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pmid:34124262

Altered Genes and Biological Functions in Response to Severe Burns.

Xinheng Liu · Yongxian Rong · Donglin Huang · Zhijie Liang · Xiaolin Yi · Fangxiao Wu · Dandan Zhu · Steven Mo · Wenhai Nong · Hongmian Li

BioMed research international · 2021 doi:10.1155/2021/8836243

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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title
Altered Genes and Biological Functions in Response to Severe Burns.
doi
10.1155/2021/8836243
pmid
34124262
authors array · 10 items
[0]
Xinheng Liu
[1]
Yongxian Rong
[2]
Donglin Huang
[3]
Zhijie Liang
[4]
Xiaolin Yi
[5]
Fangxiao Wu
[6]
Dandan Zhu
[7]
Steven Mo
[8]
Wenhai Nong
[9]
Hongmian Li
journal
BioMed research international
year
2021
abstract
Severe burns are acute wounds caused by local heat exposure, resulting in life-threatening systemic effects and poor survival. However, the specific molecular mechanisms remain unclear. First, we downloaded gene expression data related to severe burns from the GEO database (GSE19743, GSE37069, and GSE77791). Then, a gene expression analysis was performed to identify differentially expressed genes (DEGs) and construct protein-protein interaction (PPI) network. The molecular mechanism was identified by enrichment analysis and Gene Set Enrichment Analysis. In addition, STEM software was used to screen for genes persistently expressed during response to severe burns, and receiver operating characteristic (ROC) curve was used to identify key DEGs. A total of 2631 upregulated and 3451 downregulated DEGs were identified. PPI network analysis clustered these DEGs into 13 modules. Importantly, module genes mostly related with immune responses and metabolism. In addition, we identified genes persistently altered during the response to severe burns corresponding to survival and death status. Among the genes with high area under the ROC curve in the PPI network gene, CCL5 and LCK were identified as key DEGs, which may affect the prognosis of burn patients. Gene set variation analysis showed that the immune response was inhibited and several types of immune cells were decreased, while the metabolic response was enhanced. The results showed that persistent gene expression changes occur in response to severe burns, which may underlie chronic alterations in physiological pathways. Identifying the key altered genes may reveal potential therapeutic targets for mitigating the effects of severe burns.
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For burn patients and healthy subjects, the mRNA levels of DEGs were identified using the limma package [17].
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For burn patients and healthy subjects, the mRNA levels of DEGs were identified using the limma package [17].
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The research data used to support the findings of this study are included within the supplementary information files.
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A large-scale clinical study of gene expression response to severe burn injury
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GSM909945
[302]
GSM909946
[303]
GSM909947
[304]
GSM909948
[305]
GSM909949
[306]
GSM909950
[307]
GSM909951
[308]
GSM909952
[309]
GSM909953
[310]
GSM909954
[311]
GSM909955
[312]
GSM909956
[313]
GSM909957
[314]
GSM909958
[315]
GSM909959
[316]
GSM909960
[317]
GSM909961
[318]
GSM909962
[319]
GSM909963
[320]
GSM909964
[321]
GSM909965
[322]
GSM909966
[323]
GSM909967
[324]
GSM909968
[325]
GSM909969
[326]
GSM909970
[327]
GSM909971
[328]
GSM909972
[329]
GSM909973
[330]
GSM909974
[331]
GSM909975
[332]
GSM909976
[333]
GSM909977
[334]
GSM909978
[335]
GSM909979
[336]
GSM909980
[337]
GSM909981
[338]
GSM909982
[339]
GSM909983
[340]
GSM909984
[341]
GSM909985
[342]
GSM909986
[343]
GSM909987
[344]
GSM909988
[345]
GSM909989
[346]
GSM909990
[347]
GSM909991
[348]
GSM909992
[349]
GSM909993
[350]
GSM909994
[351]
GSM909995
[352]
GSM909996
[353]
GSM909997
[354]
GSM909998
[355]
GSM909999
[356]
GSM910000
[357]
GSM910001
[358]
GSM910002
[359]
GSM910003
[360]
GSM910004
[361]
GSM910005
[362]
GSM910006
[363]
GSM910007
[364]
