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pmid:31838482

Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock.

Yingchun Hu · Lingxia Cheng · Wu Zhong · Muhu Chen · Qian Zhang

Medical science monitor : international medical journal of experimental and clinical research · 2019 doi:10.12659/MSM.918491

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Experiment

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Data

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title
Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock.
doi
10.12659/MSM.918491
pmid
31838482
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[0]
Yingchun Hu
[1]
Lingxia Cheng
[2]
Wu Zhong
[3]
Muhu Chen
[4]
Qian Zhang
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2019
abstract
BACKGROUND Septic shock occurs when sepsis is associated with critically low blood pressure, and has a high mortality rate. This study aimed to undertake a bioinformatics analysis of gene expression profiles for risk prediction in septic shock. MATERIAL AND METHODS Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. Patients with septic shock had both sepsis and hypotension, and a normal control group was included. The differentially expressed genes (DEGs) were identified using OmicShare tools based on R. Functional enrichment of DEGs was analyzed using DAVID. The protein-protein interaction (PPI) network was established using STRING. Survival curves of key genes were constructed using GraphPad Prism version 7.0. Each putative central gene was analyzed by receiver operating characteristic (ROC) curves using MedCalc statistical software. RESULTS GSE64457 and GSE57065 included 130 RNA samples derived from whole blood from 97 patients with septic shock and 33 healthy volunteers to obtain 975 DEGs, 455 of which were significantly down-regulated and 520 were significantly upregulated (P<0.05). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified significantly enriched DEGs in four signaling pathways, MAPK, TNF, HIF-1, and insulin. Six genes, WDR82, ASH1L, NCOA1, TPR, SF1, and CREBBP in the center of the PPI network were associated with septic shock, according to survival curve and ROC analysis. CONCLUSIONS Bioinformatics analysis of gene expression profiles identified four signaling pathways and six genes, potentially representing molecular mechanisms for the occurrence, progression, and risk prediction in septic shock.
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After logarithmic pretreatment of the original data, OmicShare online tools based on R (www.omicshare.com/tools) were used to identify the DEGs in the septic shock and control cases. The P-value was corrected for the occurrence of false-positive results, and the genes with a P-value <0.05 were considered as initial DEGs.
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sections[4] "Data preprocessing and analysis of differentially expressed genes (DEGs)" paragraph 2
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After logarithmic pretreatment of the original data, OmicShare online tools based on R (www.omicshare.com/tools) were used to identify the DEGs in the septic shock and control cases. The P-value was corrected for the occurrence of false-positive results, and the genes with a P-value <0.05 were considered as initial DEGs.
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Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples.
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Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065.
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The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples.
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Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples.
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Early and dynamic changes in gene expression in septic shock patients: a genome wide approach
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[279]
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[280]
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[281]
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[282]
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[283]
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[284]
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[285]
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[286]
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[287]
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[288]
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[289]
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[290]
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[291]
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[292]
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[293]
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[294]
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[295]
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[296]
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[297]
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[298]
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[299]
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[300]
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[301]
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[302]
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[303]
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[304]
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[305]
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[307]
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[308]
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[319]
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[320]
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[321]
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[322]
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[323]
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[324]
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[325]
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[326]
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[327]
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[328]
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[330]
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[331]
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[332]
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[333]
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[342]
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[343]
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[344]
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[345]
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[346]
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[347]
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[349]
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[350]
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[351]
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[352]
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[353]
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[354]
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[355]
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[356]
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[357]
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[358]
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[359]
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[360]
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[361]
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[362]
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[363]
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[365]
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[366]
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[367]
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[368]
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[369]
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[370]
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[371]
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[372]
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[373]
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[374]
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[375]
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[376]
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[377]
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[379]
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[380]
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[381]
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[382]
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[383]
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[384]
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[385]
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[386]
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[387]
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[388]
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[389]
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[390]
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[391]
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[392]
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[393]
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[394]
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[395]
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[396]
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[397]
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[398]
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[399]
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[400]
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[401]
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[402]
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[403]
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[404]
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[405]
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[406]
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[407]
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[408]
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[409]
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[410]
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[411]
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[412]
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[413]
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[414]
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[415]
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[416]
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[417]
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[418]
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[419]
