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

pmid:35874515

Identification of MEDAG and SERPINE1 Related to Hypoxia in Abdominal Aortic Aneurysm Based on Weighted Gene Coexpression Network Analysis.

Biyun Teng · Chaozheng Xie · Yu Zhao · Qiu Zeng · Fangbiao Zhan · Yangyang Feng · Zhe Wang

Frontiers in physiology · 2022 doi:10.3389/fphys.2022.926508

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:35874515
kind
science-record
content_hash
sha256:0fcfa0bdb0df7cc9e34490997fef8112f9badcaf77d48ae01a22d600eaa8114e
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:14:57Z
updated_at
2026-11-01T22:49:38Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification of MEDAG and SERPINE1 Related to Hypoxia in Abdominal Aortic Aneurysm Based on Weighted Gene Coexpression Network Analysis.
doi
10.3389/fphys.2022.926508
pmid
35874515
authors array · 7 items
[0]
Biyun Teng
[1]
Chaozheng Xie
[2]
Yu Zhao
[3]
Qiu Zeng
[4]
Fangbiao Zhan
[5]
Yangyang Feng
[6]
Zhe Wang
journal
Frontiers in physiology
year
2022
abstract
Purpose: Abdominal aortic aneurysm (AAA) is a severe cardiovascular disease that often results in high mortality due to sudden rupture. This paper aims to explore potential molecular mechanisms and effective targeted therapies to prevent and delay AAA rupture. Methods: We downloaded two microarray datasets (GSE98278 and GSE17901) from the Gene Expression Omnibus (GEO) database. Differential analysis and single-sample gene set enrichment analysis (ssGSEA) of hypoxia scores were performed on 48 AAA patients in GSE98278. We identified hypoxia- and ruptured AAA-related gene modules using weighted gene coexpression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the R package clusterProfiler. For candidate genes, validation was conducted on the mouse dataset GSE17901. Finally, we predicted drug candidates associated with the hub genes using the HERB Chinese medicine database. Results: Eighty-two differentially expressed genes were screened in the ruptured and stable groups; 103 differentially expressed genes were identified between the high- and low-hypoxia groups; and WGCNA identified 58 differentially expressed genes. Finally, nine candidate genes were screened, including two hub genes (MEDAG and SERPINE1). We identified pathways such as cytokine-cytokine receptor interaction and T-helper 1-type immune response involved in AAA hypoxia and rupture. We predicted 93 traditional Chinese medicines (TCMs) associated with MEDAG and SERPINE1. Conclusion: We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture. Our study provides an additional direction for the association between hypoxia and AAA rupture.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35874515
locator
sections[6] "Identification of Differentially Expressed Genes" paragraph 2
quote
The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35874515
locator
sections[22] "Data Availability Statement" paragraph 2
quote
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35874515
locator
sections[0] "Abstract" paragraph 4
quote
We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture.
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:35874515
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:GSE17901
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:GSE17901
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 · 3 items
[0] object · 15 fields
id
source:pmid:35874515
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fphys.2022.926508
sha256
sha256:ede5895032b7045cb8fc163d23cc996305cc2db92e3b1c00dac3003424926d91
bytes
28584
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fphys.2022.926508
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
PMC9301186
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE17901
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=GSE17901
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE17901
version
null
note
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
access_statement_kind
data_availability_statement
sample_accessions array · 35 items
[0]
GSM447065
[1]
GSM447066
[2]
GSM447067
[3]
GSM447068
[4]
GSM447069
[5]
GSM447070
[6]
GSM447071
[7]
GSM447072
[8]
GSM447073
[9]
GSM447074
[10]
GSM447075
[11]
GSM447076
[12]
GSM447077
[13]
GSM447078
[14]
GSM447079
[15]
GSM447080
[16]
GSM447081
[17]
GSM447082
[18]
GSM447083
[19]
GSM447084
[20]
GSM447085
[21]
GSM447086
[22]
GSM447087
[23]
GSM447088
[24]
GSM447089
[25]
GSM447090
[26]
GSM447091
[27]
GSM447092
[28]
GSM447093
[29]
GSM447094
[30]
GSM447095
[31]
GSM447096
[32]
GSM447097
[33]
GSM447098
[34]
GSM447099
sample_count
35
group_sizes
null
group_sizes_basis
null
platform
4134
taxon
Mus musculus
title
Abdominal Aortic Aneurysm in the ApoE Knockout Mouse: Time Course of Control vs. Angiotensin II
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE98278
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=GSE98278
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE98278
version
null
note
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
access_statement_kind
data_availability_statement
sample_accessions array · 48 items
[0]
GSM2590370
[1]
GSM2590371
[2]
GSM2590372
[3]
GSM2590373
[4]
GSM2590374
[5]
GSM2590375
[6]
GSM2590376
[7]
GSM2590377
[8]
GSM2590378
[9]
GSM2590379
[10]
GSM2590380
[11]
GSM2590381
[12]
GSM2590382
[13]
GSM2590383
[14]
GSM2590384
[15]
GSM2590385
[16]
GSM2590386
[17]
GSM2590387
[18]
GSM2590388
[19]
GSM2590389
[20]
GSM2590390
[21]
GSM2590391
[22]
GSM2590392
[23]
GSM2590393
[24]
GSM2590394
[25]
GSM2590395
[26]
GSM2590396
