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pmid:28794464

Expression changes in pelvic organ prolapse: a systematic review and in silico study.

Maryam B Khadzhieva · Dmitry S Kolobkov · Svetlana V Kamoeva · Lyubov E Salnikova

Scientific reports · 2017 doi:10.1038/s41598-017-08185-6

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Experiment

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:28794464
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2026-11-01T15:40:27Z
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paper object · 10 fields
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title
Expression changes in pelvic organ prolapse: a systematic review and in silico study.
doi
10.1038/s41598-017-08185-6
pmid
28794464
authors array · 4 items
[0]
Maryam B Khadzhieva
[1]
Dmitry S Kolobkov
[2]
Svetlana V Kamoeva
[3]
Lyubov E Salnikova
journal
Scientific reports
year
2017
abstract
Pelvic organ prolapse (POP) is a highly disabling condition common for a vast number of women worldwide. To contribute to existing knowledge in POP pathogenesis, we performed a systematic review of expression studies on both specific gene and whole-genome/proteome levels and an in silico analysis of publicly available datasets related to POP development. The most extensively investigated genes in individual studies were related to extracellular matrix (ECM) organization. Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed; Gene Ontology (GO) terms related to tissue repair (locomotion, biological adhesion, immune processes and other) were enriched in all five datasets. Co-expression was higher in cases than in controls in three premenopausal sets. The shared between two or more datasets up-regulated genes were enriched with those related to inflammatory bowel disease (IBD) in the NHGRI GWAS Catalog. ECM-related genes were not over-represented among differently expressed genes. Up-regulation of genes related to tissue renewal probably reflects compensatory mechanisms aimed at repair of damaged tissue. Inefficiency of this process may have different origins including age-related deregulation of gene expression.
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Results of two studies submitted to the repository Gene Expression Omnibus (GEO) were processed with GEO2R – an interactive web tool which exploits Limma R packages from Bioconductor project17 for comparison of user-defined groups of samples under the same experimental conditions (http://www.ncbi.nlm.nih.gov/geo/geo2r/).
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sections[13] "Microarray data processing" paragraph 2
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Results of two studies submitted to the repository Gene Expression Omnibus (GEO) were processed with GEO2R – an interactive web tool which exploits Limma R packages from Bioconductor project17 for comparison of user-defined groups of samples under the same experimental conditions (http://www.ncbi.nlm.nih.gov/geo/geo2r/).
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Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed;
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Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed;
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The paper combined a systematic review with in silico analysis of two public GEO studies, GSE53868 and GSE12852; GEO2R with Limma was used for microarray comparisons, and KOBAS 3.0 with REVIGO was used for gene-set enrichment analysis and GO-term summarization. No numerical result was reported specifically for this methodological target.
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sections[0] "Abstract" paragraph 1
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To contribute to existing knowledge in POP pathogenesis, we performed a systematic review of expression studies on both specific gene and whole-genome/proteome levels and an in silico analysis of publicly available datasets related to POP development.
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sections[0] "Abstract" paragraph 1
quote
Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed; Gene Ontology (GO) terms related to tissue repair (locomotion, biological adhesion, immune processes and other) were enriched in all five datasets.
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sections[13] "Microarray data processing" paragraph 2
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Results of two studies submitted to the repository Gene Expression Omnibus (GEO) were processed with GEO2R – an interactive web tool which exploits Limma R packages from Bioconductor project17 for comparison of user-defined groups of samples under the same experimental conditions (http://www.ncbi.nlm.nih.gov/geo/geo2r/).
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sections[14] "Gene set enrichment analysis" paragraph 2
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These gene sets were treated with KOBAS 3.0 resource7 for Gene Ontology (GO) enrichment analysis.
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sections[14] "Gene set enrichment analysis" paragraph 2
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Web server REVIGO was utilized for summarizing GO terms, which was guided by the P-value9.
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The paper combined a systematic review with in silico analysis of two public GEO studies, GSE53868 and GSE12852; GEO2R with Limma was used for microarray comparisons, and KOBAS 3.0 with REVIGO was used for gene-set enrichment analysis and GO-term summarization. No numerical result was reported specifically for this methodological target.
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Gene expression profile in pelvic organ prolapse
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Micro-array analysis of the anterior vaginal wall from premenopausal patients with Pelvic Organ Prolapse (POP)
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Characteristics of the whole genome/proteome studies of POP.
