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

pmid:35047008

Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis.

Ronghua Yang · Zhengguang Wang · Jiehua Li · Xiaobing Pi · Xiaoxiang Wang · Yang Xu · Yan Shi · Sitong Zhou

Frontiers in genetics · 2021 doi:10.3389/fgene.2021.781589

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:35047008
kind
science-record
content_hash
sha256:ef5cdd811c449641a42f34384960b061c215082d7224ef8a6b52a216076dd6a4
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:36:46Z
updated_at
2026-11-01T22:05:37Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis.
doi
10.3389/fgene.2021.781589
pmid
35047008
authors array · 8 items
[0]
Ronghua Yang
[1]
Zhengguang Wang
[2]
Jiehua Li
[3]
Xiaobing Pi
[4]
Xiaoxiang Wang
[5]
Yang Xu
[6]
Yan Shi
[7]
Sitong Zhou
journal
Frontiers in genetics
year
2021
abstract
Background: Burn injury is a life-threatening disease that does not have ideal biomarkers. Therefore, this study first applied weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) screening methods to identify pivotal genes and diagnostic biomarkers associated with the skin burn process. Methods: After obtaining transcriptomic datasets of burn patient skin and normal skin from Gene Expression Omnibus (GEO) and performing differential analysis and functional enrichment, WGCNA was used to identify hub gene modules associated with burn skin processes in the burn patient peripheral blood sample dataset and determine the correlation between modules and clinical features. Enrichment analysis was performed to identify the functions and pathways of key module genes. Differential analysis, WGCNA, protein-protein interaction analysis, and enrichment analysis were utilized to screen for hub genes. Hub genes were validated in two other GEO datasets, tested by immunohistochemistry for hub gene expression in burn patients, and receiver operating characteristic curve analysis was performed. Finally, we constructed the specific drug activity, transcription factors, and microRNA regulatory network of the five hub genes. Results: A total of 1,373 DEGs in GSE8056 were obtained, and the top 5 upregulated genes were S100A12, CXCL8, CXCL5, MMP3, and MMP1, whereas the top 5 downregulated genes were SCGB1D2, SCGB2A2, DCD, TSPAN8, and KRT25. DEGs were significantly enriched in the immunity, epidermal development, and skin development processes. In WGCNA, the yellow module was identified as the most closely associated module with tissue damage during the burn process, and the five hub genes (ANXA3, MCEMP1, MMP9, S100A12, and TCN1) were identified as the key genes for burn injury status, which consistently showed high expression in burn patient blood samples in the GSE37069 and GSE13902 datasets. Furthermore, we verified using immunohistochemistry that these five novel hub genes were also significantly elevated in burn patient skin. In addition, MCEMP1, MMP9, and S100A12 showed perfect diagnostic performance in the receiver operating characteristic analysis. Conclusion: In conclusion, we analyzed the changes in genetic processes in the skin during burns and used them to identify five potential novel diagnostic markers in blood samples from burn patients, which are important for burn patient diagnosis. In particular, MCEMP1, MMP9, and S100A12 are three key blood biomarkers that can be used to identify skin damage in burn patients.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Weighted gene co-expression network analysis (WGCNA) (Langfelder and Horvath, 2008), a novel systems biology method, assists in the construction of free-scale gene co-expression networks and the detection of gene modules and hub genes.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35047008
locator
sections[1] "Introduction" paragraph 4
quote
Weighted gene co-expression network analysis (WGCNA) (Langfelder and Horvath, 2008), a novel systems biology method, assists in the construction of free-scale gene co-expression networks and the detection of gene modules and hub genes.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35047008
locator
sections[24] "Data Availability Statement" paragraph 2
quote
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05).
kind
quantitative
target object · 4 fields
value
0.05
unit
p-value
tolerance
null
source
We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05).
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:35047008
locator
sections[16] "WGCNA and Identification of Hub Genes" paragraph 2
quote
We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05).
[1] object · 3 fields
asset
source:pmid:35047008
locator
sections[16] "WGCNA and Identification of Hub Genes" paragraph 2
quote
Furthermore, 30 hub genes were selected in yellow co-expression modules with gene significance >0.8 and module membership >0.8.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05).
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:35047008
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:GSE123568
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:GSE123568
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 · 7 items
[0] object · 15 fields
id
source:pmid:35047008
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fgene.2021.781589
sha256
sha256:bc35dab1aa13c4433ce2a0bfa5077e891b0a3a2b144eddd049bc782a67c4d0e8
bytes
40649
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fgene.2021.781589
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
PMC8762241
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE123568
