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pmid:37891374

Identification of hub genes associated with spermatogenesis by bioinformatics analysis.

Shuang Liu · Yan-Chao Bian · Wan-Lun Wang · Tong-Jia Liu · Ting Zhang · Yue Chang · Rui Xiao · Chuan-Ling Zhang

Scientific reports · 2023 doi:10.1038/s41598-023-45620-3

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:37891374
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science-record
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2026-11-01T19:02:45Z
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2026-11-01T22:52:57Z
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paper object · 10 fields
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title
Identification of hub genes associated with spermatogenesis by bioinformatics analysis.
doi
10.1038/s41598-023-45620-3
pmid
37891374
authors array · 8 items
[0]
Shuang Liu
[1]
Yan-Chao Bian
[2]
Wan-Lun Wang
[3]
Tong-Jia Liu
[4]
Ting Zhang
[5]
Yue Chang
[6]
Rui Xiao
[7]
Chuan-Ling Zhang
journal
Scientific reports
year
2023
abstract
Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our objective was to determine the hub genes that play a crucial role in spermatogenesis by analyzing the differentially expressed genes (DEGs) present in non-obstructive azoospermia (NOA) compared to OA and normal samples using bioinformatics analysis. Four datasets, namely GSE45885, GSE45887, GSE9210 and GSE145467 were used. Functional enrichment analyses were performed on the DEGs. Hub genes were identified based on protein-protein interactions between DEGs. The expression of the hub genes was further examined in the testicular germ cell tumors from the TCGA by the GEPIA and validated by qRT-PCR in the testes of lipopolysaccharide-induced acute orchitis mice with impaired spermatogenesis. A total of 203 DEGs including 34 up-regulated and 169 down-regulated were identified. Functional enrichment analysis showed DEGs were mainly involved in microtubule motility, the process of cell growth and protein transport. PRM2, TEKT2, FSCN3, UBQLN3, SPATS1 and GTSF1L were identified and validated as hub genes for spermatogenesis. Three of them (PRM2, FSCN3 and TEKT2) were significantly down-regulated in the testicular germ cell tumors and their methylation levels were associated with the pathogenesis. In summary, the hub genes identified may be related to spermatogenesis and may act as potential therapeutic targets for NOA and testicular germ cell tumors.
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The limma package (version 3.52.1) was subsequently used for DEG identification. DEGs were screened based on the criteria of P adj < 0.05 and |log2(fold change, FC)|> 1.0.
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The limma package (version 3.52.1) was subsequently used for DEG identification. DEGs were screened based on the criteria of P adj < 0.05 and |log2(fold change, FC)|> 1.0.
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The datasets generated and/or analyzed for this study can be found in the GEO repository. GSE45885 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45885, GSE45887 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45887, GSE9210 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9210, GSE145467 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145467.
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sections[30] "Data availability" paragraph 2
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The datasets generated and/or analyzed for this study can be found in the GEO repository. GSE45885 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45885, GSE45887 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45887, GSE9210 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9210, GSE145467 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145467.
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Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05).
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Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05).
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sections[3] "Identification of DEGs" paragraph 2
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Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05).
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Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05).
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Transcriptome changes in patients with severely impaired spermatogenesis
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Potential biomarkers of non-obstructive azoospermia identified in microarray gene expression analysis
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GSE45885
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GSE45887
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The datasets generated and/or analyzed for this study can be found in the GEO repository. GSE45885 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45885, GSE45887 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45887, GSE9210 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9210, GSE145467 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145467.
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The paper names GSE45885, GSE45887, GSE9210, GSE145467 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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The limma package (version 3.52.1) was subsequently used for DEG identification. DEGs were screened based on the criteria of P adj < 0.05 and |log2(fold change, FC)|> 1.0.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37891374", "kind": "science-record", "revision": 4, "content_hash": "sha256:dbd0c2879fd3989ddeb1e89d0b26947ed21c96ce799a520dd59e49627a6147ff", "created_at": "2026-11-01T19:02:45Z", "updated_at": "2026-11-01T22:52:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of hub genes associated with spermatogenesis by bioinformatics analysis.", "doi": "10.1038/s41598-023-45620-3", "pmid": "37891374", "authors": ["Shuang Liu", "Yan-Chao Bian", "Wan-Lun Wang", "Tong-Jia Liu", "Ting Zhang", "Yue Chang", "Rui Xiao", "Chuan-Ling Zhang"], "journal": "Scientific reports", "year": 2023, "abstract": "Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our objective was to determine the hub genes that play a crucial role in spermatogenesis by analyzing the differentially expressed genes (DEGs) present in non-obstructive azoospermia (NOA) compared to OA and normal samples using bioinformatics analysis. Four datasets, namely GSE45885, GSE45887, GSE9210 and GSE145467 were used. Functional enrichment analyses were performed on the DEGs. Hub genes were identified based on protein-protein interactions between DEGs. The expression of the hub genes was further examined in the testicular germ cell tumors from the TCGA by the GEPIA and validated by qRT-PCR in the testes of lipopolysaccharide-induced acute orchitis mice with impaired spermatogenesis. A total of 203 DEGs including 34 up-regulated and 169 down-regulated were identified. Functional enrichment analysis showed DEGs were mainly involved in microtubule motility, the process of cell growth and protein transport. PRM2, TEKT2, FSCN3, UBQLN3, SPATS1 and GTSF1L were identified and validated as hub genes for spermatogenesis. Three of them (PRM2, FSCN3 and TEKT2) were significantly down-regulated in the testicular germ cell tumors and their methylation levels were associated with the pathogenesis. In summary, the hub genes identified may be related to spermatogenesis and may act as potential therapeutic targets for NOA and testicular germ cell tumors.", "claims": [{"id": "claim-method", "statement": "The limma package (version 3.52.1) was subsequently used for DEG identification. DEGs were screened based on the criteria of P adj < 0.05 and |log2(fold change, FC)|> 1.0.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37891374", "locator": "sections[14] \"Identification of DEGs\" paragraph 2", "quote": "The limma package (version 3.52.1) was subsequently used for DEG identification. DEGs were screened based on the criteria of P adj < 0.05 and |log2(fold change, FC)|> 1.0."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and/or analyzed for this study can be found in the GEO repository. GSE45885 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45885, GSE45887 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45887, GSE9210 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9210, GSE145467 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145467.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37891374", "locator": "sections[30] \"Data availability\" paragraph 2", "quote": "The datasets generated and/or analyzed for this study can be found in the GEO repository. GSE45885 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45885, GSE45887 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45887, GSE9210 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9210, GSE145467 is available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145467."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05).", "kind": "quantitative", "target": {"value": 2.0, "unit": "fold change", "tolerance": null, "source": "Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05)."}, "evidence": [{"asset": "source:pmid:37891374", "locator": "sections[3] \"Identification of DEGs\" paragraph 2", "quote": "Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Thus, we analyzed three datasets and identified 203 DEGs including 34 up-regulated and 169 down-regulated genes in NOA compared to OA and normal samples exhibiting normal spermatogenesis (|log2Fold change (FC)|> 1.0, P adjusted(adj) < 0.05).", "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:37891374"], "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. 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DEGs were screened based on the criteria of P adj < 0.05 and |log2(fold change, FC)|> 1.0."}}, {"id": "method-2", "family": "group_comparison", "specific": "student_t_test", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["student_t"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Student's t-test"}}, {"id": "method-3", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-4", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "bootstrap_mean_difference", "expected_value": 2.0, "unit": "fold change", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none."}], "gaps": ["method.reader_differs_from_extractor"]}, "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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