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pmid:36110846

Identification of SLAMF1 as an immune-related key gene associated with rheumatoid arthritis and verified in mice collagen-induced arthritis model.

Anqi Li · Zhanfeng Zhang · Xiaochen Ru · Yanfeng Yi · Xiaoyu Li · Jing Qian · Jue Wang · Xiaobing Yang · Yunliang Yao

Frontiers in immunology · 2022 doi:10.3389/fimmu.2022.961129

Paper

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2026-11-01T22:07:34Z
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title
Identification of SLAMF1 as an immune-related key gene associated with rheumatoid arthritis and verified in mice collagen-induced arthritis model.
doi
10.3389/fimmu.2022.961129
pmid
36110846
authors array · 9 items
[0]
Anqi Li
[1]
Zhanfeng Zhang
[2]
Xiaochen Ru
[3]
Yanfeng Yi
[4]
Xiaoyu Li
[5]
Jing Qian
[6]
Jue Wang
[7]
Xiaobing Yang
[8]
Yunliang Yao
journal
Frontiers in immunology
year
2022
abstract
Background: Rheumatoid arthritis (RA) is the most common inflammatory arthropathy. Immune dysregulation was implicated in the pathogenesis of RA. Thus, the aim of the research was to determine the immune related biomarkers in RA. Methods: We downloaded the gene expression data of RA in GSE89408 and GSE45291 from Gene Expression Omnibus public database (GEO). Differentially expressed genes (DEGs) were identified between RA and control groups. Infiltrating immune cells related genes were obtained by ssGSEA and weighted gene co-expression network analysis (WGCNA). We performed functional enrichment analysis of differentially expressed immunity-related genes (DEIRGs) by "clusterProfiler" R package, key genes screening by protein-protein interaction (PPI) network of DEIRGs. And mice collagen-induced arthritis (CIA) model was employed to verify these key genes. Results: A total of 1,885 up-regulated and 1,899 down-regulated DEGs were identified in RA samples. The ssGSEA analysis showed that the infiltration of 25 cells was significantly different. 603 immune related genes were obtained by WGCNA, and 270 DEIRGs were obtained by taking the intersection of DEGs and immune related genes. Enrichment analyses indicated that DEIRGs were associated with immunity related biological processes. 4 candidate biomarkers (CCR7, KLRK1, TIGIT and SLAMF1) were identified from the PPI network of DEIRGs and literature research.In mice CIA model, the immunohistochemical stain showed SLAMF1 has a significantly high expression in diseased joints. And flow cytometry analysis shows the expression of SLAMF1 on CIA mice-derived CTL cells, Th, NK cells, NKT cells, classical dendritic cell (cDCs) and monocytes/macrophages was also significantly higher than corresponding immune cells from HC mice. Conclusion: Our study identified SMLAF1 as a key biomarker in the development and progression of RA, which might provide new insight for exploring the pathogenesis of RA.
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The difference in the immune cell infiltration between the RA and normal groups was carried out using the Wilcoxon rank-sum test (p value < 0.05).
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sections[6] "Analysis of immune cell characteristics" paragraph 2
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The difference in the immune cell infiltration between the RA and normal groups was carried out using the Wilcoxon rank-sum test (p value < 0.05).
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sections[21] "Data availability statement" paragraph 2
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The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
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As showed in Figures 6A, B , the AUCROC and AUCPR of Slamf1 were 0.899 and 0.981, also which indicated that SLAMF1 has a particular reference value in diagnosing RA patients.
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sections[19] "Evaluation and verification of the diagnostic effect of SLAMF1 on RA" paragraph 2
quote
As showed in Figures 6A, B , the AUCROC and AUCPR of Slamf1 were 0.899 and 0.981, also which indicated that SLAMF1 has a particular reference value in diagnosing RA patients.
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As showed in Figures 6A, B , the AUCROC and AUCPR of Slamf1 were 0.899 and 0.981, also which indicated that SLAMF1 has a particular reference value in diagnosing RA patients.