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PMC5550478
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4
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Overview of whole genome/proteome studies of POP
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Table 1
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Characteristics of the whole genome/proteome studies of POP.
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[0] array · 7 items
[0]
Dataset
[1]
Number of samples (age/MP status)
[2]
Analysis
[3]
DEG (DEP)
[4]
Main findingsa
[5]
Confirmation of whole genome/proteome data
[6]
Reference
[1] array · 7 items
[0]
Pubococcygeus muscle in Caucasian POP patients and mixed ethnicity controls
[1]
5 cases (58.9 ± 5.5); 5 controls (45.5 ± 11.4)
[2]
Microarray gene expression
[3]
Down-regulation in POP patients: FC > 2.0, 257 genes; FC > 5, 20 genes; FC > 10, 3 genes. Up-regulation in POP patients: FC > 2.0, 479 genes; FC > 5, 18 genes; FC > 10, 2 genes.
[4]
The genes MYBPH (FC 24.7), MYH3 (FC 17.4) and COMP (FC 6.0) were down-regulated, while smooth muscle myosin heavy chain (FC 11.8), MLCK (FC 5.77) and TNC (FC 5.1) genes were up-regulated in POP patients in comparison with controls.
[5]
No
[6]
10
[2] array · 7 items
[0]
Full-thickness vaginal wall biopsies from patients with POP and age-, parity -, and body mass index -matched controlsb
[1]
5 PrM cases, 5 PrM controls
[2]
Microarray gene expression
[3]
Upregulated genes (n = 50) comprised those involved in smooth muscle contraction, proteolysis, response to oxidative stress, transcriptional regulation, cytoskeletal organization, and lipid catabolism.
[4]
The PPP1R12A and ADAMTS1 genes were up-regulated 2.4 and 4-fold in cases compared to controls.
[5]
mRNA analysis for 4 matched pairs of POP/control tissues
[6]
12
[3] array · 7 items
[0]
USLs and RLs from mixed ethnicity patients with uterine prolapse (POP-Q stage ≥ 2) and controls
[1]
8 POP patients (5 PrM and 3 PM); 9 controls (6 PrM and 3 PM)
[2]
Microarray gene expression
[3]
In a combined analysis of expression changes in USLs and RLs, 1521 genes were up-regulated and 1193 genes were down-regulated with FC change 1.5. 249 up-regulated gene probes met FDR criteria ≤ 5.18.
[4]
After FDR correction for multiple testing, genes enriched for ‘immunity and defense’ were up-regulated in POP patients.
[5]
qRT-PCR Up-regulation in POP patients: IL-6 (FC 9.8), ATF3 (FC 2.6), THBS1 (FC 3.5) and PTGS2 (FC 2.4)
[6]
13
[4] array · 7 items
[0]
Pubocervical fascia from females with POP and SUI and from asymptomatic controlsb
[1]
4 cases (PM); 3 controls (PM)
[2]
Proteomic analysis (two-dimensional electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry)
[3]
7 proteins with an expression FC more than two (3.8 ─ 54.3-fold).
[4]
The expression levels of transgelin (FC 54.3), smooth muscle gamma-actin (FC 6.3), myosin light polypeptide 6 (FC 4.4), and alpha-1 antitrypsin precursor (FC 4.3) were higher in patients than in controls.
[5]
2-DE western blot analysis for transgelin
[6]
11
[5] array · 7 items
[0]
USLs from Asian women with POP-Q stage 3-4 (cases) or 0-1 (controls)
[1]
12 cases (PM), 5 controls (PM)
[2]
Microarray gene expression
[3]
143 genes were up-regulated and 87 genes were down-regulated with FC > 1.5 (P < 0.05).
[4]
The expression levels of ESRRA (FC 0.434) decreased, while the expression levels of DAPK2 (FC 2.013), IL15 (FC 2.1) and STAP2 (FC 2.392) increased in POP patients compared with controls.
[5]
qRT-PCR for the genes ESRRA, DAPK2, IL15, STAP2
[6]
14
[6] array · 7 items
[0]
USLs from patients with uterine prolapse and controlsb
[1]
16 POP patients (15 patients PM); 9 controls (7 females PM)
[2]
Microarray gene expression
[3]
21 up-regulated and 7 down-regulated genes with FC > 2.0 were found in patients with POP compared to the control group.
