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

pmid:39806779

Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm.

Jinxu Huang · Yaqing Huang · Xiaoling Zeng · Yuhong Zhang · Junneng Zhang · Qingchu Hong · Yongtiao Peng

Renal failure · 2025 doi:10.1080/0886022X.2024.2438859

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:39806779
kind
science-record
content_hash
sha256:284898e367d0d5640677c744f58bc59fc3b33bf30f50666b149b09be316e8863
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:30:07Z
updated_at
2026-11-01T22:56:00Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm.
doi
10.1080/0886022X.2024.2438859
pmid
39806779
authors array · 7 items
[0]
Jinxu Huang
[1]
Yaqing Huang
[2]
Xiaoling Zeng
[3]
Yuhong Zhang
[4]
Junneng Zhang
[5]
Qingchu Hong
[6]
Yongtiao Peng
journal
Renal failure
year
2025
abstract
Adult nephrotic syndrome is primarily caused by membranous nephropathy (MN), with idiopathic membranous nephropathy (IMN) being a prominent subtype. The onset of phospholipase A2 receptor (PLA2R1)-associated IMN is critically linked to M-type PLA2R1 exposure, yet the mechanism underlying glomerular injury remains unclear. In this study, membranous nephropathy datasets (GSE115857, GSE200828) were retrieved from GEO. Differential gene expression was analyzed using the 'limma' R package. WGCNA filtered PLA2R-related modules and intersected genes. LASSO regression, evaluated by ROC analysis, identified characteristic genes. Binomial logistic regression assessed their association with IMN. Validation was performed in the GSE133288 dataset. IHC and qRT-PCR detected characteristic gene expression in PLA2R-positive patients. This study identified elevated PLA2R expression in IMN patients among 117 DEGs. PPI analysis suggested enrichment in Golgi membranes, co-regulation, and glucocorticoid responsiveness, implicating the PPAR pathway by KEGG. WGCNA revealed a 440-gene brown module associated with IMN-PLA2R, with ECM1, SLC19A2, RASD1, FOSB, KDELR3, ZFP36, and ELF4 highlighted as diagnostic markers by ROC analysis. Clinical validation confirmed ECM1 upregulation increased IMN risk, while upregulation of SLC19A2, ZFP36, RASD1, and FOSB decreased it. ECM1 positively correlated with PLA2R, whereas SLC19A2, ZFP36, and FOSB negatively correlated. IHC analysis demonstrated consistent gene expression patterns in IMN tissues, with podocyte exposure to PLA2R-positive serum reducing viability and increasing apoptosis. Functional studies, prompted by RASD1 downregulation, revealed enhanced cell activity and reduced apoptosis upon RASD1 overexpression compared to the Serum + Ov-NC control. Collectively, this study identified diagnostic markers for PLA2R-related IMN, offering novel therapeutic targets for the treatment of IMN.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39806779
locator
sections[1] "Introduction" paragraph 4
quote
Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39806779
locator
sections[3] "Data download and processing" paragraph 2
quote
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
This study identified diagnostic markers for PLA2R-related IMN, offering novel therapeutic targets for the treatment of IMN.
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:39806779
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:GSE115857
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:GSE115857
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 · 4 items
[0] object · 15 fields
id
source:pmid:39806779
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1080/0886022X.2024.2438859
sha256