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=GSE123568
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE123568
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 40 items
[0]
GSM3507251
[1]
GSM3507252
[2]
GSM3507253
[3]
GSM3507254
[4]
GSM3507255
[5]
GSM3507256
[6]
GSM3507257
[7]
GSM3507258
[8]
GSM3507259
[9]
GSM3507260
[10]
GSM3507261
[11]
GSM3507262
[12]
GSM3507263
[13]
GSM3507264
[14]
GSM3507265
[15]
GSM3507266
[16]
GSM3507267
[17]
GSM3507268
[18]
GSM3507269
[19]
GSM3507270
[20]
GSM3507271
[21]
GSM3507272
[22]
GSM3507273
[23]
GSM3507274
[24]
GSM3507275
[25]
GSM3507276
[26]
GSM3507277
[27]
GSM3507278
[28]
GSM3507279
[29]
GSM3507280
[30]
GSM3507281
[31]
GSM3507282
[32]
GSM3507283
[33]
GSM3507284
[34]
GSM3507285
[35]
GSM3507286
[36]
GSM3507287
[37]
GSM3507288
[38]
GSM3507289
[39]
GSM3507290
sample_count
40
group_sizes
null
group_sizes_basis
null
platform
15207
taxon
Homo sapiens
title
Identification of Potential Biomarkers for Improving the Precision of Early Detection of Steroid-induced Osteonecrosis of the Femoral Head
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE13902
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=GSE13902
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE13902
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 2 items
[0]
GSM350095
[1]
GSM350102
sample_count
2
group_sizes
null
group_sizes_basis
null
platform
3154
taxon
Escherichia coli
title
BW25113 fhlA/pCA24N-FhlA133 vs fhlA/pCA24N-FhlA in modified-complex 20 mM formate at 37ºC
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:GSE139028
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=GSE139028
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE139028
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 9 items
[0]
GSM4127070
[1]
GSM4127071
[2]
GSM4127072
[3]
GSM4127073
[4]
GSM4127074
[5]
GSM4127075
[6]
GSM4127076
[7]
GSM4127077
[8]
GSM4127078
sample_count
9
group_sizes
null
group_sizes_basis
null
platform
15433
taxon
Homo sapiens
title
RNA-seq analysis on tissues derived from normal skin and burn eschar
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:GSE19743
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=GSE19743
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE19743
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 177 items
[0]
GSM493655
[1]
GSM493656
[2]
GSM493657
[3]
GSM493658
[4]
GSM493659
[5]
GSM493660
[6]
GSM493661
[7]
GSM493662
[8]
GSM493663
[9]
GSM493664
[10]
GSM493665
[11]
GSM493666
[12]
GSM493667
[13]
GSM493668
[14]
GSM493669
[15]
GSM493670
[16]
GSM493671
[17]
GSM493672
[18]
GSM493673
[19]
GSM493674
[20]
GSM493675
[21]
GSM493676
[22]
GSM493677
[23]
GSM493678
[24]
GSM493679
[25]
GSM493680
[26]
GSM493681
[27]
GSM493682
[28]
GSM493683
[29]
GSM493684
[30]
GSM493685
[31]
GSM493686
[32]
GSM493687
[33]
GSM493688
[34]
GSM493689
[35]
GSM493690
[36]
GSM493691
[37]
GSM493692
[38]
GSM493693
[39]
GSM493694
[40]
GSM493695
[41]
GSM493696
[42]
GSM493697
[43]
GSM493698
[44]
GSM493699
[45]
GSM493700
[46]
GSM493701
[47]
GSM493702
[48]
GSM493703
[49]
GSM493704
[50]
GSM493705
[51]
GSM493706
[52]
GSM493707
[53]
GSM493708
[54]
GSM493709
[55]
GSM493710
[56]
GSM493711
[57]
GSM493712
[58]
GSM493713
[59]
GSM493714
[60]
GSM493715
[61]
GSM493716
[62]
GSM493717
[63]
GSM493718
[64]
GSM493719
[65]
GSM493720
[66]
GSM493721
[67]
GSM493722
[68]
GSM493723
[69]
GSM493724
[70]
GSM493725
[71]
GSM493726
[72]
GSM493727
[73]
GSM493728
[74]
GSM493729
[75]
GSM493730
[76]
GSM493731
[77]
GSM493732
[78]
GSM493733
[79]
GSM493734
[80]
GSM493735
[81]
GSM493736
[82]
GSM493737
[83]
GSM493738
[84]
GSM493739
[85]
GSM493740
[86]
GSM493741
[87]
GSM493742
[88]
GSM493743
[89]
GSM493744
[90]
GSM493745
[91]
GSM493746
[92]
GSM493747
[93]
GSM493748
[94]
GSM493749
[95]
GSM493750
[96]
GSM493751
[97]
GSM493752
[98]
GSM493753
[99]
GSM493754
[100]
GSM493755
[101]
GSM493756
[102]
GSM493757
[103]
GSM493758
[104]
GSM493759
[105]
GSM493760
[106]
GSM493761
[107]
GSM493762
[108]
GSM493763
[109]
GSM493764
[110]
GSM493765
[111]
GSM493766
[112]
GSM493767
[113]
GSM493768
[114]
GSM493769
[115]
GSM493770
[116]
GSM493771
[117]
GSM493772
[118]
GSM493773
[119]
GSM493774
[120]
GSM493775
[121]
GSM493776
[122]
GSM493777
[123]
GSM493778
[124]
GSM493779
[125]
GSM493780
[126]
GSM493781
[127]
GSM493782
[128]
GSM493783
[129]
GSM493784
[130]
GSM493785
[131]
GSM493786
[132]
GSM493787
[133]
GSM493788
[134]
GSM493789
[135]
GSM493790
[136]
GSM493791
[137]
GSM493792
[138]
GSM493793
[139]
GSM493794
[140]
GSM493795
[141]
GSM493796
[142]
GSM493797
[143]
GSM493798
[144]
GSM493799
[145]
GSM493800
[146]
GSM493801
[147]
GSM493802
[148]
GSM493803
[149]
GSM493804
[150]
GSM493805
[151]
GSM493806
[152]
GSM493807
[153]
GSM493808
[154]
GSM493809
[155]
GSM493810
[156]
GSM493811
[157]
GSM493812
[158]
GSM493813
[159]
GSM493814
[160]
GSM493815
[161]
GSM493816
[162]
GSM493817
[163]
GSM493818
[164]
GSM493819
[165]
GSM493820
[166]
GSM493821
[167]
GSM493822
[168]
GSM493823
[169]
GSM493824
[170]
GSM493825
[171]
GSM493826
[172]
GSM493827
[173]
GSM493828
[174]
GSM493829
[175]
GSM493830
[176]
GSM493831
sample_count
177
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
A large-scale clinical study of gene expression response to severe burn injury
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE37069
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=GSE37069
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37069
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 590 items
[0]
GSM909644
[1]
GSM909645
[2]
GSM909646
[3]
GSM909647
[4]
GSM909648
[5]
GSM909649
[6]
GSM909650
[7]
GSM909651
[8]
GSM909652
[9]
GSM909653
[10]
GSM909654
[11]
