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

pmid:40300035

Unveiling hub genes and biological pathways: A bioinformatics analysis of Trauma-Induced Coagulopathy (TIC).

Lingang Zhang · Bo Li · Jing Liu · Yan Feng Bian · Guo Xing Lin · Ying Zhou

PloS one · 2025 doi:10.1371/journal.pone.0322043

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:40300035
kind
science-record
content_hash
sha256:791c77f871f5d7fa03cafe05f99ba0f8b515dd044444ec60783c208e388873a2
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:30:27Z
updated_at
2026-11-01T22:56:27Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Unveiling hub genes and biological pathways: A bioinformatics analysis of Trauma-Induced Coagulopathy (TIC).
doi
10.1371/journal.pone.0322043
pmid
40300035
authors array · 6 items
[0]
Lingang Zhang
[1]
Bo Li
[2]
Jing Liu
[3]
Yan Feng Bian
[4]
Guo Xing Lin
[5]
Ying Zhou
journal
PloS one
year
2025
abstract
BACKGROUND: Trauma-Induced Coagulopathy is a severe condition that rapidly manifests following traumatic injury and is characterized by shock, hypoperfusion, and vascular damage. This study employed bioinformatics methods to identify crucial hub genes and pathways associated with TIC. METHODS: Microarray datasets (accession number GSE223245) were obtained from the Gene Expression Omnibus (GEO) database. The data were subjected analyses to identify the Differentially Expressed Genes (DEGs), which were further subjected to GO and KEGG pathway analyses. Subsequently, a Protein-Protein Interaction (PPI) network was constructed and hub DEGs closely linked to TIC were identified using CytoHubba, MCODE, and CTD scores. The diagnostic value of these hub genes was evaluated using Receiver Operating Characteristic (ROC) analysis. RESULTS: Among the analyzed genes, 269 were identified as DEGs, comprising 103 upregulated and 739 downregulated genes. Notably, several significant hub genes were associated with the development of TIC, as revealed by bioinformatic analyses. CONCLUSIONS: This study highlights the critical impact of newly discovered genes on the development and progression of TIC. Further validation through experimental research and clinical trials is required to confirm these findings.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40300035
locator
sections[4] "2.2 Data Processing and Differentially Expressed Genes Identification" paragraph 2
quote
Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40300035
locator
sections[16] "Data Availability" paragraph 2
quote
The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245
state
complete
[2] object · 6 fields
id
claim-target-result
statement
ROC analysis of the 10 identified hub genes produced AUC values ranging from 0.812 for HERC5 to 0.875 for DDX60, with DDX60 having the highest reported AUC.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40300035
locator
sections[13] "3.4 Assessing the diagnostic value of hub genes" paragraph 2
quote
The AUC for OAS2, OAS3, IFIT2, IFIT1, IFIT3, HERC5, IFI44, IFI44L, RSAD2, DDX60 were 0.854,0.833, 0.854, 0.854, 0.854,0.812,0.833,0.833,0.833,0.875.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
ROC analysis of the 10 identified hub genes produced AUC values ranging from 0.812 for HERC5 to 0.875 for DDX60, with DDX60 having the highest reported AUC.
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:40300035
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:GSE223245
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:GSE223245
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:40300035
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1371/journal.pone.0322043
sha256
sha256:0a6bc1e3406f9e8723df9540b475241fe53e74e94148f70e346495dcfc519b61
bytes
30968
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1371/journal.pone.0322043
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
PMC12040245
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE223245
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=GSE223245
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE223245
version
null
note
The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245
access_statement_kind
data_availability_statement
sample_accessions array · 16 items
[0]
GSM6943813
[1]
GSM6943814
[2]
GSM6943815
[3]
GSM6943816
[4]
GSM6943817
[5]
GSM6943818
[6]
GSM6943819
[7]
GSM6943820
[8]
GSM6943821
[9]
GSM6943822
[10]
GSM6943823
[11]
GSM6943824
[12]
GSM6943825
[13]
GSM6943826
[14]
GSM6943827
[15]
GSM6943828
sample_count
16
group_sizes
null
group_sizes_basis
null
platform
33038
taxon
Homo sapiens
title
Integrated single-cell multiomics reveals novel immune candidate markers for post-traumatic coagulopathy
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE223245 not downloaded
[1]
asset:data:geo:GSE223245 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”