sha256:8f8ff35192eec3f6113af90a4a4b8cf2936fd6f88eb5e0f4d7fc20c2d5df5dda
bytes
38992
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1080/0886022X.2024.2438859
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
PMC11734395
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE115857
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=GSE115857
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE115857
version
null
note
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
access_statement_kind
repository_route_statement
sample_accessions array · 86 items
[0]
GSM3191893
[1]
GSM3191894
[2]
GSM3191895
[3]
GSM3191896
[4]
GSM3191897
[5]
GSM3191898
[6]
GSM3191899
[7]
GSM3191900
[8]
GSM3191901
[9]
GSM3191902
[10]
GSM3191903
[11]
GSM3191904
[12]
GSM3191905
[13]
GSM3191906
[14]
GSM3191907
[15]
GSM3191908
[16]
GSM3191909
[17]
GSM3191910
[18]
GSM3191911
[19]
GSM3191912
[20]
GSM3191913
[21]
GSM3191914
[22]
GSM3191915
[23]
GSM3191916
[24]
GSM3191917
[25]
GSM3191918
[26]
GSM3191919
[27]
GSM3191920
[28]
GSM3191921
[29]
GSM3191922
[30]
GSM3191923
[31]
GSM3191924
[32]
GSM3191925
[33]
GSM3191926
[34]
GSM3191927
[35]
GSM3191928
[36]
GSM3191929
[37]
GSM3191930
[38]
GSM3191931
[39]
GSM3191932
[40]
GSM3191933
[41]
GSM3191934
[42]
GSM3191935
[43]
GSM3191936
[44]
GSM3191937
[45]
GSM3191938
[46]
GSM3191939
[47]
GSM3191940
[48]
GSM3191941
[49]
GSM3191942
[50]
GSM3191943
[51]
GSM3191944
[52]
GSM3191945
[53]
GSM3191946
[54]
GSM3191947
[55]
GSM3191948
[56]
GSM3191949
[57]
GSM3191950
[58]
GSM3191951
[59]
GSM3191952
[60]
GSM3191953
[61]
GSM3191954
[62]
GSM3191955
[63]
GSM3191956
[64]
GSM3191957
[65]
GSM3191958
[66]
GSM3191959
[67]
GSM3191960
[68]
GSM3191961
[69]
GSM3191962
[70]
GSM3191963
[71]
GSM3191964
[72]
GSM3191965
[73]
GSM3191966
[74]
GSM3191967
[75]
GSM3191968
[76]
GSM3191969
[77]
GSM3191970
[78]
GSM3191971
[79]
GSM3191972
[80]
GSM3191973
[81]
GSM3191974
[82]
GSM3191975
[83]
GSM3191976
[84]
GSM3191977
[85]
GSM3191978
sample_count
86
group_sizes
null
group_sizes_basis
null
platform
14951
taxon
Homo sapiens
title
SPECIFIC BIOMARKERS ASSOCIATED WITH CHRONIC RENAL LESIONS IN IGA NEPHROPATHY PATIENTS. A MULTICENTER STUDY
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE133288
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=GSE133288
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE133288
version
null
note
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
access_statement_kind
repository_route_statement
sample_accessions array · 244 items
[0]
GSM3904876
[1]
GSM3904877
[2]
GSM3904878
[3]
GSM3904879
[4]
GSM3904880
[5]
GSM3904881
[6]
GSM3904882
[7]
GSM3904883
[8]
GSM3904884
[9]
GSM3904885
[10]
GSM3904886
[11]
GSM3904887
[12]
GSM3904888
[13]
GSM3904889
[14]
GSM3904890
[15]
GSM3904891
[16]
GSM3904892
[17]
GSM3904893
[18]
GSM3904894
[19]
GSM3904895
[20]
GSM3904896
[21]
GSM3904897
[22]
GSM3904898
[23]
GSM3904899
[24]
GSM3904900
[25]
GSM3904901
[26]
GSM3904902
[27]
GSM3904903
[28]
GSM3904904
[29]
GSM3904905
[30]
GSM3904906
[31]
GSM3904907
[32]
GSM3904908
[33]
GSM3904909
[34]
GSM3904910
[35]
GSM3904911
[36]
GSM3904912
[37]
GSM3904913
[38]
GSM3904914
[39]
GSM3904915
[40]
GSM3904916
[41]
GSM3904917
[42]
GSM3904918
[43]
GSM3904919
[44]
GSM3904920
[45]
GSM3904921
[46]
GSM3904922
[47]
GSM3904923
[48]
GSM3904924
[49]
GSM3904925
[50]
GSM3904926
[51]
GSM3904927
[52]
GSM3904928
[53]
GSM3904929
[54]
GSM3904930
[55]
GSM3904931
[56]
GSM3904932
[57]
GSM3904933
[58]
GSM3904934
[59]
GSM3904935
[60]
GSM3904936
[61]
GSM3904937
[62]
GSM3904938
[63]
GSM3904939
[64]
GSM3904940
[65]
GSM3904941
[66]
GSM3904942
[67]
GSM3904943
[68]
GSM3904944
[69]
GSM3904945
[70]
GSM3904946
[71]
GSM3904947
