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pmid:34592898

Transcriptomic analyses and experimental verification reveal potential biomarkers and biological pathways of urinary tract infection.

Wenbo Yang · Peng Liu · Yuling Zheng · Zhongtian Wang · Wenhua Huang · Hua Jiang · Qingyu Lv · Yuhao Ren · Yongqiang Jiang · Liping Sun

Bioengineered · 2021 doi:10.1080/21655979.2021.1987081

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Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34592898
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science-record
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paper object · 10 fields
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title
Transcriptomic analyses and experimental verification reveal potential biomarkers and biological pathways of urinary tract infection.
doi
10.1080/21655979.2021.1987081
pmid
34592898
authors array · 10 items
[0]
Wenbo Yang
[1]
Peng Liu
[2]
Yuling Zheng
[3]
Zhongtian Wang
[4]
Wenhua Huang
[5]
Hua Jiang
[6]
Qingyu Lv
[7]
Yuhao Ren
[8]
Yongqiang Jiang
[9]
Liping Sun
journal
Bioengineered
year
2021
abstract
Urinary tract infection (UTI) is a common infectious disease. Urinary tract pathogenic Escherichia coli (UPEC) is the main cause of UTIs. At present, antibiotics are mainly used for the treatment of UTIs. However, with the increase of drug resistance, the course of the disease is prolonged. Therefore, identifying the receptors and signal pathways of host cells and tissues will further our understanding of the pathogenesis of UTIs and help in the development of new drug treatments. We used two public microarray datasets (GSE43790, GSE124917) in the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) between UTI and normal cell samples. A functional analysis based on Gene Ontology (GO) data, a pathway enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes (KEGG) data and a protein-protein interaction analysis identified the main potential biomarkers and verified them in animal tissues. A total of 147 up-regulated genes and 40 down-regulated genes were identified. GO enrichment analysis showed that these functional changes relate to the terms response to lipopolysaccharide, regulation of cytokine production, and regulation of the inflammatory response. KEGG analysis indicated that urinary tract infections likely involve the TNF-αsignaling pathways. The 20 hub genes were selected from the protein-protein interaction network, and the highly significant hub genes were verified by animal experiments. Our findings provide potential targets for exploring new treatments for urinary tract infections. After a comprehensive analysis of the GEO database, these results may facilitate development of new diagnosis and treatment strategies for urinary tract infections.
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The online difference analysis tool GEO2R [9] was used to find DEGs shared between the normal and UPEC-infected samples.
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sections[4] "Identification of DEGs" paragraph 2
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The online difference analysis tool GEO2R [9] was used to find DEGs shared between the normal and UPEC-infected samples.
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GSE43790 is derived from GPL6947 (Illumina HumanHT-12 V3.0 expression beadchip) and has three normal samples and five samples infected by UPEC [7].
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Human renal fibroblasts are strong immunomobilizers during a urinary tract infection mediated by uropathogenic Escherichia coli
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Expression data profile of A498 cells inoculated with E. coli 83972 and E. coli CFT073
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KEGG and GO enrichment analyses of DEGs
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GO and KEGG pathway enrichment analysis of the most important items in hub genes
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Pathway ID
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[0]
GO-BP
[1]
GO:0032496
[2]
response to lipopolysaccharide
[3]
29
[4]
2.95121E-24
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[0]
GO-BP
[1]
GO:0001817
[2]
regulation of cytokine production
[3]
31
[4]
1.69824E-15
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[0]
GO-BP
[1]
GO:0007159
[2]
leukocyte cell-cell adhesion
[3]
22
[4]
5.24807E-15
[4] array · 5 items
[0]
GO-BP
[1]
GO:0031349
[2]
positive regulation of defense response
[3]
25
[4]
1.99526E-14
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[0]
GO-BP
[1]
GO:0050727
[2]
regulation of inflammatory response
[3]
24
[4]
1.25893E-13
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GO:0098552
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17
[4]
7.58578E-07
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[2]
cytoplasmic side of plasma membrane
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[4]
0.001
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cytokine receptor binding
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18
[4]
3.01995E-13
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[0]
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GO:0051019
[2]
mitogen-activated protein kinase binding
[3]
5
[4]
2.81838E-06
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GO:0001228
[2]
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[3]
13
[4]
9.12011E-06
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GO-MF
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GO:0002020
[2]
protease binding
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6
[4]
0.000245471
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GO-MF
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GO:0001883
[2]
purine nucleoside binding
[3]
10
[4]
0.00025704
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KEGG-PATHWAY
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hsa04668
[2]
TNF signaling pathway
[3]
28
[4]
3.16228E-36
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[2]
NOD-like receptor signaling pathway
[3]
21
[4]
8.51138E-21
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KEGG-PATHWAY
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ko04060
[2]
Cytokine-cytokine receptor interaction
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21
[4]
1.28825E-16
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KEGG-PATHWAY
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hsa05200
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[3]
24
[4]
8.51138E-13
[20] array · 5 items
[0]
KEGG-PATHWAY
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hsa04217
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necroptosis
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13
[4]
1.04713E-10
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Primers used in this study
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Tissue specimens, Real Time-PCR, and ELISA analysis
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Table 1.
