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pmid:34568491

Biodata Mining of Differentially Expressed Genes between Acute Myocardial Infarction and Unstable Angina Based on Integrated Bioinformatics.

Siyu Guo · Zhihong Huang · Xinkui Liu · Jingyuan Zhang · Peizhi Ye · Chao Wu · Shan Lu · Shanshan Jia · Xiaomeng Zhang · Xiuping Chen · Miaomiao Wang · Jiarui Wu

BioMed research international · 2021 doi:10.1155/2021/5584681

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34568491
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science-record
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sha256:0807bde4dbfc0b599e19c90327a46dcd515aedae5e2138eeff64b08cfcbcab57
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created_at
2026-11-01T15:41:54Z
updated_at
2026-11-01T22:47:36Z
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paper object · 10 fields
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title
Biodata Mining of Differentially Expressed Genes between Acute Myocardial Infarction and Unstable Angina Based on Integrated Bioinformatics.
doi
10.1155/2021/5584681
pmid
34568491
authors array · 12 items
[0]
Siyu Guo
[1]
Zhihong Huang
[2]
Xinkui Liu
[3]
Jingyuan Zhang
[4]
Peizhi Ye
[5]
Chao Wu
[6]
Shan Lu
[7]
Shanshan Jia
[8]
Xiaomeng Zhang
[9]
Xiuping Chen
[10]
Miaomiao Wang
[11]
Jiarui Wu
journal
BioMed research international
year
2021
abstract
Acute coronary syndrome (ACS) is a complex syndrome of clinical symptoms. In order to accurately diagnose the type of disease in ACS patients, this study is aimed at exploring the differentially expressed genes (DEGs) and biological pathways between acute myocardial infarction (AMI) and unstable angina (UA). The GSE29111 and GSE60993 datasets containing microarray data from AMI and UA patients were downloaded from the Gene Expression Omnibus (GEO) database. DEG analysis of these 2 datasets is performed using the "limma" package in R software. DEGs were also analyzed using protein-protein interaction (PPI), Molecular Complex Detection (MCODE) algorithm, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Correlation analysis and "cytoHubba" were used to analyze the hub genes. A total of 286 DEGs were obtained from GSE29111 and GSE60993, including 132 upregulated genes and 154 downregulated genes. Subsequent comprehensive analysis identified 20 key genes that may be related to the occurrence and development of AMI and UA and were involved in the inflammatory response, interaction of neuroactive ligand-receptor, calcium signaling pathway, inflammatory mediator regulation of TRP channels, viral protein interaction with cytokine and cytokine receptor, human cytomegalovirus infection, and cytokine-cytokine receptor interaction pathway. The integrated bioinformatical analysis could improve our understanding of DEGs between AMI and UA. The results of this study might provide a new perspective and reference for the early diagnosis and treatment of ACS.
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DEG analysis of these 2 datasets is performed using the “limma” package in R software.
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DEG analysis of these 2 datasets is performed using the “limma” package in R software.
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The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. The datasets during the current study are available from the corresponding author upon reasonable request.
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sections[17] "Data Availability" paragraph 2
quote
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. The datasets during the current study are available from the corresponding author upon reasonable request.
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Characterisation of Myocardial Infarction and Unstable Angina with mRNA Profiles from Whole Blood of individual patients
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Assessment and Diagnostic Relevance of Novel Serum Biomarkers for Early Decision of ST-elevation Myocardial Infarction
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3.1. Screening of Differentially Expressed Genes
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Information of 2 microarray datasets of acute myocardial infarction and unstable angina.
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3.2. Protein Interaction Analysis and Module Analysis of DEGs
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Information of key genes in PPI network of GSE29111.
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3.2. Protein Interaction Analysis and Module Analysis of DEGs
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Information of key genes in protein interaction network of GSE60993.
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3.3. Enrichment Analysis of DEGs
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caption
Information on GO entries enriched by differentially expressed genes in GSE29111.
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Information on GO entries enriched by differentially expressed genes in GSE60993.
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3.3. Enrichment Analysis of DEGs
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caption
Information on GO entries enriched by differentially expressed genes in GSE60993.