[72]
GSM3904948
[73]
GSM3904949
[74]
GSM3904950
[75]
GSM3904951
[76]
GSM3904952
[77]
GSM3904953
[78]
GSM3904954
[79]
GSM3904955
[80]
GSM3904956
[81]
GSM3904957
[82]
GSM3904958
[83]
GSM3904959
[84]
GSM3904960
[85]
GSM3904961
[86]
GSM3904962
[87]
GSM3904963
[88]
GSM3904964
[89]
GSM3904965
[90]
GSM3904966
[91]
GSM3904967
[92]
GSM3904968
[93]
GSM3904969
[94]
GSM3904970
[95]
GSM3904971
[96]
GSM3904972
[97]
GSM3904973
[98]
GSM3904974
[99]
GSM3904975
[100]
GSM3904976
[101]
GSM3904977
[102]
GSM3904978
[103]
GSM3904979
[104]
GSM3904980
[105]
GSM3904981
[106]
GSM3904982
[107]
GSM3904983
[108]
GSM3904984
[109]
GSM3904985
[110]
GSM3904986
[111]
GSM3904987
[112]
GSM3904988
[113]
GSM3904989
[114]
GSM3904990
[115]
GSM3904991
[116]
GSM3904992
[117]
GSM3904993
[118]
GSM3904994
[119]
GSM3904995
[120]
GSM3904996
[121]
GSM3904997
[122]
GSM3904998
[123]
GSM3904999
[124]
GSM3905000
[125]
GSM3905001
[126]
GSM3905002
[127]
GSM3905003
[128]
GSM3905004
[129]
GSM3905005
[130]
GSM3905006
[131]
GSM3905007
[132]
GSM3905008
[133]
GSM3905009
[134]
GSM3905010
[135]
GSM3905011
[136]
GSM3905012
[137]
GSM3905013
[138]
GSM3905014
[139]
GSM3905015
[140]
GSM3905016
[141]
GSM3905017
[142]
GSM3905018
[143]
GSM3905019
[144]
GSM3905020
[145]
GSM3905021
[146]
GSM3905022
[147]
GSM3905023
[148]
GSM3905024
[149]
GSM3905025
[150]
GSM3905026
[151]
GSM3905027
[152]
GSM3905028
[153]
GSM3905029
[154]
GSM3905030
[155]
GSM3905031
[156]
GSM3905032
[157]
GSM3905033
[158]
GSM3905034
[159]
GSM3905035
[160]
GSM3905036
[161]
GSM3905037
[162]
GSM3905038
[163]
GSM3905039
[164]
GSM3905040
[165]
GSM3905041
[166]
GSM3905042
[167]
GSM3905043
[168]
GSM3905044
[169]
GSM3905045
[170]
GSM3905046
[171]
GSM3905047
[172]
GSM3905048
[173]
GSM3905049
[174]
GSM3905050
[175]
GSM3905051
[176]
GSM3905052
[177]
GSM3905053
[178]
GSM3905054
[179]
GSM3905055
[180]
GSM3905056
[181]
GSM3905057
[182]
GSM3905058
[183]
GSM3905059
[184]
GSM3905060
[185]
GSM3905061
[186]
GSM3905062
[187]
GSM3905063
[188]
GSM3905064
[189]
GSM3905065
[190]
GSM3905066
[191]
GSM3905067
[192]
GSM3905068
[193]
GSM3905069
[194]
GSM3905070
[195]
GSM3905071
[196]
GSM3905072
[197]
GSM3905073
[198]
GSM3905074
[199]
GSM3905075
[200]
GSM3905076
[201]
GSM3905077
[202]
GSM3905078
[203]
GSM3905079
[204]
GSM3905080
[205]
GSM3905081
[206]
GSM3905082
[207]
GSM3905083
[208]
GSM3905084
[209]
GSM3905085
[210]
GSM3905086
[211]
GSM3905087
[212]
GSM3905088
[213]
GSM3905089
[214]
GSM3905090
[215]
GSM3905091
[216]
GSM3905092
[217]
GSM3905093
[218]
GSM3905094
[219]
GSM3905095
[220]
GSM3905096
[221]
GSM3905097
[222]
GSM3905098
[223]
GSM3905099
[224]
GSM3905100
[225]
GSM3905101
[226]
GSM3905102
[227]
GSM3905103
[228]
GSM3905104
[229]
GSM3905105
[230]
GSM3905106
[231]
GSM3905107
[232]
GSM3905108
[233]
GSM3905109
[234]
GSM3905110
[235]
GSM3905111
[236]
GSM3905112
[237]
GSM3905113
[238]
GSM3905114
[239]
GSM3905115
[240]
GSM3905116
[241]
GSM3905117
[242]
GSM3905118
[243]
GSM3905119
sample_count
244
group_sizes
null
group_sizes_basis
null
platform
19983
taxon
Homo sapiens
title
Tubulointerstitial transcriptome data in the Neptune Cohort
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:GSE200828
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=GSE200828
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE200828
version
null
note
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
access_statement_kind
repository_route_statement
sample_accessions array · 153 items
[0]
GSM6044560
[1]
GSM6044561
[2]
GSM6044562
[3]
GSM6044563
[4]
GSM6044564
[5]
GSM6044565
[6]
GSM6044566
[7]
GSM6044567
[8]
GSM6044568
[9]
GSM6044569
[10]
GSM6044570
[11]
GSM6044571
[12]
GSM6044572
[13]
GSM6044573