[1] object · 10 fields
id
method-2
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
Protein-Protein Interaction
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
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]
GSE223245
resolved_accessions array · 1 item
[0]
GSE223245
statements array · 1 item
[0]
The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245
basis
The paper names GSE223245 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:40300035
[1]
data:geo:GSE223245
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:GSE223245
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
2026-11-01T19:51:30Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9676
completion_tokens
1818
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:40300035
type
paper
label
pmid:40300035
[1] object · 3 fields
id
source:pmid:40300035
type
manuscript
label
PMID 40300035 full text
[2] object · 3 fields
id
data:geo:GSE223245
type
dataset
label
GEO GSE223245
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:40300035
type
paper
label
pmid:40300035
[1] object · 3 fields
id
source:pmid:40300035
type
manuscript
label
PMID 40300035 full text
[2] object · 3 fields
id
data:geo:GSE223245
type
dataset
label
GEO GSE223245
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-40300035
type
extraction
used array · 1 item
[0]
source:pmid:40300035
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE223245
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE223245
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:40300035
parent_hash
sha256:d8250c01157b5c0947dd32999484279f4f02b288cd90df768f316436878de9e3
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE223245 licence not read
[1]
asset:data:geo:GSE223245 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 2 items
[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
0.99
evidence array · 3 items
[0]
s and pathways associated with TIC. METHODS: Microarray datasets (accession number GSE223245) were o
[1]
ifferentially Expressed Genes Identification Microarray data were accessed from GEO using the R pack
[2]
xpressed genes (DEGs) were obtained from the microarray data using the R package “limma.” All identi
order_basis
paper_text_order:359
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40300035", "kind": "science-record", "revision": 4, "content_hash": "sha256:791c77f871f5d7fa03cafe05f99ba0f8b515dd044444ec60783c208e388873a2", "created_at": "2026-11-01T20:30:27Z", "updated_at": "2026-11-01T22:56:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Unveiling hub genes and biological pathways: A bioinformatics analysis of Trauma-Induced Coagulopathy (TIC).", "doi": "10.1371/journal.pone.0322043", "pmid": "40300035", "authors": ["Lingang Zhang", "Bo Li", "Jing Liu", "Yan Feng Bian", "Guo Xing Lin", "Ying Zhou"], "journal": "PloS one", "year": 2025, "abstract": "BACKGROUND: Trauma-Induced Coagulopathy is a severe condition that rapidly manifests following traumatic injury and is characterized by shock, hypoperfusion, and vascular damage. This study employed bioinformatics methods to identify crucial hub genes and pathways associated with TIC.\nMETHODS: Microarray datasets (accession number GSE223245) were obtained from the Gene Expression Omnibus (GEO) database. The data were subjected analyses to identify the Differentially Expressed Genes (DEGs), which were further subjected to GO and KEGG pathway analyses. Subsequently, a Protein-Protein Interaction (PPI) network was constructed and hub DEGs closely linked to TIC were identified using CytoHubba, MCODE, and CTD scores. The diagnostic value of these hub genes was evaluated using Receiver Operating Characteristic (ROC) analysis.\nRESULTS: Among the analyzed genes, 269 were identified as DEGs, comprising 103 upregulated and 739 downregulated genes. Notably, several significant hub genes were associated with the development of TIC, as revealed by bioinformatic analyses.\nCONCLUSIONS: This study highlights the critical impact of newly discovered genes on the development and progression of TIC. Further validation through experimental research and clinical trials is required to confirm these findings.", "claims": [{"id": "claim-method", "statement": "Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40300035", "locator": "sections[4] \"2.2 Data Processing and Differentially Expressed Genes Identification\" paragraph 2", "quote": "Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40300035", "locator": "sections[16] \"Data Availability\" paragraph 2", "quote": "The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245"}], "state": "complete"}, {"id": "claim-target-result", "statement": "ROC analysis of the 10 identified hub genes produced AUC values ranging from 0.812 for HERC5 to 0.875 for DDX60, with DDX60 having the highest reported AUC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40300035", "locator": "sections[13] \"3.4 Assessing the diagnostic value of hub genes\" paragraph 2", "quote": "The AUC for OAS2, OAS3, IFIT2, IFIT1, IFIT3, HERC5, IFI44, IFI44L, RSAD2, DDX60 were 0.854,0.833, 0.854, 0.854, 0.854,0.812,0.833,0.833,0.833,0.875."