GSM909655
[12]
GSM909656
[13]
GSM909657
[14]
GSM909658
[15]
GSM909659
[16]
GSM909660
[17]
GSM909661
[18]
GSM909662
[19]
GSM909663
[20]
GSM909664
[21]
GSM909665
[22]
GSM909666
[23]
GSM909667
[24]
GSM909668
[25]
GSM909669
[26]
GSM909670
[27]
GSM909671
[28]
GSM909672
[29]
GSM909673
[30]
GSM909674
[31]
GSM909675
[32]
GSM909676
[33]
GSM909677
[34]
GSM909678
[35]
GSM909679
[36]
GSM909680
[37]
GSM909681
[38]
GSM909682
[39]
GSM909683
[40]
GSM909684
[41]
GSM909685
[42]
GSM909686
[43]
GSM909687
[44]
GSM909688
[45]
GSM909689
[46]
GSM909690
[47]
GSM909691
[48]
GSM909692
[49]
GSM909693
[50]
GSM909694
[51]
GSM909695
[52]
GSM909696
[53]
GSM909697
[54]
GSM909698
[55]
GSM909699
[56]
GSM909700
[57]
GSM909701
[58]
GSM909702
[59]
GSM909703
[60]
GSM909704
[61]
GSM909705
[62]
GSM909706
[63]
GSM909707
[64]
GSM909708
[65]
GSM909709
[66]
GSM909710
[67]
GSM909711
[68]
GSM909712
[69]
GSM909713
[70]
GSM909714
[71]
GSM909715
[72]
GSM909716
[73]
GSM909717
[74]
GSM909718
[75]
GSM909719
[76]
GSM909720
[77]
GSM909721
[78]
GSM909722
[79]
GSM909723
[80]
GSM909724
[81]
GSM909725
[82]
GSM909726
[83]
GSM909727
[84]
GSM909728
[85]
GSM909729
[86]
GSM909730
[87]
GSM909731
[88]
GSM909732
[89]
GSM909733
[90]
GSM909734
[91]
GSM909735
[92]
GSM909736
[93]
GSM909737
[94]
GSM909738
[95]
GSM909739
[96]
GSM909740
[97]
GSM909741
[98]
GSM909742
[99]
GSM909743
[100]
GSM909744
[101]
GSM909745
[102]
GSM909746
[103]
GSM909747
[104]
GSM909748
[105]
GSM909749
[106]
GSM909750
[107]
GSM909751
[108]
GSM909752
[109]
GSM909753
[110]
GSM909754
[111]
GSM909755
[112]
GSM909756
[113]
GSM909757
[114]
GSM909758
[115]
GSM909759
[116]
GSM909760
[117]
GSM909761
[118]
GSM909762
[119]
GSM909763
[120]
GSM909764
[121]
GSM909765
[122]
GSM909766
[123]
GSM909767
[124]
GSM909768
[125]
GSM909769
[126]
GSM909770
[127]
GSM909771
[128]
GSM909772
[129]
GSM909773
[130]
GSM909774
[131]
GSM909775
[132]
GSM909776
[133]
GSM909777
[134]
GSM909778
[135]
GSM909779
[136]
GSM909780
[137]
GSM909781
[138]
GSM909782
[139]
GSM909783
[140]
GSM909784
[141]
GSM909785
[142]
GSM909786
[143]
GSM909787
[144]
GSM909788
[145]
GSM909789
[146]
GSM909790
[147]
GSM909791
[148]
GSM909792
[149]
GSM909793
[150]
GSM909794
[151]
GSM909795
[152]
GSM909796
[153]
GSM909797
[154]
GSM909798
[155]
GSM909799
[156]
GSM909800
[157]
GSM909801
[158]
GSM909802
[159]
GSM909803
[160]
GSM909804
[161]
GSM909805
[162]
GSM909806
[163]
GSM909807
[164]
GSM909808
[165]
GSM909809
[166]
GSM909810
[167]
GSM909811
[168]
GSM909812
[169]
GSM909813
[170]
GSM909814
[171]
GSM909815
[172]
GSM909816
[173]
GSM909817
[174]
GSM909818
[175]
GSM909819
[176]
GSM909820
[177]
GSM909821
[178]
GSM909822
[179]
GSM909823
[180]
GSM909824
[181]
GSM909825
[182]
GSM909826
[183]
GSM909827
[184]
GSM909828
[185]
GSM909829
[186]
GSM909830
[187]
GSM909831
[188]
GSM909832
[189]
GSM909833
[190]
GSM909834
[191]
GSM909835
[192]
GSM909836
[193]
GSM909837
[194]
GSM909838
[195]
GSM909839
[196]
GSM909840
[197]
GSM909841
[198]
GSM909842
[199]
GSM909843
[200]
GSM909844
[201]
GSM909845
[202]
GSM909846
[203]
GSM909847
[204]
GSM909848
[205]
GSM909849
[206]
GSM909850
[207]
GSM909851
[208]
GSM909852
[209]
GSM909853
[210]
GSM909854
[211]
GSM909855
[212]
GSM909856
[213]
GSM909857
[214]
GSM909858
[215]
GSM909859
[216]
GSM909860
[217]
GSM909861
[218]
GSM909862
[219]
GSM909863
[220]
GSM909864
[221]
GSM909865
[222]
GSM909866
[223]
GSM909867
[224]
GSM909868
[225]
GSM909869
[226]
GSM909870
[227]
GSM909871
[228]
GSM909872
[229]
GSM909873
[230]
GSM909874
[231]
GSM909875
[232]
GSM909876
[233]
GSM909877
[234]
GSM909878
[235]
GSM909879
[236]
GSM909880
[237]
GSM909881
[238]
GSM909882
[239]
GSM909883
[240]
GSM909884
[241]
GSM909885
[242]
GSM909886
[243]
GSM909887
[244]
GSM909888
[245]
GSM909889
[246]
GSM909890
[247]
GSM909891
[248]
GSM909892
[249]
GSM909893
[250]
GSM909894
[251]
GSM909895
[252]
GSM909896
[253]
GSM909897
[254]
GSM909898
[255]
GSM909899
[256]
GSM909900
[257]
GSM909901
[258]
GSM909902
[259]
GSM909903
[260]
GSM909904
[261]
GSM909905
[262]
GSM909906
[263]
GSM909907
[264]
GSM909908
[265]
GSM909909
[266]
GSM909910
[267]
GSM909911
[268]
GSM909912
[269]
GSM909913
[270]
GSM909914
[271]
GSM909915
[272]
GSM909916
[273]
GSM909917
[274]
GSM909918
[275]
GSM909919
[276]
GSM909920
[277]
GSM909921
[278]
GSM909922
[279]
GSM909923
[280]
GSM909924
[281]
GSM909925
[282]
GSM909926
[283]
GSM909927
[284]
GSM909928
[285]
GSM909929
[286]
GSM909930
[287]
GSM909931
[288]
GSM909932
[289]
GSM909933
[290]
GSM909934
[291]
GSM909935
[292]
GSM909936
[293]
GSM909937
[294]
GSM909938
[295]
GSM909939
[296]
GSM909940
[297]
GSM909941
[298]
GSM909942
[299]
GSM909943
[300]
GSM909944
[301]
GSM909945
[302]
GSM909946
[303]
GSM909947
[304]
GSM909948
[305]
GSM909949
[306]
GSM909950
[307]
GSM909951
[308]
GSM909952
[309]
GSM909953
[310]
GSM909954
[311]
GSM909955
[312]
GSM909956
[313]
GSM909957
[314]
GSM909958
[315]
GSM909959
[316]
GSM909960
[317]
GSM909961
[318]
GSM909962
[319]
GSM909963
[320]
GSM909964
[321]
GSM909965
[322]
GSM909966
[323]
GSM909967
[324]
GSM909968
[325]
GSM909969
[326]
GSM909970
[327]
GSM909971
[328]
GSM909972
[329]
GSM909973
[330]
GSM909974
[331]
GSM909975
[332]
GSM909976
[333]
GSM909977
[334]
GSM909978
[335]
GSM909979
[336]
GSM909980
[337]
GSM909981
[338]
GSM909982
[339]
GSM909983
[340]
GSM909984
[341]
GSM909985
[342]
GSM909986
[343]
GSM909987
[344]
GSM909988
[345]
GSM909989
[346]
GSM909990
[347]
GSM909991
[348]
GSM909992
[349]
GSM909993
[350]
GSM909994
[351]
GSM909995
[352]
GSM909996
[353]
GSM909997
[354]
GSM909998
[355]
GSM909999
[356]
GSM910000
[357]
GSM910001
[358]
GSM910002
[359]
GSM910003
[360]
GSM910004
[361]
GSM910005
[362]
GSM910006
[363]
GSM910007
[364]
GSM910008
[365]
GSM910009