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[420]
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[421]
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[422]
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[423]
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[424]
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[425]
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[426]
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[427]
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[428]
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[429]
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[430]
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[431]
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[432]
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[433]
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[434]
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[435]
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[436]
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[437]
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[438]
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[439]
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[440]
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[441]
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[442]
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[443]
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[444]
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[445]
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[446]
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[447]
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[448]
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[449]
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[450]
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[451]
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[452]
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[453]
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[454]
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[455]
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[456]
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[457]
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[458]
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[459]
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[460]
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[461]
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[462]
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[463]
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[464]
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[465]
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[466]
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[467]
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[468]
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[469]
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[470]
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[471]
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[472]
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[473]
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[474]
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[475]
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[476]
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[477]
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[478]
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[479]
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[480]
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[481]
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[482]
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[483]
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[484]
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[485]
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[486]
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[487]
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[488]
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[489]
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[490]
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[491]
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[492]
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[493]
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[494]
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[495]
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[496]
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[497]
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[498]
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[499]
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[500]
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[501]
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[502]
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[503]
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[504]
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[505]
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[506]
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[507]
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[508]
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[509]
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[510]
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[511]
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[512]
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[513]
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[514]
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[515]
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[516]
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[517]
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[518]
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[519]
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[520]
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[521]
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[522]
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[523]
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[524]
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[525]
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[526]
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[527]
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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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[535]
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[536]
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[537]
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[538]
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[539]
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[540]
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[541]
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[542]
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[543]
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[544]
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[545]
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[546]
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[547]
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[548]
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[549]
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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]
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[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]
GSM1692310
[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]
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[623]
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[624]
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[625]
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[626]
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[627]
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[628]
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[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]
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[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]
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[667]
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[668]
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[669]
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[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]
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[677]
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[678]
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[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]
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[689]
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[690]
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[691]
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[692]
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[693]
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[694]
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[695]
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[696]
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[697]
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[698]
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[699]
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[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]
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[706]
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[707]
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[708]
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[709]
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[710]
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[711]
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[712]
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[713]
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[714]
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[715]
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[716]
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[717]
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[718]
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[719]
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[720]
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[721]
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[722]
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[723]
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[724]
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[725]
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[726]
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[727]
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[728]
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[729]
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[730]