[4]
Down-regulation in POP patients compared with controls after FDR correction for multiple testing: NKX2-3 (FC 2.6) in the whole set; KIF11 (FC 1.3) in patients with ≥ 3 deliveries compared to patients with < 3 deliveries; UGT1A1 (FC 1.4), SCARB1 (FC 3.2) and NKX2-3 (FC 6.2) in PrM patients compared to PrM controls; UGT1A1 (FC 1.1) in PM patients compared to PM controls.
[5]
No
[6]
15
[7] array · 7 items
[0]
USL samples of patients with stage II to stage IV POP (mean age 61 years) and normal controls (mean age 55 years)b
[1]
No data
[2]
RNA-seq (a HiSeqTM 2500 platform (Illumina))
[3]
After FDR-correction, a total of 81 genes had different expression patterns in POP patients and controls. Sixty-six DEGs did not differ between the POP samples with different stages
[4]
Canonical Wnt receptor signaling pathway was the most significantly enriched GO term (P- value = 3.33E-07), and neuroactive ligand-receptor interaction was the most significantly enriched pathway (P- value = 1.24E-03).
[5]
No
[6]
16
locator
section[4]/table-wrap[1]#Tab1
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Characteristics of the POP datasets in the Gene Expression Omnibus (GEO) database repository.
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Overview of available GEO datasets for POP
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Table 2
caption
Characteristics of the POP datasets in the Gene Expression Omnibus (GEO) database repository.
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[0] array · 7 items
[0]
Dataset
[1]
Reference
[2]
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[3]
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[4]
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[5]
Number of DEGa with FDR-corrected P - value < 0.05
[6]
Number of DEGa with FC ≥ 2.0 and P - value < 0.05 (uncorrected for multiplicity)
[1] array · 7 items
[0]
PrM Caucasian women (cystocele POP-Q stage ≥ 2), n = 12
[1]
Citation missing
[2]
AVW (POP site) versus precervical AVW (non POP site)
[3]
12 women (24 samples)
[4]
GSE53868; GPL18142 Agilent-014850 WHGM 4 × 44K G4112F
[5]
50 (↑ 31; ↓ 19)
[6]
74 (↑ 58; ↓16)
[2] array · 7 items
[0]
PrM POP women, n = 5b
[1]
Brizzolara et al.13
[2]
RLs
[3]
5
[4]
GSE12852; GPL2986 ABI Human Genome Survey Microarray Version 2
[5]
PrM_RLs set 0
[6]
PrM_RLs set 287 (↑ 246; ↓ 41)
[3] array · 2 items
[0]
USLs
[1]
5
[4] array · 5 items
[0]
PrM controls, n = 6b
[1]
RLs
[2]
6
[3]
PrM_USLs set 0
[4]
PrM_USLs set 972 (↑ 949; ↓23)
[5] array · 2 items
[0]
USL
[1]
6
[6] array · 5 items
[0]
PM POP women, n = 3b
[1]
RL
[2]
3
[3]
PM_RLs set 0
[4]
PM_RLs set 485 (↑ 345; ↓ 140)
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[0]
USL
[1]
3
[8] array · 5 items
[0]
PM controls, n = 3b
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RL
[2]
3
[3]
PM_USLs set 2 (↑ 2; ↓ 0)
[4]
PM_USLs set 494(↑ 263; ↓ 231)
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[0]
USL
[1]
3
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The results of gene set enrichment analysis for shared genes up-regulated in POP tissues.
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Enrichment analysis (GO, KEGG, GWAS Catalog) for the shared gene set
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Table 3
caption
The results of gene set enrichment analysis for shared genes up-regulated in POP tissues.
