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pmid:31531373

Identification of Key Pathways and Genes of Acute Respiratory Distress Syndrome Specific Neutrophil Phenotype.

Dong Wang · Yajuan Li · Changping Gu · Mengjie Liu · Yuelan Wang

BioMed research international · 2019 doi:10.1155/2019/9528584

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:31531373
kind
science-record
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sha256:b98bcf330cfe7472f3abde4f3123f1b66f2ef315a57a5a56d69abad5d5c196eb
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created_at
2026-11-01T15:40:49Z
updated_at
2026-11-01T22:44:12Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
Identification of Key Pathways and Genes of Acute Respiratory Distress Syndrome Specific Neutrophil Phenotype.
doi
10.1155/2019/9528584
pmid
31531373
authors array · 5 items
[0]
Dong Wang
[1]
Yajuan Li
[2]
Changping Gu
[3]
Mengjie Liu
[4]
Yuelan Wang
journal
BioMed research international
year
2019
abstract
Despite over 50 years of clinical and basic studies, acute respiratory distress syndrome (ARDS) is still a critical challenge with high mortality worldwide. The severity of neutrophil activation was associated with disease severity. However, the detailed pathophysiology of the circulating polymorphonuclear neutrophil activation in ARDS remains unclear. To identify key pathways and genes in the ARDS-specific neutrophil phenotype distinct from sepsis, the datasets of blood polymorphonuclear neutrophils (PMNs) from patients with ARDS (GSE76293) and from sepsis patients (GSE49757) were chosen from the Gene Expression Omnibus (GEO) and analyzed using bioinformatics methods. A total of 220 differential expressed genes (DEGs) were overlapped between GSE49757 and GSE76293 in a Venn diagram. Pathway enrichment analysis results showed that DEGs in GSE76293 were mainly enriched in the MAPK signaling pathway, FoxO signaling pathway, and AMPK signaling pathway relative to GSE49757. We identified 30 hub genes in the protein-protein interaction network. By comparing with GSE49757, we speculated that GAPDH, MAPK8, PIK3CB, and MMP9 may play important roles in the progression of ARDS-specific circulating neutrophil activation. The findings may provide novel insights into the development of promising targets for the diagnosis and treatment of ARDS in the future.
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DEGs were identified using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an online tool based on the GEOquery and Limma R packages [12].
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methodological
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null
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sections[4] "2.2. Identification of DEGs" paragraph 2
quote
DEGs were identified using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an online tool based on the GEOquery and Limma R packages [12].
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complete
[1] object · 6 fields
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The data used to support the findings of this study are available from the corresponding author upon request.
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sections[19] "Data Availability" paragraph 2
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The data used to support the findings of this study are available from the corresponding author upon request.
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The claim, method and evidence span published with the source article.
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the published estimate and its evidence
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https://doi.org/10.1155/2019/9528584
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The data used to support the findings of this study are available from the corresponding author upon request.
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GEO accession URL
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[51]
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[53]
GSM1206640
[54]
GSM1206641
[55]
GSM1206642
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56
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null
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null
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10558
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Homo sapiens
title
A Transcriptomic Reporter Assay Employing Neutrophils to Measure Immunogenic Activity of Septic Patients' Plasma (Expt. 3)
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2026-11-01T15:39:54Z
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[2] object · 15 fields
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The data used to support the findings of this study are available from the corresponding author upon request.
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The data used to support the findings of this study are available from the corresponding author upon request.
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GSM1979248
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GSM1979260
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[52]
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GSM1979293
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[56]
GSM1979296
[57]
GSM1979297
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[59]
GSM1979299
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GSM1979300
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GSM1979301
[62]
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[63]
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GSM1979304
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[68]
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[70]
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GSM1979311
[72]
GSM1979312
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[75]
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[77]
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[79]
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[80]
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94
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null
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null
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570
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Homo sapiens
title
Neutrophils from ARDS patients and healthy volunteers, and healthy volunteer samples treated with PI3K inhibitors
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2026-11-01T15:39:55Z
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The top 30 hub genes of the PPI network in GSE76293. logFC: log2 fold change between two experimental conditions. adj.P.Val: p value after adjustment for multiple testing.
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PMC6720049
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13
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3.3. PPI Network Analysis
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4
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Table 1
caption
The top 30 hub genes of the PPI network in GSE76293. logFC: log2 fold change between two experimental conditions. adj.P.Val: p value after adjustment for multiple testing.
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[0] array · 4 items
[0]
Gene symbol
[1]
Degree
[2]
logFC
[3]
adj.P.Val
[1] array · 4 items
[0]
GAPDH
[1]
106
[2]
1.28
[3]
2.69E-06
[2] array · 4 items
[0]
AKT1
[1]
105
[2]
-1.23
[3]
6.93E-05
[3] array · 4 items
[0]
RIPK4
[1]
102
[2]
-1.62
[3]
3.42E-04
[4] array · 4 items
[0]
TOP2A
[1]
87
[2]
0.97
[3]
3.44E-03
[5] array · 4 items
[0]
MAPK14
[1]
69
[2]
1.50
[3]
1.74E-07
[6] array · 4 items
[0]
MAPK8
[1]
68
[2]
-0.97
[3]
2.15E-03
[7] array · 4 items
[0]
CXCL8
[1]
67
[2]
-2.12
[3]
1.97E-03
[8] array · 4 items
[0]
SMARCA4
[1]
66
[2]
-0.62
[3]
7.63E-03
[9] array · 4 items
[0]
PIK3CB
[1]
60
[2]
0.65
[3]
3.56E-03
[10] array · 4 items
[0]
APP
[1]
55
[2]
1.37
[3]
4.14E-03
[11] array · 4 items
[0]
CREB1
[1]
51
[2]
-0.68
[3]
6.18E-03
[12] array · 4 items
[0]
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[1]
47
[2]
0.95
[3]
5.29E-05
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[0]
CD44
[1]
43
[2]
1.82
[3]
2.85E-06
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[0]
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42
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0.97
[3]
1.66E-05
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39
[2]
-1.47
[3]
5.15E-03
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39