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "ROC analysis of the 10 identified hub genes produced AUC values ranging from 0.812 for HERC5 to 0.875 for DDX60, with DDX60 having the highest reported AUC.", "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:40300035"], "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:GSE223245"], "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:GSE223245"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40300035", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1371/journal.pone.0322043", "sha256": "sha256:0a6bc1e3406f9e8723df9540b475241fe53e74e94148f70e346495dcfc519b61", "bytes": 30968, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1371/journal.pone.0322043", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12040245", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE223245", "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=GSE223245", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE223245", "version": null, "note": "The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM6943813", "GSM6943814", "GSM6943815", "GSM6943816", "GSM6943817", "GSM6943818", "GSM6943819", "GSM6943820", "GSM6943821", "GSM6943822", "GSM6943823", "GSM6943824", "GSM6943825", "GSM6943826", "GSM6943827", "GSM6943828"], "sample_count": 16, "group_sizes": null, "group_sizes_basis": null, "platform": "33038", "taxon": "Homo sapiens", "title": "Integrated single-cell multiomics reveals novel immune candidate markers for post-traumatic coagulopathy", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE223245 not downloaded", "asset:data:geo:GSE223245 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "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": 1.0, "band": "verbatim", "quote": "Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”"}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "Protein-Protein Interaction"}}], "targets": [], "gaps": []}, "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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "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": ["GSE223245"], "resolved_accessions": ["GSE223245"], "statements": ["The dataset used in our study is publicly available in the GEO database under the accession number GSE223245. The direct link to access the dataset is: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223245"], "basis": "The paper names GSE223245 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:40300035", "data:geo:GSE223245"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE223245"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:51:30Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9676, "completion_tokens": 1818, "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:40300035", "type": "paper", "label": "pmid:40300035"}, {"id": "source:pmid:40300035", "type": "manuscript", "label": "PMID 40300035 full text"}, {"id": "data:geo:GSE223245", "type": "dataset", "label": "GEO GSE223245"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:40300035", "type": "paper", "label": "pmid:40300035"}, {"id": "source:pmid:40300035", "type": "manuscript", "label": "PMID 40300035 full text"}, {"id": "data:geo:GSE223245", "type": "dataset", "label": "GEO GSE223245"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-40300035", "type": "extraction", "used": ["source:pmid:40300035"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE223245", "type": "accession_resolution", "used": ["data:geo:GSE223245"], "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:40300035", "parent_hash": "sha256:d8250c01157b5c0947dd32999484279f4f02b288cd90df768f316436878de9e3", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE223245 licence not read", "asset:data:geo:GSE223245 not downloaded", "execution.not_run", "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": 0.99, "evidence": ["s and pathways associated with TIC. METHODS: Microarray datasets (accession number GSE223245) were o", "ifferentially Expressed Genes Identification Microarray data were accessed from GEO using the R pack", "xpressed genes (DEGs) were obtained from the microarray data using the R package “limma.” All identi"], "order_basis": "paper_text_order:359", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differentially expressed genes (DEGs) were obtained from the microarray data using the R package “limma.”"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}