caption
Primers used in this study
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TNF
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[2]
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AGTTGACGGACCCCAAAAGA
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GO and KEGG pathway enrichment analysis of the most important items in hub genes
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KEGG and GO enrichment analyses of DEGs
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Table 2.
caption
GO and KEGG pathway enrichment analysis of the most important items in hub genes
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response to lipopolysaccharide
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[4]
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GO-BP
[1]
GO:0001817
[2]
regulation of cytokine production
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[4]
1.69824E-15
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GO-BP
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GO:0007159
[2]
leukocyte cell-cell adhesion
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22
[4]
5.24807E-15
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GO-BP
[1]
GO:0031349
[2]
positive regulation of defense response
[3]
25
[4]
1.99526E-14
[5] array · 5 items
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GO-BP
[1]
GO:0050727
[2]
regulation of inflammatory response
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24
[4]
1.25893E-13
[6] array · 5 items
[0]
GO-CC
[1]
GO:0098552
[2]
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[4]
7.58578E-07
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GO:0033256
[2]
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[4]
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[8] array · 5 items
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GO-CC
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[2]
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9.54993E-05
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GO-CC
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GO:0009898
[2]
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6
[4]
0.000870964
[10] array · 5 items
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GO-CC
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GO:0036464
[2]
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[4]
0.001
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[0]
GO-MF
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GO:0005126
[2]
cytokine receptor binding
[3]
18
[4]
3.01995E-13
[12] array · 5 items
[0]
GO-MF
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GO:0051019
[2]
mitogen-activated protein kinase binding
[3]
5
[4]
2.81838E-06
[13] array · 5 items
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GO-MF
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GO:0001228
[2]
DNA-binding transcription activator activity,RNA polymerase II-specific
[3]
13
[4]
9.12011E-06
[14] array · 5 items
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GO-MF
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GO:0002020
[2]
protease binding
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6
[4]
0.000245471
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GO-MF
[1]
GO:0001883
[2]
purine nucleoside binding
[3]
10
[4]
0.00025704
[16] array · 5 items
[0]
KEGG-PATHWAY
[1]
hsa04668
[2]
TNF signaling pathway
[3]
28
[4]
3.16228E-36
[17] array · 5 items
[0]
KEGG-PATHWAY
[1]
ko04621
[2]
NOD-like receptor signaling pathway
[3]
21
[4]
8.51138E-21
[18] array · 5 items
[0]
KEGG-PATHWAY
[1]
ko04060
[2]
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[3]
21
[4]
1.28825E-16
[19] array · 5 items
[0]
KEGG-PATHWAY
[1]
hsa05200
[2]
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[3]
24
[4]
8.51138E-13
[20] array · 5 items
[0]
KEGG-PATHWAY
[1]
hsa04217
[2]
necroptosis
[3]
13
[4]
1.04713E-10
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The most significant upregulated and downregulated genes in DEGs
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PMC8806911
section_index
11
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PPI network construction and hub gene identification
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Table 3.
