Model-directed generation of artificial CRISPR–Cas13a guide RNA sequences improves nucleic acid detection

Sreekar Mantena, Priya P. Pillai, Brittany A. Petros, Nicole L. Welch, Cameron Myhrvold, Pardis C. Sabeti, Hayden C. Metsky

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

CRISPR guide RNA sequences deriving exactly from natural sequences may not perform optimally in every application. Here we implement and evaluate algorithms for designing maximally fit, artificial CRISPR–Cas13a guides with multiple mismatches to natural sequences that are tailored for diagnostic applications. These guides offer more sensitive detection of diverse pathogens and discrimination of pathogen variants compared with guides derived directly from natural sequences and illuminate design principles that broaden Cas13a targeting.

Original languageEnglish (US)
JournalNature biotechnology
DOIs
StateAccepted/In press - 2024

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

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