Insights from the Applications of Single-Cell Transcriptomic Analysis in Germ Cell Development and Reproductive Medicine

Int J Mol Sci. 2021 Jan 15;22(2):823. doi: 10.3390/ijms22020823.

Abstract

Mechanistic understanding of germ cell formation at a genome-scale level can aid in developing novel therapeutic strategies for infertility. Germ cell formation is a complex process that is regulated by various mechanisms, including epigenetic regulation, germ cell-specific gene transcription, and meiosis. Gonads contain a limited number of germ cells at various stages of differentiation. Hence, genome-scale analysis of germ cells at the single-cell level is challenging. Conventional genome-scale approaches cannot delineate the landscape of genomic, transcriptomic, and epigenomic diversity or heterogeneity in the differentiating germ cells of gonads. Recent advances in single-cell genomic techniques along with single-cell isolation methods, such as microfluidics and fluorescence-activated cell sorting, have helped elucidate the mechanisms underlying germ cell development and reproductive disorders in humans. In this review, the history of single-cell transcriptomic analysis and their technical advantages over the conventional methods have been discussed. Additionally, recent applications of single-cell transcriptomic analysis for analyzing germ cells have been summarized.

Keywords: fertility; germ cell; reproductive medicine; scRNA-seq; transcriptome.

Publication types

  • Review

MeSH terms

  • Animals
  • Cell Differentiation / physiology
  • Cell Separation
  • Drug Design
  • Epigenesis, Genetic
  • Epigenome
  • Female
  • Fertility
  • Flow Cytometry
  • Gene Expression Profiling
  • Genome
  • Germ Cells / cytology*
  • Gonads
  • Humans
  • Imaging, Three-Dimensional
  • Male
  • Mice
  • Oocytes / cytology
  • Ovary / metabolism
  • RNA, Small Cytoplasmic / metabolism*
  • RNA-Seq
  • Reproduction / physiology
  • Reproductive Medicine / methods*
  • Reproductive Medicine / trends
  • Single-Cell Analysis / methods*
  • Single-Cell Analysis / trends
  • Spermatogonia / metabolism
  • Testis
  • Transcriptome*

Substances

  • RNA, Small Cytoplasmic