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pmid:35646094

Identification and Verification of Feature Biomarkers Associated With Immune Cells in Dilated Cardiomyopathy by Bioinformatics Analysis.

Tingfang Zhu · Mingjie Wang · Jinwei Quan · Zunhui Du · Qiheng Li · Yuan Xie · Menglu Lin · Cathy Xu · Yucai Xie

Frontiers in genetics · 2022 doi:10.3389/fgene.2022.874544

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Experiment

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Data

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title
Identification and Verification of Feature Biomarkers Associated With Immune Cells in Dilated Cardiomyopathy by Bioinformatics Analysis.
doi
10.3389/fgene.2022.874544
pmid
35646094
authors array · 9 items
[0]
Tingfang Zhu
[1]
Mingjie Wang
[2]
Jinwei Quan
[3]
Zunhui Du
[4]
Qiheng Li
[5]
Yuan Xie
[6]
Menglu Lin
[7]
Cathy Xu
[8]
Yucai Xie
journal
Frontiers in genetics
year
2022
abstract
Objective: To explore immune-related feature genes in patients with dilated cardiomyopathy (DCM). Methods: Expression profiles from three datasets (GSE1145, GSE21610 and GSE21819) of human cardiac tissues of DCM and healthy controls were downloaded from the GEO database. After data preprocessing, differentially expressed genes (DEGs) were identified by the 'limma' package in R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were then performed to identify biological functions of the DEGs. The compositional patterns of stromal and immune cells were estimated using xCell. Hub genes and functional modules were identified based on protein-protein interaction (PPI) network analysis by STRING webtool and Cytoscape application. Correlation analysis was performed between immune cell subtypes and hub genes. Hub genes with |correlation coefficient| > 0.5 and p value <0.05 were selected as feature biomarkers. A logistic regression model was constructed based on the selected biomarkers and validated in datasets GSE5406 and GSE57338. Results: A total of 1,005 DEGs were identified. Functional enrichment analyses indicated that extracellular matrix remodeling and immune and inflammation disorder played important roles in the pathogenesis of DCM. Immune cells, including CD8+ T-cells, macrophages M1 and Th1 cells, were proved to be significantly changed in DCM patients by immune cell infiltration analysis. In the PPI network analysis, STAT3, IL6, CCL2, PIK3R1, ESR1, CCL5, IL17A, TLR2, BUB1B and MYC were identified as hub genes, among which CCL2, CCL5 and TLR2 were further screened as feature biomarkers by using hub genes and immune cells correlation analysis. A diagnosis model was successfully constructed by using the three biomarkers with area under the curve (AUC) scores 0.981, 0.867 and 0.946 in merged dataset, GSE5406 and GSE57338, respectively. Conclusion: The present study identified three immune-related genes as diagnostic biomarkers for DCM, providing a novel perspective of immune and inflammatory response for the exploration of DCM molecular mechanisms.
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Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338.
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sections[18] "Data Availability Statement" paragraph 2
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Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338.
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The study identified CCL2, CCL5, and TLR2 as diagnostic biomarkers and developed a three-gene diagnostic model for DCM with AUC values of 0.981, 0.867, and 0.946 in the merged dataset, GSE5406, and GSE57338, respectively.
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A diagnosis model was successfully constructed by using the three biomarkers with area under the curve (AUC) scores 0.981, 0.867 and 0.946 in merged dataset, GSE5406 and GSE57338, respectively.
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The study identified CCL2, CCL5, and TLR2 as diagnostic biomarkers and developed a three-gene diagnostic model for DCM with AUC values of 0.981, 0.867, and 0.946 in the merged dataset, GSE5406, and GSE57338, respectively.
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[162]
GSM123680
[163]
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[164]
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[165]
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[166]
GSM123684
[167]
GSM123685
[168]
GSM123686
[169]
GSM123687
[170]
GSM123688
[171]
GSM123689
[172]
GSM123690
[173]
GSM123691
[174]
GSM123692
[175]
GSM123693
[176]
GSM123694
[177]
GSM123695
[178]
GSM123696
[179]
GSM123697
[180]
GSM123698
[181]
GSM123699
[182]
GSM123700
[183]
GSM123701
[184]
GSM123702
[185]
GSM123703
[186]
GSM123704
[187]
GSM123705
[188]
GSM123706
[189]
GSM123707
[190]
GSM123708
[191]
GSM123709
[192]
GSM123710
[193]
GSM123711
[194]
GSM123712
[195]
GSM123713
[196]
GSM123714
[197]
GSM123715
[198]
GSM123716
[199]
GSM123717
[200]
GSM123718
[201]
GSM123719
[202]
GSM123720
[203]
GSM123721
[204]
GSM123722
[205]
GSM123723
[206]
GSM123724
[207]
GSM123725
[208]
GSM123726
[209]
GSM123727
sample_count
210
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Human ischemic cardiomyopathy, idiopathic cardiomyopathy, and nonfailing controls
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE57338
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=GSE57338
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE57338
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338.
