text_order:2269
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34751089", "kind": "science-record", "revision": 5, "content_hash": "sha256:f531257e153f2f0a50ec027f307ced6920dc92ff15448702fa81df50b824e3bf", "created_at": "2026-11-01T17:36:26Z", "updated_at": "2026-11-01T22:47:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Monocyte-related gene biomarkers for latent and active tuberculosis.", "doi": "10.1080/21655979.2021.2003931", "pmid": "34751089", "authors": ["Yu Li", "Yaju Deng", "Jie He"], "journal": "Bioengineered", "year": 2021, "abstract": "Monocytes are closely associated with tuberculosis (TB). Latent tuberculosis in some patients gradually develops into its active state. This study aimed to investigate the role of hub monocyte-associated genes in distinguishing latent TB infection (LTBI) from active TB. The gene expression profiles of 15 peripheral blood mononuclear cells (PBMCs) samples were downloaded from the gene expression omnibus (GEO) database, GSE54992. The monocyte abundance was high in active TB as evaluated by the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm. The limma test and correlation analysis documented 165 differentially expressed monocyte-related genes (DEMonRGs) between latent TB and active TB. Functional annotation and enrichment analyses of the DEMonRGs using the database for annotation, visualization, and integration discovery (DAVID) tools showed enrichment of inflammatory response mechanisms and immune-related pathways. A protein-protein interaction network was constructed with a node degree ≥10. The expression levels of these hub DEMonRGs (SERPINA1, FUCA2, and HP) were evaluated and verified using several independent datasets and clinical settings. Finally, a single sample scoring method was used to establish a gene signature for the three DEMonRGs, distinguishing active TB from latent TB. The findings of the present study provide a better understanding of monocyte-related molecular fundamentals in TB progression and contribute to the identification of new potential biomarkers for the diagnosis of active TB.", "claims": [{"id": "claim-method", "statement": "The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34751089", "locator": "sections[5] \"Screening monocyte-related genes\" paragraph 2", "quote": "The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34751089", "locator": "sections[27] \"Data availability statement\" paragraph 2", "quote": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Among the PBMCs of patients with latent and active tuberculosis, 165 DEMonRGs were obtained through the ‘limma’ test and correlation analysis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34751089", "locator": "sections[15] \"Results\" paragraph 2", "quote": "Among the PBMCs of patients with latent and active tuberculosis, 165 DEMonRGs were obtained through the ‘limma’ test and correlation analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Among the PBMCs of patients with latent and active tuberculosis, 165 DEMonRGs were obtained through the ‘limma’ test and correlation analysis.", "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:34751089"], "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:GSE19444"], "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:GSE19444"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34751089", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1080/21655979.2021.2003931", "sha256": "sha256:8c6605aa032dc3fdc67af86a3c0ec8306fd1c031a50c15f11d0b4a36996b1201", "bytes": 