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pmid:36713435

Activated autophagy of innate immune cells during the early stages of major trauma.

Deng Chen · Cong Zhang · Jialiu Luo · Hai Deng · Jingzhi Yang · Shunyao Chen · Peidong Zhang · Liming Dong · Teding Chang · Zhao-Hui Tang

Frontiers in immunology · 2022 doi:10.3389/fimmu.2022.1090358

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Experiment

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Data

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title
Activated autophagy of innate immune cells during the early stages of major trauma.
doi
10.3389/fimmu.2022.1090358
pmid
36713435
authors array · 10 items
[0]
Deng Chen
[1]
Cong Zhang
[2]
Jialiu Luo
[3]
Hai Deng
[4]
Jingzhi Yang
[5]
Shunyao Chen
[6]
Peidong Zhang
[7]
Liming Dong
[8]
Teding Chang
[9]
Zhao-Hui Tang
journal
Frontiers in immunology
year
2022
abstract
Background: Trauma-induced immune dysfunction has been a major barrier to achieving reduced mortality, which is poorly understood. Autophagy is a crucial catabolic mechanism of immune cells during times of stress. Few studies have investigated the immune regulatory effects induced by autophagy after trauma. Here, we use single-cell transcriptomics analysis in a major trauma cohort to demonstrate the dominant role of autophagy in innate immune cells during the early stages of major trauma. Method: Single-cell transcriptional profiling of peripheral blood mononuclear cells (PBMCs) was performed, which were sampled from three control participants and five major trauma patients within 6 hours of injury. In detail, after single-cell RNA-sequence data processing, cell type annotation and cluster marker identification were performed. A genetic toolbox with 604 autophagy-related genes was used to monitor the autophagy levels in immune cells. In addition, all transcriptome RNA sequencing data obtained from PBMCs in a cohort of 167 major trauma patients were downloaded from gene expression omnibus (GEO) datasets (GSE36809). Key deregulated biological processes and important autophagic hub genes involved in immune cells were identified by weighted gene co-expression network analysis and gene ontology enrichment analysis. Results: A total of 20,445 differentially expressed genes were identified and five co-expression modules were constructed. Enrichment analysis indicated that activated autophagy is the most important biological process during the early stages of major trauma, and JMY (autophagy-related genes) were identified as hub genes. The single-cell transcriptional profiling of PBMCs demonstrated that all components of adaptive immune cells were significantly decreased, whereas components of innate immune cells (monocytes and neutrophils) were significantly increased in major trauma patients compared with control participants. Activated autophagy was detected in monocytes and neutrophils by monitoring the dynamic transcriptional signature of the autophagy-related genetic toolbox. Biological process analysis shows that antigen uptake, processing presentation, and major histocompatibility complex (MHC) class II protein complex assembly pathways were up-regulated in autophagy-positive monocytes, whereas antigen processing and presentation of endogenous antigen and type I interferon signaling pathways were up-regulated in autophagy-positive neutrophils during the early stages of major trauma. Conclusion: Our study demonstrated that autophagy is a biological process crucial to the development of immune disorders in the early stages of major trauma. Furthermore, the results of our study generated a comprehensive single-cell immune landscape for major trauma patients, in which we determined that autophagy profoundly affects the main functions of innate immune cells and provides insight into the cellular basis of immune dysregulation after major trauma.
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Weighted gene co-expression network analysis (WGCNA) was performed to categorize DEGs into different gene modules, and 5 gene modules were randomly assigned color labels ( Figure 1D ).
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sections[16] "Autophagy: an essential biological process in immune cells’ response to trauma" paragraph 5
quote
Weighted gene co-expression network analysis (WGCNA) was performed to categorize DEGs into different gene modules, and 5 gene modules were randomly assigned color labels ( Figure 1D ).
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522.
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sections[25] "Data availability statement" paragraph 2
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522.
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Autophagy was significantly activated in monocytes and neutrophils during the early stages of major trauma.
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Our study demonstrated that autophagy is a biological process crucial to the development of immune disorders in the early stages of major trauma.
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Autophagy was significantly activated in monocytes and neutrophils during the early stages of major trauma.
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[690]
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[693]
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[696]
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[697]
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[700]
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[701]
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[702]
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[704]
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[705]
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sample_count
857
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
A genomic storm in critically injured humans
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 · 4 items
[0]
asset:data:geo:GSE197552 not downloaded
[1]
asset:data:geo:GSE197552 licence not read
[2]
asset:data:geo:GSE36809 not downloaded
[3]
asset:data:geo:GSE36809 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
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
[1] object · 10 fields
id
method-2
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[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
band
high
quote
Principal component analysis
[2] object · 10 fields
id
method-3
family
null
specific
null
label
Weighted gene co-expression network analysis (WGCNA)
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
Weighted gene co-expression network analysis (WGCNA) was performed to categorize DEGs into different gene modules, and 5 gene modules were randomly assigned color labels ( Figure 1D ).
targets array · 0 items
gaps array · 2 items
[0]
method.reader_named_unmapped
[1]