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[0] array · 6 items
[0]
Term
[1]
Input number
[2]
Background number
[3]
P - value
[4]
Corrected P - value
[5]
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[1] array · 1 item
[0]
KEGG Pathway
[2] array · 6 items
[0]
Malaria (hsa05144)
[1]
7
[2]
49
[3]
1,25E-09
[4]
1,93E-07
[5]
COMP, ICAM1, IL6, CXCL8, CCL2, THBS1, THBS4
[3] array · 6 items
[0]
Influenza A (hsa05164)
[1]
8
[2]
176
[3]
3,48E-07
[4]
2,69E-05
[5]
NLRP3, ICAM1, IL6, CXCL8, NXF3, CCL2, SOCS3, RSAD2
[4] array · 6 items
[0]
Rheumatoid arthritis (hsa05323)
[1]
5
[2]
91
[3]
2,51E-05
[4]
1,19E-03
[5]
CTSK, ICAM1, IL6, CXCL8, CCL2
[5] array · 6 items
[0]
PI3K-Akt signaling pathway (hsa04151)
[1]
8
[2]
342
[3]
3,91E-05
[4]
1,19E-03
[5]
CDKN1A, COMP, GNGT1, IL6, MCL1, PPP2R2C, THBS1, THBS4
[6] array · 6 items
[0]
AGE-RAGE signaling pathway in diabetic complications (hsa04933)
[1]
5
[2]
101
[3]
4,04E-05
[4]
1,19E-03
[5]
ICAM1, IL6, CXCL8, SERPINE1, CCL2
[7] array · 6 items
[0]
Chagas disease (American trypanosomiasis)
[1]
5
[2]
104
[3]
4,62E-05
[4]
1,19E-03
[5]
IL6, CXCL8, SERPINE1, PPP2R2C, CCL2
[8] array · 6 items
[0]
Hepatitis C (hsa05142)
[1]
5
[2]
133
[3]
1,41E-04
[4]
2,43E-03
[5]
CDKN1A, CXCL8, LDLR, PPP2R2C, SOCS3
[9] array · 6 items
[0]
Hepatitis B (hsa05161)
[1]
5
[2]
146
[3]
2,15E-04
[4]
3,32E-03
[5]
CDKN1A, EGR2, EGR3, IL6, CXCL8
[10] array · 6 items
[0]
Phagosome (hsa04145)
[1]
5
[2]
155
[3]
2,80E-04
[4]
3,95E-03
[5]
COMP, FCAR, THBS1, THBS4, COLEC11
[11] array · 6 items
[0]
HTLV-I infection (hsa05166)
[1]
6
[2]
259
[3]
3,90E-04
[4]
4,91E-03
[5]
CDKN1A, EGR2, ICAM1, IL6, ATF3, IL1R2
[12] array · 6 items
[0]
Transcriptional misregulation in cancer (hsa05202)
[1]
5
[2]
180
[3]
5,44E-04
[4]
5,63E-03
[5]
CDKN1A, IL6, CXCL8, IL1R2, NR4A3
[13] array · 6 items
[0]
Herpes simplex infection (hsa05168)
[1]
5
[2]
186
[3]
6,29E-04
[4]
6,09E-03
[5]
IL6, NXF3, CCL2, TNFSF14, SOCS3
[14] array · 6 items
[0]
Cytokine-cytokine receptor interaction (hsa04060)
[1]
5
[2]
265
[3]
2,89E-03
[4]
2,03E-02
[5]
IL6, CXCL8, CCL2, IL1R2, TNFSF14
[15] array · 6 items
[0]
Pathways in cancer (hsa05200)
[1]
6
[2]
397
[3]
3,31E-03
[4]
2,13E-02
[5]
CDKN1A, CKS2, GNGT1, IL6, CXCL8, BDKRB1
[16] array · 1 item
[0]
The NHGRI GWAS Catalog
[17] array · 6 items
[0]
Inflammatory bowel disease
[1]
9
[2]
271
[3]
8,03E-07
[4]
1,26E-04
[5]
BORCS5, CCL2, CXCL8, ICAM1, IL1R2, NFIL3, PTPRC, SLC11A1, SLC22A4
[18] array · 6 items
[0]
Crohn’s disease
[1]
6
[2]
256
[3]
3,68E-04
[4]
1,15E-02
[5]
SLC22A4, ICAM1, CCL2, TAGAP, PTPRC, CNNM1
locator
section[8]/table-wrap[1]#Tab3
gaps array · 4 items
[0]
asset:data:geo:GSE12852 not downloaded
[1]
asset:data:geo:GSE12852 licence not read
[2]
asset:data:geo:GSE53868 not downloaded
[3]
asset:data:geo:GSE53868 licence not read
analysis object · 4 fields
state
complete
methods array · 2 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
Results of two studies submitted to the repository Gene Expression Omnibus (GEO) were processed with GEO2R – an interactive web tool which exploits Limma R packages from Bioconductor project17 for comparison of user-defined groups of samples under the same experimental conditions (http://www.ncbi.nlm.nih.gov/geo/geo2r/).