36380, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1080/21655979.2021.2003931", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8809927", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE19444", "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=GSE19444", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19444", "version": null, "note": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM484595", "GSM484596", "GSM484597", "GSM484598", "GSM484599", "GSM484600", "GSM484601", "GSM484602", "GSM484603", "GSM484604", "GSM484605", "GSM484606", "GSM484607", "GSM484608", "GSM484609", "GSM484610", "GSM484611", "GSM484612", "GSM484613", "GSM484614", "GSM484615", "GSM484616", "GSM484617", "GSM484618", "GSM484619", "GSM484620", "GSM484621", "GSM484622", "GSM484623", "GSM484624", "GSM484625", "GSM484626", "GSM484627", "GSM484628", "GSM484629", "GSM484630", "GSM484631", "GSM484632", "GSM484633", "GSM484634", "GSM484635", "GSM484636", "GSM484637", "GSM484638", "GSM484639", "GSM484640", "GSM484641", "GSM484642", "GSM484643", "GSM484644", "GSM484645", "GSM484646", "GSM484647", "GSM484648"], "sample_count": 54, "group_sizes": null, "group_sizes_basis": null, "platform": "6947", "taxon": "Homo sapiens", "title": "Blood Transcriptional Profiles of Active and Latent TB (UK Test Set)", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE37250", "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=GSE37250", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE37250", "version": null, "note": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM914353", "GSM914354", "GSM914355", "GSM914356", "GSM914357", "GSM914358", "GSM914359", "GSM914360", "GSM914361", "GSM914362", "GSM914363", "GSM914364", "GSM914365", "GSM914366", "GSM914367", "GSM914368", "GSM914369", "GSM914370", "GSM914371", "GSM914372", "GSM914373", "GSM914374", "GSM914375", "GSM914376", "GSM914377", "GSM914378", "GSM914379", "GSM914380", "GSM914381", "GSM914382", "GSM914383", "GSM914384", "GSM914385", "GSM914386", "GSM914387", "GSM914388", "GSM914389", "GSM914390", "GSM914391", "GSM914392", "GSM914393", "GSM914394", "GSM914395", "GSM914396", "GSM914397", "GSM914398", "GSM914399", "GSM914400", "GSM914401", "GSM914402", "GSM914403", "GSM914404", "GSM914405", "GSM914406", "GSM914407", "GSM914408", "GSM914409", "GSM914410", "GSM914411", "GSM914412", "GSM914413", "GSM914414", "GSM914415", "GSM914416", "GSM914417", "GSM914418", "GSM914419", "GSM914420", "GSM914421", "GSM914422", "GSM914423", "GSM914424", "GSM914425", "GSM914426", "GSM914427", "GSM914428", "GSM914429", "GSM914430", "GSM914431", "GSM914432", "GSM914433", "GSM914434", "GSM914435", "GSM914436", "GSM914437", "GSM914438", "GSM914439", "GSM914440", "GSM914441", "GSM914442", "GSM914443", "GSM914444", "GSM914445", "GSM914446", "GSM914447", "GSM914448", "GSM914449", "GSM914450", "GSM914451", "GSM914452", "GSM914453", "GSM914454", "GSM914455", "GSM914456", "GSM914457", "GSM914458", "GSM914459", "GSM914460", "GSM914461", "GSM914462", "GSM914463", "GSM914464", "GSM914465", "GSM914466", "GSM914467", "GSM914468", "GSM914469", "GSM914470", "GSM914471", "GSM914472", "GSM914473", "GSM914474", "GSM914475", "GSM914476", "GSM914477", "GSM914478", "GSM914479", "GSM914480", "GSM914481", "GSM914482", "GSM914483", "GSM914484", "GSM914485", "GSM914486", "GSM914487", "GSM914488", "GSM914489", "GSM914490", "GSM914491", "GSM914492", "GSM914493", "GSM914494", "GSM914495", "GSM914496", "GSM914497", "GSM914498", "GSM914499", "GSM914500", "GSM914501", "GSM914502", "GSM914503", "GSM914504", "GSM914505", "GSM914506", "GSM914507", "GSM914508", "GSM914509", "GSM914510", "GSM914511", "GSM914512", "GSM914513", "GSM914514", "GSM914515", "GSM914516", "GSM914517", "GSM914518", "GSM914519", "GSM914520", "GSM914521", "GSM914522", "GSM914523", "GSM914524", "GSM914525", "GSM914526", "GSM914527", "GSM914528", "GSM914529", "GSM914530", "GSM914531", "GSM914532", "GSM914533", "GSM914534", "GSM914535", "GSM914536", "GSM914537", "GSM914538", "GSM914539", "GSM914540", "GSM914541", "GSM914542", "GSM914543", "GSM914544", "GSM914545", "GSM914546", "GSM914547", "GSM914548", "GSM914549", "GSM914550", "GSM914551", "GSM914552", "GSM914553", "GSM914554", "GSM914555", "GSM914556", "GSM914557", "GSM914558", "GSM914559", "GSM914560", "GSM914561", "GSM914562", "GSM914563", "GSM914564", "GSM914565", "GSM914566", "GSM914567", "GSM914568", "GSM914569", "GSM914570", "GSM914571", "GSM914572", "GSM914573", "GSM914574", "GSM914575", "GSM914576", "GSM914577", "GSM914578