access_statement_kind
data_availability_statement
sample_accessions array · 313 items
[0]
GSM1379812
[1]
GSM1379813
[2]
GSM1379814
[3]
GSM1379815
[4]
GSM1379816
[5]
GSM1379817
[6]
GSM1379818
[7]
GSM1379819
[8]
GSM1379820
[9]
GSM1379821
[10]
GSM1379822
[11]
GSM1379823
[12]
GSM1379824
[13]
GSM1379825
[14]
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[15]
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[16]
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[17]
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[18]
GSM1379830
[19]
GSM1379831
[20]
GSM1379832
[21]
GSM1379833
[22]
GSM1379834
[23]
GSM1379835
[24]
GSM1379836
[25]
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[26]
GSM1379838
[27]
GSM1379839
[28]
GSM1379840
[29]
GSM1379841
[30]
GSM1379842
[31]
GSM1379843
[32]
GSM1379844
[33]
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[34]
GSM1379846
[35]
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[36]
GSM1379848
[37]
GSM1379849
[38]
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[39]
GSM1379851
[40]
GSM1379852
[41]
GSM1379853
[42]
GSM1379854
[43]
GSM1379855
[44]
GSM1379856
[45]
GSM1379857
[46]
GSM1379858
[47]
GSM1379859
[48]
GSM1379860
[49]
GSM1379861
[50]
GSM1379862
[51]
GSM1379863
[52]
GSM1379864
[53]
GSM1379865
[54]
GSM1379866
[55]
GSM1379867
[56]
GSM1379868
[57]
GSM1379869
[58]
GSM1379870
[59]
GSM1379871
[60]
GSM1379872
[61]
GSM1379873
[62]
GSM1379874
[63]
GSM1379875
[64]
GSM1379876
[65]
GSM1379877
[66]
GSM1379878
[67]
GSM1379879
[68]
GSM1379880
[69]
GSM1379881
[70]
GSM1379882
[71]
GSM1379883
[72]
GSM1379884
[73]
GSM1379885
[74]
GSM1379886
[75]
GSM1379887
[76]
GSM1379888
[77]
GSM1379889
[78]
GSM1379890
[79]
GSM1379891
[80]
GSM1379892
[81]
GSM1379893
[82]
GSM1379894
[83]
GSM1379895
[84]
GSM1379896
[85]
GSM1379897
[86]
GSM1379898
[87]
GSM1379899
[88]
GSM1379900
[89]
GSM1379901
[90]
GSM1379902
[91]
GSM1379903
[92]
GSM1379904
[93]
GSM1379905
[94]
GSM1379906
[95]
GSM1379907
[96]
GSM1379908
[97]
GSM1379909
[98]
GSM1379910
[99]
GSM1379911
[100]
GSM1379912
[101]
GSM1379913
[102]
GSM1379914
[103]
GSM1379915
[104]
GSM1379916
[105]
GSM1379917
[106]
GSM1379918
[107]
GSM1379919
[108]
GSM1379920
[109]
GSM1379921
[110]
GSM1379922
[111]
GSM1379923
[112]
GSM1379924
[113]
GSM1379925
[114]
GSM1379926
[115]
GSM1379927
[116]
GSM1379928
[117]
GSM1379929
[118]
GSM1379930
[119]
GSM1379931
[120]
GSM1379932
[121]
GSM1379933
[122]
GSM1379934
[123]
GSM1379935
[124]
GSM1379936
[125]
GSM1379937
[126]
GSM1379938
[127]
GSM1379939
[128]
GSM1379940
[129]
GSM1379941
[130]
GSM1379942
[131]
GSM1379943
[132]
GSM1379944
[133]
GSM1379945
[134]
GSM1379946
[135]
GSM1379947
[136]
GSM1379948
[137]
GSM1379949
[138]
GSM1379950
[139]
GSM1379951
[140]
GSM1379952
[141]
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[142]
GSM1379954
[143]
GSM1379955
[144]
GSM1379956
[145]
GSM1379957
[146]
GSM1379958
[147]
GSM1379959
[148]
GSM1379960
[149]
GSM1379961
[150]
GSM1379962
[151]
GSM1379963
[152]
GSM1379964
[153]
GSM1379965
[154]
GSM1379966
[155]
GSM1379967
[156]
GSM1379968
[157]
GSM1379969
[158]
GSM1379970
[159]
GSM1379971
[160]
GSM1379972
[161]
GSM1379973
[162]
GSM1379974
[163]
GSM1379975
[164]
GSM1379976
[165]
GSM1379977
[166]
GSM1379978
[167]
GSM1379979
[168]
GSM1379980
[169]
GSM1379981
[170]
GSM1379982
[171]
GSM1379983
[172]
GSM1379984
[173]
GSM1379985
[174]
GSM1379986
[175]
GSM1379987
[176]
GSM1379988
[177]
GSM1379989
[178]
GSM1379990
[179]
GSM1379991
[180]
GSM1379992
[181]
GSM1379993
[182]
GSM1379994
[183]
GSM1379995
[184]
GSM1379996
[185]
GSM1379997
[186]
GSM1379998
[187]
GSM1379999
[188]
GSM1380000
[189]