GSM910008
[365]
GSM910009
[366]
GSM910010
[367]
GSM910011
[368]
GSM910012
[369]
GSM910013
[370]
GSM910014
[371]
GSM910015
[372]
GSM910016
[373]
GSM910017
[374]
GSM910018
[375]
GSM910019
[376]
GSM910020
[377]
GSM910021
[378]
GSM910022
[379]
GSM910023
[380]
GSM910024
[381]
GSM910025
[382]
GSM910026
[383]
GSM910027
[384]
GSM910028
[385]
GSM910029
[386]
GSM910030
[387]
GSM910031
[388]
GSM910032
[389]
GSM910033
[390]
GSM910034
[391]
GSM910035
[392]
GSM910036
[393]
GSM910037
[394]
GSM910038
[395]
GSM910039
[396]
GSM910040
[397]
GSM910041
[398]
GSM910042
[399]
GSM910043
[400]
GSM910044
[401]
GSM910045
[402]
GSM910046
[403]
GSM910047
[404]
GSM910048
[405]
GSM910049
[406]
GSM910050
[407]
GSM910051
[408]
GSM910052
[409]
GSM910053
[410]
GSM910054
[411]
GSM910055
[412]
GSM910056
[413]
GSM910057
[414]
GSM910058
[415]
GSM910059
[416]
GSM910060
[417]
GSM910061
[418]
GSM910062
[419]
GSM910063
[420]
GSM910064
[421]
GSM910065
[422]
GSM910066
[423]
GSM910067
[424]
GSM910068
[425]
GSM910069
[426]
GSM910070
[427]
GSM910071
[428]
GSM910072
[429]
GSM910073
[430]
GSM910074
[431]
GSM910075
[432]
GSM910076
[433]
GSM910077
[434]
GSM910078
[435]
GSM910079
[436]
GSM910080
[437]
GSM910081
[438]
GSM910082
[439]
GSM910083
[440]
GSM910084
[441]
GSM910085
[442]
GSM910086
[443]
GSM910087
[444]
GSM910088
[445]
GSM910089
[446]
GSM910090
[447]
GSM910091
[448]
GSM910092
[449]
GSM910093
[450]
GSM910094
[451]
GSM910095
[452]
GSM910096
[453]
GSM910097
[454]
GSM910098
[455]
GSM910099
[456]
GSM910100
[457]
GSM910101
[458]
GSM910102
[459]
GSM910103
[460]
GSM910104
[461]
GSM910105
[462]
GSM910106
[463]
GSM910107
[464]
GSM910108
[465]
GSM910109
[466]
GSM910110
[467]
GSM910111
[468]
GSM910112
[469]
GSM910113
[470]
GSM910114
[471]
GSM910115
[472]
GSM910116
[473]
GSM910117
[474]
GSM910118
[475]
GSM910119
[476]
GSM910120
[477]
GSM910121
[478]
GSM910122
[479]
GSM910123
[480]
GSM910124
[481]
GSM910125
[482]
GSM910126
[483]
GSM910127
[484]
GSM910128
[485]
GSM910129
[486]
GSM910130
[487]
GSM910131
[488]
GSM910132
[489]
GSM910133
[490]
GSM910134
[491]
GSM910135
[492]
GSM910136
[493]
GSM910137
[494]
GSM910138
[495]
GSM910139
[496]
GSM910140
[497]
GSM910141
[498]
GSM910142
[499]
GSM910143
[500]
GSM910144
[501]
GSM910145
[502]
GSM910146
[503]
GSM910147
[504]
GSM910148
[505]
GSM910149
[506]
GSM910150
[507]
GSM910151
[508]
GSM910152
[509]
GSM910153
[510]
GSM910154
[511]
GSM910155
[512]
GSM910156
[513]
GSM910157
[514]
GSM910158
[515]
GSM910159
[516]
GSM910160
[517]
GSM910161
[518]
GSM910162
[519]
GSM910163
[520]
GSM910164
[521]
GSM910165
[522]
GSM910166
[523]
GSM910167
[524]
GSM910168
[525]
GSM910169
[526]
GSM910170
[527]
GSM910171
[528]
GSM910172
[529]
GSM910173
[530]
GSM910174
[531]
GSM910175
[532]
GSM910176
[533]
GSM910177
[534]
GSM910178
[535]
GSM910179
[536]
GSM910180
[537]
GSM910181
[538]
GSM910182
[539]
GSM910183
[540]
GSM910184
[541]
GSM910185
[542]
GSM910186
[543]
GSM910187
[544]
GSM910188
[545]
GSM910189
[546]
GSM910190
[547]
GSM910191
[548]
GSM910192
[549]
GSM910193
[550]
GSM910194
[551]
GSM910195
[552]
GSM910196
[553]
GSM910197
[554]
GSM910198
[555]
GSM910199
[556]
GSM910200
[557]
GSM910201
[558]
GSM910202
[559]
GSM910203
[560]
GSM910204
[561]
GSM910205
[562]
GSM910206
[563]
GSM910207
[564]
GSM910208
[565]
GSM910209
[566]
GSM910210
[567]
GSM910211
[568]
GSM910212
[569]
GSM910213
[570]
GSM910214
[571]
GSM910215
[572]
GSM910216
[573]
GSM910217
[574]
GSM910218
[575]
GSM910219
[576]
GSM910220
[577]
GSM910221
[578]
GSM910222
[579]
GSM910223
[580]
GSM910224
[581]
GSM910225
[582]
GSM910226
[583]
GSM910227
[584]
GSM910228
[585]
GSM910229
[586]
GSM910230
[587]
GSM910231
[588]
GSM910232
[589]
GSM910233
sample_count
590
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene response to major burn injuries
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE77791
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=GSE77791
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE77791
version
null
note
The research data used to support the findings of this study are included within the supplementary information files.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The research data used to support the findings of this study are included within the supplementary information files.