[1] object · 10 fields
id
method-2
family
genetic_association
specific
gwas
label
Genetic association (GWAS / linkage / MR)
dsl_operations array · 1 item
[0]
gwas_locus_scan
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
genotype_phenotype_table
evidence object · 3 fields
score
0.7
band
medium
quote
GWAS
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]
GSE53868
[1]
GSE12852
resolved_accessions array · 2 items
[0]
GSE53868
[1]
GSE12852
statements array · 1 item
[0]
Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed;
basis
The paper names GSE53868, GSE12852 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 · 5 items
[0]
source:pmid:28794464
[1]
data:geo:GSE12852
[2]
asset:table:pmid:28794464:1
[3]
asset:table:pmid:28794464:2
[4]
asset:table:pmid:28794464:3
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:GSE12852
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
2026-10-31T18:31:51Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
8
usage object · 3 fields
prompt_tokens
75973
completion_tokens
4539
cached_tokens
19993
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:28794464
type
paper
label
pmid:28794464
[1] object · 3 fields
id
source:pmid:28794464
type
manuscript
label
PMID 28794464 full text
[2] object · 3 fields
id
data:geo:GSE12852
type
dataset
label
GEO GSE12852
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:28794464
type
paper
label
pmid:28794464
[1] object · 3 fields
id
source:pmid:28794464
type
manuscript
label
PMID 28794464 full text
[2] object · 3 fields
id
data:geo:GSE12852
type
dataset
label
GEO GSE12852
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-28794464
type
extraction
used array · 1 item
[0]
source:pmid:28794464
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE12852
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE12852
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:28794464
parent_hash
sha256:1fe660b681d8295f81e7398d67343b884a5c7a2c4d23af2bf2e20a0b3eb3fd28
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE12852 licence not read
[1]
asset:data:geo:GSE12852 not downloaded
[2]
asset:data:geo:GSE53868 licence not read
[3]
asset:data:geo:GSE53868 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
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support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
Materials and Methods Microarray data processing Results of two studies submi
order_basis
paper_text_order:1395
id
assay:1
[1] object · 11 fields
role
analysis
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differential_expression
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f2132e96ae6c7a4e
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normalise_counts
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differential_expression_fit
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fdr_bh
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supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Results of two studies submitted to the repository Gene Expression Omnibus (GEO) were processed with GEO2R – an interactive web tool which exploits Limma R packages from Bioconductor project17 for comparison of user-defined groups of samples under the same experimental conditions (http://www.ncbi.nlm.nih.gov/geo/geo2r/).
order_basis
consumes_earlier_output
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assay:2
Complete file
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To contribute to existing knowledge in POP pathogenesis, we performed a systematic review of expression studies on both specific gene and whole-genome/proteome levels and an in silico analysis of publicly available datasets related to POP development. The most extensively investigated genes in individual studies were related to extracellular matrix (ECM) organization. Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed; Gene Ontology (GO) terms related to tissue repair (locomotion, biological adhesion, immune processes and other) were enriched in all five datasets. Co-expression was higher in cases than in controls in three premenopausal sets. The shared between two or more datasets up-regulated genes were enriched with those related to inflammatory bowel disease (IBD) in the NHGRI GWAS Catalog. ECM-related genes were not over-represented among differently expressed genes. 