GSM1380001
[190]
GSM1380002
[191]
GSM1380003
[192]
GSM1380004
[193]
GSM1380005
[194]
GSM1380006
[195]
GSM1380007
[196]
GSM1380008
[197]
GSM1380009
[198]
GSM1380010
[199]
GSM1380011
[200]
GSM1380012
[201]
GSM1380013
[202]
GSM1380014
[203]
GSM1380015
[204]
GSM1380016
[205]
GSM1380017
[206]
GSM1380018
[207]
GSM1380019
[208]
GSM1380020
[209]
GSM1380021
[210]
GSM1380022
[211]
GSM1380023
[212]
GSM1380024
[213]
GSM1380025
[214]
GSM1380026
[215]
GSM1380027
[216]
GSM1380028
[217]
GSM1380029
[218]
GSM1380030
[219]
GSM1380031
[220]
GSM1380032
[221]
GSM1380033
[222]
GSM1380034
[223]
GSM1380035
[224]
GSM1380036
[225]
GSM1380037
[226]
GSM1380038
[227]
GSM1380039
[228]
GSM1380040
[229]
GSM1380041
[230]
GSM1380042
[231]
GSM1380043
[232]
GSM1380044
[233]
GSM1380045
[234]
GSM1380046
[235]
GSM1380047
[236]
GSM1380048
[237]
GSM1380049
[238]
GSM1380050
[239]
GSM1380051
[240]
GSM1380052
[241]
GSM1380053
[242]
GSM1380054
[243]
GSM1380055
[244]
GSM1380056
[245]
GSM1380057
[246]
GSM1380058
[247]
GSM1380059
[248]
GSM1380060
[249]
GSM1380061
[250]
GSM1380062
[251]
GSM1380063
[252]
GSM1380064
[253]
GSM1380065
[254]
GSM1380066
[255]
GSM1380067
[256]
GSM1380068
[257]
GSM1380069
[258]
GSM1380070
[259]
GSM1380071
[260]
GSM1380072
[261]
GSM1380073
[262]
GSM1380074
[263]
GSM1380075
[264]
GSM1380076
[265]
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[266]
GSM1380078
[267]
GSM1380079
[268]
GSM1380080
[269]
GSM1380081
[270]
GSM1380082
[271]
GSM1380083
[272]
GSM1380084
[273]
GSM1380085
[274]
GSM1380086
[275]
GSM1380087
[276]
GSM1380088
[277]
GSM1380089
[278]
GSM1380090
[279]
GSM1380091
[280]
GSM1380092
[281]
GSM1380093
[282]
GSM1380094
[283]
GSM1380095
[284]
GSM1380096
[285]
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[286]
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[287]
GSM1380099
[288]
GSM1380100
[289]
GSM1380101
[290]
GSM1380102
[291]
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[292]
GSM1380104
[293]
GSM1380105
[294]
GSM1380106
[295]
GSM1380107
[296]
GSM1380108
[297]
GSM1380109
[298]
GSM1380110
[299]
GSM1380111
[300]
GSM1380112
[301]
GSM1380113
[302]
GSM1380114
[303]
GSM1380115
[304]
GSM1380116
[305]
GSM1380117
[306]
GSM1380118
[307]
GSM1380119
[308]
GSM1380120
[309]
GSM1380121
[310]
GSM1380122
[311]
GSM1380123
[312]
GSM1380124
sample_count
313
group_sizes
null
group_sizes_basis
null
platform
11532
taxon
Homo sapiens
title
RNA-Seq Identifies Novel Myocardial Gene Expression Signatures of Heart Failure [microarray]
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE1145 not downloaded
[1]
asset:data:geo:GSE1145 licence not read
[2]
asset:data:geo:GSE21610 not downloaded
[3]
asset:data:geo:GSE21610 licence not read
[4]
asset:data:geo:GSE29819 not downloaded
[5]
asset:data:geo:GSE29819 licence not read
[6]
asset:data:geo:GSE5406 not downloaded
[7]
asset:data:geo:GSE5406 licence not read
[8]
asset:data:geo:GSE57338 not downloaded
[9]
asset:data:geo:GSE57338 licence not read
analysis object · 4 fields
state
complete
methods array · 4 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
0.7
band
medium
quote
limma
[1] object · 10 fields
id
method-2
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.7
band
medium
quote
logistic regression
[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
0.7
band
medium
quote
pathway enrichment
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 · 5 items
[0]
GSE1145
[1]
GSE21610
[2]
GSE29819
[3]
GSE5406
[4]
GSE57338
resolved_accessions array · 5 items
[0]
GSE1145
[1]
GSE21610
[2]
GSE29819
[3]
GSE5406
[4]
GSE57338
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338.
