← 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
paper object · 10 fields
authors array · 7 items
claims array · 2 items
[0] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[1] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
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
assets array · 4 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 86 items
[2] object · 15 fields
structure object · 15 fields
sample_accessions array · 244 items
[3] object · 15 fields
structure object · 15 fields
sample_accessions array · 153 items
gaps array · 6 items
analysis object · 4 fields
methods array · 5 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
evidence object · 3 fields
[1] object · 10 fields
dsl_operations array · 4 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[3] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[4] object · 10 fields
dsl_operations array · 6 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 0 items
gaps array · 1 item
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 3 items
resolved_accessions array · 3 items
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
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
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 11 items
assays array · 5 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[1] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[2] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 4 items
[3] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[4] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
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"}]}