[27]
GSM2590397
[28]
GSM2590398
[29]
GSM2590399
[30]
GSM2590400
[31]
GSM2590401
[32]
GSM2590402
[33]
GSM2590403
[34]
GSM2590404
[35]
GSM2590405
[36]
GSM2590406
[37]
GSM2590407
[38]
GSM2590408
[39]
GSM2590409
[40]
GSM2590410
[41]
GSM2590411
[42]
GSM2590412
[43]
GSM2590413
[44]
GSM2590414
[45]
GSM2590415
[46]
GSM2590416
[47]
GSM2590417
sample_count
48
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
A molecular fingerprint for terminal abdominal aortic aneurysm progression
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE17901 not downloaded
[1]
asset:data:geo:GSE17901 licence not read
[2]
asset:data:geo:GSE98278 not downloaded
[3]
asset:data:geo:GSE98278 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
The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
GO enrichment
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 · 2 items
[0]
GSE98278
[1]
GSE17901
resolved_accessions array · 2 items
[0]
GSE98278
[1]
GSE17901
statements array · 1 item
[0]
The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).
basis
The paper names GSE98278, GSE17901 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:35874515
[1]
data:geo:GSE17901
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:GSE17901
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:56:41Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
8515
completion_tokens
1170
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:35874515
type
paper
label
pmid:35874515
[1] object · 3 fields
id
source:pmid:35874515
type
manuscript
label
PMID 35874515 full text
[2] object · 3 fields
id
data:geo:GSE17901
type
dataset
label
GEO GSE17901
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:35874515
type
paper
label
pmid:35874515
[1] object · 3 fields
id
source:pmid:35874515
type
manuscript
label
PMID 35874515 full text
[2] object · 3 fields
id
data:geo:GSE17901
type
dataset
label
GEO GSE17901
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35874515
type
extraction
used array · 1 item
[0]
source:pmid:35874515
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE17901
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE17901
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:35874515
parent_hash
sha256:fd79441e35c815fe1a4872d3af41dad9d32466cee711c74fa02719b79ce342a4
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE17901 licence not read
[1]
asset:data:geo:GSE17901 not downloaded
[2]
asset:data:geo:GSE98278 licence not read
[3]
asset:data:geo:GSE98278 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
animal_model
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.69
evidence array · 1 item
[0]
idate genes, validation was conducted on the mouse dataset GSE17901. Finally, we predicted drug
order_basis
paper_text_order:922
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]
The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups.
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:35874515", "kind": "science-record", "revision": 5, "content_hash": "sha256:0fcfa0bdb0df7cc9e34490997fef8112f9badcaf77d48ae01a22d600eaa8114e", "created_at": "2026-11-01T18:14:57Z", "updated_at": "2026-11-01T22:49:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of MEDAG and SERPINE1 Related to Hypoxia in Abdominal Aortic Aneurysm Based on Weighted Gene Coexpression Network Analysis.", "doi": "10.3389/fphys.2022.926508", "pmid": "35874515", "authors": ["Biyun Teng", "Chaozheng Xie", "Yu Zhao", "Qiu Zeng", "Fangbiao Zhan", "Yangyang Feng", "Zhe Wang"], "journal": "Frontiers in physiology", "year": 2022, "abstract": "Purpose: Abdominal aortic aneurysm (AAA) is a severe cardiovascular disease that often results in high mortality due to sudden rupture. This paper aims to explore potential molecular mechanisms and effective targeted therapies to prevent and delay AAA rupture. Methods: We downloaded two microarray datasets (GSE98278 and GSE17901) from the Gene Expression Omnibus (GEO) database. Differential analysis and single-sample gene set enrichment analysis (ssGSEA) of hypoxia scores were performed on 48 AAA patients in GSE98278. We identified hypoxia- and ruptured AAA-related gene modules using weighted gene coexpression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the R package clusterProfiler. For candidate genes, validation was conducted on the mouse dataset GSE17901. Finally, we predicted drug candidates associated with the hub genes using the HERB Chinese medicine database. Results: Eighty-two differentially expressed genes were screened in the ruptured and stable groups; 103 differentially expressed genes were identified between the high- and low-hypoxia groups; and WGCNA identified 58 differentially expressed genes. Finally, nine candidate genes were screened, including two hub genes (MEDAG and SERPINE1). We identified pathways such as cytokine-cytokine receptor interaction and T-helper 1-type immune response involved in AAA hypoxia and rupture. We predicted 93 traditional Chinese medicines (TCMs) associated with MEDAG and SERPINE1. Conclusion: We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture. Our study provides an additional direction for the association between hypoxia and AAA rupture.", "claims": [{"id": "claim-method", "statement": "The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35874515", "locator": "sections[6] \"Identification of Differentially Expressed Genes\" paragraph 2", "quote": "The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35874515", "locator": "sections[22] \"Data Availability Statement\" paragraph 