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0.001886
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0.002469
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Regulation of cytokine production involved in immune response
[3]
0.002508
[19] array · 4 items
[0]
BP
[1]
GO:0002456
[2]
T cell mediated immunity
[3]
0.002638
[20] array · 4 items
[0]
BP
[1]
GO:0002708
[2]
Positive regulation of lymphocyte mediated immunity
[3]
0.002638
[21] array · 4 items
[0]
BP
[1]
GO:0060337
[2]
Type I interferon signaling pathway
[3]
0.002638
[22] array · 4 items
[0]
BP
[1]
GO:0071357
[2]
Cellular response to type I interferon
[3]
0.002638
[23] array · 4 items
[0]
BP
[1]
GO:0042742
[2]
Defense response to bacterium
[3]
0.002638
[24] array · 4 items
[0]
BP
[1]
GO:0002702
[2]
Positive regulation of production of molecular mediator of immune response
[3]
0.002638
[25] array · 4 items
[0]
BP
[1]
GO:0034340
[2]
Response to type I interferon
[3]
0.002648
[26] array · 4 items
[0]
BP
[1]
GO:0060326
[2]
Cell chemotaxis
[3]
0.002648
[27] array · 4 items
[0]
BP
[1]
GO:0002726
[2]
Positive regulation of T cell cytokine production
[3]
0.003238
[28] array · 4 items
[0]
BP
[1]
GO:0002688
[2]
Regulation of leukocyte chemotaxis
[3]
0.003238
[29] array · 4 items
[0]
BP
[1]
GO:0002705
[2]
Positive regulation of leukocyte mediated immunity
[3]
0.004302
[30] array · 4 items
[0]
BP
[1]
GO:0002687
[2]
Positive regulation of leukocyte migration
[3]
0.00459
[31] array · 4 items
[0]
BP
[1]
GO:0032103
[2]
Positive regulation of response to external stimulus
[3]
0.005129
[32] array · 4 items
[0]
BP
[1]
GO:0050921
[2]
Positive regulation of chemotaxis
[3]
0.005298
[33] array · 4 items
[0]
BP
[1]
GO:0009615
[2]
Response to virus
[3]
0.005298
[34] array · 4 items
[0]
BP
[1]
GO:0002706
[2]
Regulation of lymphocyte mediated immunity
[3]
0.005706
[35] array · 4 items
[0]
BP
[1]
GO:0002700
[2]
Regulation of production of molecular mediator of immune response
[3]
0.005732
[36] array · 4 items
[0]
BP
[1]
GO:0070102
[2]
Interleukin-6-mediated signaling pathway
[3]
0.005732
[37] array · 4 items
[0]
BP
[1]
GO:0002724
[2]
Regulation of T cell cytokine production
[3]
0.006379
[38] array · 4 items
[0]
BP
[1]
GO:0002251
[2]
Organ or tissue specific immune response
[3]
0.008387
[39] array · 4 items
[0]
BP
[1]
GO:0002711
[2]
Positive regulation of T cell mediated immunity
[3]
0.009107
[40] array · 4 items
[0]
BP
[1]
GO:0097529
[2]
Myeloid leukocyte migration
[3]
0.009288
[41] array · 4 items
[0]
BP
[1]
GO:0019835
[2]
Cytolysis
[3]
0.009599
[42] array · 4 items
[0]
CC
[1]
GO:0042581
[2]
Specific granule
[3]
1.44E − 05
[43] array · 4 items
[0]
CC
[1]
GO:0070820
[2]
Tertiary granule
[3]
1.44E − 05
[44] array · 4 items
[0]
CC
[1]
GO:0030667
[2]
Secretory granule membrane
[3]
0.000164
[45] array · 4 items
[0]
CC
[1]
GO:0070821
[2]
Tertiary granule membrane
[3]
0.000654
[46] array · 4 items
[0]
CC
[1]
GO:0035579
[2]
Specific granule membrane
[3]
0.001009
[47] array · 4 items
[0]
CC
[1]
GO:0098802
[2]
Plasma membrane receptor complex
[3]
0.003883
[48] array · 4 items
[0]
CC
[1]
GO:1904724
[2]
Tertiary granule lumen
[3]
0.009249
[49] array · 4 items
[0]
CC
[1]
GO:0101003
[2]
Ficolin-1-rich granule membrane
[3]
0.009249
[50] array · 4 items
[0]
CC
[1]
GO:0035580
[2]
Specific granule lumen
[3]
0.009249
[51] array · 4 items
[0]
MF
[1]
GO:0004896
[2]
Cytokine receptor activity
[3]
6.26E − 05
[52] array · 4 items
[0]
MF
[1]
GO:0019955
[2]
Cytokine binding
[3]
0.003951
locator
section[11]/table-wrap[2]#tab5
gaps array · 4 items
[0]
asset:data:geo:GSE29111 not downloaded
[1]
asset:data:geo:GSE29111 licence not read
[2]
asset:data:geo:GSE60993 not downloaded
[3]
asset:data:geo:GSE60993 licence not read
analysis object · 4 fields
state
complete
methods array · 5 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
DEG analysis of these 2 datasets is performed using the “limma” package in R software.
