Direct Conversion of Human Fibroblasts into Neural Progenitors Using Transcription Factors Enriched in Human ESC-Derived Neural Progenitors

Pei Shan Hou, Ching Yu Chuang, Chan Hsien Yeh, Wei Chiang, Hsiao Jung Liu, Teng Nan Lin, Hung Chih Kuo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Early human embryonic stem cell (hESC)-derived neural populations consist of various embryonic neural progenitors (ENPs) with broad neural developmental propensity. Here, we sought to directly convert human somatic cells into ENP-like phenotypes using hESC-ENP-enriched neural transcription factors (TFs). We demonstrated that induced ENP could be efficiently converted from human fibroblasts using two TF combinations. The iENPs exhibit cellular and molecular characteristics resembling hESC-ENPs and can give rise to astrocytes, oligodendrocytes, and functional neuronal subtypes of the central and peripheral nervous system. Nevertheless, our analyses further revealed that these two iENP populations differ in terms of their proliferation ability and neuronal propensity. Finally, we demonstrated that the iENPs can be induced from fibroblasts from patients with Huntington's disease and Alzheimer's disease, and the diseased iENPs and their neuronal derivatives recapitulated the hallmark pathological features of the diseases. Collectively, our results point toward a promising strategy for generating iENPs from somatic cells for disease modeling and future clinical intervention.

Original languageEnglish
Pages (from-to)54-68
Number of pages15
JournalStem Cell Reports
Volume8
Issue number1
DOIs
StatePublished - 10 Jan 2017

Keywords

  • cell fate conversion
  • disease modeling
  • induced neural progenitors
  • transcription factors

Fingerprint

Dive into the research topics of 'Direct Conversion of Human Fibroblasts into Neural Progenitors Using Transcription Factors Enriched in Human ESC-Derived Neural Progenitors'. Together they form a unique fingerprint.

Cite this