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[731]
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[733]
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[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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[756]
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[759]
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[761]
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[763]
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[764]
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[766]
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[793]
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[794]
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[795]
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[796]
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[797]
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[798]
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[799]
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[800]
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[801]
GSM1692504
sample_count
802
group_sizes
null
group_sizes_basis
null
platform
13667
taxon
Homo sapiens
title
Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE57065 not downloaded
[1]
asset:data:geo:GSE57065 licence not read
[2]
asset:data:geo:GSE64457 not downloaded
[3]
asset:data:geo:GSE64457 licence not read
[4]
asset:data:geo:GSE65682 not downloaded
[5]
asset:data:geo:GSE65682 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[1] object · 10 fields
id
method-2
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
ROC analysis
[2] object · 10 fields
id
method-3
family
null
specific
null
label
Differentially expressed genes were identified using OmicShare online tools based on R, with the P-value corrected for false-positive results and genes having P<0.05 considered initial DEGs.
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
After logarithmic pretreatment of the original data, OmicShare online tools based on R (www.omicshare.com/tools) were used to identify the DEGs in the septic shock and control cases. The P-value was corrected for the occurrence of false-positive results, and the genes with a P-value <0.05 were considered as initial DEGs.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE64457
[1]
GSE57065
[2]
GSE65682
resolved_accessions array · 3 items
[0]
GSE64457
[1]
GSE57065
[2]
GSE65682
statements array · 1 item
[0]
Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples.
basis
The paper names GSE64457, GSE57065, GSE65682 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 2 items
[0]
source:pmid:31838482
[1]
data:geo:GSE57065
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:GSE57065
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
2026-10-31T18:17:22Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31838482", "kind": "science-record", "revision": 5, "content_hash": "sha256:4dbe480416dd46b497c1a5b57e7bd7798b9ba2f5f37dd73ba31cf85f217b5ea7", "created_at": "2026-11-01T15:40:53Z", "updated_at": "2026-11-01T22:01:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock.", "doi": "10.12659/MSM.918491", "pmid": "31838482", "authors": ["Yingchun Hu", "Lingxia Cheng", "Wu Zhong", "Muhu Chen", "Qian Zhang"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2019, "abstract": "BACKGROUND Septic shock occurs when sepsis is associated with critically low blood pressure, and has a high mortality rate. This study aimed to undertake a bioinformatics analysis of gene expression profiles for risk prediction in septic shock. MATERIAL AND METHODS Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. Patients with septic shock had both sepsis and hypotension, and a normal control group was included. The differentially expressed genes (DEGs) were identified using OmicShare tools based on R. Functional enrichment of DEGs was analyzed using DAVID. The protein-protein interaction (PPI) network was established using STRING. Survival curves of key genes were constructed using GraphPad Prism version 7.0. Each putative central gene was analyzed by receiver operating characteristic (ROC) curves using MedCalc statistical software. RESULTS GSE64457 and GSE57065 included 130 RNA samples derived from whole blood from 97 patients with septic shock and 33 healthy volunteers to obtain 975 DEGs, 455 of which were significantly down-regulated and 520 were significantly upregulated (P<0.05). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified significantly enriched DEGs in four signaling pathways, MAPK, TNF, HIF-1, and insulin. Six genes, WDR82, ASH1L, NCOA1, TPR, SF1, and CREBBP in the center of the PPI network were associated with septic shock, according to survival curve and ROC analysis. CONCLUSIONS Bioinformatics analysis of gene expression profiles identified four signaling pathways and six genes, potentially representing molecular mechanisms for the occurrence, progression, and risk prediction in septic shock.", "claims": [{"id": "claim-method", "statement": "After logarithmic pretreatment of the original data, OmicShare online tools based on R (www.omicshare.com/tools) were used to identify the DEGs in the septic shock and control cases. The P-value was corrected for the occurrence of false-positive results, and the genes with a P-value <0.05 were considered as initial DEGs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31838482", "locator": "sections[4] \"Data preprocessing and analysis of differentially expressed genes (DEGs)\" paragraph 2", "quote": "After logarithmic pretreatment of the original data, OmicShare online tools based on R (www.omicshare.com/tools) were used to identify the DEGs in the septic shock and control cases. The P-value was corrected for the occurrence of false-positive results, and the genes with a P-value <0.05 were considered as initial DEGs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31838482", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065."}, {"asset": "source:pmid:31838482", "locator": "sections[3] \"Data sources\" paragraph 2", "quote": "The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:31838482"], "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:GSE57065"], "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:GSE57065"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31838482", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.918491", "sha256": "sha256:0041ba1ccd2dcf27c05e0bdc80d46a4cd8622f18b06ac68ae839ed95f876054d", "bytes": 19989, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12659/MSM.918491", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6929537", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE57065", "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=GSE57065", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE57065", "version": null, "note": "Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. 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"GSM1692465", "GSM1692466", "GSM1692467", "GSM1692468", "GSM1692469", "GSM1692470", "GSM1692471", "GSM1692472", "GSM1692473", "GSM1692474", "GSM1692475", "GSM1692476", "GSM1692477", "GSM1692478", "GSM1692479", "GSM1692480", "GSM1692481", "GSM1692482", "GSM1692483", "GSM1692484", "GSM1692485", "GSM1692487", "GSM1692488", "GSM1692489", "GSM1692490", "GSM1692491", "GSM1692492", "GSM1692493", "GSM1692494", "GSM1692495", "GSM1692496", "GSM1692497", "GSM1692498", "GSM1692499", "GSM1692501", "GSM1692502", "GSM1692503", "GSM1692504"], "sample_count": 802, "group_sizes": null, "group_sizes_basis": null, "platform": "13667", "taxon": "Homo sapiens", "title": "Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE57065 not downloaded", "asset:data:geo:GSE57065 licence not read", "asset:data:geo:GSE64457 not downloaded", "asset:data:geo:GSE64457 licence not read", "asset:data:geo:GSE65682 not downloaded", "asset:data:geo:GSE65682 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-2", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.7, "band": "medium", "quote": "ROC analysis"}}, {"id": "method-3", "family": null, "specific": null, "label": "Differentially expressed genes were identified using OmicShare online tools based on R, with the P-value corrected for false-positive results and genes having P<0.05 considered initial DEGs.", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "After logarithmic pretreatment of the original data, OmicShare online tools based on R (www.omicshare.com/tools) were used to identify the DEGs in the septic shock and control cases. The P-value was corrected for the occurrence of false-positive results, and the genes with a P-value <0.05 were considered as initial DEGs."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE64457", "GSE57065", "GSE65682"], "resolved_accessions": ["GSE64457", "GSE57065", "GSE65682"], "statements": ["Two good quality datasets associated with septic shock were downloaded from the Gene Expression Omnibus (GEO) database, GSE64457 and GSE57065. The gene expression profile data of GSE64457 included 15 cases of septic shock and eight healthy volunteers with data on whole blood-derived RNA samples."], "basis": "The paper names GSE64457, GSE57065, GSE65682 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "assets": ["source:pmid:31838482", "data:geo:GSE57065"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE57065"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:17:22Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 14888, "completion_tokens": 1425, "cached_tokens": 793}}, "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:31838482", "type": "paper", "label": "pmid:31838482"}, {"id": "source:pmid:31838482", "type": "manuscript", "label": "PMID 31838482 full text"}, {"id": "data:geo:GSE57065", "type": "dataset", "label": "GEO GSE57065"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:31838482", "type": "paper", "label": "pmid:31838482"}, {"id": "source:pmid:31838482", "type": "manuscript", "label": "PMID 31838482 full text"}, {"id": "data:geo:GSE57065", "type": "dataset", "label": "GEO GSE57065"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-31838482", "type": "extraction", "used": ["source:pmid:31838482"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE57065", "type": "accession_resolution", "used": ["data:geo:GSE57065"], "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:31838482", "parent_hash": "sha256:d7143c9818cb101d3c72d0390718162f576be39276c33f1375ffc2eebe82f535", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE57065 licence not read", "asset:data:geo:GSE57065 not downloaded", "asset:data:geo:GSE64457 licence not read", "asset:data:geo:GSE64457 not downloaded", "asset:data:geo:GSE65682 licence not read", "asset:data:geo:GSE65682 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["protein-protein interaction"], "order_basis": "analysis_only", "id": "assay:1"}]}