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pmid:33532314

Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.

Tengfei Hu · Shaoge Luo · Yu Xi · Xuchong Tu · Xiaojian Yang · Hui Zhang · Jiarong Feng · Chunlin Wang · Yan Zhang

Translational andrology and urology · 2021 doi:10.21037/tau-20-1029

Paper

complete

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33532314
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science-record
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sha256:ea5b5b5e750eceffd4fc188bf27ffa6c75c1b6bfbcc17153523b8e5e43153d6f
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created_at
2026-11-01T15:41:24Z
updated_at
2026-11-01T22:03:02Z
generator object · 2 fields
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paper object · 10 fields
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title
Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.
doi
10.21037/tau-20-1029
pmid
33532314
authors array · 9 items
[0]
Tengfei Hu
[1]
Shaoge Luo
[2]
Yu Xi
[3]
Xuchong Tu
[4]
Xiaojian Yang
[5]
Hui Zhang
[6]
Jiarong Feng
[7]
Chunlin Wang
[8]
Yan Zhang
journal
Translational andrology and urology
year
2021
abstract
BACKGROUND: Non-obstructive azoospermia (NOA) is a disease related to spermatogenic disorders. Currently, the specific etiological mechanism of NOA is unclear. This study aimed to use integrated bioinformatics to screen biomarkers and pathways involved in NOA and reveal their potential molecular mechanisms. METHODS: GSE145467 and GSE108886 gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between NOA tissues and matched obstructive azoospermia (OA) tissues were identified using the GEO2R tool. Common DEGs in the two datasets were screened out by the VennDiagram package. For the functional annotation of common DEGs, DAVID v.6.8 was used to perform Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. In accordance with data collected from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, a protein-protein interaction (PPI) network was constructed by Cytoscape. Cytohubba in Cytoscape was used to screen the hub genes. Furthermore, the hub genes were validated based on a separate dataset, GSE9210. Finally, potential micro RNAs (miRNAs) of hub genes were predicted by miRWalk 3.0. RESULTS: A total of 816 common DEGs, including 52 common upregulated and 764 common downregulated genes in two datasets, were screened out. Some of the more important of these pathways, including focal adhesion, PI3K-Akt signaling pathway, cell cycle, oocyte meiosis, AMP-activated protein kinase (AMPK) signaling pathway, FoxO signaling pathway, and Huntington disease, were involved in spermatogenesis. We further identified the top 20 hub genes from the PPI network, including CCNB2, DYNLL2, HMMR, NEK2, KIF15, DLGAP5, NUF2, TTK, PLK4, PTTG1, PBK, CEP55, CDKN3, CDC25C, MCM4, DNAI1, TYMS, PPP2R1B, DNAI2, and DYNLRB2, which were all downregulated genes. In addition, potential miRNAs of hub genes, including hsa-miR-3666, hsa-miR-130b-3p, hsa-miR-15b-5p, hsa-miR-6838-5p, and hsa-miR-195-5p, were screened out. CONCLUSIONS: Taken together, the identification of the above hub genes, miRNAs and pathways will help us better understand the mechanisms associated with NOA, and provide potential biomarkers and therapeutic targets for NOA.
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The Wilcox test was used to determine whether there were differences in the expression of hub genes between the two subgroups.
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sections[7] "Analysis of hub genes in the NOA subgroup" paragraph 2
quote
The Wilcox test was used to determine whether there were differences in the expression of hub genes between the two subgroups.
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The GSE145467 dataset, which was contributed by Hodžić et al. (11), is based on the GPL4133 platform of the Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version) and includes 10 NOA samples and 10 OA testicular samples.
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sections[3] "Microarray data source" paragraph 3
quote
The GSE145467 dataset, which was contributed by Hodžić et al. (11), is based on the GPL4133 platform of the Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version) and includes 10 NOA samples and 10 OA testicular samples.