basis
The paper names GSE1145, GSE21610, GSE29819, GSE5406, GSE57338 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 · 2 items
[0]
source:pmid:35646094
[1]
data:geo:GSE1145
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:GSE1145
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
2026-11-01T17:48:17Z
independence
single_reader
evidence_check object · 2 fields
method
null
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
8094
completion_tokens
2751
cached_tokens
188
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:35646094
type
paper
label
pmid:35646094
[1] object · 3 fields
id
source:pmid:35646094
type
manuscript
label
PMID 35646094 full text
[2] object · 3 fields
id
data:geo:GSE1145
type
dataset
label
GEO GSE1145
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:35646094
type
paper
label
pmid:35646094
[1] object · 3 fields
id
source:pmid:35646094
type
manuscript
label
PMID 35646094 full text
[2] object · 3 fields
id
data:geo:GSE1145
type
dataset
label
GEO GSE1145
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35646094
type
extraction
used array · 1 item
[0]
source:pmid:35646094
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE1145
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE1145
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:35646094
parent_hash
sha256:ea2ec047cc93e02e101830adb9c51f392e52ef993dbd09b03f5f5686e6c708cb
fork_of
null
gaps array · 14 items
[0]
asset:data:geo:GSE1145 licence not read
[1]
asset:data:geo:GSE1145 not downloaded
[2]
asset:data:geo:GSE21610 licence not read
[3]
asset:data:geo:GSE21610 not downloaded
[4]
asset:data:geo:GSE29819 licence not read
[5]
asset:data:geo:GSE29819 not downloaded
[6]
asset:data:geo:GSE5406 licence not read
[7]
asset:data:geo:GSE5406 not downloaded
[8]
asset:data:geo:GSE57338 licence not read
[9]
asset:data:geo:GSE57338 not downloaded
[10]
execution.not_run
[11]
review.human_critique
[12]
review.independent_reader
[13]
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]
limma
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:35646094", "kind": "science-record", "revision": 4, "content_hash": "sha256:ad0ed9d388f13afe5e8c9271861a060b4224829d2d9343f284cf06217a3b5136", "created_at": "2026-11-01T18:14:34Z", "updated_at": "2026-11-01T22:06:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Verification of Feature Biomarkers Associated With Immune Cells in Dilated Cardiomyopathy by Bioinformatics Analysis.", "doi": "10.3389/fgene.2022.874544", "pmid": "35646094", "authors": ["Tingfang Zhu", "Mingjie Wang", "Jinwei Quan", "Zunhui Du", "Qiheng Li", "Yuan Xie", "Menglu Lin", "Cathy Xu", "Yucai Xie"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Objective: To explore immune-related feature genes in patients with dilated cardiomyopathy (DCM). Methods: Expression profiles from three datasets (GSE1145, GSE21610 and GSE21819) of human cardiac tissues of DCM and healthy controls were downloaded from the GEO database. After data preprocessing, differentially expressed genes (DEGs) were identified by the 'limma' package in R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were then performed to identify biological functions of the DEGs. The compositional patterns of stromal and immune cells were estimated using xCell. Hub genes and functional modules were identified based on protein-protein interaction (PPI) network analysis by STRING webtool and Cytoscape application. Correlation analysis was performed between immune cell subtypes and hub genes. Hub genes with |correlation coefficient| > 0.5 and p value <0.05 were selected as feature biomarkers. A logistic regression model was constructed based on the selected biomarkers and validated in datasets GSE5406 and GSE57338. Results: A total of 1,005 DEGs were identified. Functional enrichment analyses indicated that extracellular matrix remodeling and immune and inflammation disorder played important roles in the pathogenesis of DCM. Immune cells, including CD8+ T-cells, macrophages M1 and Th1 cells, were proved to be significantly changed in DCM patients by immune cell infiltration analysis. In the PPI network analysis, STAT3, IL6, CCL2, PIK3R1, ESR1, CCL5, IL17A, TLR2, BUB1B and MYC were identified as hub genes, among which CCL2, CCL5 and TLR2 were further screened as feature biomarkers by using hub genes and immune cells correlation analysis. A diagnosis model was successfully constructed by using the three biomarkers with area under the curve (AUC) scores 0.981, 0.867 and 0.946 in merged