Detecting Embryo Developmental Potential by Single Blastomere RNA-Seq

Genes (Basel). 2023 Feb 24;14(3):569. doi: 10.3390/genes14030569.

Abstract

Recent advances in preimplantation embryo diagnostics enable a wide range of applications using single cell biopsy and molecular-based selection techniques without compromising embryo production. This study was conducted to develop a single cell embryo biopsy technique and gene expression analysis method with a very low input volume to ensure normal embryo development and to see if there are differences in gene expression profiles between day-5 biopsied bovine embryos that developed into blastocysts and embryos arrested at morula stage. Out of the 65 biopsied morulae, 32 developed to blastocysts (49.2%). Out of the 13,580 successfully annotated genes, 1204 showed a difference in mRNA expression level. Out of these, 155 genes were expressed in embryos developing to blastocysts. The pathway enrichment analysis revealed significant enrichment in "organelle biogenesis and maintenance", "mRNA splicing" and "mitochondrial translation" pathways. These findings suggest principal differences in gene expression patterns and functional networks of embryos able to reach the blastocyst stage compared to embryos arrested in development. Our preliminary data suggest that single blastomere biopsy and selected gene expression profiles at morula stage could offer additional possibilities for early preimplantation embryo selection before transfer.

Keywords: embryo developmental potential; preimplantation embryo diagnostics; preimplantation embryo selection; single blastomere biopsy; single cell embryo biopsy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Blastomeres*
  • Cattle
  • Embryonic Development / genetics
  • Female
  • Fertilization in Vitro / methods
  • Pregnancy
  • Preimplantation Diagnosis* / methods
  • RNA, Messenger
  • RNA-Seq

Substances

  • RNA, Messenger

Grants and funding

This study was supported by Enterprise Estonia grant EU30020, Institutional research funding IUT 8-1, Horizon 2020 Project SEARMET 692299 and the Estonian Research Council grant PRG1665.