caption
The most significant upregulated and downregulated genes in DEGs
rows array · 22 items
[0] array · 5 items
[0]
Gene symbol
[1]
Gene description
[2]
logFC
[3]
P value
[4]
Regulation
[1] array · 7 items
[0]
[1]
[2]
GSE43790
[3]
GSE124917
[4]
GSE43790
[5]
GSE124917
[6]
[2] array · 7 items
[0]
CXCL8
[1]
Interleukin-8
[2]
4.37
[3]
5.37
[4]
2.63E-09
[5]
9.54E-08
[6]
Upregulated
[3] array · 7 items
[0]
RELA
[1]
Transcription factor p65
[2]
1.27
[3]
2.25
[4]
7.33E-04
[5]
7.27E-06
[6]
Upregulated
[4] array · 7 items
[0]
CXCL1
[1]
Growth-regulated alpha protein
[2]
4.88
[3]
5.73
[4]
1.85E-07
[5]
5.73E-05
[6]
Upregulated
[5] array · 7 items
[0]
TNF
[1]
Tumor necrosis factor
[2]
3.34
[3]
4.56
[4]
2.20E-06
[5]
1.37E-02
[6]
Upregulated
[6] array · 7 items
[0]
NFKB1
[1]
Nuclear factor NF-kappa-B p105 subunit
[2]
1.53
[3]
2.01
[4]
4.27E-04
[5]
8.94E-06
[6]
Upregulated
[7] array · 7 items
[0]
CXCL2
[1]
C-X-C motif chemokine 2
[2]
3.76
[3]
5.98
[4]
7.24E-08
[5]
2.01E-06
[6]
Upregulated
[8] array · 7 items
[0]
C3
[1]
Complement C3
[2]
1.18
[3]
4.30
[4]
8.46E-03
[5]
1.45E-04
[6]
Upregulated
[9] array · 7 items
[0]
SAA1
[1]
Serum amyloid A-1 protein
[2]
1.07
[3]
4.13
[4]
4.91E-03
[5]
3.86E-02
[6]
Upregulated
[10] array · 7 items
[0]
CCL5
[1]
C-C motif chemokine 5
[2]
1.39
[3]
10.65
[4]
1.60E-02
[5]
8.65E-07
[6]
Upregulated
[11] array · 7 items
[0]
CXCL10
[1]
C-X-C motif chemokine 10
[2]
3.66
[3]
14.04
[4]
7.13E-06
[5]
1.58E-08
[6]
Upregulated
[12] array · 7 items
[0]
IL6
[1]
Interleukin-6
[2]
4.01
[3]
3.79
[4]
6.15E-08
[5]
3.07E-05
[6]
Upregulated
[13] array · 7 items
[0]
CCL20
[1]
C-C motif chemokine 20
[2]
5.61
[3]
7.37
[4]
1.99E-07
[5]
4.61E-05
[6]
Upregulated
[14] array · 7 items
[0]
IL1B
[1]
Interleukin-1 beta
[2]
2.87
[3]
6.27
[4]
1.19E-04
[5]
2.93E-04
[6]
Upregulated
[15] array · 7 items
[0]
BDKRB2
[1]
B2 bradykinin receptor
[2]
1.93
[3]
1.43
[4]
1.47E-05
[5]
3.41E-02
[6]
Upregulated
[16] array · 7 items
[0]
GPER1
[1]
G-protein coupled estrogen receptor 1
[2]
−1.62
[3]
−1.41
[4]
1.12E-02
[5]
3.57E-04
[6]
Downregulated
[17] array · 7 items
[0]
S1PR5
[1]
Sphingosine 1-phosphate receptor 5
[2]
−1.78
[3]
−1.98
[4]
6.58E-04
[5]
3.26E-02
[6]
Downregulated
[18] array · 7 items
[0]
BDKRB1
[1]
B1 bradykinin receptor
[2]
3.09
[3]
3.53
[4]
1.45E-05
[5]
2.35E-05
[6]
Upregulated
[19] array · 7 items
[0]
CX3CL1
[1]
Fractalkine
[2]
3.63
[3]
6.18
[4]
2.39E-05
[5]
2.34E-06
[6]
Upregulated
[20] array · 7 items
[0]
BIRC3
[1]
Baculoviral IAP repeat-containing protein 3
[2]
3.04
[3]
5.29
[4]
3.96E-09
[5]
5.30E-06
[6]
Upregulated
[21] array · 7 items
[0]
ADORA1
[1]
Adenosine receptor A1
[2]
−1.02
[3]
−1.06
[4]
9.53E-03
[5]
1.13E-02
[6]
Downregulated
locator
section[11]/table-wrap[1]#t0003
gaps array · 4 items
[0]
asset:data:geo:GSE124917 not downloaded
[1]
asset:data:geo:GSE124917 licence not read
[2]
asset:data:geo:GSE43790 not downloaded
[3]
asset:data:geo:GSE43790 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
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
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
family
null
specific
null
label
GEO2R
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
The online difference analysis tool GEO2R [9] was used to find DEGs shared between the normal and UPEC-infected samples.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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: ppi_network.
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]
GSE43790
[1]
GSE124917
resolved_accessions array · 2 items
[0]
GSE43790
[1]
GSE124917
statements array · 1 item
[0]
GSE43790 is derived from GPL6947 (Illumina HumanHT-12 V3.0 expression beadchip) and has three normal samples and five samples infected by UPEC [7].
basis