[366]
GSM910010
[367]
GSM910011
[368]
GSM910012
[369]
GSM910013
[370]
GSM910014
[371]
GSM910015
[372]
GSM910016
[373]
GSM910017
[374]
GSM910018
[375]
GSM910019
[376]
GSM910020
[377]
GSM910021
[378]
GSM910022
[379]
GSM910023
[380]
GSM910024
[381]
GSM910025
[382]
GSM910026
[383]
GSM910027
[384]
GSM910028
[385]
GSM910029
[386]
GSM910030
[387]
GSM910031
[388]
GSM910032
[389]
GSM910033
[390]
GSM910034
[391]
GSM910035
[392]
GSM910036
[393]
GSM910037
[394]
GSM910038
[395]
GSM910039
[396]
GSM910040
[397]
GSM910041
[398]
GSM910042
[399]
GSM910043
[400]
GSM910044
[401]
GSM910045
[402]
GSM910046
[403]
GSM910047
[404]
GSM910048
[405]
GSM910049
[406]
GSM910050
[407]
GSM910051
[408]
GSM910052
[409]
GSM910053
[410]
GSM910054
[411]
GSM910055
[412]
GSM910056
[413]
GSM910057
[414]
GSM910058
[415]
GSM910059
[416]
GSM910060
[417]
GSM910061
[418]
GSM910062
[419]
GSM910063
[420]
GSM910064
[421]
GSM910065
[422]
GSM910066
[423]
GSM910067
[424]
GSM910068
[425]
GSM910069
[426]
GSM910070
[427]
GSM910071
[428]
GSM910072
[429]
GSM910073
[430]
GSM910074
[431]
GSM910075
[432]
GSM910076
[433]
GSM910077
[434]
GSM910078
[435]
GSM910079
[436]
GSM910080
[437]
GSM910081
[438]
GSM910082
[439]
GSM910083
[440]
GSM910084
[441]
GSM910085
[442]
GSM910086
[443]
GSM910087
[444]
GSM910088
[445]
GSM910089
[446]
GSM910090
[447]
GSM910091
[448]
GSM910092
[449]
GSM910093
[450]
GSM910094
[451]
GSM910095
[452]
GSM910096
[453]
GSM910097
[454]
GSM910098
[455]
GSM910099
[456]
GSM910100
[457]
GSM910101
[458]
GSM910102
[459]
GSM910103
[460]
GSM910104
[461]
GSM910105
[462]
GSM910106
[463]
GSM910107
[464]
GSM910108
[465]
GSM910109
[466]
GSM910110
[467]
GSM910111
[468]
GSM910112
[469]
GSM910113
[470]
GSM910114
[471]
GSM910115
[472]
GSM910116
[473]
GSM910117
[474]
GSM910118
[475]
GSM910119
[476]
GSM910120
[477]
GSM910121
[478]
GSM910122
[479]
GSM910123
[480]
GSM910124
[481]
GSM910125
[482]
GSM910126
[483]
GSM910127
[484]
GSM910128
[485]
GSM910129
[486]
GSM910130
[487]
GSM910131
[488]
GSM910132
[489]
GSM910133
[490]
GSM910134
[491]
GSM910135
[492]
GSM910136
[493]
GSM910137
[494]
GSM910138
[495]
GSM910139
[496]
GSM910140
[497]
GSM910141
[498]
GSM910142
[499]
GSM910143
[500]
GSM910144
[501]
GSM910145
[502]
GSM910146
[503]
GSM910147
[504]
GSM910148
[505]
GSM910149
[506]
GSM910150
[507]
GSM910151
[508]
GSM910152
[509]
GSM910153
[510]
GSM910154
[511]
GSM910155
[512]
GSM910156
[513]
GSM910157
[514]
GSM910158
[515]
GSM910159
[516]
GSM910160
[517]
GSM910161
[518]
GSM910162
[519]
GSM910163
[520]
GSM910164
[521]
GSM910165
[522]
GSM910166
[523]
GSM910167
[524]
GSM910168
[525]
GSM910169
[526]
GSM910170
[527]
GSM910171
[528]
GSM910172
[529]
GSM910173
[530]
GSM910174
[531]
GSM910175
[532]
GSM910176
[533]
GSM910177
[534]
GSM910178
[535]
GSM910179
[536]
GSM910180
[537]
GSM910181
[538]
GSM910182
[539]
GSM910183
[540]
GSM910184
[541]
GSM910185
[542]
GSM910186
[543]
GSM910187
[544]
GSM910188
[545]
GSM910189
[546]
GSM910190
[547]
GSM910191
[548]
GSM910192
[549]
GSM910193
[550]
GSM910194
[551]
GSM910195
[552]
GSM910196
[553]
GSM910197
[554]
GSM910198
[555]
GSM910199
[556]
GSM910200
[557]
GSM910201
[558]
GSM910202
[559]
GSM910203
[560]
GSM910204
[561]
GSM910205
[562]
GSM910206
[563]
GSM910207
[564]
GSM910208
[565]
GSM910209
[566]
GSM910210
[567]
GSM910211
[568]
GSM910212
[569]
GSM910213
[570]
GSM910214
[571]
GSM910215
[572]
GSM910216
[573]
GSM910217
[574]
GSM910218
[575]
GSM910219
[576]
GSM910220
[577]
GSM910221
[578]
GSM910222
[579]
GSM910223
[580]
GSM910224
[581]
GSM910225
[582]
GSM910226
[583]
GSM910227
[584]
GSM910228
[585]
GSM910229
[586]
GSM910230
[587]
GSM910231
[588]
GSM910232
[589]
GSM910233
sample_count
590
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene response to major burn injuries
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE8056
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=GSE8056
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE8056
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 12 items
[0]
GSM198866
[1]
GSM198867
[2]
GSM198868
[3]
GSM198869
[4]
GSM198870
[5]
GSM198871
[6]
GSM198872
[7]
GSM198873
[8]
GSM198874
[9]
GSM198875
[10]
GSM198876
[11]
GSM198877
sample_count
12
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene Expression Profiles in Thermally Injured Human Skin: A Temporal Microarray Analysis
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 12 items
[0]
asset:data:geo:GSE123568 not downloaded
[1]
asset:data:geo:GSE123568 licence not read
[2]
asset:data:geo:GSE13902 not downloaded
[3]
asset:data:geo:GSE13902 licence not read
[4]
asset:data:geo:GSE139028 not downloaded
[5]
asset:data:geo:GSE139028 licence not read
[6]
asset:data:geo:GSE19743 not downloaded
[7]
asset:data:geo:GSE19743 licence not read
[8]
asset:data:geo:GSE37069 not downloaded
[9]
asset:data:geo:GSE37069 licence not read
[10]
asset:data:geo:GSE8056 not downloaded
[11]
asset:data:geo:GSE8056 licence not read
analysis object · 4 fields
state
partial
methods array · 4 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
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
pathway enrichment
[2] object · 10 fields
id
method-3
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
0.8
band
high
quote
ROC Analysis
[3] object · 10 fields
id
method-4
family
null
specific
null
label
Weighted gene co-expression network analysis (WGCNA)
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
Weighted gene co-expression network analysis (WGCNA) (Langfelder and Horvath, 2008), a novel systems biology method, assists in the construction of free-scale gene co-expression networks and the detection of gene modules and hub genes.