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
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
protein-protein interaction
[3] object · 10 fields
id
method-4
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[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
pathway enrichment
[4] object · 10 fields
id
method-5
family
network_analysis
specific
centrality
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
0.8
band
high
quote
Centrality
targets array · 0 items
gaps array · 0 items
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 · 2 items
[0]
GSE29111
[1]
GSE60993
resolved_accessions array · 2 items
[0]
GSE29111
[1]
GSE60993
statements array · 1 item
[0]
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. The datasets during the current study are available from the corresponding author upon reasonable request.
basis
The paper names GSE29111, GSE60993 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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 7 items
[0]
source:pmid:34568491
[1]
data:geo:GSE29111
[2]
asset:table:pmid:34568491:1
[3]
asset:table:pmid:34568491:2
[4]
asset:table:pmid:34568491:3
[5]
asset:table:pmid:34568491:4
[6]
asset:table:pmid:34568491:5
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:GSE29111
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
2026-10-31T18:35:14Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
45945
completion_tokens
1072
cached_tokens
785
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:34568491
type
paper
label
pmid:34568491
[1] object · 3 fields
id
source:pmid:34568491
type
manuscript
label
PMID 34568491 full text
[2] object · 3 fields
id
data:geo:GSE29111
type
dataset
label
GEO GSE29111
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:34568491
type
paper
label
pmid:34568491
[1] object · 3 fields
id
source:pmid:34568491
type
manuscript
label
PMID 34568491 full text
[2] object · 3 fields
id
data:geo:GSE29111
type
dataset
label
GEO GSE29111
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34568491
type
extraction
used array · 1 item
[0]
source:pmid:34568491
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE29111
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE29111
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:34568491
parent_hash
sha256:f22108cac868932036295a307c32659be427f5b073e2d076e075e880fcad8161
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE29111 licence not read
[1]
asset:data:geo:GSE29111 not downloaded
[2]
asset:data:geo:GSE60993 licence not read
[3]
asset:data:geo:GSE60993 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 1 item
[0] 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]
DEG analysis of these 2 datasets is performed using the “limma” package in R software.
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:34568491", "kind": "science-record", "revision": 8, "content_hash": "sha256:0807bde4dbfc0b599e19c90327a46dcd515aedae5e2138eeff64b08cfcbcab57", "created_at": "2026-11-01T15:41:54Z", "updated_at": "2026-11-01T22:47:36Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Biodata Mining of Differentially Expressed Genes between Acute Myocardial Infarction and Unstable Angina Based on Integrated Bioinformatics.", "doi": "10.1155/2021/5584681", "pmid": "34568491", "authors": ["Siyu Guo", "Zhihong Huang", "Xinkui Liu", "Jingyuan Zhang", "Peizhi Ye", "Chao Wu", "Shan Lu", "Shanshan Jia", "Xiaomeng Zhang", "Xiuping Chen", "Miaomiao Wang", "Jiarui Wu"], "journal": "BioMed research international", "year": 2021, "abstract": "Acute coronary syndrome (ACS) is a complex syndrome of clinical symptoms. In order to accurately diagnose the type of disease in ACS patients, this study is aimed at exploring the differentially expressed genes (DEGs) and biological pathways between acute myocardial infarction (AMI) and unstable angina (UA). The GSE29111 and GSE60993 datasets containing microarray data from AMI and UA patients were downloaded from the Gene Expression Omnibus (GEO) database. DEG analysis of these 2 datasets is performed using the \"limma\" package in R software. DEGs were also analyzed using protein-protein interaction (PPI), Molecular Complex Detection (MCODE) algorithm, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Correlation analysis and \"cytoHubba\" were used to analyze the hub genes. A total of 286 DEGs were obtained from GSE29111 and GSE60993, including 132 upregulated genes and 154 downregulated genes. Subsequent comprehensive analysis identified 20 key genes that may be related to the occurrence and development of AMI and UA and were involved in the inflammatory response, interaction of neuroactive ligand-receptor, calcium signaling pathway, inflammatory mediator regulation of TRP channels, viral protein interaction with cytokine and cytokine receptor, human cytomegalovirus infection, and cytokine-cytokine receptor interaction pathway. The integrated bioinformatical analysis could improve our understanding of DEGs between AMI and UA. The results of this study might provide a new perspective and reference for the early diagnosis and treatment of ACS.", "claims": [{"id": "claim-method", "statement": "DEG analysis of these 2 datasets is performed using the “limma” package in R software.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34568491", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "DEG analysis of these 2 datasets is performed using the “limma” package in R software."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. The datasets during the current study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34568491", "locator": "sections[17] \"Data Availability\" paragraph 2", "quote": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. The datasets during the current study are available from the corresponding author upon reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "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:34568491"], "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:GSE29111"], "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:GSE29111"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34568491", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2021/5584681", "sha256": "sha256:0b40a2456e4ee78aa69f96a29e2751bf6aa96d0b78d9fde029edaff09262f267", "bytes": 56382, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2021/5584681", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8456013", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE29111", "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=GSE29111", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE29111", "version": null, "note": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. The datasets during the current study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All data obtained or analyzed during this study are available from the published article and its supplementary information files. 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