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Sensing and guiding cell-state transitions by using genetically encoded endoribonuclease-mediated microRNA sensors.
Wang, Lei; Xu, Wenlong; Zhang, Shun; Gundberg, Gregory C; Zheng, Christine R; Wan, Zhengpeng; Mustafina, Kamila; Caliendo, Fabio; Sandt, Hayden; Kamm, Roger; Weiss, Ron.
  • Wang L; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. lei1.wang@northeastern.edu.
  • Xu W; Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA. lei1.wang@northeastern.edu.
  • Zhang S; Department of Bioengineering, Northeastern University, Boston, MA, USA. lei1.wang@northeastern.edu.
  • Gundberg GC; Department of Biology, Northeastern University, Boston, MA, USA. lei1.wang@northeastern.edu.
  • Zheng CR; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Wan Z; Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Mustafina K; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Caliendo F; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
  • Sandt H; State Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Kamm R; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Weiss R; Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Biomed Eng ; 2024 Jul 09.
Article en En | MEDLINE | ID: mdl-38982158
ABSTRACT
Precisely sensing and guiding cell-state transitions via the conditional genetic activation of appropriate differentiation factors is challenging. Here we show that desired cell-state transitions can be guided via genetically encoded sensors, whereby endogenous cell-state-specific miRNAs regulate the translation of a constitutively transcribed endoribonuclease, which, in turn, controls the translation of a gene of interest. We used this approach to monitor several cell-state transitions, to enrich specific cell types and to automatically guide the multistep differentiation of human induced pluripotent stem cells towards a haematopoietic lineage via endothelial cells as an intermediate state. Such conditional activation of gene expression is durable and resistant to epigenetic silencing and could facilitate the monitoring of cell-state transitions in physiological and pathological conditions and eventually the 'rewiring' of cell-state transitions for applications in organoid-based disease modelling, cellular therapies and regenerative medicine.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article