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pmid:41286044

Identification of potential biomarkers associated with cellular senescence in benign prostatic hyperplasia.

Lei Zhou · Xiao Zhong · Dan Hu · Guoqian Hu · Chao Li · Shuo Tan · Wei Xiong · Lan Li · Jin Tang

Scientific reports · 2025 doi:10.1038/s41598-025-25734-6

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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title
Identification of potential biomarkers associated with cellular senescence in benign prostatic hyperplasia.
doi
10.1038/s41598-025-25734-6
pmid
41286044
authors array · 9 items
[0]
Lei Zhou
[1]
Xiao Zhong
[2]
Dan Hu
[3]
Guoqian Hu
[4]
Chao Li
[5]
Shuo Tan
[6]
Wei Xiong
[7]
Lan Li
[8]
Jin Tang
journal
Scientific reports
year
2025
abstract
Benign prostatic hyperplasia (BPH) is a prevalent condition among aging men, characterized by prostate enlargement and urinary symptoms. Despite its common occurrence, the molecular mechanisms, particularly those related to cellular senescence, are not well understood. This study aims to pinpoint and analyze cellular senescence-related differentially expressed genes (CSRDEGs) in BPH. We integrated data from GEO datasets GSE119195 and GSE7307, addressing batch effects to ensure data reliability. Differential gene expression analysis revealed key CSRDEGs, which were further analyzed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, highlighting their involvement in significant biological processes and pathways such as inflammation, cell cycle regulation, and extracellular matrix organization. Protein-protein interaction networks were constructed, and hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, were determined and analyzed for their diagnostic potential through receiver operating characteristic curve analysis. Regulatory network analyses of these hub genes exhibited intricate mRNA-miRNA and mRNA-TF interactions, providing insights into post-transcriptional and transcriptional regulation mechanisms. Our findings underscore the crucial role of cellular senescence in BPH pathogenesis and propose novel biomarkers and therapeutic targets. This study enhances our understanding of BPH at the molecular level, offering a foundation for future research aimed at improving diagnosis and treatment.
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Group comparisons were conducted using the Wilcoxon Rank Sum Test.
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sections[14] "Statistical analysis" paragraph 2
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Group comparisons were conducted using the Wilcoxon Rank Sum Test.
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Data will be made available upon reasonable request. For inquiries regarding the data from this study, please contact Jin Tang at ajin530@139.com.
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Data will be made available upon reasonable request. For inquiries regarding the data from this study, please contact Jin Tang at ajin530@139.com.
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We determined key hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, which play pivotal roles in cellular senescence and have potential as diagnostic biomarkers.
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sections[24] "Discussion" paragraph 3
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We determined key hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, which play pivotal roles in cellular senescence and have potential as diagnostic biomarkers.
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We determined key hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, which play pivotal roles in cellular senescence and have potential as diagnostic biomarkers.
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Expression data from benign prostatic hyperplasia samples and normal controls
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[527]
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[532]
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[537]
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sample_count
677
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Human body index - transcriptional profiling
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:GSE119195 not downloaded
[1]
asset:data:geo:GSE119195 licence not read
[2]
asset:data:geo:GSE7307 not downloaded
[3]
asset:data:geo:GSE7307 licence not read
analysis object · 4 fields
state
partial
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[0] object · 10 fields
id
method-1
family
group_comparison
specific
wilcoxon
label
Group comparison
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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
1
band
verbatim
quote
Group comparisons were conducted using the Wilcoxon Rank Sum Test.
[1] object · 10 fields
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method-2
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principal_component_analysis
specific
pca
label
Principal component analysis
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[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
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high
quote
Principal Component Analysis
[2] object · 10 fields
id
method-3
family
differential_expression
specific
limma_voom
label
Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 1 field
log2fc_threshold
essed genes (DEGs) with logFC > 0
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
limma
[3] object · 10 fields
id
method-4
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correlation_analysis
specific
spearman
label
Correlation analysis
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[0]
spearman_rho
missing_operations array · 0 items
parameters object · 1 field
p_value
significance defined as p value < 0
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Spearman correlation
[4] object · 10 fields
id
method-5
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network_analysis
specific
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label
Network / pathway analysis
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[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
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medium
quote
Protein-protein interaction
[5] object · 10 fields
id
method-6
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
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[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
[6] object · 10 fields
id
method-7
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diagnostic_evaluation
specific
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label
Diagnostic test evaluation
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[0]
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[1]
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[2]
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[3]
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[4]
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[5]
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missing_operations array · 0 items
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[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
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high
quote
ROC curve
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gaps array · 1 item
[0]
method.group_comparison_wilcoxon
capability object · 3 fields
state
complete
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[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]
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[4]
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[5]
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[6]
network_analysis
[7]
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[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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state
complete
tier
R1
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nothing:replicable_now
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method object · 5 fields
tier
R1
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false
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missing_operations array · 1 item
[0]
group_comparison_wilcoxon
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon.
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]
GSE119195
[1]
GSE7307
resolved_accessions array · 2 items