2", "quote": "The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35874515", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We identified the hypoxic molecules MEDAG and SERPINE1 associated with AAA rupture.", "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:35874515"], "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:GSE17901"], "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:GSE17901"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35874515", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fphys.2022.926508", "sha256": "sha256:ede5895032b7045cb8fc163d23cc996305cc2db92e3b1c00dac3003424926d91", "bytes": 28584, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fphys.2022.926508", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9301186", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE17901", "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=GSE17901", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE17901", "version": null, "note": "The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM447065", "GSM447066", "GSM447067", "GSM447068", "GSM447069", "GSM447070", "GSM447071", "GSM447072", "GSM447073", "GSM447074", "GSM447075", "GSM447076", "GSM447077", "GSM447078", "GSM447079", "GSM447080", "GSM447081", "GSM447082", "GSM447083", "GSM447084", "GSM447085", "GSM447086", "GSM447087", "GSM447088", "GSM447089", "GSM447090", "GSM447091", "GSM447092", "GSM447093", "GSM447094", "GSM447095", "GSM447096", "GSM447097", "GSM447098", "GSM447099"], "sample_count": 35, "group_sizes": null, "group_sizes_basis": null, "platform": "4134", "taxon": "Mus musculus", "title": "Abdominal Aortic Aneurysm in the ApoE Knockout Mouse: Time Course of Control vs. Angiotensin II", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE98278", "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=GSE98278", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE98278", "version": null, "note": "The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2590370", "GSM2590371", "GSM2590372", "GSM2590373", "GSM2590374", "GSM2590375", "GSM2590376", "GSM2590377", "GSM2590378", "GSM2590379", "GSM2590380", "GSM2590381", "GSM2590382", "GSM2590383", "GSM2590384", "GSM2590385", "GSM2590386", "GSM2590387", "GSM2590388", "GSM2590389", "GSM2590390", "GSM2590391", "GSM2590392", "GSM2590393", "GSM2590394", "GSM2590395", "GSM2590396", "GSM2590397", "GSM2590398", "GSM2590399", "GSM2590400", "GSM2590401", "GSM2590402", "GSM2590403", "GSM2590404", "GSM2590405", "GSM2590406", "GSM2590407", "GSM2590408", "GSM2590409", "GSM2590410", "GSM2590411", "GSM2590412", "GSM2590413", "GSM2590414", "GSM2590415", "GSM2590416", "GSM2590417"], "sample_count": 48, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "A molecular fingerprint for terminal abdominal aortic aneurysm progression", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE17901 not downloaded", "asset:data:geo:GSE17901 licence not read", "asset:data:geo:GSE98278 not downloaded", "asset:data:geo:GSE98278 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": "The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups."}}, {"id": "method-2", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "GO enrichment"}}], "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": ["GSE98278", "GSE17901"], "resolved_accessions": ["GSE98278", "GSE17901"], "statements": ["The data analyzed in the study were obtained from GEO, accession number: GSE98278 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98278) and GSE17901 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17901)."], "basis": "The paper names GSE98278, GSE17901 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:35874515", "data:geo:GSE17901"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE17901"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:56:41Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 8515, "completion_tokens": 1170, "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:35874515", "type": "paper", "label": "pmid:35874515"}, {"id": "source:pmid:35874515", "type": "manuscript", "label": "PMID 35874515 full text"}, {"id": "data:geo:GSE17901", "type": "dataset", "label": "GEO GSE17901"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35874515", "type": "paper", "label": "pmid:35874515"}, {"id": "source:pmid:35874515", "type": "manuscript", "label": "PMID 35874515 full text"}, {"id": "data:geo:GSE17901", "type": "dataset", "label": "GEO GSE17901"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35874515", "type": "extraction", "used": ["source:pmid:35874515"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE17901", "type": "accession_resolution", "used": ["data:geo:GSE17901"], "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:35874515", "parent_hash": "sha256:fd79441e35c815fe1a4872d3af41dad9d32466cee711c74fa02719b79ce342a4", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE17901 licence not read", "asset:data:geo:GSE17901 not downloaded", "asset:data:geo:GSE98278 licence not read", "asset:data:geo:GSE98278 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["idate genes, validation was conducted on the mouse dataset GSE17901. Finally, we predicted drug"], "order_basis": "paper_text_order:922", "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": ["The R package limma (version 3.3.3) was used to identify differentially expressed genes (DEGs) between eAAA and rAAA and between the high and low hypoxia score groups."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}