| Literature DB >> 33542154 |
Tyler M Lu1,2, Sean Houghton1, Tarig Magdeldin3, José Gabriel Barcia Durán1, Andrew P Minotti4,5, Amanda Snead6,7, Andrew Sproul6,7, Duc-Huy T Nguyen1, Jenny Xiang8, Howard A Fine3, Zev Rosenwaks2, Lorenz Studer5, Shahin Rafii1, Dritan Agalliu6,9, David Redmond10, Raphaël Lis10,2.
Abstract
Cells derived from pluripotent sources in vitro must resemble those found in vivo as closely as possible at both transcriptional and functional levels in order to be a useful tool for studying diseases and developing therapeutics. Recently, differentiation of human pluripotent stem cells (hPSCs) into brain microvascular endothelial cells (ECs) with blood-brain barrier (BBB)-like properties has been reported. These cells have since been used as a robust in vitro BBB model for drug delivery and mechanistic understanding of neurological diseases. However, the precise cellular identity of these induced brain microvascular endothelial cells (iBMECs) has not been well described. Employing a comprehensive transcriptomic metaanalysis of previously published hPSC-derived cells validated by physiological assays, we demonstrate that iBMECs lack functional attributes of ECs since they are deficient in vascular lineage genes while expressing clusters of genes related to the neuroectodermal epithelial lineage (Epi-iBMEC). Overexpression of key endothelial ETS transcription factors (ETV2, ERG, and FLI1) reprograms Epi-iBMECs into authentic endothelial cells that are congruent with bona fide endothelium at both transcriptomic as well as some functional levels. This approach could eventually be used to develop a robust human BBB model in vitro that resembles the human brain EC in vivo for functional studies and drug discovery.Entities:
Keywords: blood–brain barrier; cellular identity; endothelial cells; induced pluripotent; single-cell RNA sequencing
Mesh:
Substances:
Year: 2021 PMID: 33542154 PMCID: PMC7923590 DOI: 10.1073/pnas.2016950118
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205