Whole transcriptome analysis to identify non-coding RNA regulators and hub genes in sperm of non-obstructive azoospermia by microarray, single-cell RNA sequencing, weighted gene co-expression network analysis, and mRNA-miRNA-lncRNA interaction analysis
BACKGROUND: The issue of male fertility is becoming increasingly common due to genetic differences inherited over generations. Gene expression and evaluation of non-coding RNA (ncRNA), crucial for sperm development, are significant factors. This gene expression can affect sperm motility and, consequ...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
11 June 2024
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| In: |
BMC genomics
Year: 2024, Jahrgang: 25, Heft: 1, Pages: 1-15 |
| ISSN: | 1471-2164 |
| DOI: | 10.1186/s12864-024-10506-9 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12864-024-10506-9 Verlag, kostenfrei, Volltext: http://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-024-10506-9 
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| Verfasserangaben: | Danial Hashemi Karoii, Hossein Azizi and Thomas Skutella |
MARC
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| 245 | 1 | 0 | |a Whole transcriptome analysis to identify non-coding RNA regulators and hub genes in sperm of non-obstructive azoospermia by microarray, single-cell RNA sequencing, weighted gene co-expression network analysis, and mRNA-miRNA-lncRNA interaction analysis |c Danial Hashemi Karoii, Hossein Azizi and Thomas Skutella |
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| 520 | |a BACKGROUND: The issue of male fertility is becoming increasingly common due to genetic differences inherited over generations. Gene expression and evaluation of non-coding RNA (ncRNA), crucial for sperm development, are significant factors. This gene expression can affect sperm motility and, consequently, fertility. Understanding the intricate protein interactions that play essential roles in sperm differentiation and development is vital. This knowledge could lead to more effective treatments and interventions for male infertility. MATERIALS AND METHODS: Our research aim to identify new and key genes and ncRNA involved in non-obstructive azoospermia (NOA), improving genetic diagnosis and offering more accurate estimates for successful sperm extraction based on an individual's genotype. RESULTS: We analyzed the transcript of three NOA patients who tested negative for genetic sperm issues, employing comprehensive genome-wide analysis of approximately 50,000 transcript sequences using microarray technology. This compared gene expression profiles between NOA sperm and normal sperm. We found significant gene expression differences: 150 genes were up-regulated, and 78 genes were down-regulated, along with 24 ncRNAs up-regulated and 13 ncRNAs down-regulated compared to normal conditions. By cross-referencing our results with a single-cell genomics database, we identified overexpressed biological process terms in differentially expressed genes, such as "protein localization to endosomes" and "xenobiotic transport." Overrepresented molecular function terms in up-regulated genes included "voltage-gated calcium channel activity," "growth hormone-releasing hormone receptor activity," and "sialic acid transmembrane transporter activity." Analysis revealed nine hub genes associated with NOA sperm: RPL34, CYB5B, GOL6A6, LSM1, ARL4A, DHX57, STARD9, HSP90B1, and VPS36. CONCLUSIONS: These genes and their interacting proteins may play a role in the pathophysiology of germ cell abnormalities and infertility. | ||
| 650 | 4 | |a Azoospermia | |
| 650 | 4 | |a Gene Expression Profiling | |
| 650 | 4 | |a Gene Regulatory Networks | |
| 650 | 4 | |a Genes expression | |
| 650 | 4 | |a Humans | |
| 650 | 4 | |a Infertility | |
| 650 | 4 | |a Male | |
| 650 | 4 | |a MicroRNAs | |
| 650 | 4 | |a Non-coding RNA | |
| 650 | 4 | |a Non-obstructive azoospermia | |
| 650 | 4 | |a Oligonucleotide Array Sequence Analysis | |
| 650 | 4 | |a RNA, Long Noncoding | |
| 650 | 4 | |a RNA, Messenger | |
| 650 | 4 | |a Sequence Analysis, RNA | |
| 650 | 4 | |a Single-cell | |
| 650 | 4 | |a Single-Cell Analysis | |
| 650 | 4 | |a Sperm | |
| 650 | 4 | |a Spermatozoa | |
| 650 | 4 | |a Transcriptome | |
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| 700 | 1 | |a Skutella, Thomas |d 1963- |e VerfasserIn |0 (DE-588)120568225 |0 (DE-627)080752047 |0 (DE-576)180448390 |4 aut | |
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