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

pmid:38883702

Preliminary Analysis of Aging-Related Genes in Intracerebral Hemorrhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.

Qianfeng Li · Bo Wang · Jun Yang · Yuan Wang · Faliang Duan · Ming Luo · Chungang Zhao · Wei Wei · Lei Wang · Sha Liu

International journal of general medicine · 2024 doi:10.2147/IJGM.S457480

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:38883702
kind
science-record
content_hash
sha256:13d2cc19f27bac7297f867cf0f9d9392005a5bb238500f5fe2c7ae48084b5608
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:28:57Z
updated_at
2026-11-01T22:54:30Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Preliminary Analysis of Aging-Related Genes in Intracerebral Hemorrhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.
doi
10.2147/IJGM.S457480
pmid
38883702
authors array · 10 items
[0]
Qianfeng Li
[1]
Bo Wang
[2]
Jun Yang
[3]
Yuan Wang
[4]
Faliang Duan
[5]
Ming Luo
[6]
Chungang Zhao
[7]
Wei Wei
[8]
Lei Wang
[9]
Sha Liu
journal
International journal of general medicine
year
2024
abstract
Background: Aging is recognized as the key risk for intracerebral hemorrhage (ICH). The detailed mechanisms of aging in ICH warrant exploration. This study aimed to identify potential aging-related genes associated with ICH. Methods: ICH-specific aging-related genes were determined by the intersection of differentially expressed genes (DEGs) between perihematomal tissues and corresponding contralateral parts of four patients with ICH (GSE24265) and 349 aging-related genes obtained from the Aging Atlas database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) analyses were performed to identify the potential biological functions and pathways in which these ICH-specific aging-related genes may be involved. Then, PPI network was established to identify the hub genes of ICH-specific aging-related genes. Meanwhile, miRNA-mRNA and transcription factor (TF)-mRNA regulatory networks were constructed to further explore the ICH-specific aging-related genes regulation. The relationship between these hub genes and immune infiltration was also further explored. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to locate the hub genes in different cell types. Besides, expression levels of the hub genes were validated using clinical samples from our institute and another GEO dataset (GSE206971). Results: This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes. The results of GO and KEGG suggested that the ICH-specific aging-related genes mainly enriched in immunity and inflammation-related pathways, suggesting that aging may affect the ich pathogenesis by regulating inflammatory and immune-related pathways. Conclusion: Our study revealed 24 ICH-specific aging-related genes and their functions highly pertinent to ICH pathogenesis, providing new insights into the impact of aging on ICH.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The Limma package30 was used to perform the analysis of differential expression.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38883702
locator
sections[4] "Different Expression Analysis" paragraph 2
quote
The Limma package30 was used to perform the analysis of differential expression.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38883702
locator
sections[25] "Data Sharing Statement" paragraph 2
quote
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38883702
locator
sections[0] "Abstract" paragraph 3
quote
This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes.
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:38883702
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:GSE167593
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:GSE167593
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 4 items
[0] object · 15 fields
id
source:pmid:38883702
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.2147/IJGM.S457480
sha256
sha256:d07d93299da069b3e5c9dc3af1aee3defe6dfa1b477b30a6a9731847f432ccd8
bytes
38742
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.2147/IJGM.S457480
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
PMC11180471
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE167593
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=GSE167593
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE167593
version
null
note
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
access_statement_kind
data_availability_statement
sample_accessions array · 3 items
[0]
GSM5111158
[1]
GSM5111159
[2]
GSM5111160
sample_count
3
group_sizes
null
group_sizes_basis
null
platform
24247
taxon
Mus musculus
title
Single-Cell RNA-Seq reveals cellualr heterogeneity and gene expression difference between ischemic and hemorrhagic stroke brain
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE206971
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=GSE206971
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE206971
version
null
note
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
access_statement_kind
data_availability_statement
sample_accessions array · 9 items
[0]
GSM6267452
[1]
GSM6267453
[2]
GSM6267454
[3]
GSM6267455
[4]
GSM6267456
[5]
GSM6267457
[6]
GSM6267458
[7]
GSM6267459
[8]
GSM6267460
sample_count
9
group_sizes
null
group_sizes_basis
null
platform
24247
taxon
Mus musculus
title
Next generation sequence of RNA in hematoma basal ganglia tissue of ICH mice model
resolution_checked_at
2026-11-01T19:09:46Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE24265
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=GSE24265
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE24265
version
null
note
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
access_statement_kind
data_availability_statement
sample_accessions array · 11 items
[0]
GSM596842
[1]
GSM596843
[2]
GSM596844
[3]
GSM596845
[4]
GSM596846
[5]
GSM596847
[6]
GSM596848
[7]
GSM596849
[8]
GSM596850
[9]
GSM596851
[10]
GSM596852
sample_count
11
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from human brain samples
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE167593 not downloaded
[1]
asset:data:geo:GSE167593 licence not read
[2]
asset:data:geo:GSE206971 not downloaded
[3]
asset:data:geo:GSE206971 licence not read
[4]
asset:data:geo:GSE24265 not downloaded
[5]
asset:data:geo:GSE24265 licence not read
analysis object · 4 fields
state
partial
