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Recording transcriptional histories using Record-seq.

Tanmay TannaFlorian SchmidtMariia Y CherepkovaMichal OkoniewskiRandall J Platt
Published in: Nature protocols (2020)
It is difficult to elucidate the transcriptional history of a cell using current experimental approaches, as they are destructive in nature and therefore describe only a moment in time. To overcome these limitations, we recently established Record-seq, a technology that enables transcriptional recording by CRISPR spacer acquisition from RNA. The recorded transcriptomes are recovered by SENECA, a method that selectively amplifies expanded CRISPR arrays, followed by deep sequencing. The resulting CRISPR spacers are aligned to the host genome, thereby enabling transcript quantification and associated analyses. Here, we describe the experimental procedures of the Record-seq workflow as well as subsequent data analysis. Beginning with the experimental design, Record-seq data can be obtained and analyzed within 1-2 weeks.
Keyphrases
  • genome wide
  • single cell
  • rna seq
  • data analysis
  • dna methylation
  • gene expression
  • genome editing
  • crispr cas
  • transcription factor
  • electronic health record
  • heat shock
  • stem cells
  • cell therapy
  • machine learning