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Spermatogenomics: correlating testicular gene expression to human male infertility
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Transcriptome changes in patients with severely impaired spermatogenesis
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A testicular gene expression profile for NOA patients, and ART3 as a genetic susceptibility gene for NOA
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Gene ontology analysis of common upregulated and downregulated DEGs
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GO enrichment analysis
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Table 1
caption
Gene ontology analysis of common upregulated and downregulated DEGs
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[0] array · 5 items
[0]
Category
[1]
Term
[2]
Count
[3]
Gene ratio
[4]
P value
[1] array · 5 items
[0]
Upregulated
[1]
[2]
[3]
[4]
[2] array · 5 items
[0]
BP
[1]
GO:0030198~extracellular matrix organization
[2]
6
[3]
0.0775294
[4]
2.59E-04
[3] array · 5 items
[0]
BP
[1]
GO:0008285~negative regulation of cell proliferation
[2]
6
[3]
0.0775294
[4]
0.005787
[4] array · 5 items
[0]
BP
[1]
GO:0007155~cell adhesion
[2]
6
[3]
0.0775294
[4]
0.0105986
[5] array · 5 items
[0]
BP
[1]
GO:0044267~cellular protein metabolic process
[2]
5
[3]
0.0646078
[4]
3.85E-04
[6] array · 5 items
[0]
BP
[1]
GO:0043066~negative regulation of apoptotic process
[2]
5
[3]
0.0646078
[4]
0.04328502
[7] array · 5 items
[0]
CC
[1]
GO:0070062~extracellular exosome
[2]
25
[3]
0.3230392
[4]
5.98E-08
[8] array · 5 items
[0]
CC
[1]
GO:0005615~extracellular space
[2]
20
[3]
0.2584313
[4]
9.39E-10
[9] array · 5 items
[0]
CC
[1]
GO:0005576~extracellular region
[2]
18
[3]
0.2325882
[4]
6.52E-07
[10] array · 5 items
[0]
CC
[1]
GO:0031012~extracellular matrix
[2]
11
[3]
0.1421372
[4]
6.35E-09
[11] array · 5 items
[0]
CC
[1]
GO:0005578~proteinaceous extracellular matrix
[2]
6
[3]
0.0775294
[4]
8.18E-04
[12] array · 5 items
[0]
MF
[1]
GO:0005102~receptor binding
[2]
6
[3]
0.0775294
[4]
0.00290085
[13] array · 5 items
[0]
MF
[1]
GO:0005509~calcium ion binding
[2]
6
[3]
0.0775294
[4]
0.04816598
[14] array · 5 items
[0]
MF
[1]
GO:0005518~collagen binding
[2]
5
[3]
0.0646078
[4]
2.29E-05
[15] array · 5 items
[0]
MF
[1]
GO:0008201~heparin binding
[2]
5
[3]
0.0646078
[4]
0.00100954
[16] array · 5 items
[0]
MF
[1]
GO:0017147~Wnt-protein binding
[2]
3
[3]
0.0387647
[4]
0.00335112
[17] array · 5 items
[0]
Downregulated
[1]
[2]
[3]
[4]
[18] array · 5 items
[0]
BP
[1]
GO:0007283~spermatogenesis
[2]
68
[3]
0.0747565
[4]
1.86E-33
[19] array · 5 items
[0]
BP
[1]
GO:0007275~multicellular organism development
[2]
50
[3]
0.054968
[4]
2.82E-13
[20] array · 5 items
[0]
BP
[1]
GO:0030154~cell differentiation
[2]
44
[3]
0.0483718
[4]
1.24E-11
[21] array · 5 items
[0]
BP
[1]
GO:0007286~spermatid development
[2]
24
[3]
0.0263846
[4]
1.21E-17
[22] array · 5 items
[0]
BP
[1]
GO:0030317~sperm motility
[2]
21
[3]
0.0230866
[4]
1.32E-17
[23] array · 5 items
[0]
CC
[1]
GO:0005634~nucleus
[2]
221
[3]
0.2429586
[4]
3.59E-05
[24] array · 5 items
[0]
CC
[1]
GO:0005737~cytoplasm
[2]
197
[3]
0.216574
[4]
0.00769222
[25] array · 5 items
[0]
CC
[1]
GO:0005813~centrosome
[2]
29
[3]
0.0318814
[4]
3.33E-04
[26] array · 5 items
[0]
CC
[1]
GO:0031514~motile cilium
[2]
25
[3]
0.027484
[4]
8.08E-18
[27] array · 5 items
[0]
CC
[1]
GO:0001669~acrosomal vesicle
[2]
24
[3]
0.0263846
[4]
8.40E-16
[28] array · 5 items
[0]
MF
[1]
GO:0000287~magnesium ion binding
[2]
12
[3]
0.0131923
[4]
0.0461689
[29] array · 5 items
[0]
MF
[1]
GO:0004722~protein serine/threonine phosphatase activity
[2]
7
[3]
0.0076955