access_statement_kind
data_availability_statement
sample_accessions array · 117 items
[0]
GSM2059436
[1]
GSM2059437
[2]
GSM2059438
[3]
GSM2059439
[4]
GSM2059440
[5]
GSM2059441
[6]
GSM2059442
[7]
GSM2059443
[8]
GSM2059444
[9]
GSM2059445
[10]
GSM2059446
[11]
GSM2059447
[12]
GSM2059448
[13]
GSM2059449
[14]
GSM2059450
[15]
GSM2059451
[16]
GSM2059452
[17]
GSM2059453
[18]
GSM2059454
[19]
GSM2059455
[20]
GSM2059456
[21]
GSM2059457
[22]
GSM2059458
[23]
GSM2059459
[24]
GSM2059460
[25]
GSM2059461
[26]
GSM2059462
[27]
GSM2059463
[28]
GSM2059464
[29]
GSM2059465
[30]
GSM2059466
[31]
GSM2059467
[32]
GSM2059468
[33]
GSM2059469
[34]
GSM2059470
[35]
GSM2059471
[36]
GSM2059472
[37]
GSM2059473
[38]
GSM2059474
[39]
GSM2059475
[40]
GSM2059476
[41]
GSM2059477
[42]
GSM2059478
[43]
GSM2059479
[44]
GSM2059480
[45]
GSM2059481
[46]
GSM2059482
[47]
GSM2059483
[48]
GSM2059484
[49]
GSM2059485
[50]
GSM2059486
[51]
GSM2059487
[52]
GSM2059488
[53]
GSM2059489
[54]
GSM2059490
[55]
GSM2059491
[56]
GSM2059492
[57]
GSM2059493
[58]
GSM2059494
[59]
GSM2059495
[60]
GSM2059496
[61]
GSM2059497
[62]
GSM2059498
[63]
GSM2059499
[64]
GSM2059500
[65]
GSM2059501
[66]
GSM2059502
[67]
GSM2059503
[68]
GSM2059504
[69]
GSM2059505
[70]
GSM2059506
[71]
GSM2059507
[72]
GSM2059508
[73]
GSM2059509
[74]
GSM2059510
[75]
GSM2059511
[76]
GSM2059512
[77]
GSM2059513
[78]
GSM2059514
[79]
GSM2059515
[80]
GSM2059516
[81]
GSM2059517
[82]
GSM2059518
[83]
GSM2059519
[84]
GSM2059520
[85]
GSM2059521
[86]
GSM2059522
[87]
GSM2059523
[88]
GSM2059524
[89]
GSM2059525
[90]
GSM2059526
[91]
GSM2059527
[92]
GSM2059528
[93]
GSM2059529
[94]
GSM2059530
[95]
GSM2059531
[96]
GSM2059532
[97]
GSM2059533
[98]
GSM2059534
[99]
GSM2059535
[100]
GSM2059536
[101]
GSM2059537
[102]
GSM2059538
[103]
GSM2059539
[104]
GSM2059540
[105]
GSM2059541
[106]
GSM2059542
[107]
GSM2059543
[108]
GSM2059544
[109]
GSM2059545
[110]
GSM2059546
[111]
GSM2059547
[112]
GSM2059548
[113]
GSM2059549
[114]
GSM2059550
[115]
GSM2059551
[116]
GSM2059552
sample_count
117
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Prospective randomized doubleblind assessment of transcriptome modulation by hydrocortisone in severe burn shock
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 · 6 items
[0]
asset:data:geo:GSE19743 not downloaded
[1]
asset:data:geo:GSE19743 licence not read
[2]
asset:data:geo:GSE37069 not downloaded
[3]
asset:data:geo:GSE37069 licence not read
[4]
asset:data:geo:GSE77791 not downloaded
[5]
asset:data:geo:GSE77791 licence not read
analysis object · 4 fields
state
complete
methods array · 3 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
For burn patients and healthy subjects, the mRNA levels of DEGs were identified using the limma package [17].