The paper names GSE43790, GSE124917 in NCBI 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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 6 items
[0]
source:pmid:34592898
[1]
data:geo:GSE124917
[2]
asset:table:pmid:34592898:1
[3]
asset:table:pmid:34592898:2
[4]
asset:table:pmid:34592898:3
[5]
asset:table:pmid:34592898:4
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:GSE124917
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
2026-10-31T19:50:54Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
12155
completion_tokens
1144
cached_tokens
528
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:34592898
type
paper
label
pmid:34592898
[1] object · 3 fields
id
source:pmid:34592898
type
manuscript
label
PMID 34592898 full text
[2] object · 3 fields
id
data:geo:GSE124917
type
dataset
label
GEO GSE124917
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:34592898
type
paper
label
pmid:34592898
[1] object · 3 fields
id
source:pmid:34592898
type
manuscript
label
PMID 34592898 full text
[2] object · 3 fields
id
data:geo:GSE124917
type
dataset
label
GEO GSE124917
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34592898
type
extraction
used array · 1 item
[0]
source:pmid:34592898
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE124917
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE124917
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:34592898
parent_hash
sha256:308fca4ae4f36a1a5467feeeec737504d9d83331876e7dd55762c6067e5f3adf
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE124917 licence not read
[1]
asset:data:geo:GSE124917 not downloaded
[2]
asset:data:geo:GSE43790 licence not read
[3]
asset:data:geo:GSE43790 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
t of new drug treatments. We used two public microarray datasets (GSE43790, GSE124917) in the Gene E
order_basis
paper_text_order:594
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
protein-protein interaction
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34592898", "kind": "science-record", "revision": 6, "content_hash": "sha256:8ae93849551dfa25e3a759a25d409a6492214553dd0ceaa86d6c2df1d92ed02c", "created_at": "2026-11-01T15:41:54Z", "updated_at": "2026-11-01T22:04:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Transcriptomic analyses and experimental verification reveal potential biomarkers and biological pathways of urinary tract infection.", "doi": "10.1080/21655979.2021.1987081", "pmid": "34592898", "authors": ["Wenbo Yang", "Peng Liu", "Yuling Zheng", "Zhongtian Wang", "Wenhua Huang", "Hua Jiang", "Qingyu Lv", "Yuhao Ren", "Yongqiang Jiang", "Liping Sun"], "journal": "Bioengineered", "year": 2021, "abstract": "Urinary tract infection (UTI) is a common infectious disease. Urinary tract pathogenic Escherichia coli (UPEC) is the main cause of UTIs. At present, antibiotics are mainly used for the treatment of UTIs. However, with the increase of drug resistance, the course of the disease is prolonged. Therefore, identifying the receptors and signal pathways of host cells and tissues will further our understanding of the pathogenesis of UTIs and help in the development of new drug treatments. We used two public microarray datasets (GSE43790, GSE124917) in the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) between UTI and normal cell samples. A functional analysis based on Gene Ontology (GO) data, a pathway enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes (KEGG) data and a protein-protein interaction analysis identified the main potential biomarkers and verified them in animal tissues. A total of 147 up-regulated genes and 40 down-regulated genes were identified. GO enrichment analysis showed that these functional changes relate to the terms response to lipopolysaccharide, regulation