[4]
0.00798661
[30] array · 5 items
[0]
MF
[1]
GO:0003796~lysozyme activity
[2]
6
[3]
0.0065962
[4]
1.66E-05
[31] array · 5 items
[0]
MF
[1]
GO:0004674~protein serine/threonine kinase activity
[2]
18
[3]
0.0197885
[4]
0.06625263
[32] array · 5 items
[0]
MF
[1]
GO:0003777~microtubule motor activity
[2]
6
[3]
0.0065962
[4]
0.09501651
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section[13]/table-wrap[1]#t1
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KEGG pathway analysis of common upregulated and downregulated DEGs
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KEGG pathway enrichment analysis
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Table 2
caption
KEGG pathway analysis of common upregulated and downregulated DEGs
rows array · 17 items
[0] array · 6 items
[0]
Pathway
[1]
ID
[2]
Count
[3]
Fold Enrichment
[4]
P value
[5]
Genes
[1] array · 6 items
[0]
Upregulated
[1]
[2]
[3]
[4]
[5]
[2] array · 6 items
[0]
Focal adhesion
[1]
hsa04510
[2]
6
[3]
7.155686546
[4]
1.08E-03
[5]
LAMA2, COL6A3, PDGFRA, IGF1, COL6A1, SHC1
[3] array · 6 items
[0]
PI3K-Akt signaling pathway
[1]
hsa04151
[2]
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[3]
4.272670807
[4]
9.99E-03
[5]
LAMA2, COL6A3, PDGFRA, IGF1, COL6A1, GNG11
[4] array · 6 items
[0]
Glioma
[1]
hsa05214
[2]
3
[3]
11.33901099
[4]
2.65E-02
[5]
PDGFRA, IGF1, SHC1
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[0]
ECM-receptor interaction
[1]
hsa04512
[2]
3
[3]
8.471674877
[4]
4.52E-02
[5]
LAMA2, COL6A3, COL6A1
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[0]
Protein digestion and absorption
[1]
hsa04974
[2]
3
[3]
8.375405844
[4]
4.62E-02
[5]
COL6A3, CPA3, COL6A1
[7] array · 6 items
[0]
Downregulated
[1]
[2]
[3]
[4]
[5]
[8] array · 6 items
[0]
Oocyte meiosis
[1]
hsa04114
[2]
9
[3]
4.323695789
[4]
1.02E-03
[5]
PPP2R1B, PGR, PLCZ1, SPDYA, MAPK1, CCNB2, PPP3R2, PTTG1, CDC25C
[9] array · 6 items
[0]
Glycolysis/gluconeogenesis
[1]
hsa00010
[2]
7
[3]
5.5713294
[4]
1.46E-03
[5]
GAPDHS, LDHC, LDHAL6B, PFKP, PGAM2, PDHA2, PGK2
[10] array · 6 items
[0]
Cell cycle
[1]
hsa04110
[2]
8
[3]
3.44036009
[4]
8.15E-03
[5]
CCNB2, CDC14A, DBF4, TTK, PTTG1, CCNA1, CDC25C, MCM4
[11] array · 6 items
[0]
Progesterone-mediated oocyte maturation
[1]
hsa04914
[2]
6
[3]
3.677626303
[4]
2.26E-02
[5]
PGR, SPDYA, MAPK1, CCNB2, CCNA1, CDC25C
[12] array · 6 items
[0]
AMPK signaling pathway
[1]
hsa04152
[2]
7
[3]
3.034789185
[4]
2.68E-02
[5]
PPP2R1B, CPT1B, CAB39L, PFKP, CCNA1, PPP2R2B, PPP2R3C
[13] array · 6 items
[0]
Glucagon signaling pathway
[1]
hsa04922
[2]
6
[3]
3.231853418
[4]
3.68E-02
[5]
LDHC, CPT1B, LDHAL6B, PPP3R2, PGAM2, PDHA2
[14] array · 6 items
[0]
Metabolic pathways
[1]
hsa01100
[2]
32
[3]
1.399851193
[4]
3.76E-02
[5]
INPP1, LDHC, PLCZ1, KYNU, GCNT3, SGMS2, GK2, OLAH, COX7B2, NT5C1B, ACSBG2, PGAM2, TKTL2, CERS3, AZIN2, STT3B, ALDH1A2, TYMS, GALNTL5, PHOSPHO2, PDHA2, COX6B2, PRPS1L1, PCYT2, SPAM1, ADSSL1, LDHAL6B, SI, PFKP, GAPDHS, INPP4B, PGK2
[15] array · 6 items
[0]
Protein processing in endoplasmic reticulum
[1]
hsa04141
[2]
8
[3]
2.524287877
[4]
3.78E-02
[5]
HSPA1L, NGLY1, STT3B, DNAJC5B, UBQLNL, HSPA4L, UBQLN3, DNAJC5G
[16] array · 6 items
[0]
Biosynthesis of amino acids
[1]
hsa01230
[2]
5
[3]
3.703165375
[4]
4.46E-02
[5]
PFKP, PGAM2, TKTL2, PRPS1L1, PGK2
locator
section[14]/table-wrap[1]#t2
[6] object · 16 fields
id
asset:table:pmid:33532314:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:dd18fd717fdab0c77ec3e4938d887041576a261c2db088dde5f64bd63c04ca01
bytes
1269
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open
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verified
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read_table