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
ROC curve
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 · 3 items
[0]
GSE19743
[1]
GSE37069
[2]
GSE77791
resolved_accessions array · 3 items
[0]
GSE19743
[1]
GSE37069
[2]
GSE77791
statements array · 1 item
[0]
The research data used to support the findings of this study are included within the supplementary information files.
basis
The paper names GSE19743, GSE37069, GSE77791 in GEO database 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 · 2 items
[0]
source:pmid:34124262
[1]
data:geo:GSE19743
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:GSE19743
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
2026-10-31T18:30:50Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
29925
completion_tokens
987
cached_tokens
776
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:34124262
type
paper
label
pmid:34124262
[1] object · 3 fields
id
source:pmid:34124262
type
manuscript
label
PMID 34124262 full text
[2] object · 3 fields
id
data:geo:GSE19743
type
dataset
label
GEO GSE19743
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:34124262
type
paper
label
pmid:34124262
[1] object · 3 fields
id
source:pmid:34124262
type
manuscript
label
PMID 34124262 full text
[2] object · 3 fields
id
data:geo:GSE19743
type
dataset
label
GEO GSE19743
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34124262
type
extraction
used array · 1 item
[0]
source:pmid:34124262
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE19743
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE19743
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:34124262
parent_hash
sha256:bd49c520aef4ddb423a2d2dc6c5e983aa00b3a200f5a28a508c26c82c13b30c8
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE19743 licence not read
[1]
asset:data:geo:GSE19743 not downloaded
[2]
asset:data:geo:GSE37069 licence not read
[3]
asset:data:geo:GSE37069 not downloaded
[4]
asset:data:geo:GSE77791 licence not read
[5]
asset:data:geo:GSE77791 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
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]
For burn patients and healthy subjects, the mRNA levels of DEGs were identified using the limma package [17].
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:34124262", "kind": "science-record", "revision": 8, "content_hash": "sha256:425fcb2c99eb6852a720905495235dfec9e55bd647f244c156fef6cf9e2b51ff", "created_at": "2026-11-01T15:41:38Z", "updated_at": "2026-11-01T22:46:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Altered Genes and Biological Functions in Response to Severe Burns.", "doi": "10.1155/2021/8836243", "pmid": "34124262", "authors": ["Xinheng Liu", "Yongxian Rong", "Donglin Huang", "Zhijie Liang", "Xiaolin Yi", "Fangxiao Wu", "Dandan Zhu", "Steven Mo", "Wenhai Nong", "Hongmian Li"], "journal": "BioMed research international", "year": 2021, "abstract": "Severe burns are acute wounds caused by local heat exposure, resulting in life-threatening systemic effects and poor survival. However, the specific molecular mechanisms remain unclear. First, we downloaded gene expression data related to severe burns from the GEO database (GSE19743, GSE37069, and GSE77791). Then, a gene expression analysis was performed to identify differentially expressed genes (DEGs) and construct protein-protein interaction (PPI) network. The molecular mechanism was identified by enrichment analysis and Gene Set Enrichment Analysis. In addition, STEM software was used to screen for genes persistently expressed during response to severe burns, and receiver operating characteristic (ROC) curve was used to identify key DEGs. A total of 2631 upregulated and 3451 downregulated DEGs were identified. PPI network analysis clustered these DEGs into 13 modules. Importantly, module genes mostly related with immune responses and metabolism. In addition, we identified genes persistently altered during the response to severe burns corresponding to survival and death status. Among the genes with high area under the ROC curve in the PPI network gene, CCL5 and LCK were identified as key DEGs, which may affect the prognosis of burn patients. Gene set variation analysis showed that the immune response was inhibited and several types of immune cells were decreased, while the metabolic response was enhanced. The results showed that persistent gene expression changes occur in response to severe burns, which may underlie chronic alterations in physiological pathways. Identifying the key altered genes may reveal potential therapeutic targets for mitigating the effects of severe burns.", "claims": [{"id": "claim-method", "statement": "For burn patients and healthy subjects, the mRNA levels of DEGs were identified using the limma package [17].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34124262", "locator": "sections[4] \"2.2. DEG Analysis\" paragraph 2", "quote": "For burn patients and healthy subjects, the mRNA levels of DEGs were identified using the limma package [17]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The research data used to support the findings of this study are included within the supplementary information files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34124262", "locator": "sections[20] \"Data Availability\" paragraph 2", "quote": "The research data used to support the findings of this study are included within the supplementary information files."}], "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:34124262"], "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:GSE19743"], "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:GSE19743"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34124262", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2021/8836243", "sha256": "sha256:7325fcd4c0ecd64f36bc0a03739b85b96129ddb61367cc4e611dc3a0d7520cdc", "bytes": 36447, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2021/8836243", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8168476", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE19743", "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=GSE19743", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19743", "version": null, "note": "The research data used to support the findings of this study are included within the supplementary information files.", "structure": 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