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

pmid:35386281

Co-Expression Network Modeling Identifies Specific Inflammation and Neurological Disease-Related Genes mRNA Modules in Mood Disorder.

Chunxia Yang · Kun Zhang · Aixia Zhang · Ning Sun · Zhifen Liu · Kerang Zhang

Frontiers in genetics · 2022 doi:10.3389/fgene.2022.865015

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:35386281
kind
science-record
content_hash
sha256:f0bf6591abc72d14d64fa974fb26a97ec723cd7523be4454ac9dc0fa1488d161
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:14:12Z
updated_at
2026-11-01T21:27:35Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Co-Expression Network Modeling Identifies Specific Inflammation and Neurological Disease-Related Genes mRNA Modules in Mood Disorder.
doi
10.3389/fgene.2022.865015
pmid
35386281
authors array · 6 items
[0]
Chunxia Yang
[1]
Kun Zhang
[2]
Aixia Zhang
[3]
Ning Sun
[4]
Zhifen Liu
[5]
Kerang Zhang
journal
Frontiers in genetics
year
2022
abstract
Objectives: Mood disorders are a kind of serious mental illness, although their molecular factors involved in the pathophysiology remain unknown. One approach to examine the molecular basis of mood disorders is co-expression network analysis (WGCNA), which is expected to further divide the set of differentially expressed genes into subgroups (i.e., modules) in a more (biologically) meaningful way, fascinating the downstream enrichment analysis. The aim of our study was to identify hub genes in modules in mood disorders by using WGCNA. Methods: Microarray data for expression values of 4,311,721 mRNA in peripheral blood mononuclear cells drawn from 21 MDD, 8 BD, and 24 HC individuals were obtained from GEO (GSE39653); data for genes with expression in the bottom third for 80% or more of the samples were removed. Then, the top 70% most variable genes/probs were selected for WGCNA: 27,884 probes representing 21,840 genes; correlation between module genes and mood disorder (MDD+BD vs. HC) was evaluated. Results: About 52% of 27,765 genes were found to form 50 co-expression modules with sizes 42-3070. Among the 50 modules, the eigengenes of two modules were significantly correlated with mood disorder (p < 0.05). The saddlebrown module was found in one of the meta-modules in the network of the 50 eigengenes along with mood disorder, 6 (IER5, NFKBIZ, CITED2, TNF, SERTAD1, ADM) out of 12 differentially expressed genes identified in Savitz et al. were found in the saddlebrown module. Conclusions: We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder. Overall, our findings support other reports on molecular-level immune dysfunction in mood disorder and provide novel insights into the pathophysiology of mood disorder.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Using the preprocessed and transformed data, a co-expressed network was constructed using the WGCNA R package (Zhang and Horvath, 2005).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35386281
locator
sections[4] "Construction of Weighted Gene Co-Expression Network" paragraph 2
quote
Using the preprocessed and transformed data, a co-expressed network was constructed using the WGCNA R package (Zhang and Horvath, 2005).
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35386281
locator
sections[16] "Data Availability Statement" paragraph 2
quote
Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35386281
locator
sections[0] "Abstract" paragraph 4
quote
We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder.
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:35386281
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:GSE39653
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:GSE39653
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 · 2 items
[0] object · 15 fields
id
source:pmid:35386281
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fgene.2022.865015
sha256
sha256:a282ceff55bd6e38afb0581dc676e1c8579f344aca179e4e73e8a1dad6adf71c
bytes
40366
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fgene.2022.865015
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
PMC8977853
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE39653
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=GSE39653
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39653
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.
access_statement_kind
data_availability_statement
sample_accessions array · 53 items
[0]
GSM973762
[1]
GSM973763
[2]
GSM973764
[3]
GSM973765
[4]
GSM973766
[5]
GSM973767
[6]
GSM973768
[7]
GSM973769
[8]
GSM973770
[9]
GSM973771
[10]
GSM973772
[11]
GSM973773
[12]
GSM973774
[13]
GSM973775
[14]
GSM973776
[15]
GSM973777
[16]
GSM973778
[17]
GSM973779
[18]
GSM973780
[19]
GSM973781
[20]
GSM973782
[21]
GSM973783
[22]
GSM973784
[23]
GSM973785
[24]
GSM973786
[25]
GSM973787
[26]
GSM973788
[27]
GSM973789
[28]
GSM973790
[29]
GSM973791
[30]
GSM973792
[31]
GSM973793
[32]
GSM973794
[33]
GSM973795
[34]
GSM973796
[35]
GSM973797
[36]
GSM973798
[37]
