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pmid:34516357

Integrated weighted gene co-expression network analysis uncovers STAT1(signal transducer and activator of transcription 1) and IFI44L (interferon-induced protein 44-like) as key genes in pulmonary arterial hypertension.

Han Yang · Yang Lu · Hongmin Yang · Yaoxi Zhu · Yaohan Tang · Lixia Li · Changhu Liu · Jing Yuan

Bioengineered · 2021 doi:10.1080/21655979.2021.1972200

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34516357
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title
Integrated weighted gene co-expression network analysis uncovers STAT1(signal transducer and activator of transcription 1) and IFI44L (interferon-induced protein 44-like) as key genes in pulmonary arterial hypertension.
doi
10.1080/21655979.2021.1972200
pmid
34516357
authors array · 8 items
[0]
Han Yang
[1]
Yang Lu
[2]
Hongmin Yang
[3]
Yaoxi Zhu
[4]
Yaohan Tang
[5]
Lixia Li
[6]
Changhu Liu
[7]
Jing Yuan
journal
Bioengineered
year
2021
abstract
Despite the multiple diagnostic and therapeutic strategies implemented in clinical practice, the mortality rate of patients with pulmonary arterial hypertension (PAH) remains high. Understanding the mechanisms and key genes involved could provide insight into the drivers of the pathogenesis of PAH. In this research, we aimed to examine the mechanisms underlying PAH and identify key genes with potential usefulness as clinical biomarkers of PAH and thereby establish therapeutic targets for PAH. The datasets GSE117261, GSE113439, and GSE53408 were downloaded from the Gene Expression Omnibus (GEOs) database. We used weighted gene coexpression network analysis (WGCNA) to identify networks and the most relevant modules in PAH. Functional enrichment analysis was performed for the selected clinically relevant modules. The least absolute shrinkage and selection operator (LASSO) was applied to identify key genes in lung samples from patients with PAH. The genes were validated in a monocrotaline-induced PAH rat model. Three clinically relevant modules were identified through average linkage hierarchical clustering. The genes in the clinically relevant modules were related to endothelial cell differentiation, inflammation, and autoimmunity. Seven genes were screened as key genes significantly associated with PAH. Interferon-induced protein 44-like (IFI44L) and signal transducer and activator of transcription 1 (STAT1) were expressed at higher levels in the lung tissues of the PAH rat model than in those of the controls. Our findings reveal the novel pathological mechanisms underlying PAH and indicate that STAT1 and IFI44L may represent potential therapeutic targets in PAH.
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Gene expression profiling of pulmonary arterial hypertension
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Systems Analysis of the Human Pulmonary Arterial Hypertension Lung Transcriptome
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Lung tissues in systemic sclerosis have gene expression patterns unique to pulmonary fibrosis and pulmonary hypertension
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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:34516357
parent_hash
sha256:a3cd649588f127a05bcb76b29f0ceaf80c4f4e9abfd2a7587fcf3da240bc3374
fork_of
null
gaps array · 14 items
[0]
asset:data:geo:GSE113439 licence not read
[1]
asset:data:geo:GSE113439 not downloaded
[2]
asset:data:geo:GSE117261 licence not read
[3]
asset:data:geo:GSE117261 not downloaded
[4]
asset:data:geo:GSE48149 licence not read
[5]
asset:data:geo:GSE48149 not downloaded
[6]
asset:data:geo:GSE53408 licence not read
[7]
asset:data:geo:GSE53408 not downloaded
[8]
execution.not_run
[9]
method.group_comparison_wilcoxon
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
[13]
step:run_analysis blocked on method:group_comparison_wilcoxon
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
clinical_cohort
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]
in clinical practice, the mortality rate of patients with pulmonary arterial hypertension (PAH) remain
[1]
d to identify key genes in lung samples from patients with PAH. The genes were validated in a monocrota
order_basis
paper_text_order:291
id
assay:1
[1] 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
0.834
evidence array · 2 items
[0]
ere validated in a monocrotaline-induced PAH rat model. Three clinically relevant modules wer
[1]
higher levels in the lung tissues of the PAH rat model than in those of the controls. Our fin
order_basis
paper_text_order:1187
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The Wilcoxon method was used to analyze the variance, and the cutoff P value for the cell analyses was <0.05.
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34516357", "kind": "science-record", "revision": 8, "content_hash": "sha256:bb3b9e11f8f2770f5f5423328804bb72c3b35cba4ac0c0490deaf5dc9cf79b07", "created_at": "2026-11-01T15:41:51Z", "updated_at": "2026-11-01T22:04:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated weighted gene co-expression network analysis uncovers STAT1(signal transducer and activator of transcription 1) and IFI44L (interferon-induced protein 44-like) as key genes in pulmonary arterial hypertension.", "doi": "10.1080/21655979.2021.1972200", "pmid": "34516357", "authors": ["Han Yang", "Yang Lu", "Hongmin Yang", "Yaoxi Zhu", "Yaohan Tang", "Lixia Li", "Changhu Liu", "Jing Yuan"], "journal": "Bioengineered", "year": 2021, "abstract": "Despite the multiple diagnostic and therapeutic strategies implemented in clinical practice, the mortality rate of patients with pulmonary arterial hypertension (PAH) remains high. Understanding the mechanisms and key genes involved could provide insight into the drivers of the pathogenesis of PAH. In this research, we aimed to examine the mechanisms underlying PAH and identify key genes with potential usefulness as clinical biomarkers of PAH and thereby establish therapeutic targets for PAH. The datasets GSE117261, GSE113439, and GSE53408 were downloaded from the Gene Expression Omnibus (GEOs) database. We used weighted gene coexpression network analysis (WGCNA) to identify networks and the most relevant modules in PAH. Functional enrichment analysis was performed for the selected clinically relevant modules. The least absolute shrinkage and selection operator (LASSO) was applied to identify key genes in lung samples from patients with PAH. The genes were validated in a monocrotaline-induced PAH rat model. Three clinically relevant modules were identified through average linkage hierarchical clustering. The genes in the clinically relevant modules were related to endothelial cell differentiation, inflammation, and autoimmunity. Seven genes were screened as key genes significantly associated with PAH. Interferon-induced protein 44-like (IFI44L) and signal transducer and activator of transcription 1 (STAT1) were expressed at higher levels in the lung tissues of the PAH rat model than in those of the controls. Our findings reveal the novel pathological mechanisms underlying PAH and indicate that STAT1 and IFI44L may represent potential therapeutic targets in PAH.", "claims": [{"id": "claim-method", "statement": "The Wilcoxon method was used to analyze the variance, and the cutoff P value for the cell analyses was <0.05.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34516357", "locator": "sections[8] \"Evaluation of immune cell infiltration\" paragraph 2", "quote": "The Wilcoxon method was used to analyze the variance, and the cutoff P value for the cell analyses was <0.05."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Datasets GSE117261 [8] (58 patients with PAH and 25 controls), GSE113439 [9] (15 patients with PAH and 11 controls), and GSE53408 [10] (12 patients with PAH and 11 controls) were analyzed.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34516357", "locator": "sections[3] \"Data resources\" paragraph 2", "quote": "Datasets GSE117261 [8] (58 patients with PAH and 25 controls), GSE113439 [9] (15 patients with PAH and 11 controls), and GSE53408 [10] (12 patients with PAH and 11 controls) were analyzed."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "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:34516357"], "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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