methods array · 4 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 Limma package30 was used to perform the analysis of differential expression.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Pearson correlation
[3] object · 10 fields
id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
PPI
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 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 · 3 items
[0]
GSE24265
[1]
GSE206971
[2]
GSE167593
resolved_accessions array · 3 items
[0]
GSE24265
[1]
GSE206971
[2]
GSE167593
statements array · 1 item
[0]
The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.
basis
The paper names GSE24265, GSE206971, GSE167593 in Gene Expression Omnibus 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:38883702
[1]
data:geo:GSE167593
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:GSE167593
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
2026-11-01T19:21:24Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11323
completion_tokens
1613
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:38883702
type
paper
label
pmid:38883702
[1] object · 3 fields
id
source:pmid:38883702
type
manuscript
label
PMID 38883702 full text
[2] object · 3 fields
id
data:geo:GSE167593
type
dataset
label
GEO GSE167593
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:38883702
type
paper
label
pmid:38883702
[1] object · 3 fields
id
source:pmid:38883702
type
manuscript
label
PMID 38883702 full text
[2] object · 3 fields
id
data:geo:GSE167593
type
dataset
label
GEO GSE167593
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38883702
type
extraction
used array · 1 item
[0]
source:pmid:38883702
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE167593
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE167593
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:38883702
parent_hash
sha256:0cbe34f41d843b62f99cd692b99b28bc3602b05a7ee4a3a9898877c0f827c7a0
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE167593 licence not read
[1]
asset:data:geo:GSE167593 not downloaded
[2]
asset:data:geo:GSE206971 licence not read
[3]
asset:data:geo:GSE206971 not downloaded
[4]
asset:data:geo:GSE24265 licence not read
[5]
asset:data:geo:GSE24265 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 4 items
[0] object · 11 fields
role
data_generation
definition_id
scrna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
unsupported
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
rebral Hemorrhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.
[1]
ration was also further explored. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to
[2]
ed. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to locate the hub genes
order_basis
paper_text_order:54
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
rhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.
[1]
lso further explored. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to
order_basis
paper_text_order:66
id
assay:2
[2] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.85
evidence array · 1 item
[0]
sed for statistical significance analysis of IHC result of normal control and ICH groups. The
order_basis
paper_text_order:2429
id
assay:3
[3] 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 Limma package30 was used to perform the analysis of differential expression.
order_basis
consumes_earlier_output
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38883702", "kind": "science-record", "revision": 4, "content_hash": "sha256:13d2cc19f27bac7297f867cf0f9d9392005a5bb238500f5fe2c7ae48084b5608", "created_at": "2026-11-01T20:28:57Z", "updated_at": "2026-11-01T22:54:30Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Preliminary Analysis of Aging-Related Genes in Intracerebral Hemorrhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.", "doi": "10.2147/IJGM.S457480", "pmid": "38883702", "authors": ["Qianfeng Li", "Bo Wang", "Jun Yang", "Yuan Wang", "Faliang Duan", "Ming Luo", "Chungang Zhao", "Wei Wei", "Lei Wang", "Sha Liu"], "journal": "International journal of general medicine", "year": 2024, "abstract": "Background: Aging is recognized as the key risk for intracerebral hemorrhage (ICH). The detailed mechanisms of aging in ICH warrant exploration. This study aimed to identify potential aging-related genes associated with ICH.\nMethods: ICH-specific aging-related genes were determined by the intersection of differentially expressed genes (DEGs) between perihematomal tissues and corresponding contralateral parts of four patients with ICH (GSE24265) and 349 aging-related genes obtained from the Aging Atlas database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) analyses were performed to identify the potential biological functions and pathways in which these ICH-specific aging-related genes may be involved. Then, PPI network was established to identify the hub genes of ICH-specific aging-related genes. Meanwhile, miRNA-mRNA and transcription factor (TF)-mRNA regulatory networks were constructed to further explore the ICH-specific aging-related genes regulation. The relationship between these hub genes and immune infiltration was also further explored. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to locate the hub genes in different cell types. Besides, expression levels of the hub genes were validated using clinical samples from our institute and another GEO dataset (GSE206971).\nResults: This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes. The results of GO and KEGG suggested that the ICH-specific aging-related genes mainly enriched in immunity and inflammation-related pathways, suggesting that aging may affect the ich pathogenesis by regulating inflammatory and immune-related pathways.\nConclusion: Our study revealed 24 ICH-specific aging-related genes and their functions highly pertinent to ICH pathogenesis, providing new insights into the impact of aging on ICH.", "claims": [{"id": "claim-method", "statement": "The Limma package30 was used to perform the analysis of differential expression.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38883702", "locator": "sections[4] \"Different Expression Analysis\" paragraph 2", "quote": "The Limma package30 was used to perform the analysis of differential expression."