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[487]
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[517]
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[518]
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[519]
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[520]
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[524]
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[525]
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[526]
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[528]
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[529]
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[530]
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[531]
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[532]
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[533]
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[534]
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[536]
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[537]
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[538]
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[541]
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[543]
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[547]
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[548]
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[550]
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[551]
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[552]
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[553]
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[554]
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[555]
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[556]
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[557]
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[558]
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[559]
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[560]
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[561]
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[562]
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[563]
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[564]
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[565]
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[566]
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[567]
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[568]
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[569]
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[570]
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[571]
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[572]
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[573]
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[574]
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[575]
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[576]
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[577]
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[578]
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[579]
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[580]
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[581]
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[582]
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[583]
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[584]
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[585]
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[586]
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[587]
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[588]
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[589]
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[590]
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[591]
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[592]
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[593]
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[594]
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[595]
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[596]
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[597]
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[598]
GSM1101441
[599]
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[600]
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[601]
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[602]
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[603]
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[604]
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[605]
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[606]
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[607]
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[608]
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[609]
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[610]
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[611]
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[612]
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[613]
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[614]
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[615]
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[616]
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[617]
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[618]
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[619]
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[620]
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[621]
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[622]
GSM1101465
[623]
GSM1101466
[624]
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[625]
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[626]
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[627]
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[628]
GSM1101471
[629]
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[630]
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[631]
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[632]
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[633]
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[634]
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[635]
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[636]
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[637]
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[638]
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[639]
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[640]
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[641]
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[642]
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[643]
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[644]
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[645]
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[646]
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[647]
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[648]
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[649]
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[650]
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[651]
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[652]
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[653]
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[654]
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[655]
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[656]
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[657]
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[658]
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[659]
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[660]
GSM1101503
[661]
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[662]
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[663]
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[664]
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[665]
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[666]
GSM1101509
[667]
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[668]
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[669]
GSM1101512
[670]
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[671]
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[672]
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[673]
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[674]
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[675]
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[676]
GSM1101519
[677]
GSM1101520
[678]
GSM1101521
[679]
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[680]
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[681]
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[682]
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[683]
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[684]
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[685]
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[686]
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[687]
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[688]
GSM1101531
[689]
GSM1101532
[690]
GSM1101533
[691]
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[692]
GSM1101535
[693]
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[694]
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[695]
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[696]
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[697]
GSM1101540
[698]
GSM1101541
[699]
GSM1101542
[700]
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[701]
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[702]
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[703]
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[704]
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[705]
GSM1101548
[706]
GSM1101549
[707]
GSM1101550
[708]
GSM1101551
[709]
GSM1101552
[710]
GSM1101553
[711]
GSM1101554
[712]
GSM1101555
[713]
GSM1101556
[714]
GSM1101557
[715]
GSM1101558
[716]
GSM1101559
[717]
GSM1101560
[718]
GSM1101561
[719]
GSM1101562
[720]
GSM1101563
[721]
GSM1101564
[722]
GSM1101565
[723]
GSM1101566
[724]
GSM1101567
[725]
GSM1101568
[726]
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[727]
GSM1101570
[728]
GSM1101571
[729]
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[730]
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[731]
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[732]
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[733]
GSM1101576
[734]
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[735]
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[736]