reader_status
available
identifier
section[15]/table-wrap[1]#t3
version
null
note
Degree values and descriptions of the top 20 hub genes
structure object · 5 fields
pmcid
PMC7844508
section_index
15
section_title
PPI network and hub gene analysis
row_count
21
column_count
4
table object · 8 fields
label
Table 3
caption
Degree values and descriptions of the top 20 hub genes
rows array · 21 items
[0] array · 4 items
[0]
Rank
[1]
Gene symbol
[2]
Gene description
[3]
Degree
[1] array · 4 items
[0]
1
[1]
CCNB2
[2]
Cyclin B2
[3]
25
[2] array · 4 items
[0]
2
[1]
DYNLL2
[2]
Dynein light chain LC8-type 2
[3]
22
[3] array · 4 items
[0]
3
[1]
HMMR
[2]
Hyaluronan mediated motility receptor
[3]
21
[4] array · 4 items
[0]
4
[1]
KIF15
[2]
Kinesin family member 15
[3]
20
[5] array · 4 items
[0]
4
[1]
NEK2
[2]
NIMA related kinase 2
[3]
20
[6] array · 4 items
[0]
6
[1]
DLGAP5
[2]
DLG associated protein 5
[3]
19
[7] array · 4 items
[0]
7
[1]
PTTG1
[2]
Pituitary tumor-transforming 1
[3]
18
[8] array · 4 items
[0]
7
[1]
PLK4
[2]
Polo like kinase 4
[3]
18
[9] array · 4 items
[0]
7
[1]
TTK
[2]
TTK protein kinase
[3]
18
[10] array · 4 items
[0]
7
[1]
NUF2
[2]
NUF2, NDC80 kinetochore complex component
[3]
18
[11] array · 4 items
[0]
11
[1]
PBK
[2]
PDZ binding kinase
[3]
17
[12] array · 4 items
[0]
12
[1]
CEP55
[2]
Centrosomal protein 55
[3]
16
[13] array · 4 items
[0]
13
[1]
CDKN3
[2]
Cyclin dependent kinase inhibitor 3
[3]
15
[14] array · 4 items
[0]
14
[1]
CDC25C
[2]
Cell division cycle 25C
[3]
14
[15] array · 4 items
[0]
15
[1]
DNAI1
[2]
Dynein axonemal intermediate chain 1
[3]
13
[16] array · 4 items
[0]
15
[1]
MCM4
[2]
Minichromosome maintenance complex component 4
[3]
13
[17] array · 4 items
[0]
17
[1]
DNAI2
[2]
Dynein axonemal intermediate chain 2
[3]
12
[18] array · 4 items
[0]
17
[1]
PPP2R1B
[2]
Protein phosphatase 2 scaffold subunit Abeta
[3]
12
[19] array · 4 items
[0]
17
[1]
TYMS
[2]
Thymidylate synthetase
[3]
12
[20] array · 4 items
[0]
20
[1]
DYNLRB2
[2]
Dynein light chain roadblock-type 2
[3]
11
locator
section[15]/table-wrap[1]#t3
[7] object · 16 fields
id
asset:table:pmid:33532314:4
role
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jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:1038435750bc179bba8c44e55b013a4bba16de7ccce35aa34c6e90604c5b7a2e
bytes
1028
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read_table
reader_status
available
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section[18]/table-wrap[1]#t4
version
null
note
Hub genes and corresponded target miRNAs
structure object · 5 fields
pmcid
PMC7844508
section_index
18
section_title
Integrated network analysis of miRNA–mRNA interactions
row_count
5
column_count
2
table object · 8 fields
label
Table 4
caption
Hub genes and corresponded target miRNAs
rows array · 5 items
[0] array · 2 items
[0]
Gene
[1]
miRNA
[1] array · 2 items
[0]
NEK2
[1]
hsa-miR-216a-3p
[2] array · 2 items
[0]
CEP55
[1]
hsa-miR-130b-3p hsa-miR-6838-5p hsa-miR-3666 hsa-miR-15b-5p
[3] array · 2 items
[0]
PPP2R1B
[1]
hsa-miR-382-5p hsa-miR-497-5p hsa-miR-125a-5p hsa-miR-6838-5p hsa-miR-15b-5p hsa-miR-195-5p hsa-miR-125b-5p hsa-miR-4319
[4] array · 2 items
[0]
DYNLL2
[1]
hsa-miR-193a-3p hsa-miR-148a-3p hsa-miR-139-5p hsa-miR-329-3p hsa-miR-330-3p hsa-miR-296-5p hsa-miR-19b-3p hsa-miR-129-2-3p hsa-miR-204-5p hsa-miR-4644 hsa-miR-1306-5p hsa-miR-130a-3p hsa-miR-130b-3p hsa-miR-150-5p hsa-miR-6088 hsa-miR-181c-5p hsa-miR-185-5p hsa-miR-148b-3p hsa-miR-193b-3p hsa-miR-195-5p hsa-miR-200a-3p hsa-miR-211 -5p hsa-miR-454-3p hsa-miR-331-3p hsa-miR-141-3p hsa-miR-103a-3p hsa-miR-129-1-3p hsa-miR-212-3p hsa-miR-328-3p hsa-miR-301b-3p hsa-miR-3666 hsa-miR-4295 hsa-miR-532-3p hsa-miR-152-3p hsa-miR-181d-5p hsa-miR-107 hsa-miR-132-3p hsa-miR-6835-3p