GSM973799
[38]
GSM973800
[39]
GSM973801
[40]
GSM973802
[41]
GSM973803
[42]
GSM973804
[43]
GSM973805
[44]
GSM973806
[45]
GSM973807
[46]
GSM973808
[47]
GSM973809
[48]
GSM973810
[49]
GSM973811
[50]
GSM973812
[51]
GSM973813
[52]
GSM973814
sample_count
53
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Differential Gene Expression in Patients with Mood Disorders
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 · 2 items
[0]
asset:data:geo:GSE39653 not downloaded
[1]
asset:data:geo:GSE39653 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
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
Using the preprocessed and transformed data, a co-expressed network was constructed using the WGCNA R package (Zhang and Horvath, 2005).
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (Weighted gene co-expression network analysis (WGCNA)), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
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 · 1 item
[0]
GSE39653
resolved_accessions array · 1 item
[0]
GSE39653
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.
basis
The paper names GSE39653 in National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 2 items
[0]
source:pmid:35386281
[1]
data:geo:GSE39653
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:GSE39653
gaps array · 1 item
[0]
method:not_determinable
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
2026-11-01T17:41:02Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
12039
completion_tokens
1221
cached_tokens
128
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:35386281
type
paper
label
pmid:35386281
[1] object · 3 fields
id
source:pmid:35386281
type
manuscript
label
PMID 35386281 full text
[2] object · 3 fields
id
data:geo:GSE39653
type
dataset
label
GEO GSE39653
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:35386281
type
paper
label
pmid:35386281
[1] object · 3 fields
id
source:pmid:35386281
type
manuscript
label
PMID 35386281 full text
[2] object · 3 fields
id
data:geo:GSE39653
type
dataset
label
GEO GSE39653
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35386281
type
extraction
used array · 1 item
[0]
source:pmid:35386281
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE39653
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE39653
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:35386281
parent_hash
sha256:99976ba76e6c71ce274970ffb98cecd479d548bda83edbc966551d48a963a5e8
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE39653 licence not read
[1]
asset:data:geo:GSE39653 not downloaded
[2]
execution.not_run
[3]
method.reader_named_unmapped
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
s in mood disorders by using WGCNA. Methods: Microarray data for expression values of 4,311,721 mRNA
order_basis
paper_text_order:639
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35386281", "kind": "science-record", "revision": 3, "content_hash": "sha256:f0bf6591abc72d14d64fa974fb26a97ec723cd7523be4454ac9dc0fa1488d161", "created_at": "2026-11-01T18:14:12Z", "updated_at": "2026-11-01T21:27:35Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Co-Expression Network Modeling Identifies Specific Inflammation and Neurological Disease-Related Genes mRNA Modules in Mood Disorder.", "doi": "10.3389/fgene.2022.865015", "pmid": "35386281", "authors": ["Chunxia Yang", "Kun Zhang", "Aixia Zhang", "Ning Sun", "Zhifen Liu", "Kerang Zhang"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Objectives: Mood disorders are a kind of serious mental illness, although their molecular factors involved in the pathophysiology remain unknown. One approach to examine the molecular basis of mood disorders is co-expression network analysis (WGCNA), which is expected to further divide the set of differentially expressed genes into subgroups (i.e., modules) in a more (biologically) meaningful way, fascinating the downstream enrichment analysis. The aim of our study was to identify hub genes in modules in mood disorders by using WGCNA. Methods: Microarray data for expression values of 4,311,721 mRNA in peripheral blood mononuclear cells drawn from 21 MDD, 8 BD, and 24 HC individuals were obtained from GEO (GSE39653); data for genes with expression in the bottom third for 80% or more of the samples were removed. Then, the top 70% most variable genes/probs were selected for WGCNA: 27,884 probes representing 21,840 genes; correlation between module genes and mood disorder (MDD+BD vs. HC) was evaluated. Results: About 52% of 27,765 genes were found to form 50 co-expression modules with sizes 42-3070. Among the 50 modules, the eigengenes of two modules were significantly correlated with mood disorder (p < 0.05). The saddlebrown module was found in one of the meta-modules in the network of the 50 eigengenes along with mood disorder, 6 (IER5, NFKBIZ, CITED2, TNF, SERTAD1, ADM) out of 12 differentially expressed genes identified in Savitz et al. were found in the saddlebrown module. Conclusions: We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder. Overall, our findings support other reports on molecular-level immune dysfunction in mood disorder and provide novel insights into the pathophysiology of mood disorder.", "claims": [{"id": "claim-method", "statement": "Using the preprocessed and transformed data, a co-expressed network was constructed using the WGCNA R package (Zhang and Horvath, 2005).