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Post-translation digital data encoding into the genomes of mammalian cell populations.
Callisto, Alec; Strutz, Jonathan; Leeper, Kathleen; Kalhor, Reza; Church, George; Tyo, Keith E J; Bhan, Namita.
Affiliation
  • Callisto A; Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
  • Strutz J; Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
  • Leeper K; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Kalhor R; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Church G; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Tyo KEJ; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Bhan N; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
bioRxiv ; 2024 May 12.
Article in En | MEDLINE | ID: mdl-38765976
ABSTRACT
High resolution cellular signal encoding is critical for better understanding of complex biological phenomena. DNA-based biosignal encoders alter genomic or plasmid DNA in a signal dependent manner. Current approaches involve the signal of interest affecting a DNA edit by interacting with a signal specific promoter which then results in expression of the effector molecule (DNA altering enzyme). Here, we present the proof of concept of a biosignal encoding system where the enzyme terminal deoxynucleotidyl transferase (TdT) acts as the effector molecule upon directly interacting with the signal of interest. A template independent DNA polymerase (DNAp), TdT incorporates nucleotides at the 3' OH ends of DNA substrate in a signal dependent manner. By employing CRISPR-Cas9 to create double stranded breaks in genomic DNA, we make 3'OH ends available to act as substrate for TdT. We show that this system can successfully resolve and encode different concentrations of various biosignals into the genomic DNA of HEK-293T cells. Finally, we develop a simple encoding scheme associated with the tested biosignals and encode the message "HELLO WORLD" into the genomic DNA of HEK-293T cells at a population level with 91% accuracy. This work demonstrates a simple and engineerable system that can reliably store local biosignal information into the genomes of mammalian cell populations.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Type: Article Affiliation country: United States