locator
section[18]/table-wrap[1]#t4
[8] object · 16 fields
id
asset:table:pmid:33532314:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:3354b0f414bf6dab8364c3e8da04de6613fe3cd5f410a272d11e1c1521f06ad9
bytes
933
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read_table
reader_status
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section[19]/table-wrap[1]#t5
version
null
note
Several hub genes play a functional role in spermatogenesis
structure object · 5 fields
pmcid
PMC7844508
section_index
19
section_title
Discussion
row_count
10
column_count
3
table object · 8 fields
label
Table 5
caption
Several hub genes play a functional role in spermatogenesis
rows array · 10 items
[0] array · 3 items
[0]
Gene
[1]
Function
[2]
Reference
[1] array · 3 items
[0]
CCNB2
[1]
G2/M transition in both mitosis and meiosis
[2]
Baker et al. (19)
[2] array · 3 items
[0]
HMMR
[1]
Sperm count, motility and number of sperm with normal morphology
[2]
Abu-Halima et al. (20)
[3] array · 3 items
[0]
Nek2
[1]
G2/M phase transition of the cell cycle
[2]
Matsuoka et al. (21)
[4] array · 3 items
[0]
TTK
[1]
Mitotic checkpoint activity
[2]
Poss et al. (22)
[5] array · 3 items
[0]
PLK4
[1]
Necessary for centriole duplication
[2]
Bettencourt-Dias et al. (23)
[6] array · 3 items
[0]
PBK
[1]
In the outer cell layer of spermatogenic tubules
[2]
Zhao et al. (24)
[7] array · 3 items
[0]
CEP55
[1]
Maintaining stable germ cell intercellular bridges
[2]
Chang et al. (25)
[8] array · 3 items
[0]
CDC25C
[1]
G2/M phase transition of the cell cycle
[2]
Nilsson et al. (26)
[9] array · 3 items
[0]
DNAI1
[1]
Ciliary function and ultrastructure
[2]
Escudier et al. (27)
locator
section[19]/table-wrap[1]#t5
gaps array · 6 items
[0]
asset:data:geo:GSE108886 not downloaded
[1]
asset:data:geo:GSE108886 licence not read
[2]
asset:data:geo:GSE145467 not downloaded
[3]
asset:data:geo:GSE145467 licence not read
[4]
asset:data:geo:GSE9210 not downloaded
[5]
asset:data:geo:GSE9210 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
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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
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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
Wilcox test
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 Wilcox test was used to determine whether there were differences in the expression of hub genes between the two subgroups.
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 · 3 items
[0]
GSE145467
[1]
GSE108886
[2]
GSE9210
resolved_accessions array · 3 items
[0]
GSE145467
[1]
GSE108886
[2]
GSE9210
statements array · 1 item
[0]
The GSE145467 dataset, which was contributed by Hodžić et al. (11), is based on the GPL4133 platform of the Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version) and includes 10 NOA samples and 10 OA testicular samples.
basis
The paper names GSE145467, GSE108886, GSE9210 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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build_graph
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centrality_scores
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pathway_enrich
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source:pmid:33532314
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data:geo:GSE108886
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asset:table:pmid:33532314:1
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asset:table:pmid:33532314:2
[4]
asset:table:pmid:33532314:3
[5]
asset:table:pmid:33532314:4
[6]
