Directed Evolution of Reprogramming Factors by Cell Selection and Sequencing

Stem Cell Reports. 2018 Aug 14;11(2):593-606. doi: 10.1016/j.stemcr.2018.07.002. Epub 2018 Aug 2.

Abstract

Directed biomolecular evolution is widely used to tailor and enhance enzymes, fluorescent proteins, and antibodies but has hitherto not been applied in the reprogramming of mammalian cells. Here, we describe a method termed directed evolution of reprogramming factors by cell selection and sequencing (DERBY-seq) to identify artificially enhanced and evolved reprogramming transcription factors. DERBY-seq entails pooled screens with libraries of positionally randomised genes, cell selection based on phenotypic readouts, and genotyping by amplicon sequencing for candidate identification. We benchmark this approach using pluripotency reprogramming with libraries based on the reprogramming factor SOX2 and the reprogramming incompetent endodermal factor SOX17. We identified several SOX2 variants outperforming the wild-type protein in three- and four-factor cocktails. The most effective variants were discovered from the SOX17 library, demonstrating that this factor can be converted into a highly potent inducer of pluripotency with a range of diverse modifications. We propose DERBY-seq as a broad-based approach to discover reprogramming factors for any donor/target cell combination applicable to direct lineage reprogramming in vitro and in vivo.

Keywords: OCT4; SOX17; SOX2; cellular reprogramming; deep mutational scanning; directed evolution; protein engineering; synthetic biology; synthetic transcription factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Binding Sites
  • Biomarkers
  • Cell Differentiation*
  • Cell Line
  • Cellular Reprogramming / genetics*
  • Gene Library
  • High-Throughput Nucleotide Sequencing*
  • Induced Pluripotent Stem Cells / cytology
  • Induced Pluripotent Stem Cells / metabolism
  • Mice
  • Nucleotide Motifs
  • Protein Binding
  • Protein Engineering*
  • Transcription Factors / genetics
  • Transcription Factors / metabolism

Substances

  • Biomarkers
  • Transcription Factors