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5 controls (45.5 ± 11.4)", "Microarray gene expression", "Down-regulation in POP patients: FC > 2.0, 257 genes; FC > 5, 20 genes; FC > 10, 3 genes. Up-regulation in POP patients: FC > 2.0, 479 genes; FC > 5, 18 genes; FC > 10, 2 genes.", "The genes MYBPH (FC 24.7), MYH3 (FC 17.4) and COMP (FC 6.0) were down-regulated, while smooth muscle myosin heavy chain (FC 11.8), MLCK (FC 5.77) and TNC (FC 5.1) genes were up-regulated in POP patients in comparison with controls.", "No", "10"], ["Full-thickness vaginal wall biopsies from patients with POP and age-, parity -, and body mass index -matched controlsb", "5 PrM cases, 5 PrM controls", "Microarray gene expression", "Upregulated genes (n = 50) comprised those involved in smooth muscle contraction, proteolysis, response to oxidative stress, transcriptional regulation, cytoskeletal organization, and lipid catabolism.", "The PPP1R12A and ADAMTS1 genes were up-regulated 2.4 and 4-fold in cases compared to controls.", "mRNA analysis for 4 matched pairs of POP/control tissues", "12"], ["USLs and RLs from mixed ethnicity patients with uterine prolapse (POP-Q stage ≥ 2) and controls", "8 POP patients (5 PrM and 3 PM); 9 controls (6 PrM and 3 PM)", "Microarray gene expression", "In a combined analysis of expression changes in USLs and RLs, 1521 genes were up-regulated and 1193 genes were down-regulated with FC change 1.5. 249 up-regulated gene probes met FDR criteria ≤ 5.18.", "After FDR correction for multiple testing, genes enriched for ‘immunity and defense’ were up-regulated in POP patients.", "qRT-PCR Up-regulation in POP patients: IL-6 (FC 9.8), ATF3 (FC 2.6), THBS1 (FC 3.5) and PTGS2 (FC 2.4)", "13"], ["Pubocervical fascia from females with POP and SUI and from asymptomatic controlsb", "4 cases (PM); 3 controls (PM)", "Proteomic analysis (two-dimensional electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry)", "7 proteins with an expression FC more than two (3.8 ─ 54.3-fold).", "The expression levels of transgelin (FC 54.3), smooth muscle gamma-actin (FC 6.3), myosin light polypeptide 6 (FC 4.4), and alpha-1 antitrypsin precursor (FC 4.3) were higher in patients than in controls.", "2-DE western blot analysis for transgelin", "11"], ["USLs from Asian women with POP-Q stage 3-4 (cases) or 0-1 (controls)", "12 cases (PM), 5 controls (PM)", "Microarray gene expression", "143 genes were up-regulated and 87 genes were down-regulated with FC > 1.5 (P < 0.05).", "The expression levels of ESRRA (FC 0.434) decreased, while the expression levels of DAPK2 (FC 2.013), IL15 (FC 2.1) and STAP2 (FC 2.392) increased in POP patients compared with controls.", "qRT-PCR for the genes ESRRA, DAPK2, IL15, STAP2", "14"], ["USLs from patients with uterine prolapse and controlsb", "16 POP patients (15 patients PM); 9 controls (7 females PM)", "Microarray gene expression", "21 up-regulated and 7 down-regulated genes with FC > 2.0 were found in patients with POP compared to the control group.", "Down-regulation in POP patients compared with controls after FDR correction for multiple testing: NKX2-3 (FC 2.6) in the whole set; KIF11 (FC 1.3) in patients with ≥ 3 deliveries compared to patients with < 3 deliveries; UGT1A1 (FC 1.4), SCARB1 (FC 3.2) and NKX2-3 (FC 6.2) in PrM patients compared to PrM controls; UGT1A1 (FC 1.1) in PM patients compared to PM controls.", "No", "15"], ["USL samples of patients with stage II to stage IV POP (mean age 61 years) and normal controls (mean age 55 years)b", "No data", "RNA-seq (a HiSeqTM 2500 platform (Illumina))", "After FDR-correction, a total of 81 genes had different expression patterns in POP patients and controls. Sixty-six DEGs did not differ between the POP samples with different stages", "Canonical Wnt receptor signaling pathway was the most significantly enriched GO term (P- value = 3.33E-07), and neuroactive ligand-receptor interaction