[14]
GSM6044574
[15]
GSM6044575
[16]
GSM6044576
[17]
GSM6044577
[18]
GSM6044578
[19]
GSM6044579
[20]
GSM6044580
[21]
GSM6044581
[22]
GSM6044582
[23]
GSM6044583
[24]
GSM6044584
[25]
GSM6044585
[26]
GSM6044586
[27]
GSM6044587
[28]
GSM6044588
[29]
GSM6044589
[30]
GSM6044590
[31]
GSM6044591
[32]
GSM6044592
[33]
GSM6044593
[34]
GSM6044594
[35]
GSM6044595
[36]
GSM6044596
[37]
GSM6044597
[38]
GSM6044598
[39]
GSM6044599
[40]
GSM6044600
[41]
GSM6044601
[42]
GSM6044602
[43]
GSM6044603
[44]
GSM6044604
[45]
GSM6044605
[46]
GSM6044606
[47]
GSM6044607
[48]
GSM6044608
[49]
GSM6044609
[50]
GSM6044610
[51]
GSM6044611
[52]
GSM6044612
[53]
GSM6044613
[54]
GSM6044614
[55]
GSM6044615
[56]
GSM6044616
[57]
GSM6044617
[58]
GSM6044618
[59]
GSM6044619
[60]
GSM6044620
[61]
GSM6044621
[62]
GSM6044622
[63]
GSM6044623
[64]
GSM6044624
[65]
GSM6044625
[66]
GSM6044626
[67]
GSM6044627
[68]
GSM6044628
[69]
GSM6044629
[70]
GSM6044630
[71]
GSM6044631
[72]
GSM6044632
[73]
GSM6044633
[74]
GSM6044634
[75]
GSM6044635
[76]
GSM6044636
[77]
GSM6044637
[78]
GSM6044638
[79]
GSM6044639
[80]
GSM6044640
[81]
GSM6044641
[82]
GSM6044642
[83]
GSM6044643
[84]
GSM6044644
[85]
GSM6044645
[86]
GSM6044646
[87]
GSM6044647
[88]
GSM6044648
[89]
GSM6044649
[90]
GSM6044650
[91]
GSM6044651
[92]
GSM6044652
[93]
GSM6044653
[94]
GSM6044654
[95]
GSM6044655
[96]
GSM6044656
[97]
GSM6044657
[98]
GSM6044658
[99]
GSM6044659
[100]
GSM6044660
[101]
GSM6044661
[102]
GSM6044662
[103]
GSM6044663
[104]
GSM6044664
[105]
GSM6044665
[106]
GSM6044666
[107]
GSM6044667
[108]
GSM6044668
[109]
GSM6044669
[110]
GSM6044670
[111]
GSM6044671
[112]
GSM6044672
[113]
GSM6044673
[114]
GSM6044674
[115]
GSM6044675
[116]
GSM6044676
[117]
GSM6044677
[118]
GSM6044678
[119]
GSM6044679
[120]
GSM6044680
[121]
GSM6044681
[122]
GSM6044682
[123]
GSM6044683
[124]
GSM6044684
[125]
GSM6044685
[126]
GSM6044686
[127]
GSM6044687
[128]
GSM6044688
[129]
GSM6044689
[130]
GSM6044690
[131]
GSM6044691
[132]
GSM6044692
[133]
GSM6044693
[134]
GSM6044694
[135]
GSM6044695
[136]
GSM6044696
[137]
GSM6044697
[138]
GSM6044698
[139]
GSM6044699
[140]
GSM6044700
[141]
GSM6044701
[142]
GSM6044702
[143]
GSM6044703
[144]
GSM6044704
[145]
GSM6044705
[146]
GSM6044706
[147]
GSM6044707
[148]
GSM6044708
[149]
GSM6044709
[150]
GSM6044710
[151]
GSM6044711
[152]
GSM6044712
sample_count
153
group_sizes
null
group_sizes_basis
null
platform
19983
taxon
Homo sapiens
title
Microarray profiles from glomerular compartment of kidney biopsies from adults screened for enrollment in the NEPTUNE cohort
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE115857 not downloaded
[1]
asset:data:geo:GSE115857 licence not read
[2]
asset:data:geo:GSE133288 not downloaded
[3]
asset:data:geo:GSE133288 licence not read
[4]
asset:data:geo:GSE200828 not downloaded
[5]
asset:data:geo:GSE200828 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
1
band
verbatim
quote
Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Analysis of variance
[2] object · 10 fields
id
method-3
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
limma
[3] object · 10 fields
id
method-4
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
PPI
[4] object · 10 fields
id
method-5
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
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
glm_logit_fit
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: logistic.
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]
GSE115857
[1]
GSE200828
[2]
GSE133288
resolved_accessions array · 3 items
[0]
GSE115857
[1]
GSE200828
[2]
GSE133288
statements array · 1 item
[0]
The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.