", "GSM914579", "GSM914580", "GSM914581", "GSM914582", "GSM914583", "GSM914584", "GSM914585", "GSM914586", "GSM914587", "GSM914588", "GSM914589", "GSM914590", "GSM914591", "GSM914592", "GSM914593", "GSM914594", "GSM914595", "GSM914596", "GSM914597", "GSM914598", "GSM914599", "GSM914600", "GSM914601", "GSM914602", "GSM914603", "GSM914604", "GSM914605", "GSM914606", "GSM914607", "GSM914608", "GSM914609", "GSM914610", "GSM914611", "GSM914612", "GSM914613", "GSM914614", "GSM914615", "GSM914616", "GSM914617", "GSM914618", "GSM914619", "GSM914620", "GSM914621", "GSM914622", "GSM914623", "GSM914624", "GSM914625", "GSM914626", "GSM914627", "GSM914628", "GSM914629", "GSM914630", "GSM914631", "GSM914632", "GSM914633", "GSM914634", "GSM914635", "GSM914636", "GSM914637", "GSM914638", "GSM914639", "GSM914640", "GSM914641", "GSM914642", "GSM914643", "GSM914644", "GSM914645", "GSM914646", "GSM914647", "GSM914648", "GSM914649", "GSM914650", "GSM914651", "GSM914652", "GSM914653", "GSM914654", "GSM914655", "GSM914656", "GSM914657", "GSM914658", "GSM914659", "GSM914660", "GSM914661", "GSM914662", "GSM914663", "GSM914664", "GSM914665", "GSM914666", "GSM914667", "GSM914668", "GSM914669", "GSM914670", "GSM914671", "GSM914672", "GSM914673", "GSM914674", "GSM914675", "GSM914676", "GSM914677", "GSM914678", "GSM914679", "GSM914680", "GSM914681", "GSM914682", "GSM914683", "GSM914684", "GSM914685", "GSM914686", "GSM914687", "GSM914688", "GSM914689", "GSM914690", "GSM914691", "GSM914692", "GSM914693", "GSM914694", "GSM914695", "GSM914696", "GSM914697", "GSM914698", "GSM914699", "GSM914700", "GSM914701", "GSM914702", "GSM914703", "GSM914704", "GSM914705", "GSM914706", "GSM914707", "GSM914708", "GSM914709", "GSM914710", "GSM914711", "GSM914712", "GSM914713", "GSM914714", "GSM914715", "GSM914716", "GSM914717", "GSM914718", "GSM914719", "GSM914720", "GSM914721", "GSM914722", "GSM914723", "GSM914724", "GSM914725", "GSM914726", "GSM914727", "GSM914728", "GSM914729", "GSM914730", "GSM914731", "GSM914732", "GSM914733", "GSM914734", "GSM914735", "GSM914736", "GSM914737", "GSM914738", "GSM914739", "GSM914740", "GSM914741", "GSM914742", "GSM914743", "GSM914744", "GSM914745", "GSM914746", "GSM914747", "GSM914748", "GSM914749", "GSM914750", "GSM914751", "GSM914752", "GSM914753", "GSM914754", "GSM914755", "GSM914756", "GSM914757", "GSM914758", "GSM914759", "GSM914760", "GSM914761", "GSM914762", "GSM914763", "GSM914764", "GSM914765", "GSM914766", "GSM914767", "GSM914768", "GSM914769", "GSM914770", "GSM914771", "GSM914772", "GSM914773", "GSM914774", "GSM914775", "GSM914776", "GSM914777", "GSM914778", "GSM914779", "GSM914780", "GSM914781", "GSM914782", "GSM914783", "GSM914784", "GSM914785", "GSM914786", "GSM914787", "GSM914788", "GSM914789", "GSM914790", "GSM914791", "GSM914792", "GSM914793", "GSM914794", "GSM914795", "GSM914796", "GSM914797", "GSM914798", "GSM914799", "GSM914800", "GSM914801", "GSM914802", "GSM914803", "GSM914804", "GSM914805", "GSM914806", "GSM914807", "GSM914808", "GSM914809", "GSM914810", "GSM914811", "GSM914812", "GSM914813", "GSM914814", "GSM914815", "GSM914816", "GSM914817", "GSM914818", "GSM914819", "GSM914820", "GSM914821", "GSM914822", "GSM914823", "GSM914824", "GSM914825", "GSM914826", "GSM914827", "GSM914828", "GSM914829", "GSM914830", "GSM914831", "GSM914832", "GSM914833", "GSM914834", "GSM914835", "GSM914836", "GSM914837", "GSM914838", "GSM914839", "GSM914840", "GSM914841", "GSM914842", "GSM914843", "GSM914844", "GSM914845", "GSM914846", "GSM914847", "GSM914848", "GSM914849", "GSM914850", "GSM914851", "GSM914852", "GSM914853", "GSM914854", "GSM914855", "GSM914856", "GSM914857", "GSM914858", "GSM914859", "GSM914860", "GSM914861", "GSM914862", "GSM914863", "GSM914864", "GSM914865", "GSM914866", "GSM914867", "GSM914868", "GSM914869", "GSM914870", "GSM914871", "GSM914872", "GSM914873", "GSM914874", "GSM914875", "GSM914876", "GSM914877", "GSM914878", "GSM914879", "GSM914880", "GSM914881", "GSM914882", "GSM914883", "GSM914884", "GSM914885", "GSM914886", "GSM914887", "GSM914888", "GSM914889"], "sample_count": 537, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Genome-wide transcriptional profiling of HIV positive and negative adults with active tuberculosis, latent TB infection and other diseases", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE39939", "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=GSE39939", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39939", "version": null, "note": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1249177", "GSM1249178", "GSM1249179", "GSM1249180", "GSM1249181", "GSM1249182", "GSM1249183", "GSM1249184", "GSM1249185", "GSM1249186", "GSM1249187", "GSM1249188", "GSM1249189", "GSM1249190", "GSM1249191", "GSM1249192", "GSM1249193", "GSM1249194", "GSM1249195", "GSM1249196", "GSM1249197", "GSM1249198", "GSM1249199", "GSM1249200", "GSM1249201", "GSM1249202", "GSM1249203", "GSM1249204", "GSM1249205", "GSM1249206", "GSM1249207", "GSM1249208", "GSM1249209", "GSM1249210", "GSM1249211", "GSM1249212", "GSM1249213", "GSM1249214", "GSM1249215", "GSM1249216", "GSM1249217", "GSM1249218", "GSM1249219", "GSM1249220", "GSM1249221", "GSM1249222", "GSM1249223", "GSM1249224", "GSM1249225", "GSM1249226", "GSM1249227", "GSM1249228", "GSM1249229", "GSM1249230", "GSM1249231", "GSM1249232", "GSM1249233", "GSM1249234", "GSM1249235", "GSM1249236", "GSM1249237", "GSM1249238", "GSM1249239", "GSM1249240", "GSM1249241", "GSM1249242", "GSM1249243", "GSM1249244", "GSM1249245", "GSM1249246", "GSM1249247", "GSM1249248", "GSM1249249", "GSM1249250", "GSM1249251", "GSM1249252", "GSM1249253", "GSM1249254", "GSM1249255", "GSM1249256", "GSM1249257", "GSM1249258", "GSM1249259", "GSM1249260", "GSM1249261", "GSM1249262", "GSM1249263", "GSM1249264", "GSM1249265", "GSM1249266", "GSM1249267", "GSM1249268", "GSM1249269", "GSM1249270", "GSM1249271", "GSM1249272", "GSM1249273", "GSM1249274", "GSM1249275", "GSM1249276", "GSM1249277", "GSM1249278", "GSM1249279", "GSM1249280", "GSM1249281", "GSM1249282", "GSM1249283", "GSM1249284", "GSM1249285", "GSM1249286", "GSM1249287", "GSM1249288", "GSM1249289", "GSM1249290", "GSM1249291", "GSM1249292", "GSM1249293", "GSM1249294", "GSM1249295", "GSM1249296", "GSM1249297", "GSM1249298", "GSM1249299", "GSM1249300", "GSM1249301", "GSM1249302", "GSM1249303", "GSM1249304", "GSM1249305", "GSM1249306", "GSM1249307", "GSM1249308", "GSM1249309", "GSM1249310", "GSM1249311", "GSM1249312", "GSM1249313", "GSM1249314", "GSM1249315", "GSM1249316", "GSM1249317", "GSM1249318", "GSM1249319", "GSM1249320", "GSM1249321", "GSM1249322", "GSM1249323", "GSM1249324", "GSM1249325", "GSM1249326", "GSM1249327", "GSM1249328", "GSM1249329", "GSM1249330", "GSM1249331", "GSM1249332", "GSM1249333"], "sample_count": 157, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from Kenya", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE39940", "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=GSE39940", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39940", "version": null, "note": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM981627", "GSM981628", "GSM981629", "GSM981630", "GSM981631", "GSM981632", "GSM981633", "GSM981634", "GSM981635", "GSM981636", "GSM981637", "GSM981638", "GSM981639", "GSM981640", "GSM981641", "GSM981642", "GSM981643", "GSM981644", "GSM981645", "GSM981646", "GSM981647", "GSM981648", "GSM981649", "GSM981650", "GSM981651", "GSM981652", "GSM981653", "GSM981654", "GSM981655", "GSM981656", "GSM981657", "GSM981658", "GSM981659", "GSM981660", "GSM981661", "GSM981662", "GSM981663", "GSM981664", "GSM981665", "GSM981666", "GSM981667", "GSM981668", "GSM981669", "GSM981670", "GSM981671", "GSM981672", "GSM981673", "GSM981674", "GSM981675", "GSM981676", "GSM981677", "GSM981678", "GSM981679", "GSM981680", "GSM981681", "GSM981682", "GSM981683", "GSM981684", "GSM981685", "GSM981686", "GSM981687", "GSM981688", "GSM981689", "GSM981690", "GSM981691", "GSM981692", "GSM981693", "GSM981694", "GSM981695", "GSM981696", "GSM981697", "GSM981698", "GSM981699", "GSM981700", "GSM981701", "