Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells

Mol Syst Biol. 2022 Nov;18(11):e10886. doi: 10.15252/msb.202110886.

Abstract

During development, cell state transitions are coordinated through changes in the identity of molecular regulators in a cell type- and dose-specific manner. The ability to rationally engineer such transitions in human pluripotent stem cells (hPSC) will enable numerous applications in regenerative medicine. Herein, we report the generation of synthetic gene circuits that can detect a desired cell state using AND-like logic integration of endogenous miRNAs (classifiers) and, upon detection, produce fine-tuned levels of output proteins using an miRNA-mediated output fine-tuning technology (miSFITs). Specifically, we created an "hPSC ON" circuit using a model-guided miRNA selection and circuit optimization approach. The circuit demonstrates robust PSC-specific detection and graded output protein production. Next, we used an empirical approach to create an "hPSC-Off" circuit. This circuit was applied to regulate the secretion of endogenous BMP4 in a state-specific and fine-tuned manner to control the composition of differentiating hPSCs. Our work provides a platform for customized cell state-specific control of desired physiological factors in hPSC, laying the foundation for programming cell compositions in hPSC-derived tissues and beyond.

Keywords: cell fate control; classification; human pluripotent stem cells; protein tuning; synthetic gene circuits.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Differentiation / genetics
  • Gene Regulatory Networks
  • Genes, Synthetic
  • Humans
  • MicroRNAs* / genetics
  • MicroRNAs* / metabolism
  • Pluripotent Stem Cells* / metabolism
  • Proteins / metabolism

Substances

  • MicroRNAs
  • Proteins