basis
The paper names GSE115857, GSE200828, GSE133288 in 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 · 1 item
[0]
glm_logit_fit
assets array · 2 items
[0]
source:pmid:39806779
[1]
data:geo:GSE115857
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:GSE115857
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
2026-11-01T19:44:36Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
11714
completion_tokens
2021
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:39806779
type
paper
label
pmid:39806779
[1] object · 3 fields
id
source:pmid:39806779
type
manuscript
label
PMID 39806779 full text
[2] object · 3 fields
id
data:geo:GSE115857
type
dataset
label
GEO GSE115857
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:39806779
type
paper
label
pmid:39806779
[1] object · 3 fields
id
source:pmid:39806779
type
manuscript
label
PMID 39806779 full text
[2] object · 3 fields
id
data:geo:GSE115857
type
dataset
label
GEO GSE115857
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-39806779
type
extraction
used array · 1 item
[0]
source:pmid:39806779
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE115857
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE115857
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:39806779
parent_hash
sha256:fcab4f04995fd5ee298619585245a93739681de1e5ed348bad545a6a5e821617
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE115857 licence not read
[1]
asset:data:geo:GSE115857 not downloaded
[2]
asset:data:geo:GSE133288 licence not read
[3]
asset:data:geo:GSE133288 not downloaded
[4]
asset:data:geo:GSE200828 licence not read
[5]
asset:data:geo:GSE200828 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 5 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
tion was performed in the GSE133288 dataset. IHC and qRT-PCR detected characteristic gene exp
[1]
19A2, ZFP36, and FOSB negatively correlated. IHC analysis demonstrated consistent gene expres
order_basis
paper_text_order:836
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 2 items
[0]
tive serum reducing viability and increasing apoptosis. Functional studies, prompted by RASD1 downr
[1]
revealed enhanced cell activity and reduced apoptosis upon RASD1 overexpression compared to the Se
order_basis
paper_text_order:1706
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
transfection
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]
als and methods Cell culture, treatment, and transfection Human podocytes (procell, CP-H075, Wuhan, CN
[1]
ium containing 5% FBS but without IFN-γ. For transfection, cells were transfected with RASD1 overexpre
[2]
without IFN-γ. For transfection, cells were transfected with RASD1 overexpression plasmid (Ov-RASD1)
[3]
verexpression plasmid (Ov-RASD1). 48 h after transfection, cells were cultured in medium for further e
order_basis
paper_text_order:2080
id
assay:3
[3] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
rocell Life Science Co., Ltd. Podocytes were cultured in culture dishes coated with type I collagen (
[1]
-RASD1). 48 h after transfection, cells were cultured in medium for further experiments. Statistical
order_basis
paper_text_order:2211
id
assay:4
[4] object · 11 fields
role
analysis
definition_id
regression_modelling
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
glm_logit_fit
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN.
order_basis
consumes_earlier_output
id
assay:5
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39806779", "kind": "science-record", "revision": 4, "content_hash": "sha256:284898e367d0d5640677c744f58bc59fc3b33bf30f50666b149b09be316e8863", "created_at": "2026-11-01T20:30:07Z", "updated_at": "2026-11-01T22:56:00Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm.", "doi": "10.1080/0886022X.2024.2438859", "pmid": "39806779", "authors": ["Jinxu Huang", "Yaqing Huang", "Xiaoling Zeng", "Yuhong Zhang", "Junneng Zhang", "Qingchu Hong", "Yongtiao Peng"], "journal": "Renal failure", "year": 2025, "abstract": "Adult nephrotic syndrome is primarily caused by membranous nephropathy (MN), with idiopathic membranous nephropathy (IMN) being a prominent subtype. The onset of phospholipase A2 receptor (PLA2R1)-associated IMN is critically linked to M-type PLA2R1 exposure, yet the mechanism underlying glomerular injury remains unclear. In this study, membranous nephropathy datasets (GSE115857, GSE200828) were retrieved from GEO. Differential gene expression was analyzed using the 'limma' R package. WGCNA filtered PLA2R-related modules and intersected genes. LASSO regression, evaluated by ROC analysis, identified characteristic genes. Binomial logistic regression assessed their association with IMN. Validation was performed in the GSE133288 dataset. IHC and qRT-PCR detected characteristic gene expression in PLA2R-positive patients. This study identified elevated PLA2R expression in IMN patients among 117 DEGs. PPI analysis suggested enrichment in Golgi membranes, co-regulation, and glucocorticoid responsiveness, implicating the PPAR pathway by KEGG. WGCNA revealed a 440-gene brown module associated with IMN-PLA2R, with