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35386281", "locator": "sections[4] \"Construction of Weighted Gene Co-Expression Network\" paragraph 2", "quote": "Using the preprocessed and transformed data, a co-expressed network was constructed using the WGCNA R package (Zhang and Horvath, 2005)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35386281", "locator": "sections[16] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35386281", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder.", "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:35386281"], "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:GSE39653"], "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:GSE39653"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35386281", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2022.865015", "sha256": "sha256:a282ceff55bd6e38afb0581dc676e1c8579f344aca179e4e73e8a1dad6adf71c", "bytes": 40366, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2022.865015", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8977853", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE39653", "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=GSE39653", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39653", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM973762", "GSM973763", "GSM973764", "GSM973765", "GSM973766", "GSM973767", "GSM973768", "GSM973769", "GSM973770", "GSM973771", "GSM973772", "GSM973773", "GSM973774", "GSM973775", "GSM973776", "GSM973777", "GSM973778", "GSM973779", "GSM973780", "GSM973781", "GSM973782", "GSM973783", "GSM973784", "GSM973785", "GSM973786", "GSM973787", "GSM973788", "GSM973789", "GSM973790", "GSM973791", "GSM973792", "GSM973793", "GSM973794", "GSM973795", "GSM973796", "GSM973797", "GSM973798", "GSM973799", "GSM973800", "GSM973801", "GSM973802", "GSM973803", "GSM973804", "GSM973805", "GSM973806", "GSM973807", "GSM973808", "GSM973809", "GSM973810", "GSM973811", "GSM973812", "GSM973813", "GSM973814"], "sample_count": 53, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Differential Gene Expression in Patients with Mood Disorders", "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:GSE39653 not downloaded", "asset:data:geo:GSE39653 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "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": "Using the preprocessed and transformed data, a co-expressed network was constructed using the WGCNA R package (Zhang and Horvath, 2005)."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "method", "blocked_on": "method:not_determinable", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (Weighted gene co-expression network analysis (WGCNA)), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "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": ["GSE39653"], "resolved_accessions": ["GSE39653"], "statements": ["Publicly available datasets were analyzed in this study. This data can be found here: http://www.ncbi.nlm.org/geo/."], "basis": "The paper names GSE39653 in National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:35386281", "data:geo:GSE39653"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE39653"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:41:02Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 12039, "completion_tokens": 1221, "cached_tokens": 128}}, "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:35386281", "type": "paper", "label": "pmid:35386281"}, {"id": "source:pmid:35386281", "type": "manuscript", "label": "PMID 35386281 full text"}, {"id": "data:geo:GSE39653", "type": "dataset", "label": "GEO GSE39653"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35386281", "type": "paper", "label": "pmid:35386281"}, {"id": "source:pmid:35386281", "type": "manuscript", "label": "PMID 35386281 full text"}, {"id": "data:geo:GSE39653", "type": "dataset", "label": "GEO GSE39653"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35386281", "type": "extraction", "used": ["source:pmid:35386281"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE39653", "type": "accession_resolution", "used": ["data:geo:GSE39653"], "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:35386281", "parent_hash": "sha256:99976ba76e6c71ce274970ffb98cecd479d548bda83edbc966551d48a963a5e8", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE39653 licence not read", "asset:data:geo:GSE39653 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["s in mood disorders by using WGCNA. Methods: Microarray data for expression values of 4,311,721 mRNA"], "order_basis": "paper_text_order:639", "id": "assay:1"}]}