asset:table:pmid:33532314:5
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
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capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE108886
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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
2026-10-31T18:26:43Z
independence
single_reader
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method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
29016
completion_tokens
1791
cached_tokens
784
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
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minimax
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review.independent_reader
[1]
review.machine_critique
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review.human_critique
execution object · 5 fields
state
absent
status
not_run
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null
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execution.not_run
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id
pmid:33532314
type
paper
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pmid:33532314
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id
source:pmid:33532314
type
manuscript
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PMID 33532314 full text
[2] object · 3 fields
id
data:geo:GSE108886
type
dataset
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GEO GSE108886
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[0] object · 4 fields
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classification
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id
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paper
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pmid:33532314
[1] object · 3 fields
id
source:pmid:33532314
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manuscript
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PMID 33532314 full text
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id
data:geo:GSE108886
type
dataset
label
GEO GSE108886
agent
agent:corpus-assay-engine
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id
activity-read-33532314
type
extraction
used array · 1 item
[0]
source:pmid:33532314
agent
agent:minimax-reader
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id
activity-resolve-GSE108886
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accession_resolution
used array · 1 item
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data:geo:GSE108886
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agent:corpus-assay-engine
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id
agent:corpus-assay-engine
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software
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Corpus assay engine
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id
agent:minimax-reader
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MiniMax literature reader
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lineage object · 4 fields
parent_id
pmid:33532314
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sha256:30a33247dbd18508bc0e0b0df5627b07ab066b7d34d96a8bea7d747bb2f63d77
fork_of
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asset:data:geo:GSE108886 licence not read
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[2]
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[3]
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[4]
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execution.not_run
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method.reader_named_unmapped