ECM1, SLC19A2, RASD1, FOSB, KDELR3, ZFP36, and ELF4 highlighted as diagnostic markers by ROC analysis. Clinical validation confirmed ECM1 upregulation increased IMN risk, while upregulation of SLC19A2, ZFP36, RASD1, and FOSB decreased it. ECM1 positively correlated with PLA2R, whereas SLC19A2, ZFP36, and FOSB negatively correlated. IHC analysis demonstrated consistent gene expression patterns in IMN tissues, with podocyte exposure to PLA2R-positive serum reducing viability and increasing apoptosis. Functional studies, prompted by RASD1 downregulation, revealed enhanced cell activity and reduced apoptosis upon RASD1 overexpression compared to the Serum + Ov-NC control. Collectively, this study identified diagnostic markers for PLA2R-related IMN, offering novel therapeutic targets for the treatment of IMN.", "claims": [{"id": "claim-method", "statement": "Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39806779", "locator": "sections[1] \"Introduction\" paragraph 4", "quote": "Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39806779", "locator": "sections[3] \"Data download and processing\" paragraph 2", "quote": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "This study identified diagnostic markers for PLA2R-related IMN, offering novel therapeutic targets for the treatment of IMN.", "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:39806779"], "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:GSE115857"], "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:GSE115857"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39806779", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1080/0886022X.2024.2438859", "sha256": "sha256:8f8ff35192eec3f6113af90a4a4b8cf2936fd6f88eb5e0f4d7fc20c2d5df5dda", "bytes": 38992, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1080/0886022X.2024.2438859", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11734395", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE115857", "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=GSE115857", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE115857", "version": null, "note": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM3191893", "GSM3191894", "GSM3191895", "GSM3191896", "GSM3191897", "GSM3191898", "GSM3191899", "GSM3191900", "GSM3191901", "GSM3191902", "GSM3191903", "GSM3191904", "GSM3191905", "GSM3191906", "GSM3191907", "GSM3191908", "GSM3191909", "GSM3191910", "GSM3191911", "GSM3191912", "GSM3191913", "GSM3191914", "GSM3191915", "GSM3191916", "GSM3191917", "GSM3191918", "GSM3191919", "GSM3191920", "GSM3191921", "GSM3191922", "GSM3191923", "GSM3191924", "GSM3191925", "GSM3191926", "GSM3191927", "GSM3191928", "GSM3191929", "GSM3191930", "GSM3191931", "GSM3191932", "GSM3191933", "GSM3191934", "GSM3191935", "GSM3191936", "GSM3191937", "GSM3191938", "GSM3191939", "GSM3191940", "GSM3191941", "GSM3191942", "GSM3191943", "GSM3191944", "GSM3191945", "GSM3191946", "GSM3191947", "GSM3191948", "GSM3191949", "GSM3191950", "GSM3191951", "GSM3191952", "GSM3191953", "GSM3191954", "GSM3191955", "GSM3191956", "GSM3191957", "GSM3191958", "GSM3191959", "GSM3191960", "GSM3191961", "GSM3191962", "GSM3191963", "GSM3191964", "GSM3191965", "GSM3191966", "GSM3191967", "GSM3191968", "GSM3191969", "GSM3191970", "GSM3191971", "GSM3191972", "GSM3191973", "GSM3191974", "GSM3191975", "GSM3191976", "GSM3191977", "GSM3191978"], "sample_count": 86, "group_sizes": null, "group_sizes_basis": null, "platform": "14951", "taxon": "Homo sapiens", "title": "SPECIFIC BIOMARKERS ASSOCIATED WITH CHRONIC RENAL LESIONS IN IGA NEPHROPATHY PATIENTS. A MULTICENTER STUDY", "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:GSE133288", "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=GSE133288", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE133288", "version": null, "note": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM3904876", "GSM3904877", "GSM3904878", "GSM3904879", "GSM3904880", "GSM3904881", "GSM3904882", "GSM3904883", "GSM3904884", "GSM3904885", "GSM3904886", "GSM3904887", "GSM3904888", "GSM3904889", "GSM3904890", "GSM3904891", "GSM3904892", "GSM3904893", "GSM3904894", "GSM3904895", "GSM3904896", "GSM3904897", "GSM3904898", "GSM3904899", "GSM3904900", "GSM3904901", "GSM3904902", "GSM3904903", "GSM3904904", "GSM3904905", "GSM3904906", "GSM3904907", "GSM3904908", "GSM3904909", "GSM3904910", "GSM3904911", "GSM3904912", "GSM3904913", "GSM3904914", "GSM3904915", "GSM3904916", "GSM3904917", "GSM3904918", "GSM3904919", "GSM3904920", "GSM3904921", "GSM3904922", "GSM3904923", "GSM3904924", "GSM3904925", "GSM3904926", "GSM3904927", "GSM3904928", "GSM3904929", "GSM3904930", "GSM3904931", "GSM3904932", "GSM3904933", "GSM3904934", "GSM3904935", "GSM3904936", "GSM3904937", "GSM3904938", "GSM3904939", "GSM3904940", "GSM3904941", "GSM3904942", "GSM3904943", "GSM3904944", "GSM3904945", "GSM3904946", "GSM3904947", "GSM3904948", "GSM3904949", "GSM3904950", "GSM3904951", "GSM3904952", "GSM3904953", "GSM3904954", "GSM3904955", "GSM3904956", "GSM3904957", "GSM3904958", "GSM3904959", "GSM3904960", "GSM3904961", "GSM3904962", "GSM3904