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38883702", "locator": "sections[25] \"Data Sharing Statement\" paragraph 2", "quote": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38883702", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "This study identified 24 ICH-specific aging-related genes, including 22 up-regulated and 2 down-regulated genes.", "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:38883702"], "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:GSE167593"], "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:GSE167593"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38883702", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/IJGM.S457480", "sha256": "sha256:d07d93299da069b3e5c9dc3af1aee3defe6dfa1b477b30a6a9731847f432ccd8", "bytes": 38742, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/IJGM.S457480", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11180471", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE167593", "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=GSE167593", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE167593", "version": null, "note": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM5111158", "GSM5111159", "GSM5111160"], "sample_count": 3, "group_sizes": null, "group_sizes_basis": null, "platform": "24247", "taxon": "Mus musculus", "title": "Single-Cell RNA-Seq reveals cellualr heterogeneity and gene expression difference between ischemic and hemorrhagic stroke brain", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE206971", "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=GSE206971", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE206971", "version": null, "note": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM6267452", "GSM6267453", "GSM6267454", "GSM6267455", "GSM6267456", "GSM6267457", "GSM6267458", "GSM6267459", "GSM6267460"], "sample_count": 9, "group_sizes": null, "group_sizes_basis": null, "platform": "24247", "taxon": "Mus musculus", "title": "Next generation sequence of RNA in hematoma basal ganglia tissue of ICH mice model", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE24265", "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=GSE24265", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE24265", "version": null, "note": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM596842", "GSM596843", "GSM596844", "GSM596845", "GSM596846", "GSM596847", "GSM596848", "GSM596849", "GSM596850", "GSM596851", "GSM596852"], "sample_count": 11, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Expression data from human brain samples", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE167593 not downloaded", "asset:data:geo:GSE167593 licence not read", "asset:data:geo:GSE206971 not downloaded", "asset:data:geo:GSE206971 licence not read", "asset:data:geo:GSE24265 not downloaded", "asset:data:geo:GSE24265 licence not read"]}, "analysis": {"state": "partial", "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 Limma package30 was used to perform the analysis of differential expression."}}, {"id": "method-2", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-3", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson correlation"}}, {"id": "method-4", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "PPI"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["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": ["GSE24265", "GSE206971", "GSE167593"], "resolved_accessions": ["GSE24265", "GSE206971", "GSE167593"], "statements": ["The gene expression profiles used in this study are available in the Gene Expression Omnibus (GSE24265, GEO Accession viewer (nih.gov); GSE167593, GEO Accession viewer (nih.gov); GSE206971, GEO Accession viewer (nih.gov)). The results generated during the present study are available from the corresponding author on request."], "basis": "The paper names GSE24265, GSE206971, GSE167593 in Gene Expression Omnibus 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:38883702", "data:geo:GSE167593"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE167593"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:21:24Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11323, "completion_tokens": 1613, "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:38883702", "type": "paper", "label": "pmid:38883702"}, {"id": "source:pmid:38883702", "type": "manuscript", "label": "PMID 38883702 full text"}, {"id": "data:geo:GSE167593", "type": "dataset", "label": "GEO GSE167593"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38883702", "type": "paper", "label": "pmid:38883702"}, {"id": "source:pmid:38883702", "type": "manuscript", "label": "PMID 38883702 full text"}, {"id": "data:geo:GSE167593", "type": "dataset", "label": "GEO GSE167593"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38883702", "type": "extraction", "used": ["source:pmid:38883702"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE167593", "type": "accession_resolution", "used": ["data:geo:GSE167593"], "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:38883702", "parent_hash": "sha256:0cbe34f41d843b62f99cd692b99b28bc3602b05a7ee4a3a9898877c0f827c7a0", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE167593 licence not read", "asset:data:geo:GSE167593 not downloaded", "asset:data:geo:GSE206971 licence not read", "asset:data:geo:GSE206971 not downloaded", "asset:data:geo:GSE24265 licence not read", "asset:data:geo:GSE24265 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "scrna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "unsupported", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["rebral Hemorrhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.", "ration was also further explored. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to", "ed. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to locate the hub genes"], "order_basis": "paper_text_order:54", "id": "assay:1"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["rhage by Integration of Bulk and Single-Cell RNA Sequencing Technology.", "lso further explored. Additional single-cell RNA-seq analysis (scRNA-seq, GSE167593) was used to"], "order_basis": "paper_text_order:66", "id": "assay:2"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.85, "evidence": ["sed for statistical significance analysis of IHC result of normal control and ICH groups. The"], "order_basis": "paper_text_order:2429", "id": "assay:3"}, {"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 Limma package30 was used to perform the analysis of differential expression."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}