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33532314", "kind": "science-record", "revision": 6, "content_hash": "sha256:ea5b5b5e750eceffd4fc188bf27ffa6c75c1b6bfbcc17153523b8e5e43153d6f", "created_at": "2026-11-01T15:41:24Z", "updated_at": "2026-11-01T22:03:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.", "doi": "10.21037/tau-20-1029", "pmid": "33532314", "authors": ["Tengfei Hu", "Shaoge Luo", "Yu Xi", "Xuchong Tu", "Xiaojian Yang", "Hui Zhang", "Jiarong Feng", "Chunlin Wang", "Yan Zhang"], "journal": "Translational andrology and urology", "year": 2021, "abstract": "BACKGROUND: Non-obstructive azoospermia (NOA) is a disease related to spermatogenic disorders. Currently, the specific etiological mechanism of NOA is unclear. This study aimed to use integrated bioinformatics to screen biomarkers and pathways involved in NOA and reveal their potential molecular mechanisms.\nMETHODS: GSE145467 and GSE108886 gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between NOA tissues and matched obstructive azoospermia (OA) tissues were identified using the GEO2R tool. Common DEGs in the two datasets were screened out by the VennDiagram package. For the functional annotation of common DEGs, DAVID v.6.8 was used to perform Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. In accordance with data collected from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, a protein-protein interaction (PPI) network was constructed by Cytoscape. Cytohubba in Cytoscape was used to screen the hub genes. Furthermore, the hub genes were validated based on a separate dataset, GSE9210. Finally, potential micro RNAs (miRNAs) of hub genes were predicted by miRWalk 3.0.\nRESULTS: A total of 816 common DEGs, including 52 common upregulated and 764 common downregulated genes in two datasets, were screened out. Some of the more important of these pathways, including focal adhesion, PI3K-Akt signaling pathway, cell cycle, oocyte meiosis, AMP-activated protein kinase (AMPK) signaling pathway, FoxO signaling pathway, and Huntington disease, were involved in spermatogenesis. We further identified the top 20 hub genes from the PPI network, including CCNB2, DYNLL2, HMMR, NEK2, KIF15, DLGAP5, NUF2, TTK, PLK4, PTTG1, PBK, CEP55, CDKN3, CDC25C, MCM4, DNAI1, TYMS, PPP2R1B, DNAI2, and DYNLRB2, which were all downregulated genes. In addition, potential miRNAs of hub genes, including hsa-miR-3666, hsa-miR-130b-3p, hsa-miR-15b-5p, hsa-miR-6838-5p, and hsa-miR-195-5p, were screened out.\nCONCLUSIONS: Taken together, the identification of the above hub genes, miRNAs and pathways will help us better understand the mechanisms associated with NOA, and provide potential biomarkers and therapeutic targets for NOA.", "claims": [{"id": "claim-method", "statement": "The Wilcox test was used to determine whether there were differences in the expression of hub genes between the two subgroups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33532314", "locator": "sections[7] \"Analysis of hub genes in the NOA subgroup\" paragraph 2", "quote": "The Wilcox test was used to determine whether there were differences in the expression of hub genes between the two subgroups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE145467 dataset, which was contributed by Hodžić et al. (11), is based on the GPL4133 platform of the Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version) and includes 10 NOA samples and 10 OA testicular samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33532314", "locator": "sections[3] \"Microarray data source\" paragraph 3", "quote": "The GSE145467 dataset, which was contributed by Hodžić et al. 