Use of OMICS technologies to solve the problems of reproductive medicine

Yulia S. Drapkina, Angelika V. Timofeeva, Vitaliy V. Chagovets, Alexey S. Kononikhin, Vladimir E. Frankevich, Kalinina Elena Anatolievna

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The authors have carried out a systems analysis of the data available in the current literature on the assessment of reproductive health by the metabolomic, proteomic, and transcriptomic profiles of germ cells and embryos at early developmental stages in order to improve the protocols of assisted reproductive technology (ART) programs. In recent years, scientists have paid close attention to the use of omics technologies for fertility assessment. The paper presents the results of embryo viability assessment by the metabolomic (analysis of the levels of carbohydrate and amino acids in the embryonic culture medium); proteomic (analysis of the protein spectrum in the blastocoel cavity, blastocyst secretome), and transcriptomic (studies of small noncoding RNAs during oogenesis, spermatogenesis, and early embryonic development) profiles. The results of the performed studies confirm the prospects and relevance of the analysis of the proteinaceous, metabolomic, and transcriptomic profiles of both blastocoel and blastocyst culture fluids to create a molecular portrait of embryos with different morphometric parameters and to develop diagnostic and prognostic test systems to assess the viability of an embryo and its implantation potential in the framework of ART programs.

Original languageEnglish
Pages (from-to)24-32
Number of pages9
JournalAkusherstvo i Ginekologiya (Russian Federation)
Issue number9
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • Assisted reproductive technology
  • Culture medium
  • Embryo quality
  • Embryo transfer
  • Endogenous small interfering RNAs (endo-siRNAs)
  • In vitro fertilization
  • Infertility
  • Mass spectrometry
  • Messenger RNA (mRNA)
  • Metabolome
  • MicroRNA (miRNA)
  • Noncoding RNAs (ncRNAs)
  • PiwiRNA (piRNA)
  • Pregnancy
  • Proteome

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