963", "GSM3904964", "GSM3904965", "GSM3904966", "GSM3904967", "GSM3904968", "GSM3904969", "GSM3904970", "GSM3904971", "GSM3904972", "GSM3904973", "GSM3904974", "GSM3904975", "GSM3904976", "GSM3904977", "GSM3904978", "GSM3904979", "GSM3904980", "GSM3904981", "GSM3904982", "GSM3904983", "GSM3904984", "GSM3904985", "GSM3904986", "GSM3904987", "GSM3904988", "GSM3904989", "GSM3904990", "GSM3904991", "GSM3904992", "GSM3904993", "GSM3904994", "GSM3904995", "GSM3904996", "GSM3904997", "GSM3904998", "GSM3904999", "GSM3905000", "GSM3905001", "GSM3905002", "GSM3905003", "GSM3905004", "GSM3905005", "GSM3905006", "GSM3905007", "GSM3905008", "GSM3905009", "GSM3905010", "GSM3905011", "GSM3905012", "GSM3905013", "GSM3905014", "GSM3905015", "GSM3905016", "GSM3905017", "GSM3905018", "GSM3905019", "GSM3905020", "GSM3905021", "GSM3905022", "GSM3905023", "GSM3905024", "GSM3905025", "GSM3905026", "GSM3905027", "GSM3905028", "GSM3905029", "GSM3905030", "GSM3905031", "GSM3905032", "GSM3905033", "GSM3905034", "GSM3905035", "GSM3905036", "GSM3905037", "GSM3905038", "GSM3905039", "GSM3905040", "GSM3905041", "GSM3905042", "GSM3905043", "GSM3905044", "GSM3905045", "GSM3905046", "GSM3905047", "GSM3905048", "GSM3905049", "GSM3905050", "GSM3905051", "GSM3905052", "GSM3905053", "GSM3905054", "GSM3905055", "GSM3905056", "GSM3905057", "GSM3905058", "GSM3905059", "GSM3905060", "GSM3905061", "GSM3905062", "GSM3905063", "GSM3905064", "GSM3905065", "GSM3905066", "GSM3905067", "GSM3905068", "GSM3905069", "GSM3905070", "GSM3905071", "GSM3905072", "GSM3905073", "GSM3905074", "GSM3905075", "GSM3905076", "GSM3905077", "GSM3905078", "GSM3905079", "GSM3905080", "GSM3905081", "GSM3905082", "GSM3905083", "GSM3905084", "GSM3905085", "GSM3905086", "GSM3905087", "GSM3905088", "GSM3905089", "GSM3905090", "GSM3905091", "GSM3905092", "GSM3905093", "GSM3905094", "GSM3905095", "GSM3905096", "GSM3905097", "GSM3905098", "GSM3905099", "GSM3905100", "GSM3905101", "GSM3905102", "GSM3905103", "GSM3905104", "GSM3905105", "GSM3905106", "GSM3905107", "GSM3905108", "GSM3905109", "GSM3905110", "GSM3905111", "GSM3905112", "GSM3905113", "GSM3905114", "GSM3905115", "GSM3905116", "GSM3905117", "GSM3905118", "GSM3905119"], "sample_count": 244, "group_sizes": null, "group_sizes_basis": null, "platform": "19983", "taxon": "Homo sapiens", "title": "Tubulointerstitial transcriptome data in the Neptune Cohort", "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:GSE200828", "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=GSE200828", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE200828", "version": null, "note": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM6044560", "GSM6044561", "GSM6044562", "GSM6044563", "GSM6044564", "GSM6044565", "GSM6044566", "GSM6044567", "GSM6044568", "GSM6044569", "GSM6044570", "GSM6044571", "GSM6044572", "GSM6044573", "GSM6044574", "GSM6044575", "GSM6044576", "GSM6044577", "GSM6044578", "GSM6044579", "GSM6044580", "GSM6044581", "GSM6044582", "GSM6044583", "GSM6044584", "GSM6044585", "GSM6044586", "GSM6044587", "GSM6044588", "GSM6044589", "GSM6044590", "GSM6044591", "GSM6044592", "GSM6044593", "GSM6044594", "GSM6044595", "GSM6044596", "GSM6044597", "GSM6044598", "GSM6044599", "GSM6044600", "GSM6044601", "GSM6044602", "GSM6044603", "GSM6044604", "GSM6044605", "GSM6044606", "GSM6044607", "GSM6044608", "GSM6044609", "GSM6044610", "GSM6044611", "GSM6044612", "GSM6044613", "GSM6044614", "GSM6044615", "GSM6044616", "GSM6044617", "GSM6044618", "GSM6044619", "GSM6044620", "GSM6044621", "GSM6044622", "GSM6044623", "GSM6044624", "GSM6044625", "GSM6044626", "GSM6044627", "GSM6044628", "GSM6044629", "GSM6044630", "GSM6044631", "GSM6044632", "GSM6044633", "GSM6044634", "GSM6044635", "GSM6044636", "GSM6044637", "GSM6044638", "GSM6044639", "GSM6044640", "GSM6044641", "GSM6044642", "GSM6044643", "GSM6044644", "GSM6044645", "GSM6044646", "GSM6044647", "GSM6044648", "GSM6044649", "GSM6044650", "GSM6044651", "GSM6044652", "GSM6044653", "GSM6044654", "GSM6044655", "GSM6044656", "GSM6044657", "GSM6044658", "GSM6044659", "GSM6044660", "GSM6044661", "GSM6044662", "GSM6044663", "GSM6044664", "GSM6044665", "GSM6044666", "GSM6044667", "GSM6044668", "GSM6044669", "GSM6044670", "GSM6044671", "GSM6044672", "GSM6044673", "GSM6044674", "GSM6044675", "GSM6044676", "GSM6044677", "GSM6044678", "GSM6044679", "GSM6044680", "GSM6044681", "GSM6044682", "GSM6044683", "GSM6044684", "GSM6044685", "GSM6044686", "GSM6044687", "GSM6044688", "GSM6044689", "GSM6044690", "GSM6044691", "GSM6044692", "GSM6044693", "GSM6044694", "GSM6044695", "GSM6044696", "GSM6044697", "GSM6044698", "GSM6044699", "GSM6044700", "GSM6044701", "GSM6044702", "GSM6044703", "GSM6044704", "GSM6044705", "GSM6044706", "GSM6044707", "GSM6044708", "GSM6044709", "GSM6044710", "GSM6044711", "GSM6044712"], "sample_count": 153, "group_sizes": null, "group_sizes_basis": null, "platform": "19983", "taxon": "Homo sapiens", "title": "Microarray profiles from glomerular compartment of kidney biopsies from adults screened for enrollment in the NEPTUNE cohort", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE115857 not downloaded", "asset:data:geo:GSE115857 licence not read", "asset:data:geo:GSE133288 not downloaded", "asset:data:geo:GSE133288 licence not read", "asset:data:geo:GSE200828 not downloaded", "asset:data:geo:GSE200828 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "regression_modelling", "specific": "logistic", "label": "Regression modelling", "dsl_operations": ["glm_logit_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN."