Derivation of Brain Capillary-like Endothelial Cells from Human Pluripotent Stem Cell-Derived Endothelial Progenitor Cells

Stem Cell Reports. 2019 Oct 8;13(4):599-611. doi: 10.1016/j.stemcr.2019.08.002. Epub 2019 Sep 5.

Abstract

The derivation of human brain capillary endothelial cells is of utmost importance for drug discovery programs focusing on diseases of the central nervous system. Here, we describe a two-step differentiation protocol to derive brain capillary-like endothelial cells from human pluripotent stem cells. The cells were initially differentiated into endothelial progenitor cells followed by specification into a brain capillary-like endothelial cell phenotype using a protocol that combined the induction, in a time-dependent manner, of VEGF, Wnt3a, and retinoic acid signaling pathways and the use of fibronectin as the extracellular matrix. The brain capillary-like endothelial cells displayed a permeability to lucifer yellow of 1 × 10-3 cm/min, a transendothelial electrical resistance value of 60 Ω cm2 and were able to generate a continuous monolayer of cells expressing ZO-1 and CLAUDIN-5 but moderate expression of P-glycoprotein. Further maturation of these cells required coculture with pericytes. The study presented here opens a new approach for the study of soluble and non-soluble factors in the specification of endothelial progenitor cells into brain capillary-like endothelial cells.

Keywords: blood-brain barrier; brain capillary-like endothelial cells; extracellular matrices; induced pluripotent stem cells; in vitro model; soluble factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Blood-Brain Barrier / cytology
  • Cell Differentiation*
  • Cells, Cultured
  • Endothelial Progenitor Cells / cytology*
  • Endothelial Progenitor Cells / metabolism
  • Endothelium, Vascular / cytology
  • Extracellular Matrix / metabolism
  • Humans
  • Immunophenotyping
  • Pluripotent Stem Cells / cytology*
  • Pluripotent Stem Cells / metabolism

Substances

  • Biomarkers