The application of cell surface markers to demarcate distinct human pluripotent states

Exp Cell Res. 2020 Feb 1;387(1):111749. doi: 10.1016/j.yexcr.2019.111749. Epub 2019 Nov 30.

Abstract

Recent advances in human pluripotent stem cell (hPSC) research have uncovered different subpopulations within stem cell cultures and have captured a range of pluripotent states that hold distinct molecular and functional properties. At the two ends of the pluripotency spectrum are naïve and primed hPSC, whereby naïve hPSC grown in stringent conditions recapitulate features of the preimplantation human embryo, and the conventionally grown primed hPSC align closer to the early postimplantation embryo. Investigating these cell types will help to define the mechanisms that control early development and should provide new insights into stem cell properties such as cell identity, differentiation and reprogramming. Monitoring cell surface marker expression provides a valuable approach to resolve complex cell populations, to directly compare between cell types, and to isolate viable cells for functional experiments. This review discusses the discovery and applications of cell surface markers to study human pluripotent cell types with a particular focus on the transitions between naïve and primed states. Highlighted areas for future study include the potential functions for the identified cell surface proteins in pluripotency, the production of new high-quality monoclonal antibodies to naïve-specific protein epitopes and the use of cell surface markers to characterise subpopulations within pluripotent states.

Keywords: Antibodies; Cell surface markers; Immunophenotyping; Naïve; Pluripotent stem cells; Primed; Reprogramming.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Biomarkers / metabolism*
  • Cell Differentiation / physiology
  • Embryonic Development / physiology
  • Embryonic Stem Cells / metabolism
  • Humans
  • Membrane Proteins / metabolism*
  • Pluripotent Stem Cells / metabolism*

Substances

  • Biomarkers
  • Membrane Proteins