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[737]
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[738]
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[739]
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[740]
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[741]
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[742]
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[743]
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[744]
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[745]
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[746]
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[747]
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[748]
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[749]
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[750]
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[751]
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[752]
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[753]
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[754]
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[755]
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[756]
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[757]
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[758]
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[759]
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[760]
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[761]
GSM1101604
[762]
GSM1101605
[763]
GSM1101606
[764]
GSM1101607
[765]
GSM1101608
[766]
GSM1101609
[767]
GSM1101610
[768]
GSM1101611
[769]
GSM1101612
[770]
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[771]
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[772]
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[773]
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[774]
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[775]
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[776]
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[778]
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[781]
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[782]
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[783]
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[784]
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[785]
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[786]
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[787]
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[788]
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[789]
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[790]
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[791]
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[792]
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[793]
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[794]
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[795]
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[796]
GSM1101639
[797]
GSM1101640
[798]
GSM1101641
[799]
GSM1101642
[800]
GSM1101643
[801]
GSM1101644
[802]
GSM1101645
[803]
GSM1101646
[804]
GSM1101647
sample_count
805
group_sizes
null
group_sizes_basis
null
platform
13158
taxon
Homo sapiens
title
Inhibition of Lymphotoxin-LIGHT Signaling Reduces the Interferon Signature in Rheumatoid Arthritis Patients
resolution_checked_at
2026-11-01T18:06:44Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE89408
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=GSE89408
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE89408
version
null
note
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
access_statement_kind
data_availability_statement
sample_accessions array · 218 items
[0]
GSM2370970
[1]
GSM2370971
[2]
GSM2370972
[3]
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[4]
GSM2370974
[5]
GSM2370975
[6]
GSM2370976
[7]
GSM2370977
[8]
GSM2370978
[9]
GSM2370979
[10]
GSM2370980
[11]
GSM2370981
[12]
GSM2370982
[13]
GSM2370983
[14]
GSM2370984
[15]
GSM2370985
[16]
GSM2370986
[17]
GSM2370987
[18]
GSM2370988
[19]
GSM2370989
[20]
GSM2370990
[21]
GSM2370991
[22]
GSM2370992
[23]
GSM2370993
[24]
GSM2370994
[25]
GSM2370995
[26]
GSM2370996
[27]
GSM2370997
[28]
GSM2370998
[29]
GSM2370999
[30]
GSM2371000
[31]
GSM2371001
[32]
GSM2371002
[33]
GSM2371003
[34]
GSM2371004
[35]
GSM2371005
[36]
GSM2371006
[37]
GSM2371007
[38]
GSM2371008
[39]
GSM2371009
[40]
GSM2371010
[41]
GSM2371011
[42]
GSM2371012
[43]
GSM2371013
[44]
GSM2371014
[45]
GSM2371015
[46]
GSM2371016
[47]
GSM2371017
[48]
GSM2371018
[49]
GSM2371019
[50]
GSM2371020
[51]
GSM2371021
[52]
GSM2371022
[53]
GSM2371023
[54]
GSM2371024
[55]
GSM2371025
[56]
GSM2371026
[57]
GSM2371027
[58]
GSM2371028
[59]
GSM2371029
[60]
GSM2371030
[61]
GSM2371031
[62]
GSM2371032
[63]
GSM2371033
[64]
GSM2371034
[65]
GSM2371035
[66]
GSM2371036
[67]
GSM2371037
[68]
GSM2371038
[69]
GSM2371039
[70]
GSM2371040
[71]
GSM2371041
[72]
GSM2371042
[73]
GSM2371043
[74]
GSM2371044
[75]
GSM2371045
[76]
GSM2371046
[77]
GSM2371047
[78]
GSM2371048
[79]
GSM2371049
[80]
GSM2371050
[81]
GSM2371051
[82]
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[83]
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[84]
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[85]
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[86]
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[87]
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[88]
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[89]
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[90]
GSM2371060
[91]
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[92]
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[93]
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[94]
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[95]
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[96]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[106]
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[107]
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[110]
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[111]
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[112]
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[113]
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[114]
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[115]
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[116]
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[117]
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[118]
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[119]
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[120]
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[121]
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[123]
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[124]
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[125]
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[126]
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[127]
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[128]
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[129]
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[130]
GSM2371100
[131]
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[132]
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[133]
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[134]
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[135]
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[136]
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[137]
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[138]
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[139]
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[140]
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[141]
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[143]
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[144]
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[146]
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[150]
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[151]
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[152]
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[154]
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[155]
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[156]
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[157]
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[171]
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[201]
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[202]
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[204]
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[205]
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[206]
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[207]
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[208]
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[209]
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[213]
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[214]
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[215]
GSM2371185
[216]
GSM2371186
[217]
GSM2371187
sample_count
218
group_sizes
null
group_sizes_basis
null
platform
11154
taxon
Homo sapiens
title
RNAseq study of synovial biopsies
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE45291 not downloaded
[1]
asset:data:geo:GSE45291 licence not read
[2]
asset:data:geo:GSE89408 not downloaded
[3]
asset:data:geo:GSE89408 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
1
band
verbatim
quote
The difference in the immune cell infiltration between the RA and normal groups was carried out using the Wilcoxon rank-sum test (p value < 0.05).
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
GO enrichment
targets array · 0 items
gaps array · 1 item
[0]
method.group_comparison_wilcoxon
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
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon.
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]
GSE89408
[1]
GSE45291
resolved_accessions array · 2 items
[0]
GSE89408
[1]
GSE45291
statements array · 1 item
[0]
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
basis
The paper names GSE89408, GSE45291 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 · 0 items
assets array · 2 items
[0]
source:pmid:36110846
[1]
data:geo:GSE45291
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
[0] object · 3 fields
operation
group_comparison_wilcoxon
priority
null
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE45291
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
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iated with rheumatoid arthritis and verified in mice collagen-induced arthritis model.
