Related Experiment Video
Updated: Sep 13, 2025

08:00
Defining the Program of Maternal mRNA Translation during In vitro Maturation using a Single Oocyte Reporter Assay
Published on: June 16, 2021
4.5K
Granulosa-cumulus cells global transcriptome sequencing as a predictor of embryo development: a preliminary study
Raoul Orvieto1,2,3, Louisa Cohen4, Chen Shimon5
1Infertility and IVF Unit, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center (Tel Hashomer), Ramat Gan, Israel - raoul.orvieto@sheba.health.gov.il.
Minerva Obstetrics and Gynecology
|July 30, 2025
Summary
Cumulus granulosa cells (CGCs) surrounding human oocytes were sequenced to identify gene expression differences. This reveals potential biomarkers for oocyte quality and blastocyst development potential.
Area of Science:
- Reproductive Biology
- Genomics
- Embryology
Background:
- Cumulus granulosa cells (CGCs) play a crucial role in oocyte maturation and development.
- Understanding the molecular mechanisms underlying oocyte developmental potential is essential for improving fertility treatments.
Purpose of the Study:
- To investigate the global transcriptome of human oocyte-derived CGCs.
- To identify gene expression patterns correlating with oocyte development to the blastocyst stage.
Main Methods:
- Collected and cryopreserved expanded CGCs from sibling oocytes, one developing to blastocyst and one arrested.
- Performed global transcriptome sequencing on CGCs using the NEBNext® Single Cell/Low Input RNA Library Prep Kit.
- Compared gene expression profiles between CGCs of blastocyst-developing and arrested oocytes.
Main Results:
- Identified five differentially expressed genes between blastocyst and arrested CGCs.
- AL031598.1, AC126773.5, AL022721.1, and AC093334.1 were significantly upregulated in blastocyst-developing oocytes.
- CBLN2 was significantly downregulated in blastocyst-developing oocytes compared to arrested ones.
Conclusions:
- Transcriptional profiling of CGCs offers insights into oocyte developmental potential.
- Specific genes and long non-coding RNAs may serve as biomarkers for oocyte quality.
- Further validation in larger cohorts is needed for clinical application in fertility treatments.