was the most significantly enriched pathway (P- value = 1.24E-03).", "No", "16"]], "row_count": 8, "column_count": 7, "numeric_cells": 34, "header_rows": 1, "locator": "section[4]/table-wrap[1]#Tab1"}}, {"id": "asset:table:pmid:28794464:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:71e3f09f8eb7be849725e011a58681f7171648345caa0c967677c35b6b7b3f55", "bytes": 1220, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[5]/table-wrap[1]#Tab2", "version": null, "note": "Characteristics of the POP datasets in the Gene Expression Omnibus (GEO) database repository.", "structure": {"pmcid": "PMC5550478", "section_index": 5, "section_title": "Overview of available GEO datasets for POP", "row_count": 10, "column_count": 7}, "table": {"label": "Table 2", "caption": "Characteristics of the POP datasets in the Gene Expression Omnibus (GEO) database repository.", "rows": [["Dataset", "Reference", "Tissue", "Number of samples", "GEO accession no; Platform", "Number of DEGa with FDR-corrected P - 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value", "Corrected P - value", "Genes"], ["KEGG Pathway"], ["Malaria (hsa05144)", "7", "49", "1,25E-09", "1,93E-07", "COMP, ICAM1, IL6, CXCL8, CCL2, THBS1, THBS4"], ["Influenza A (hsa05164)", "8", "176", "3,48E-07", "2,69E-05", "NLRP3, ICAM1, IL6, CXCL8, NXF3, CCL2, SOCS3, RSAD2"], ["Rheumatoid arthritis (hsa05323)", "5", "91", "2,51E-05", "1,19E-03", "CTSK, ICAM1, IL6, CXCL8, CCL2"], ["PI3K-Akt signaling pathway (hsa04151)", "8", "342", "3,91E-05", "1,19E-03", "CDKN1A, COMP, GNGT1, IL6, MCL1, PPP2R2C, THBS1, THBS4"], ["AGE-RAGE signaling pathway in diabetic complications (hsa04933)", "5", "101", "4,04E-05", "1,19E-03", "ICAM1, IL6, CXCL8, SERPINE1, CCL2"], ["Chagas disease (American trypanosomiasis)", "5", "104", "4,62E-05", "1,19E-03", "IL6, CXCL8, SERPINE1, PPP2R2C, CCL2"], ["Hepatitis C (hsa05142)", "5", "133", "1,41E-04", "2,43E-03", "CDKN1A, CXCL8, LDLR, PPP2R2C, SOCS3"], ["Hepatitis B (hsa05161)", "5", "146", "2,15E-04", "3,32E-03", "CDKN1A, EGR2, EGR3, IL6, CXCL8"], ["Phagosome (hsa04145)", "5", "155", "2,80E-04", "3,95E-03", "COMP, FCAR, THBS1, THBS4, COLEC11"], ["HTLV-I infection (hsa05166)", "6", "259", "3,90E-04", "4,91E-03", "CDKN1A, EGR2, ICAM1, IL6, ATF3, IL1R2"], ["Transcriptional misregulation in cancer (hsa05202)", "5", "180", "5,44E-04", "5,63E-03", "CDKN1A, IL6, CXCL8, IL1R2, NR4A3"], ["Herpes simplex infection (hsa05168)", "5", "186", "6,29E-04", "6,09E-03", "IL6, NXF3, CCL2, TNFSF14, SOCS3"], ["Cytokine-cytokine receptor interaction (hsa04060)", "5", "265", "2,89E-03", "2,03E-02", "IL6, CXCL8, CCL2, IL1R2, TNFSF14"], ["Pathways in cancer (hsa05200)", "6", "397", "3,31E-03", "2,13E-02", "CDKN1A, CKS2, GNGT1, IL6, CXCL8, BDKRB1"], ["The NHGRI GWAS Catalog"], ["Inflammatory bowel disease", "9", "271", "8,03E-07", "1,26E-04", "BORCS5, CCL2, CXCL8, ICAM1, IL1R2, NFIL3, PTPRC, SLC11A1, SLC22A4"], ["Crohn’s disease", "6", "256", "3,68E-04", "1,15E-02", "SLC22A4, ICAM1, CCL2, TAGAP, PTPRC, CNNM1"]], "row_count": 19, "column_count": 6, "numeric_cells": 82, "header_rows": 1, "locator": "section[8]/table-wrap[1]#Tab3"}}], "gaps": ["asset:data:geo:GSE12852 not downloaded", "asset:data:geo:GSE12852 licence not read", "asset:data:geo:GSE53868 not downloaded", "asset:data:geo:GSE53868 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Results of two studies submitted to the repository Gene Expression Omnibus (GEO) were processed with GEO2R – an interactive web tool which exploits Limma R packages from Bioconductor project17 for comparison of user-defined groups of samples under the same experimental conditions (http://www.ncbi.nlm.nih.gov/geo/geo2r/)."}}, {"id": "method-2", "family": "genetic_association", "specific": "gwas", "label": "Genetic association (GWAS / linkage / MR)", "dsl_operations": ["gwas_locus_scan"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["genotype_phenotype_table"], "evidence": {"score": 0.7, "band": "medium", "quote": "GWAS"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": 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. 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