4.6 Article

Expression of long noncoding RNAs in the ovarian granulosa cells of women with diminished ovarian reserve using high-throughput sequencing

Journal

JOURNAL OF OVARIAN RESEARCH
Volume 15, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13048-022-01053-6

Keywords

Diminished ovary reserve; Ovarian granulosa cells; Long non-coding RNA; High-throughput sequencing

Funding

  1. Natural Science Foundation of Shandong Province [ZR2021MH255]
  2. National Natural Science Foundation of China [81703958, 81774355, 81974577, 82274573]
  3. Key Technology Research and Development Program of Shandong [2019GSF108067]

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This study compared the expression profiles of lncRNA and mRNA in ovarian granulosa cells (OGCs) between patients with normal ovarian reserve (NOR) and diminished ovarian reserve (DOR) using RNA sequencing. The identified lncRNAs and mRNAs may serve as novel diagnostic biomarkers for patients with DOR.
Background Infertility is a global reproductive-health problem, and diminished ovarian reserve (DOR) is one of the common causes of female infertility. Long noncoding RNAs (lncRNAs) are crucial regulators of numerous physiological and pathological processes in humans. However, whether lncRNAs are involved in the development of DOR remains to be elucidated. Methods Ovarian granulosa cells (OGCs) extracted from infertile women with DOR and from women with normal ovarian reserve (NOR) were subjected to high-throughput sequencing. Comprehensive bioinformatics analysis was conducted to identify the differential expression of messenger RNAs (mRNAs) and lncRNAs. Sequencing results were validated by the selection of lncRNAs and mRNAs using real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Results Compared with the NOR group, a total of 244 lncRNAs were upregulated (53 known and 191 novel), and 222 lncRNAs were downregulated (36 known and 186 novel) in the DOR group. Similarly, 457 mRNAs had differential expression between the two groups. Of these, 169 were upregulated and 288 were downregulated. Bioinformatics analysis revealed that the differentially expressed genes of mRNA and lncRNAs were considerably enriched in cell adhesion and apoptosis, steroid biosynthesis, and immune system. A co-expression network comprising lncRNAs and their predicted target genes revealed the possible involvement of the thyroid hormone signaling pathway and protein binding, digestion and absorption in DOR pathogenesis. The expression of SLC16A10 was positively regulated by multiple lncRNAs. After RT-qPCR validation of seven differentially expressed lncRNAs and mRNAs, respectively, the expression of lncRNA NEAT1, GNG12, ZEB2-AS1, and mRNA FN1, HAS3, RGS4, SUOX were in accordance with RNA-sequencing. Conclusions We presented the first data showing that the expression profiles of lncRNA and mRNA in OGCs between NOR and DOR patients using RNA sequencing. The lncRNAs and mRNAs that we identified may serve as novel diagnostic biomarkers for patients with DOR.

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