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
build_graph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
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 · 6 items
[0]
GSE8056
[1]
GSE19743
[2]
GSE37069
[3]
GSE139028
[4]
GSE13902
[5]
GSE123568
resolved_accessions array · 6 items
[0]
GSE8056
[1]
GSE19743
[2]
GSE37069
[3]
GSE139028
[4]
GSE13902
[5]
GSE123568
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
basis
The paper names GSE8056, GSE19743, GSE37069, GSE139028, GSE13902, GSE123568 in NCBI 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:35047008
[1]
data:geo:GSE123568
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:GSE123568
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
2026-11-01T17:16:08Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11131
completion_tokens
2361
cached_tokens
0
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:35047008
type
paper
label
pmid:35047008
[1] object · 3 fields
id
source:pmid:35047008
type
manuscript
label
PMID 35047008 full text
[2] object · 3 fields
id
data:geo:GSE123568
type
dataset
label
GEO GSE123568
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:35047008
type
paper
label
pmid:35047008
[1] object · 3 fields
id
source:pmid:35047008
type
manuscript
label
PMID 35047008 full text
[2] object · 3 fields
id
data:geo:GSE123568
type
dataset
label
GEO GSE123568
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35047008
type
extraction
used array · 1 item
[0]
source:pmid:35047008
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE123568
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE123568
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:35047008
parent_hash
sha256:4195b9ac7f2a191ace4475771eaae4f4dc804081a80331065ab8aee3c4a671fe
fork_of
null
gaps array · 17 items
[0]
asset:data:geo:GSE123568 licence not read
[1]
asset:data:geo:GSE123568 not downloaded
[2]
asset:data:geo:GSE13902 licence not read
[3]
asset:data:geo:GSE13902 not downloaded
[4]
asset:data:geo:GSE139028 licence not read
[5]
asset:data:geo:GSE139028 not downloaded
[6]
asset:data:geo:GSE19743 licence not read
[7]
asset:data:geo:GSE19743 not downloaded
[8]
asset:data:geo:GSE37069 licence not read
[9]
asset:data:geo:GSE37069 not downloaded
[10]
asset:data:geo:GSE8056 licence not read
[11]
asset:data:geo:GSE8056 not downloaded
[12]
execution.not_run
[13]
method.reader_named_unmapped
[14]
review.human_critique
[15]
review.independent_reader
[16]
review.machine_critique
assays array · 3 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 · 4 items
[0]
lidated in two other GEO datasets, tested by immunohistochemistry for hub gene expression in burn patients, an
[1]
902 datasets. Furthermore, we verified using immunohistochemistry that these five novel hub genes were also si
[2]
e Collection of Patient Tissue Specimens and IHC Staining We collected 13 burn patient skin s
[3]
dded skin tissues were sectioned at 4 μm for IHC. Antigen retrieval was performed by incubati
order_basis
paper_text_order:1105
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
clinical_cohort
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
y five potential novel diagnostic markers in blood samples from burn patients, which are important for burn
order_basis
paper_text_order:2479
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
protein-protein interaction
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35047008", "kind": "science-record", "revision": 4, "content_hash": "sha256:ef5cdd811c449641a42f34384960b061c215082d7224ef8a6b52a216076dd6a4", "created_at": "2026-11-01T17:36:46Z", "updated_at": "2026-11-01T22:05:37Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis.", "doi": "10.3389/fgene.2021.781589", "pmid": "35047008", "authors": ["Ronghua Yang", "Zhengguang Wang", "Jiehua Li", "Xiaobing Pi", "Xiaoxiang Wang", "Yang Xu", "Yan Shi", "Sitong Zhou"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Background: Burn injury is a life-threatening disease that does not have ideal biomarkers. Therefore, this study first applied weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) screening methods to identify pivotal genes and diagnostic biomarkers associated with the skin burn process. Methods: After obtaining transcriptomic datasets of burn patient skin and normal skin from Gene Expression Omnibus (GEO) and performing differential analysis and functional enrichment, WGCNA was used to identify hub gene modules associated with burn skin processes in the burn patient peripheral blood sample dataset and determine the correlation between modules and clinical features. Enrichment analysis was performed to identify the functions and pathways of key module genes. Differential analysis, WGCNA, protein-protein interaction analysis, and enrichment analysis were utilized to screen for hub genes. Hub genes were validated in two other GEO datasets, tested by immunohistochemistry for hub gene expression in burn patients, and receiver operating characteristic curve analysis was performed. Finally, we constructed the specific drug activity, transcription factors, and microRNA regulatory network of the five hub genes. Results: A total of 1,373 DEGs in GSE8056 were obtained, and the top 5 upregulated genes were S100A12, CXCL8, CXCL5, MMP3, and MMP1, whereas the top 5 downregulated genes were SCGB1D2, SCGB2A2, DCD, TSPAN8, and KRT25. DEGs were significantly enriched in the immunity, epidermal development, and skin development processes. In WGCNA, the yellow module was identified as the most closely associated module with tissue damage during the burn process, and the five hub genes (ANXA3, MCEMP1, MMP9, S100A12, and TCN1) were identified as the key genes for burn injury status, which consistently showed high expression in burn patient blood samples in the GSE37069 and GSE13902 datasets. Furthermore, we verified using immunohistochemistry that these five novel hub genes were also significantly elevated in burn patient skin. In addition, MCEMP1, MMP9, and S100A12 showed perfect diagnostic performance in the receiver operating characteristic analysis. Conclusion: In conclusion, we analyzed the changes in genetic processes in the skin during burns and used them to identify five potential novel diagnostic markers in blood samples from burn patients, which are important for burn patient diagnosis. In particular, MCEMP1, MMP9, and S100A12 are three key blood biomarkers that can be used to identify skin damage in burn patients.", "claims": [{"id": "claim-method", "statement": "Weighted gene co-expression network analysis (WGCNA) (Langfelder and Horvath, 2008), a novel systems biology method, assists in the construction of free-scale gene co-expression networks and the detection of gene modules and hub genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35047008", "locator": "sections[1] \"Introduction\" paragraph 4", "quote": "Weighted gene co-expression network analysis (WGCNA) (Langfelder and Horvath, 2008), a novel systems biology method, assists in the construction of free-scale gene co-expression networks and the detection of gene modules and hub genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35047008", "locator": "sections[24] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05).", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05)."