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PI network of DEIRGs and literature research.In mice CIA model, the immunohistochemical stain sho
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d literature research.In mice CIA model, the immunohistochemical stain showed SLAMF1 has a significantly high
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ntly high expression in diseased joints. And flow cytometry analysis shows the expression of SLAMF1 on C
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The difference in the immune cell infiltration between the RA and normal groups was carried out using the Wilcoxon rank-sum test (p value < 0.05).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36110846", "kind": "science-record", "revision": 4, "content_hash": "sha256:c8323947ad4cbdcb6e213850addef1445519fe2a162c28780afe45bbaae58375", "created_at": "2026-11-01T18:15:22Z", "updated_at": "2026-11-01T22:07:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of SLAMF1 as an immune-related key gene associated with rheumatoid arthritis and verified in mice collagen-induced arthritis model.", "doi": "10.3389/fimmu.2022.961129", "pmid": "36110846", "authors": ["Anqi Li", "Zhanfeng Zhang", "Xiaochen Ru", "Yanfeng Yi", "Xiaoyu Li", "Jing Qian", "Jue Wang", "Xiaobing Yang", "Yunliang Yao"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "Background: Rheumatoid arthritis (RA) is the most common inflammatory arthropathy. Immune dysregulation was implicated in the pathogenesis of RA. Thus, the aim of the research was to determine the immune related biomarkers in RA.\nMethods: We downloaded the gene expression data of RA in GSE89408 and GSE45291 from Gene Expression Omnibus public database (GEO). Differentially expressed genes (DEGs) were identified between RA and control groups. Infiltrating immune cells related genes were obtained by ssGSEA and weighted gene co-expression network analysis (WGCNA). We performed functional enrichment analysis of differentially expressed immunity-related genes (DEIRGs) by \"clusterProfiler\" R package, key genes screening by protein-protein interaction (PPI) network of DEIRGs. And mice collagen-induced arthritis (CIA) model was employed to verify these key genes.\nResults: A total of 1,885 up-regulated and 1,899 down-regulated DEGs were identified in RA samples. The ssGSEA analysis showed that the infiltration of 25 cells was significantly different. 603 immune related genes were obtained by WGCNA, and 270 DEIRGs were obtained by taking the intersection of DEGs and immune related genes. Enrichment analyses indicated that DEIRGs were associated with immunity related biological processes. 4 candidate biomarkers (CCR7, KLRK1, TIGIT and SLAMF1) were identified from the PPI network of DEIRGs and literature research.In mice CIA model, the immunohistochemical stain showed SLAMF1 has a significantly high expression in diseased joints. And flow cytometry analysis shows the expression of SLAMF1 on CIA mice-derived CTL cells, Th, NK cells, NKT cells, classical dendritic cell (cDCs) and monocytes/macrophages was also significantly higher than corresponding immune cells from HC mice.\nConclusion: Our study identified SMLAF1 as a key biomarker in the development and progression of RA, which might provide new insight for exploring the pathogenesis of RA.", "claims": [{"id": "claim-method", "statement": "The difference in the immune cell infiltration between the RA and normal groups was carried out using the Wilcoxon rank-sum test (p value < 0.05).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36110846", "locator": "sections[6] \"Analysis of immune cell characteristics\" paragraph 2", "quote": "The difference in the immune cell infiltration between the RA and normal groups was carried out using the Wilcoxon rank-sum test (p value < 0.05)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36110846", "locator": "sections[21] \"Data availability statement\" paragraph 2", "quote": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation."}], "state": "complete"}, {"id": "claim-target-result", "statement": "As showed in Figures 6A, B , the AUCROC and AUCPR of Slamf1 were 0.899 and 0.981, also which indicated that SLAMF1 has a particular reference value in diagnosing RA patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36110846", "locator": "sections[19] \"Evaluation and verification of the diagnostic effect of SLAMF1 on RA\" paragraph 2", "quote": "As showed in Figures 6A, B , the AUCROC and AUCPR of Slamf1 were 0.899 and 0.981, also which indicated that SLAMF1 has a particular reference value in diagnosing RA patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "As showed in Figures 6A, B , the AUCROC and AUCPR of Slamf1 were 0.899 and 0.981, also which indicated that SLAMF1 has a particular reference value in diagnosing RA patients.", "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:36110846"], "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:GSE45291"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE45291"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36110846", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": 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