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Sensing and guiding cell-state transitions by using genetically encoded endoribonuclease-mediated microRNA sensors.

Lei WangWenlong XuShun ZhangGregory C GundbergChristine R ZhengZhengpeng WanKamila MustafinaFabio CaliendoHayden SandtRoger Dale KammRon Weiss
Published in: Nature biomedical engineering (2024)
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.
Keyphrases
  • single cell
  • gene expression
  • endothelial cells
  • cell therapy
  • dna methylation
  • stem cells
  • genome wide
  • mesenchymal stem cells
  • bone marrow
  • quantum dots
  • low cost
  • fluorescent probe
  • single molecule