}, "evidence": [{"asset": "source:pmid:35047008", "locator": "sections[16] \"WGCNA and Identification of Hub Genes\" paragraph 2", "quote": "We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05)."}, {"asset": "source:pmid:35047008", "locator": "sections[16] \"WGCNA and Identification of Hub Genes\" paragraph 2", "quote": "Furthermore, 30 hub genes were selected in yellow co-expression modules with gene significance >0.8 and module membership >0.8."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We obtained 5 modules except for the gray module, in which the yellow consensus module was the most relevant module with burn traits (correlation value = 0.89; significance level p < 0.05).", "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:35047008"], "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:GSE123568"], "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:GSE123568"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35047008", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2021.781589", "sha256": "sha256:bc35dab1aa13c4433ce2a0bfa5077e891b0a3a2b144eddd049bc782a67c4d0e8", "bytes": 40649, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2021.781589", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8762241", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE123568", "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=GSE123568", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE123568", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3507251", "GSM3507252", "GSM3507253", "GSM3507254", "GSM3507255", "GSM3507256", "GSM3507257", "GSM3507258", "GSM3507259", "GSM3507260", "GSM3507261", "GSM3507262", "GSM3507263", "GSM3507264", "GSM3507265", "GSM3507266", "GSM3507267", "GSM3507268", "GSM3507269", "GSM3507270", "GSM3507271", "GSM3507272", "GSM3507273", "GSM3507274", "GSM3507275", "GSM3507276", "GSM3507277", "GSM3507278", "GSM3507279", "GSM3507280", "GSM3507281", "GSM3507282", "GSM3507283", "GSM3507284", "GSM3507285", "GSM3507286", "GSM3507287", "GSM3507288", "GSM3507289", "GSM3507290"], "sample_count": 40, "group_sizes": null, "group_sizes_basis": null, "platform": "15207", "taxon": "Homo sapiens", "title": "Identification of Potential Biomarkers for Improving the Precision of Early Detection of Steroid-induced Osteonecrosis of the Femoral Head", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE13902", "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=GSE13902", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE13902", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM350095", "GSM350102"], "sample_count": 2, "group_sizes": null, "group_sizes_basis": null, "platform": "3154", "taxon": "Escherichia coli", "title": "BW25113 fhlA/pCA24N-FhlA133 vs fhlA/pCA24N-FhlA in modified-complex 20 mM formate at 37ºC", "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:GSE139028", "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=GSE139028", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE139028", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4127070", "GSM4127071", "GSM4127072", "GSM4127073", "GSM4127074", "GSM4127075", "GSM4127076", "GSM4127077", "GSM4127078"], "sample_count": 9, "group_sizes": null, "group_sizes_basis": null, "platform": "15433", "taxon": "Homo sapiens", "title": "RNA-seq analysis on tissues derived from normal skin and burn eschar", "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:GSE19743", "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=GSE19743", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19743", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM493655", "GSM493656", "GSM493657", "GSM493658", "GSM493659", "GSM493660", "GSM493661", "GSM493662", "GSM493663", "GSM493664", "GSM493665", "GSM493666", "GSM493667", "GSM493668", "GSM493669", "GSM493670", "GSM493671", "GSM493672", "GSM493673", "GSM493674", "GSM493675", "GSM493676", "GSM493677", "GSM493678", "GSM493679", "GSM493680", "GSM493681", "GSM493682", "GSM493683", "GSM493684", "GSM493685", "GSM493686", "GSM493687", "GSM493688", "GSM493689", "GSM493690", "GSM493691", "GSM493692", "GSM493693", "GSM493694", "GSM493695", "GSM493696", "GSM493697", "GSM493698", "GSM493699", "GSM493700", "GSM493701", "GSM493702", "GSM493703", "GSM493704", "GSM493705", "GSM493706", "GSM493707", "GSM493708", "GSM493709", "GSM493710", "GSM493711", "GSM493712", "GSM493713", "GSM493714", "GSM493715", "GSM493716", "GSM493717", "GSM493718", "GSM493719", "GSM493720", "GSM493721", "GSM493722", "GSM493723", "GSM493724", "GSM493725", "GSM493726", "GSM493727", "GSM493728", "GSM493729", "GSM493730", "GSM493731", "GSM493732", "GSM493733", "GSM493734", "GSM493735", "GSM493736", "GSM493737", "GSM493738", "GSM493739", "GSM493740", "GSM493741", "GSM493742", "GSM493743", "GSM493744", "GSM493745", "GSM493746", "GSM493747", "GSM493748", "GSM493749", "GSM493750", "GSM493751", "GSM493752", "GSM493753", "GSM493754", "GSM493755", "GSM493756", "GSM493757", "GSM493758", "GSM493759", "GSM493760", "GSM493761", "GSM493762", "GSM493763", "GSM493764", "GSM493765", "GSM493766", "GSM493767", "GSM493768", "GSM493769", "GSM493770", "GSM493771", "GSM493772", "GSM493773", "GSM493774", "GSM493775", "GSM493776", "GSM493777", "GSM493778", "GSM493779", "GSM493780", "GSM493781", "GSM493782", "GSM493783", "GSM493784", "GSM493785", "GSM493786", "GSM493787", "GSM493788", "GSM493789", "GSM493790", "GSM493791", "GSM493792", "GSM493793", "GSM493794", "GSM493795", "GSM493796", "GSM493797", "GSM493798", "GSM493799", "GSM493800", "GSM493801", "GSM493802", "GSM493803", "GSM493804", "GSM493805", "GSM493806", "GSM493807", "GSM493808", "GSM493809", "GSM493810", "GSM493811", "GSM493812", "GSM493813", "GSM493814", "GSM493815", "GSM493816", "GSM493817", "GSM493818", "GSM493819", "GSM493820", "GSM493821", "GSM493822", "GSM493823", "GSM493824", "GSM493825", "GSM493826", "GSM493827", "GSM493828", "GSM493829", "GSM493830", "GSM493831"], "sample_count": 177, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "A large-scale clinical study of gene expression response to severe burn injury", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE37069", "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=GSE37069", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE37069", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM909644", "GSM909645", "GSM909646", "GSM909647", "GSM909648", "GSM909649", "GSM909650", "GSM909651", "GSM909652", "GSM909653", "GSM909654", "GSM909655", "GSM909656", "GSM909657", "GSM909658", "GSM909659", "GSM909660", "GSM909661", "GSM909662", "GSM909663", "GSM909664", "GSM909665", "GSM909666", "GSM909667", "GSM909668", "GSM909669", "GSM909670", "GSM909671", "GSM909672", "GSM909673", "GSM909674", "GSM909675", "GSM909676", "GSM909677", "GSM909678", "GSM909679", "GSM909680", "GSM909681", "GSM909682", "GSM909683", "GSM909684", "GSM909685", "GSM909686", "GSM909687", "GSM909688", "GSM909689", "GSM909690", "GSM909691", "GSM909692", "GSM909693", "GSM909694", "GSM909695", "GSM909696", "GSM909697", "GSM909698", "GSM909699", "GSM909700", "GSM909701", "GSM909702", "GSM909703", "GSM909704", "GSM909705", "GSM909706", "GSM909707", "GSM909708", "GSM909709", "GSM909710", "GSM909711", "GSM909712", "GSM909713", "GSM909714", "GSM909715", "GSM909716", "GSM909717", "GSM909718", "GSM909719", "GSM909720", "GSM909721", "GSM909722", "GSM909723", "GSM909724", "GSM909725", "GSM909726", "GSM909727", "GSM909728", "GSM909729", "GSM909730", "GSM909731", "GSM909732", "GSM909733", "GSM909734", "GSM909735", "GSM909736", "GSM909737", "GSM909738", "GSM909739", "GSM909740", "GSM909741", "GSM909742", "GSM909743", "GSM909744", "GSM909745", "GSM909746", "GSM909747", "GSM909748", "GSM909749", "GSM909750", "GSM909751", "GSM909752", "GSM909753", "GSM909754", "GSM909755", "GSM909756", "GSM909757", "GSM909758", "GSM909759", "GSM909760", "GSM909761", "GSM909762", "GSM909763", "GSM909764", "GSM909765", "GSM909766", "GSM909767", "GSM909768", "GSM909769", "GSM909770", "GSM909771", "GSM909772", "GSM909773", "GSM909774", "GSM909775", "GSM909776", "GSM909777", "GSM909778", "GSM909779", "GSM909780", "GSM909781", "GSM909782", "GSM909783", "GSM909784", "GSM909785", "GSM909786", "GSM909787", "GSM909788", "GSM909789", "GSM909790", "GSM909791", "GSM909792", "GSM909793", "GSM909794", "GSM909795", "GSM909796", "GSM909797", "GSM909798", "GSM909799", "GSM909800", "GSM909801", "GSM909802", "GSM909803", "GSM909804", "GSM909805", "GSM909806", "GSM909807", "GSM909808", "GSM909809", "GSM909810", "GSM909811", "GSM909812", "GSM909813", "GSM909814", "GSM909815", "GSM909816", "GSM909817", "GSM909818", "GSM909819", "GSM909820", "GSM909821", "GSM909822", "GSM909823", "GSM909824", "GSM909825", "GSM909826", "GSM909827", "GSM909828", "GSM909829", "GSM909830", "GSM909831", "GSM909832", "GSM909833", "GSM909834", "GSM909835", "GSM909836", "GSM909837", "GSM909838", "GSM909839", "GSM909840", "GSM909841", "GSM909842", "GSM909843", "GSM909844", "GSM909845", "GSM909846", "GSM909847", "GSM909848", "GSM909849", "GSM909850", "GSM909851", "GSM909852", "GSM909853", "GSM909854", "GSM909855", "GSM909856", "GSM909857", "GSM909858", "GSM909859", "GSM909860", "GSM909861", "GSM909862", "GSM909863", "GSM909864", "GSM909865", "GSM909866", "GSM909867", "GSM909868", "GSM909869", "GSM909870", "GSM909871", "GSM909872", "GSM909873", "GSM909874", "GSM909875", "GSM909876", "GSM909877", "GSM909878", "GSM909879", "GSM909880", "GSM909881", "GSM909882", "GSM909883", "GSM909884", "GSM909885", "GSM909886", "GSM909887", "GSM909888", "GSM909889", "GSM909890", "GSM909891", "GSM909892", "GSM909893", "GSM909894", "GSM909895", "GSM909896", "GSM909897", "GSM909898", "GSM909899", "GSM909900", "GSM909901", "GSM909902", "GSM909903", "GSM909904", "GSM909905", "GSM909906", "GSM909907", "GSM909908", "GSM909909", "GSM909910", "GSM909911", "GSM909912", "GSM909913", "GSM909914", "GSM909915", "GSM909916", "GSM909917", "GSM909918", "GSM909919", "GSM909920", "GSM909921", "GSM909922", "GSM909923", "GSM909924", "GSM909925", "GSM909926", "GSM909927", "GSM909928", "GSM909929", "GSM909930", "GSM909931", "GSM909932", "GSM909933", "GSM909934", "GSM909935", "GSM909936", "GSM909937", "GSM909938", "GSM909939", "GSM909940", "GSM909941", "GSM909942", "GSM909943", "GSM909944", "GSM909945", "GSM909946", "GSM909947", "GSM909948", "GSM909949", "GSM909950", "GSM909951", "GSM909952", "GSM909953", "GSM909954", "GSM909955", "GSM909956", "GSM909957", "GSM909958", "GSM909959", "GSM909960", "GSM909961", "GSM909962", "GSM909963", "GSM909964", "GSM909965", "GSM909966", "GSM909967", "GSM909968", "GSM909969", "GSM909970", "GSM909971", "GSM909972", "GSM909973", "GSM909974", "GSM909975", "GSM909976", "GSM909977", "GSM909978", "GSM909979", "GSM909980", "GSM909981", "GSM909982", "GSM909983", "GSM909984", "GSM909985", "GSM909986", "GSM909987", "GSM909988", "GSM909989", "GSM909990", "GSM909991", "GSM909992", "GSM909993", "GSM909994", "GSM909995", "GSM909996", "GSM909997", "GSM909998", "GSM909999", "GSM910000", "GSM910001", "GSM910002", "GSM910003", "GSM910004", "GSM910005", "GSM910006", "GSM910007", "GSM910008", "GSM910009", "GSM910010", "GSM910011", "GSM910012", "GSM910013", "GSM910014", "GSM910015", "GSM910016", "GSM910017", "GSM910018", "GSM910019", "GSM910020", "GSM910021", "GSM910022", "GSM910023", "GSM910024", "GSM910025", "GSM910026", "GSM910027", "GSM910028", "GSM910029", "GSM910030", "GSM910031", "GSM910032", "GSM910033", "GSM910034", "GSM910035", "GSM910036", "GSM910037", "GSM910038", "GSM910039", "GSM910040", "GSM910041", "GSM910042", "GSM910043", "GSM910044", "GSM910045", "GSM910046", "GSM910047", "GSM910048", "GSM910049", "GSM910050", "GSM910051", "GSM910052", "GSM910053", "GSM910054", "GSM910055", "GSM910056", "GSM910057", "GSM910058", "GSM910059", "GSM910060", "GSM910061", "GSM910062", "GSM910063", "GSM910064", "GSM910065", "GSM910066", "GSM910067", "GSM910068", "GSM910069", "GSM910070", "GSM910071", "GSM910072", "GSM910073", "GSM910074", "GSM910075", "GSM910076", "GSM910077", "GSM910078", "GSM910079", "GSM910080", "GSM910081", "GSM910082", "GSM910083", "GSM910084", "GSM910085", "GSM910086", "GSM910087", "GSM910088", "GSM910089", "GSM910090", "GSM910091", "GSM910092", "GSM910093", "GSM910094", "GSM910095", "GSM910096", "GSM910097", "GSM910098", "GSM910099", "GSM910100", "GSM910101", "GSM910102", "GSM910103", "GSM910104", "GSM910105", "GSM910106", "GSM910107", "GSM910108", "GSM910109", "GSM910110", "GSM910111", "GSM910112", "GSM910113", "GSM910114", "GSM910115", "GSM910116", "GSM910