method.group_comparison_wilcoxon
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
false
required_operations array · 0 items
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]
GSE36809
[1]
GSE197552
resolved_accessions array · 2 items
[0]
GSE36809
[1]
GSE197552
statements array · 1 item
[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522.
basis
The paper names GSE36809, GSE197552 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 · 0 items
assets array · 2 items
[0]
source:pmid:36713435
[1]
data:geo:GSE197552
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
[0] object · 3 fields
operation
group_comparison_wilcoxon
priority
null
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE197552
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
2026-11-01T18:25:08Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11620
completion_tokens
1441
cached_tokens
264
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[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
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[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
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pmid:36713435
type
paper
label
pmid:36713435
[1] object · 3 fields
id
source:pmid:36713435
type
manuscript
label
PMID 36713435 full text
[2] object · 3 fields
id
data:geo:GSE197552
type
dataset
label
GEO GSE197552
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
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pmid:36713435
type
paper
label
pmid:36713435
[1] object · 3 fields
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source:pmid:36713435
type
manuscript
label
PMID 36713435 full text
[2] object · 3 fields
id
data:geo:GSE197552
type
dataset
label
GEO GSE197552
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36713435
type
extraction
used array · 1 item
[0]
source:pmid:36713435
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE197552
type
accession_resolution
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[0]
data:geo:GSE197552
agent
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
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id
agent:minimax-reader
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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:36713435
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sha256:1cad0f90e67ac75a2913c6f41000a5892bde568ca13635208b2ebe7e307f2de1
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE197552 licence not read
[1]
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[2]
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[3]
asset:data:geo:GSE36809 not downloaded
[4]
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[5]
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[6]
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[7]
review.human_critique
[8]
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[9]
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[10]
step:run_analysis blocked on method:group_comparison_wilcoxon
assays array · 3 items
[0] object · 11 fields
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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 · 4 items
[0]
uced by autophagy after trauma. Here, we use single-cell transcriptomics analysis in a major trauma cohort to demonst
[1]
e buffer solution (PBS) at room temperature. Single-cell RNA-seq data processing Raw data were aligned to the
[2]
lity of the datasets. To perform comparative scRNA-seq analysis across experimental conditions, the
[3]
analysis across experimental conditions, the scRNA-seq integration procedure was commenced by findi
order_basis
paper_text_order:361
id
assay:1
[1] object · 11 fields
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data_generation
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rna_seq
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99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
immune cells. In addition, all transcriptome RNA sequencing data obtained from PBMCs in a cohort of 167
[1]
ution (PBS) at room temperature. Single-cell RNA-seq data processing Raw data were aligned to the
[2]
phagy after trauma. Here, we use single-cell transcriptomics analysis in a major trauma cohort to demonst
[3]
agy levels in immune cells. In addition, all transcriptome RNA sequencing data obtained from PBMCs in a
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36713435", "kind": "science-record", "revision": 3, "content_hash": "sha256:6075557b7601841c71ba101ab546d2df9a4fa8504912c6e3b3099d069096af69", "created_at": "2026-11-01T19:01:16Z", "updated_at": "2026-11-01T22:08:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Activated autophagy of innate immune cells during the early stages of major trauma.", "doi": "10.3389/fimmu.2022.1090358", "pmid": "36713435", "authors": ["Deng Chen", "Cong Zhang", "Jialiu Luo", "Hai Deng", "Jingzhi Yang", "Shunyao Chen", "Peidong Zhang", "Liming Dong", "Teding Chang", "Zhao-Hui Tang"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "Background: Trauma-induced immune dysfunction has been a major barrier to achieving reduced mortality, which is poorly understood. Autophagy is a crucial catabolic mechanism of immune cells during times of stress. Few studies have investigated the immune regulatory effects induced by autophagy after trauma. Here, we use single-cell transcriptomics analysis in a major trauma cohort to demonstrate the dominant role of autophagy in innate immune cells during the early stages of major trauma.\nMethod: Single-cell transcriptional profiling of peripheral blood mononuclear cells (PBMCs) was performed, which were sampled from three control participants and five major trauma patients within 6 hours of injury. In detail, after single-cell RNA-sequence data processing, cell type annotation and cluster marker identification were performed. A genetic toolbox with 604 autophagy-related genes was used to monitor the autophagy levels in immune cells. In addition, all transcriptome RNA sequencing data obtained from PBMCs in a cohort of 167 major trauma patients were downloaded from gene expression omnibus (GEO) datasets (GSE36809). Key deregulated biological processes and important autophagic hub genes involved in immune cells were identified by weighted gene co-expression network analysis and gene ontology enrichment analysis.