GSM981702", "GSM981703", "GSM981704", "GSM981705", "GSM981706", "GSM981707", "GSM981708", "GSM981709", "GSM981710", "GSM981711", "GSM981712", "GSM981713", "GSM981714", "GSM981715", "GSM981716", "GSM981717", "GSM981718", "GSM981719", "GSM981720", "GSM981721", "GSM981722", "GSM981723", "GSM981724", "GSM981725", "GSM981726", "GSM981727", "GSM981728", "GSM981729", "GSM981730", "GSM981731", "GSM981732", "GSM981733", "GSM981734", "GSM981735", "GSM981736", "GSM981737", "GSM981738", "GSM981739", "GSM981740", "GSM981741", "GSM981742", "GSM981743", "GSM981744", "GSM981745", "GSM981746", "GSM981747", "GSM981748", "GSM981749", "GSM981750", "GSM981751", "GSM981752", "GSM981753", "GSM981754", "GSM981755", "GSM981756", "GSM981757", "GSM981758", "GSM981759", "GSM981760", "GSM981761", "GSM981762", "GSM981763", "GSM981764", "GSM981765", "GSM981766", "GSM981767", "GSM981768", "GSM981769", "GSM981770", "GSM981771", "GSM981772", "GSM981773", "GSM981774", "GSM981775", "GSM981776", "GSM981777", "GSM981778", "GSM981779", "GSM981780", "GSM981781", "GSM981782", "GSM981783", "GSM981784", "GSM981785", "GSM981786", "GSM981787", "GSM981788", "GSM981789", "GSM981790", "GSM981791", "GSM981792", "GSM981793", "GSM981794", "GSM981795", "GSM981796", "GSM981797", "GSM981798", "GSM981799", "GSM981800", "GSM981801", "GSM981802", "GSM981803", "GSM981804", "GSM981805", "GSM981806", "GSM981807", "GSM981808", "GSM981809", "GSM981810", "GSM981811", "GSM981812", "GSM981813", "GSM981814", "GSM981815", "GSM981816", "GSM981817", "GSM981818", "GSM981819", "GSM981820", "GSM981821", "GSM981822", "GSM981823", "GSM981824", "GSM981825", "GSM981826", "GSM981827", "GSM981828", "GSM981829", "GSM981830", "GSM981831", "GSM981832", "GSM981833", "GSM981834", "GSM981835", "GSM981836", "GSM981837", "GSM981838", "GSM981839", "GSM981840", "GSM981841", "GSM981842", "GSM981843", "GSM981844", "GSM981845", "GSM981846", "GSM981847", "GSM981848", "GSM981849", "GSM981850", "GSM981851", "GSM981852", "GSM981853", "GSM981854", "GSM981855", "GSM981856", "GSM981857", "GSM981858", "GSM981859", "GSM981860", "GSM981861", "GSM981862", "GSM981863", "GSM981864", "GSM981865", "GSM981866", "GSM981867", "GSM981868", "GSM981869", "GSM981870", "GSM981871", "GSM981872", "GSM981873", "GSM981874", "GSM981875", "GSM981876", "GSM981877", "GSM981878", "GSM981879", "GSM981880", "GSM981881", "GSM981882", "GSM981883", "GSM981884", "GSM981885", "GSM981886", "GSM981887", "GSM981888", "GSM981889", "GSM981890", "GSM981891", "GSM981892", "GSM981893", "GSM981894", "GSM981895", "GSM981896", "GSM981897", "GSM981898", "GSM981899", "GSM981900", "GSM981901", "GSM981902", "GSM981903", "GSM981904", "GSM981905", "GSM981906", "GSM981907", "GSM981908", "GSM981909", "GSM981910", "GSM981911", "GSM981912", "GSM981913", "GSM981914", "GSM981915", "GSM981916", "GSM981917", "GSM981918", "GSM981919", "GSM981920", "GSM981921", "GSM981922", "GSM981926", "GSM981927", "GSM981928", "GSM981929", "GSM981930", "GSM981931", "GSM981932", "GSM981933", "GSM981934", "GSM981935", "GSM981936", "GSM981937", "GSM981938", "GSM981939", "GSM981940", "GSM981941", "GSM981942", "GSM981943", "GSM981944", "GSM981945", "GSM981946", "GSM981947", "GSM981948", "GSM981949", "GSM981950", "GSM981951", "GSM981952", "GSM981953", "GSM981954", "GSM981955", "GSM981956", "GSM981957", "GSM981958", "GSM981959", "GSM981960", "GSM982065", "GSM982066", "GSM982067"], "sample_count": 334, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from South Africa and Malawi", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE54992", "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=GSE54992", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE54992", "version": null, "note": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1327526", "GSM1327527", "GSM1327528", "GSM1327529", "GSM1327530", "GSM1327531", "GSM1327532", "GSM1327533", "GSM1327534", "GSM1327535", "GSM1327536", "GSM1327537", "GSM1327538", "GSM1327539", "GSM1327540", "GSM1327541", "GSM1327542", "GSM1327543", "GSM1327544", "GSM1327545", "GSM1327546", "GSM1327547", "GSM1327548", "GSM1327549", "GSM1327550", "GSM1327551", "GSM1327552", "GSM1327553", "GSM1327554", "GSM1327555", "GSM1327556", "GSM1327557", "GSM1327558", "GSM1327559", "GSM1327560", "GSM1327561", "GSM1327562", "GSM1327563", "GSM1327564"], "sample_count": 39, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Expression data from peripheral blood", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE19444 not downloaded", "asset:data:geo:GSE19444 licence not read", "asset:data:geo:GSE37250 not downloaded", "asset:data:geo:GSE37250 licence not read", "asset:data:geo:GSE39939 not downloaded", "asset:data:geo:GSE39939 licence not read", "asset:data:geo:GSE39940 not downloaded", "asset:data:geo:GSE39940 licence not read", "asset:data:geo:GSE54992 not downloaded", "asset:data:geo:GSE54992 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance."}}, {"id": "method-2", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}, {"id": "method-3", "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"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "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": ["GSE54992", "GSE19444", "GSE37250", "GSE39939", "GSE39940"], "resolved_accessions": ["GSE54992", "GSE19444", "GSE37250", "GSE39939", "GSE39940"], "statements": ["The datasets analyzed during the present study are available from GEO database (http://www.ncbi.nlm.nih.gov/geo/). For further inquiries, please contact the corresponding author."], "basis": "The paper names GSE54992, GSE19444, GSE37250, GSE39939, GSE39940 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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:34751089", "data:geo:GSE19444"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE19444"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:06:32Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9822, "completion_tokens": 2440, "cached_tokens": 128}}, "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:34751089", "type": "paper", "label": "pmid:34751089"}, {"id": "source:pmid:34751089", "type": "manuscript", "label": "PMID 34751089 full text"}, {"id": "data:geo:GSE19444", "type": "dataset", "label": "GEO GSE19444"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34751089", "type": "paper", "label": "pmid:34751089"}, {"id": "source:pmid:34751089", "type": "manuscript", "label": "PMID 34751089 full text"}, {"id": "data:geo:GSE19444", "type": "dataset", "label": "GEO GSE19444"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34751089", "type": "extraction", "used": ["source:pmid:34751089"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE19444", "type": "accession_resolution", "used": ["data:geo:GSE19444"], "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:34751089", "parent_hash": "sha256:5e749a689f3b0b03479a8be5325a0bce0a147249e2f196f66c2a41b9d77ad342", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE19444 licence not read", "asset:data:geo:GSE19444 not downloaded", "asset:data:geo:GSE37250 licence not read", "asset:data:geo:GSE37250 not downloaded", "asset:data:geo:GSE39939 licence not read", "asset:data:geo:GSE39939 not downloaded", "asset:data:geo:GSE39940 licence not read", "asset:data:geo:GSE39940 not downloaded", "asset:data:geo:GSE54992 licence not read", "asset:data:geo:GSE54992 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": [") software. Verification in clinical samples RT-qPCR results showed that peripheral blood mononuc", "oftware. Verification in clinical samples RT-qPCR results showed that peripheral blood mononuc"], "order_basis": "paper_text_order:2269", "id": "assay:1"}, {"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": ["The ‘limma’ package in the R software was used to identify the DEGs among latent and active TB samples. If |fold change|≥1 and P < 0.05, genes were considered to be differentially expressed. Finally, Pearson’s correlation analysis was used to identify genes related to monocyte abundance."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}