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-0.68
[3]
2.36E-03
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37
[2]
0.69
[3]
2.75E-04
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[0]
BCL2L1
[1]
37
[2]
0.84
[3]
3.26E-03
[19] array · 4 items
[0]
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[1]
36
[2]
-0.69
[3]
5.53E-03
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[0]
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35
[2]
-0.69
[3]
2.77E-03
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35
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-0.72
[3]
8.75E-04
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34
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0.79
[3]
5.92E-05
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[1]
34
[2]
-0.78
[3]
3.66E-03
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[1]
33
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-2.10
[3]
1.08E-05
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[0]
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32
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0.60
[3]
1.05E-04
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30
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0.89
[3]
6.48E-04
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29
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1.51E-03
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29
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6.52E-04
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section[13]/table-wrap[1]#tab1
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[0]
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asset:data:geo:GSE49757 licence not read
[2]
asset:data:geo:GSE76293 not downloaded
[3]
asset:data:geo:GSE76293 licence not read
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complete
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method-1
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differential_expression
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normalise_counts
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differential_expression_fit
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quote
DEGs were identified using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an online tool based on the GEOquery and Limma R packages [12].
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network_analysis
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build_graph
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centrality_scores
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pathway_enrich
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[0]
edge_list
evidence object · 3 fields
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0.7
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protein-protein interaction
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method-3
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network_analysis
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Network / pathway analysis
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pathway_enrich
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edge_list
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complete
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Automated Assays Laravel application and simulated adapters
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R1
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[0]
GSE76293
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GSE49757
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[0]
GSE76293
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GSE49757
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[0]
The data used to support the findings of this study are available from the corresponding author upon request.
basis
The paper names GSE76293, GSE49757 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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PMID 31531373 full text
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pmid:31531373
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id
source:pmid:31531373
type
manuscript
label
PMID 31531373 full text
[2] object · 3 fields
id
data:geo:GSE49757
type
dataset
label
GEO GSE49757
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31531373
type
extraction
used array · 1 item
[0]
source:pmid:31531373
agent
agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE49757
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accession_resolution
used array · 1 item
[0]
data:geo:GSE49757
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agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
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agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
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MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
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ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:31531373
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sha256:9af2f8e69dd117a49273d60698d40072ded0855bbb03fa5c48e322384e5d92e5
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE49757 licence not read
[1]
asset:data:geo:GSE49757 not downloaded
[2]
asset:data:geo:GSE76293 licence not read
[3]
asset:data:geo:GSE76293 not downloaded
[4]
execution.not_run
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review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
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differential_expression
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f2132e96ae6c7a4e
required_operations array · 3 items
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normalise_counts
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[2]
fdr_bh
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supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
DEGs were identified using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an online tool based on the GEOquery and Limma R packages [12].
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31531373", "kind": "science-record", "revision": 8, "content_hash": "sha256:b98bcf330cfe7472f3abde4f3123f1b66f2ef315a57a5a56d69abad5d5c196eb", "created_at": "2026-11-01T15:40:49Z", "updated_at": "2026-11-01T22:44:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Key Pathways and Genes of Acute Respiratory Distress Syndrome Specific Neutrophil Phenotype.", "doi": "10.1155/2019/9528584", "pmid": "31531373", "authors": ["Dong Wang", "Yajuan Li", "Changping Gu", "Mengjie Liu", "Yuelan Wang"], "journal": "BioMed research international", "year": 2019, "abstract": "Despite over 50 years of clinical and basic studies, acute respiratory distress syndrome (ARDS) is still a critical challenge with high mortality worldwide. The severity of neutrophil activation was associated with disease severity. However, the detailed pathophysiology of the circulating polymorphonuclear neutrophil activation in ARDS remains unclear. To identify key pathways and genes in the ARDS-specific neutrophil phenotype distinct from sepsis, the datasets of blood polymorphonuclear neutrophils (PMNs) from patients with ARDS (GSE76293) and from sepsis patients (GSE49757) were chosen from the Gene Expression Omnibus (GEO) and analyzed using bioinformatics methods. A total of 220 differential expressed genes (DEGs) were overlapped between GSE49757 and GSE76293 in a Venn diagram. Pathway enrichment analysis results showed that DEGs in GSE76293 were mainly enriched in the MAPK signaling pathway, FoxO signaling pathway, and AMPK signaling pathway relative to GSE49757. We identified 30 hub genes in the protein-protein interaction network. By comparing with GSE49757, we speculated that GAPDH, MAPK8, PIK3CB, and MMP9 may play important roles in the progression of ARDS-specific circulating neutrophil activation. The findings may provide novel insights into the development of promising targets for the diagnosis and treatment of ARDS in the future.", "claims": [{"id": "claim-method", "statement": "DEGs were identified using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an online tool based on the GEOquery and Limma R packages [12].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31531373", "locator": "sections[4] \"2.2. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE49757"], "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:GSE49757"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31531373", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2019/9528584", "sha256": 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