dataset, GSE5406 and GSE57338, respectively. Conclusion: The present study identified three immune-related genes as diagnostic biomarkers for DCM, providing a novel perspective of immune and inflammatory response for the exploration of DCM molecular mechanisms.", "claims": [{"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35646094", "locator": "sections[18] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified CCL2, CCL5, and TLR2 as diagnostic biomarkers and developed a three-gene diagnostic model for DCM with AUC values of 0.981, 0.867, and 0.946 in the merged dataset, GSE5406, and GSE57338, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35646094", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A diagnosis model was successfully constructed by using the three biomarkers with area under the curve (AUC) scores 0.981, 0.867 and 0.946 in merged dataset, GSE5406 and GSE57338, respectively."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified CCL2, CCL5, and TLR2 as diagnostic biomarkers and developed a three-gene diagnostic model for DCM with AUC values of 0.981, 0.867, and 0.946 in the merged dataset, GSE5406, and GSE57338, respectively.", "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:35646094"], "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:GSE1145"], "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:GSE1145"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35646094", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2022.874544", "sha256": "sha256:9354a7d8666988d11cf582664fb69dc012bc40689c538ca20f3cb8be4c0622d4", "bytes": 28101, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2022.874544", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9133742", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE1145", "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=GSE1145", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE1145", "version": null, "note": "Publicly available datasets were analyzed in this study. 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"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": true, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "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": ["GSE1145", "GSE21610", "GSE29819", "GSE5406", "GSE57338"], "resolved_accessions": ["GSE1145", "GSE21610", "GSE29819", "GSE5406", "GSE57338"], "statements": ["Publicly available datasets were analyzed in this study. This data can be found here: GSE1145; GSE21610; GSE29819; GSE5406; GSE57338."], "basis": "The paper names GSE1145, GSE21610, GSE29819, GSE5406, GSE57338 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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:35646094", "data:geo:GSE1145"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE1145"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:48:17Z", "independence": "single_reader"}, "evidence_check": {"method": null, "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 8094, "completion_tokens": 2751, "cached_tokens": 188}}, "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:35646094", "type": "paper", "label": "pmid:35646094"}, {"id": "source:pmid:35646094", "type": "manuscript", "label": "PMID 35646094 full text"}, {"id": "data:geo:GSE1145", "type": "dataset", "label": "GEO GSE1145"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35646094", "type": "paper", "label": "pmid:35646094"}, {"id": "source:pmid:35646094", "type": "manuscript", "label": "PMID 35646094 full text"}, {"id": "data:geo:GSE1145", "type": "dataset", "label": "GEO GSE1145"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35646094", "type": "extraction", "used": ["source:pmid:35646094"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE1145", "type": "accession_resolution", "used": ["data:geo:GSE1145"], "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:35646094", "parent_hash": "sha256:ea2ec047cc93e02e101830adb9c51f392e52ef993dbd09b03f5f5686e6c708cb", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE1145 licence not read", "asset:data:geo:GSE1145 not downloaded", "asset:data:geo:GSE21610 licence not read", "asset:data:geo:GSE21610 not downloaded", "asset:data:geo:GSE29819 licence not read", "asset:data:geo:GSE29819 not downloaded", "asset:data:geo:GSE5406 licence not read", "asset:data:geo:GSE5406 not downloaded", "asset:data:geo:GSE57338 licence not read", "asset:data:geo:GSE57338 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["limma"], "order_basis": "analysis_only", "id": "assay:1"}]}