ArticlePloS one2023
RNA sequencing-based transcriptome analysis of granulosa cells from follicular fluid: Genes involved in embryo quality during in vitro fertilization and embryo transfer.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Transcriptome analysis of follicular granulosa cells in young women with diminished ovarian reserve.Reproductive biology and endocrinology : RB&E · 2026Article
- CNOT3 resists ovarian aging by accelerating oocyte maturation and promoting ESCs differentiation.Stem cell research & therapy · 2026Article
- Treatment of human oocytes with extracellular vesicles from follicular fluid during rescueHuman reproduction open · 2026Article
- Gene regulation by non-Coding RNAs in infertility: a mechanistic review.Journal of ovarian research · 2025Review
- Porcine granulosa cell transcriptomic analyses reveal the differential regulation of lncRNAs and mRNAs in response to all-trans retinoic acid in vitro.Animal bioscience · 2025Article
- Gene expression analysis of ovarian follicles and stromal cells in girls with Turner syndrome.Molecular human reproduction · 2024Article
- Identification and Preliminary Analysis of Granulosa Cell Biomarkers to Predict Oocyte In Vitro Maturation Outcome in the Southern White Rhinoceros (Animals : an open access journal from MDPI · 2024Article
- Small extracellular vesicles in follicular fluids for predicting reproductive outcomes in assisted reproductive technology.Communications medicine · 2024Article
- Decoding the Follicular Fluid Microenvironment: Integrative Biomarkers and Multiomics Signatures to Predict IVF Outcomes.Reproductive medicine and biologyReview
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGranulosa cells play an important role in folliculogenesis, however, the role of RNA transcripts of granulosa cells in assessing embryo quality remains unclear. Therefore, we aims to investigate that RNA transcripts of granulosa cells be used to assess the probability of the embryonic developmental capacity.
methodsThis prospective cohort study was attempted to figure out the probability of the embryonic developmental capacity using RNA sequencing of granulosa cells. Granulosa cells were collected from 48 samples in good-quality embryo group and 79 in only poor- quality embryo group from women undergoing in vitro fertilization and embryo transfer treatment. Three samples from each group were used for RNA sequencing.
results226 differentially expressed genes (DEGs) were related to high developmental competence of embryos. Gene Ontology enrichment analysis indicated that these DEGs were primarily involved in biological processes, molecular functions, and cellular components. Additionally, pathway analysis revealed that these DEGs were enriched in 13 Kyoto Encyclopedia of Genes and Genomes pathways. Reverse transcription quantitative polymerase chain reaction verified the differential expression of the 13 selected DEGs. Among them,10 genes were differently expressed in the poor-quality embryo group compared to good-quality embryo group, including CSF1R, CTSH, SERPINA1, CYP27A1, ITGB2, IL1β, TNF, TAB1, BCL2A1, and CCL4.
conclusionsRNA sequencing data provide the support or confute granulosa expressed genes as non-invasive biomarkers for identifying the embryonic developmental capacity.
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