117", "GSM910118", "GSM910119", "GSM910120", "GSM910121", "GSM910122", "GSM910123", "GSM910124", "GSM910125", "GSM910126", "GSM910127", "GSM910128", "GSM910129", "GSM910130", "GSM910131", "GSM910132", "GSM910133", "GSM910134", "GSM910135", "GSM910136", "GSM910137", "GSM910138", "GSM910139", "GSM910140", "GSM910141", "GSM910142", "GSM910143", "GSM910144", "GSM910145", "GSM910146", "GSM910147", "GSM910148", "GSM910149", "GSM910150", "GSM910151", "GSM910152", "GSM910153", "GSM910154", "GSM910155", "GSM910156", "GSM910157", "GSM910158", "GSM910159", "GSM910160", "GSM910161", "GSM910162", "GSM910163", "GSM910164", "GSM910165", "GSM910166", "GSM910167", "GSM910168", "GSM910169", "GSM910170", "GSM910171", "GSM910172", "GSM910173", "GSM910174", "GSM910175", "GSM910176", "GSM910177", "GSM910178", "GSM910179", "GSM910180", "GSM910181", "GSM910182", "GSM910183", "GSM910184", "GSM910185", "GSM910186", "GSM910187", "GSM910188", "GSM910189", "GSM910190", "GSM910191", "GSM910192", "GSM910193", "GSM910194", "GSM910195", "GSM910196", "GSM910197", "GSM910198", "GSM910199", "GSM910200", "GSM910201", "GSM910202", "GSM910203", "GSM910204", "GSM910205", "GSM910206", "GSM910207", "GSM910208", "GSM910209", "GSM910210", "GSM910211", "GSM910212", "GSM910213", "GSM910214", "GSM910215", "GSM910216", "GSM910217", "GSM910218", "GSM910219", "GSM910220", "GSM910221", "GSM910222", "GSM910223", "GSM910224", "GSM910225", "GSM910226", "GSM910227", "GSM910228", "GSM910229", "GSM910230", "GSM910231", "GSM910232", "GSM910233"], "sample_count": 590, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene response to major burn injuries", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE8056", "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=GSE8056", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE8056", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM198866", "GSM198867", "GSM198868", "GSM198869", "GSM198870", "GSM198871", "GSM198872", "GSM198873", "GSM198874", "GSM198875", "GSM198876", "GSM198877"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene Expression Profiles in Thermally Injured Human Skin: A Temporal Microarray Analysis", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE123568 not downloaded", "asset:data:geo:GSE123568 licence not read", "asset:data:geo:GSE13902 not downloaded", "asset:data:geo:GSE13902 licence not read", "asset:data:geo:GSE139028 not downloaded", "asset:data:geo:GSE139028 licence not read", "asset:data:geo:GSE19743 not downloaded", "asset:data:geo:GSE19743 licence not read", "asset:data:geo:GSE37069 not downloaded", "asset:data:geo:GSE37069 licence not read", "asset:data:geo:GSE8056 not downloaded", "asset:data:geo:GSE8056 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": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}, {"id": "method-3", "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": 0.8, "band": "high", "quote": "ROC Analysis"}}, {"id": "method-4", "family": null, "specific": null, "label": "Weighted gene co-expression network analysis (WGCNA)", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Weighted gene co-expression network analysis (WGCNA) (Langfelder and Horvath, 2008), a novel systems biology method, assists in the construction of free-scale gene co-expression networks and the detection of gene modules and hub genes."}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "build_graph", "expected_value": 0.05, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "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": ["GSE8056", "GSE19743", "GSE37069", "GSE139028", "GSE13902", "GSE123568"], "resolved_accessions": ["GSE8056", "GSE19743", "GSE37069", "GSE139028", "GSE13902", "GSE123568"], "statements": ["The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors."], "basis": "The paper names GSE8056, GSE19743, GSE37069, GSE139028, GSE13902, GSE123568 in NCBI 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:35047008", "data:geo:GSE123568"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE123568"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:16:08Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11131, "completion_tokens": 2361, "cached_tokens": 0}}, "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:35047008", "type": "paper", "label": "pmid:35047008"}, {"id": "source:pmid:35047008", "type": "manuscript", "label": "PMID 35047008 full text"}, {"id": "data:geo:GSE123568", "type": "dataset", "label": "GEO GSE123568"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35047008", "type": "paper", "label": "pmid:35047008"}, {"id": "source:pmid:35047008", "type": "manuscript", "label": "PMID 35047008 full text"}, {"id": "data:geo:GSE123568", "type": "dataset", "label": "GEO GSE123568"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35047008", "type": "extraction", "used": ["source:pmid:35047008"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE123568", "type": "accession_resolution", "used": ["data:geo:GSE123568"], "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:35047008", "parent_hash": "sha256:4195b9ac7f2a191ace4475771eaae4f4dc804081a80331065ab8aee3c4a671fe", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE123568 licence not read", "asset:data:geo:GSE123568 not downloaded", "asset:data:geo:GSE13902 licence not read", "asset:data:geo:GSE13902 not downloaded", "asset:data:geo:GSE139028 licence not read", "asset:data:geo:GSE139028 not downloaded", "asset:data:geo:GSE19743 licence not read", "asset:data:geo:GSE19743 not downloaded", "asset:data:geo:GSE37069 licence not read", "asset:data:geo:GSE37069 not downloaded", "asset:data:geo:GSE8056 licence not read", "asset:data:geo:GSE8056 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["lidated in two other GEO datasets, tested by immunohistochemistry for hub gene expression in burn patients, an", "902 datasets. Furthermore, we verified using immunohistochemistry that these five novel hub genes were also si", "e Collection of Patient Tissue Specimens and IHC Staining We collected 13 burn patient skin s", "dded skin tissues were sectioned at 4 μm for IHC. Antigen retrieval was performed by incubati"], "order_basis": "paper_text_order:1105", "id": "assay:1"}, {"role": "data_generation", "definition_id": "clinical_cohort", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["y five potential novel diagnostic markers in blood samples from burn patients, which are important for burn"], "order_basis": "paper_text_order:2479", "id": "assay:2"}, {"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": "consumes_earlier_output", "id": "assay:3"}]}