}}, {"id": "method-2", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Analysis of variance"}}, {"id": "method-3", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.7, "band": "medium", "quote": "limma"}}, {"id": "method-4", "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": "PPI"}}, {"id": "method-5", "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"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["glm_logit_fit"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: logistic."}, "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": ["GSE115857", "GSE200828", "GSE133288"], "resolved_accessions": ["GSE115857", "GSE200828", "GSE133288"], "statements": ["The dataset pertaining to MN was retrieved from the GEO database, GSE115857 (IMN = 11, Control = 7) and GSE200828 (IMN = 51, Control = 6) were used as training sets, and GSE133288 (IMN = 48, Control = 5) was used as validation sets."], "basis": "The paper names GSE115857, GSE200828, GSE133288 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["glm_logit_fit"], "assets": ["source:pmid:39806779", "data:geo:GSE115857"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE115857"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:44:36Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 11714, "completion_tokens": 2021, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:39806779", "type": "paper", "label": "pmid:39806779"}, {"id": "source:pmid:39806779", "type": "manuscript", "label": "PMID 39806779 full text"}, {"id": "data:geo:GSE115857", "type": "dataset", "label": "GEO GSE115857"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39806779", "type": "paper", "label": "pmid:39806779"}, {"id": "source:pmid:39806779", "type": "manuscript", "label": "PMID 39806779 full text"}, {"id": "data:geo:GSE115857", "type": "dataset", "label": "GEO GSE115857"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39806779", "type": "extraction", "used": ["source:pmid:39806779"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE115857", "type": "accession_resolution", "used": ["data:geo:GSE115857"], "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:39806779", "parent_hash": "sha256:fcab4f04995fd5ee298619585245a93739681de1e5ed348bad545a6a5e821617", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE115857 licence not read", "asset:data:geo:GSE115857 not downloaded", "asset:data:geo:GSE133288 licence not read", "asset:data:geo:GSE133288 not downloaded", "asset:data:geo:GSE200828 licence not read", "asset:data:geo:GSE200828 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tion was performed in the GSE133288 dataset. IHC and qRT-PCR detected characteristic gene exp", "19A2, ZFP36, and FOSB negatively correlated. IHC analysis demonstrated consistent gene expres"], "order_basis": "paper_text_order:836", "id": "assay:1"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["tive serum reducing viability and increasing apoptosis. Functional studies, prompted by RASD1 downr", "revealed enhanced cell activity and reduced apoptosis upon RASD1 overexpression compared to the Se"], "order_basis": "paper_text_order:1706", "id": "assay:2"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["als and methods Cell culture, treatment, and transfection Human podocytes (procell, CP-H075, Wuhan, CN", "ium containing 5% FBS but without IFN-γ. For transfection, cells were transfected with RASD1 overexpre", "without IFN-γ. For transfection, cells were transfected with RASD1 overexpression plasmid (Ov-RASD1)", "verexpression plasmid (Ov-RASD1). 48 h after transfection, cells were cultured in medium for further e"], "order_basis": "paper_text_order:2080", "id": "assay:3"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["rocell Life Science Co., Ltd. Podocytes were cultured in culture dishes coated with type I collagen (", "-RASD1). 48 h after transfection, cells were cultured in medium for further experiments. Statistical"], "order_basis": "paper_text_order:2211", "id": "assay:4"}, {"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["glm_logit_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Utilizing weighted correlation network analysis (WGCNA), modules and genes strongly correlated with PLA2R membranous nephropathy were identified, intersected with the differential genes. Subsequently, LASSO regression refined the characteristic genes, and ROC analysis assessed their sensitivity and specificity. Then, the binomial logistic regression method of the generalized linear model was used to analyze the relationship between the expression of the characteristic genes and IMN."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}