of cytokine production, and regulation of the inflammatory response. KEGG analysis indicated that urinary tract infections likely involve the TNF-αsignaling pathways. The 20 hub genes were selected from the protein-protein interaction network, and the highly significant hub genes were verified by animal experiments. Our findings provide potential targets for exploring new treatments for urinary tract infections. After a comprehensive analysis of the GEO database, these results may facilitate development of new diagnosis and treatment strategies for urinary tract infections.", "claims": [{"id": "claim-method", "statement": "The online difference analysis tool GEO2R [9] was used to find DEGs shared between the normal and UPEC-infected samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34592898", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "The online difference analysis tool GEO2R [9] was used to find DEGs shared between the normal and UPEC-infected samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE43790 is derived from GPL6947 (Illumina HumanHT-12 V3.0 expression beadchip) and has three normal samples and five samples infected by UPEC [7].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34592898", "locator": "sections[3] \"Gene expression omnibus datasets\" paragraph 2", "quote": "GSE43790 is derived from GPL6947 (Illumina HumanHT-12 V3.0 expression beadchip) and has three normal samples and five samples infected by UPEC [7]."}], "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:34592898"], "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:GSE124917"], "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:GSE124917"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34592898", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1080/21655979.2021.1987081", "sha256": 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and five samples infected by UPEC [7].", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "GSE43790 is derived from GPL6947 (Illumina HumanHT-12 V3.0 expression beadchip) and has three normal samples and five samples infected by UPEC [7].", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM3559367", "GSM3559368", "GSM3559369", "GSM3559370", "GSM3559371", "GSM3559372"], "sample_count": 6, "group_sizes": null, "group_sizes_basis": null, "platform": "21185", "taxon": "Homo sapiens", "title": "Human renal fibroblasts are strong immunomobilizers during a urinary tract infection mediated by uropathogenic Escherichia coli", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE43790", "role": "raw", "format": "geo-series", "media_type": 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in DEGs", "structure": {"pmcid": "PMC8806911", "section_index": 11, "section_title": "PPI network construction and hub gene identification", "row_count": 22, "column_count": 7}, "table": {"label": "Table 3.", "caption": "The most significant upregulated and downregulated genes in DEGs", "rows": [["Gene symbol", "Gene description", "logFC", "P value", "Regulation"], ["", "", "GSE43790", "GSE124917", "GSE43790", "GSE124917", ""], ["CXCL8", "Interleukin-8", "4.37", "5.37", "2.63E-09", "9.54E-08", "Upregulated"], ["RELA", "Transcription factor p65", "1.27", "2.25", "7.33E-04", "7.27E-06", "Upregulated"], ["CXCL1", "Growth-regulated alpha protein", "4.88", "5.73", "1.85E-07", "5.73E-05", "Upregulated"], ["TNF", "Tumor necrosis factor", "3.34", "4.56", "2.20E-06", "1.37E-02", "Upregulated"], ["NFKB1", "Nuclear factor NF-kappa-B p105 subunit", "1.53", "2.01", "4.27E-04", "8.94E-06", "Upregulated"], ["CXCL2", "C-X-C motif chemokine 2", "3.76", "5.98", "7.24E-08", "2.01E-06", "Upregulated"], 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