[0]
GSE119195
[1]
GSE7307
statements array · 1 item
[0]
Data will be made available upon reasonable request. For inquiries regarding the data from this study, please contact Jin Tang at ajin530@139.com.
basis
The paper names GSE119195, GSE7307 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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assets array · 2 items
[0]
source:pmid:41286044
[1]
data:geo:GSE119195
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operation
group_comparison_wilcoxon
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null
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[0]
data:geo:GSE119195
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
2026-11-01T20:06:31Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
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12835
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1443
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264
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[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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[1]
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[2]
review.human_critique
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absent
status
not_run
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null
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gaps array · 1 item
[0]
execution.not_run
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[0] object · 3 fields
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pmid:41286044
type
paper
label
pmid:41286044
[1] object · 3 fields
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source:pmid:41286044
type
manuscript
label
PMID 41286044 full text
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id
data:geo:GSE119195
type
dataset
label
GEO GSE119195
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[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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pmid:41286044
type
paper
label
pmid:41286044
[1] object · 3 fields
id
source:pmid:41286044
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manuscript
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PMID 41286044 full text
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id
data:geo:GSE119195
type
dataset
label
GEO GSE119195
agent
agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-41286044
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extraction
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[0]
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE119195
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accession_resolution
used array · 1 item
[0]
data:geo:GSE119195
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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software
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agent:minimax-reader
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software
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MiniMax literature reader
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343fb30756ba6ec3
capability_table_fingerprint
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lineage object · 4 fields
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sha256:95bc328da49da0254cf0f139507623237c969bbf931e39a22fa7414ed3617ea8
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[1]
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[2]
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[3]
asset:data:geo:GSE7307 not downloaded
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[6]
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[7]
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[9]
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[0] object · 11 fields
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data_generation
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99e1195c7d6f
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partial
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99e1195c7d6f
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0.93
evidence array · 1 item
[0]
he cellular morphology and size were normal; immunohistochemistry showed that tumor markers P504s and PMSA wer
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paper_text_order:3086
id
assay:1
[1] object · 11 fields
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partial
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dsl_catalogue
f2132e96ae6c7a4e
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Group comparisons were conducted using the Wilcoxon Rank Sum Test.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41286044", "kind": "science-record", "revision": 3, "content_hash": "sha256:5858fce1884ae10fdf3cd8fc93bec30ed536ea70b86904b30d636e9266b81320", "created_at": "2026-11-01T20:31:19Z", "updated_at": "2026-11-01T22:15:03Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential biomarkers associated with cellular senescence in benign prostatic hyperplasia.", "doi": "10.1038/s41598-025-25734-6", "pmid": "41286044", "authors": ["Lei Zhou", "Xiao Zhong", "Dan Hu", "Guoqian Hu", "Chao Li", "Shuo Tan", "Wei Xiong", "Lan Li", "Jin Tang"], "journal": "Scientific reports", "year": 2025, "abstract": "Benign prostatic hyperplasia (BPH) is a prevalent condition among aging men, characterized by prostate enlargement and urinary symptoms. Despite its common occurrence, the molecular mechanisms, particularly those related to cellular senescence, are not well understood. This study aims to pinpoint and analyze cellular senescence-related differentially expressed genes (CSRDEGs) in BPH. We integrated data from GEO datasets GSE119195 and GSE7307, addressing batch effects to ensure data reliability. Differential gene expression analysis revealed key CSRDEGs, which were further analyzed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, highlighting their involvement in significant biological processes and pathways such as inflammation, cell cycle regulation, and extracellular matrix organization. Protein-protein interaction networks were constructed, and hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, were determined and analyzed for their diagnostic potential through receiver operating characteristic curve analysis. Regulatory network analyses of these hub genes exhibited intricate mRNA-miRNA and mRNA-TF interactions, providing insights into post-transcriptional and transcriptional regulation mechanisms. Our findings underscore the crucial role of cellular senescence in BPH pathogenesis and propose novel biomarkers and therapeutic targets. This study enhances our understanding of BPH at the molecular level, offering a foundation for future research aimed at improving diagnosis and treatment.", "claims": [{"id": "claim-method", "statement": "Group comparisons were conducted using the Wilcoxon Rank Sum Test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41286044", "locator": "sections[14] \"Statistical analysis\" paragraph 2", "quote": "Group comparisons were conducted using the Wilcoxon Rank Sum Test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data will be made available upon reasonable request. For inquiries regarding the data from this study, please contact Jin Tang at ajin530@139.com.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41286044", "locator": "sections[28] \"Data availability\" paragraph 2", "quote": "Data will be made available upon reasonable request. For inquiries regarding the data from this study, please contact Jin Tang at ajin530@139.com."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We determined key hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, which play pivotal roles in cellular senescence and have potential as diagnostic biomarkers.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41286044", "locator": "sections[24] \"Discussion\" paragraph 3", "quote": "We determined key hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, which play pivotal roles in cellular senescence and have potential as diagnostic biomarkers."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "We determined key hub genes, including IGF1, SOX2, ID1, WNT2, LGALS3, and KL, which play pivotal roles in cellular senescence and have potential as diagnostic biomarkers.", "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:41286044"], "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. 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