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"GSM233026", "GSM233027"], "sample_count": 58, "group_sizes": null, "group_sizes_basis": null, "platform": "887", "taxon": "Homo sapiens", "title": "A testicular gene expression profile for NOA patients, and ART3 as a genetic susceptibility gene for NOA", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:33532314:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:8247ef6c61968cd5f37887e526e1aa5b1ef08582ab580b9341537773bd2f1316", "bytes": 2470, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#t1", "version": null, "note": "Gene ontology analysis of common upregulated and downregulated DEGs", "structure": {"pmcid": "PMC7844508", "section_index": 13, "section_title": "GO enrichment 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"state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[14]/table-wrap[1]#t2", "version": null, "note": "KEGG pathway analysis of common upregulated and downregulated DEGs", "structure": {"pmcid": "PMC7844508", "section_index": 14, "section_title": "KEGG pathway enrichment analysis", "row_count": 17, "column_count": 6}, "table": {"label": "Table 2", "caption": "KEGG pathway analysis of common upregulated and downregulated DEGs", "rows": [["Pathway", "ID", "Count", "Fold Enrichment", "P value", "Genes"], ["Upregulated", "", "", "", "", ""], ["Focal adhesion", "hsa04510", "6", "7.155686546", "1.08E-03", "LAMA2, COL6A3, PDGFRA, IGF1, COL6A1, SHC1"], ["PI3K-Akt signaling pathway", "hsa04151", "6", "4.272670807", "9.99E-03", "LAMA2, COL6A3, PDGFRA, IGF1, COL6A1, GNG11"], ["Glioma", "hsa05214", "3", "11.33901099", "2.65E-02", "PDGFRA, IGF1, SHC1"], ["ECM-receptor interaction", "hsa04512", "3", "8.471674877", "4.52E-02", "LAMA2, COL6A3, COL6A1"], 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"Hub genes and corresponded target miRNAs", "structure": {"pmcid": "PMC7844508", "section_index": 18, "section_title": "Integrated network analysis of miRNA–mRNA interactions", "row_count": 5, "column_count": 2}, "table": {"label": "Table 4", "caption": "Hub genes and corresponded target miRNAs", "rows": [["Gene", "miRNA"], ["NEK2", "hsa-miR-216a-3p"], ["CEP55", "hsa-miR-130b-3p hsa-miR-6838-5p hsa-miR-3666 hsa-miR-15b-5p"], ["PPP2R1B", "hsa-miR-382-5p hsa-miR-497-5p hsa-miR-125a-5p hsa-miR-6838-5p hsa-miR-15b-5p hsa-miR-195-5p hsa-miR-125b-5p hsa-miR-4319"], ["DYNLL2", "hsa-miR-193a-3p hsa-miR-148a-3p hsa-miR-139-5p hsa-miR-329-3p hsa-miR-330-3p hsa-miR-296-5p hsa-miR-19b-3p hsa-miR-129-2-3p hsa-miR-204-5p hsa-miR-4644 hsa-miR-1306-5p hsa-miR-130a-3p hsa-miR-130b-3p hsa-miR-150-5p hsa-miR-6088 hsa-miR-181c-5p hsa-miR-185-5p hsa-miR-148b-3p hsa-miR-193b-3p hsa-miR-195-5p hsa-miR-200a-3p hsa-miR-211 -5p hsa-miR-454-3p hsa-miR-331-3p hsa-miR-141-3p hsa-miR-103a-3p hsa-miR-129-1-3p hsa-miR-212-3p hsa-miR-328-3p hsa-miR-301b-3p hsa-miR-3666 hsa-miR-4295 hsa-miR-532-3p hsa-miR-152-3p hsa-miR-181d-5p hsa-miR-107 hsa-miR-132-3p hsa-miR-6835-3p"]], "row_count": 5, "column_count": 2, "numeric_cells": 5, "header_rows": 1, "locator": "section[18]/table-wrap[1]#t4"}}, {"id": "asset:table:pmid:33532314:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:3354b0f414bf6dab8364c3e8da04de6613fe3cd5f410a272d11e1c1521f06ad9", "bytes": 933, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[19]/table-wrap[1]#t5", "version": null, "note": "Several hub genes play a functional role in spermatogenesis", "structure": {"pmcid": "PMC7844508", "section_index": 19, "section_title": "Discussion", "row_count": 10, "column_count": 3}, "table": {"label": "Table 5", "caption": "Several hub genes play a functional role in spermatogenesis", "rows": [["Gene", 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