\nResults: A total of 20,445 differentially expressed genes were identified and five co-expression modules were constructed. Enrichment analysis indicated that activated autophagy is the most important biological process during the early stages of major trauma, and JMY (autophagy-related genes) were identified as hub genes. The single-cell transcriptional profiling of PBMCs demonstrated that all components of adaptive immune cells were significantly decreased, whereas components of innate immune cells (monocytes and neutrophils) were significantly increased in major trauma patients compared with control participants. Activated autophagy was detected in monocytes and neutrophils by monitoring the dynamic transcriptional signature of the autophagy-related genetic toolbox. Biological process analysis shows that antigen uptake, processing presentation, and major histocompatibility complex (MHC) class II protein complex assembly pathways were up-regulated in autophagy-positive monocytes, whereas antigen processing and presentation of endogenous antigen and type I interferon signaling pathways were up-regulated in autophagy-positive neutrophils during the early stages of major trauma.\nConclusion: Our study demonstrated that autophagy is a biological process crucial to the development of immune disorders in the early stages of major trauma. Furthermore, the results of our study generated a comprehensive single-cell immune landscape for major trauma patients, in which we determined that autophagy profoundly affects the main functions of innate immune cells and provides insight into the cellular basis of immune dysregulation after major trauma.", "claims": [{"id": "claim-method", "statement": "Weighted gene co-expression network analysis (WGCNA) was performed to categorize DEGs into different gene modules, and 5 gene modules were randomly assigned color labels ( Figure 1D ).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36713435", "locator": "sections[16] \"Autophagy: an essential biological process in immune cells’ response to trauma\" paragraph 5", "quote": "Weighted gene co-expression network analysis (WGCNA) was performed to categorize DEGs into different gene modules, and 5 gene modules were randomly assigned color labels ( Figure 1D )."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36713435", "locator": "sections[25] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Autophagy was significantly activated in monocytes and neutrophils during the early stages of major trauma.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36713435", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our study demonstrated that autophagy is a biological process crucial to the development of immune disorders in the early stages of major trauma."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Autophagy was significantly activated in monocytes and neutrophils during the early stages of major trauma.", "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:36713435"], "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:GSE197552"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE197552"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36713435", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fimmu.2022.1090358", "sha256": "sha256:ecbbc84c340e7b4261e4ae72f80c933a4d5d2f18b834bb20ed8bcbf8c06b554e", "bytes": 47679, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fimmu.2022.1090358", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9879135", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE197552", "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=GSE197552", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE197552", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. 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categorize DEGs into different gene modules, and 5 gene modules were randomly assigned color labels ( Figure 1D )."}}], "targets": [], "gaps": ["method.reader_named_unmapped", "method.group_comparison_wilcoxon"]}, "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": false, "required_operations": [], "missing_operations": ["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": {"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": ["GSE36809", "GSE197552"], "resolved_accessions": ["GSE36809", "GSE197552"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, GSE197522."], "basis": "The paper names GSE36809, GSE197552 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": [], "assets": ["source:pmid:36713435", "data:geo:GSE197552"], "steps": []}, "must_build": {"dsl_operations": [{"operation": "group_comparison_wilcoxon", "unlocks_papers": null, "priority": null}], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE197552"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:25:08Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11620, "completion_tokens": 1441, "cached_tokens": 264}}, "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:36713435", "type": "paper", "label": "pmid:36713435"}, {"id": "source:pmid:36713435", "type": "manuscript", "label": "PMID 36713435 full text"}, {"id": "data:geo:GSE197552", "type": "dataset", "label": "GEO GSE197552"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36713435", "type": "paper", "label": "pmid:36713435"}, {"id": "source:pmid:36713435", "type": "manuscript", "label": "PMID 36713435 full text"}, {"id": "data:geo:GSE197552", "type": "dataset", "label": "GEO GSE197552"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36713435", "type": "extraction", "used": ["source:pmid:36713435"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE197552", "type": "accession_resolution", "used": ["data:geo:GSE197552"], "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:36713435", "parent_hash": "sha256:1cad0f90e67ac75a2913c6f41000a5892bde568ca13635208b2ebe7e307f2de1", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE197552 licence not read", "asset:data:geo:GSE197552 not downloaded", "asset:data:geo:GSE36809 licence not read", "asset:data:geo:GSE36809 not downloaded", "execution.not_run", "method.group_comparison_wilcoxon", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:run_analysis blocked on method:group_comparison_wilcoxon"], "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": ["uced by autophagy after trauma. Here, we use single-cell transcriptomics analysis in a major trauma cohort to demonst", "e buffer solution (PBS) at room temperature. Single-cell RNA-seq data processing Raw data were aligned to the", "lity of the datasets. To perform comparative scRNA-seq analysis across experimental conditions, the", "analysis across experimental conditions, the scRNA-seq integration procedure was commenced by findi"], "order_basis": "paper_text_order:361", "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": ["immune cells. In addition, all transcriptome RNA sequencing data obtained from PBMCs in a cohort of 167", "ution (PBS) at room temperature. Single-cell RNA-seq data processing Raw data were aligned to the", "phagy after trauma. Here, we use single-cell transcriptomics analysis in a major trauma cohort to demonst", "agy levels in immune cells. In addition, all transcriptome RNA sequencing data obtained from PBMCs in a"], "order_basis": "paper_text_order:373", "id": "assay:2"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["Wilcoxon"], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}