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SHERLOCK: nucleic acid detection with CRISPR nucleases.
Kellner, Max J; Koob, Jeremy G; Gootenberg, Jonathan S; Abudayyeh, Omar O; Zhang, Feng.
Afiliação
  • Kellner MJ; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Koob JG; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Gootenberg JS; Broad Institute of MIT and Harvard, Cambridge, MA, USA. jgoot@mit.edu.
  • Abudayyeh OO; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. jgoot@mit.edu.
  • Zhang F; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA. jgoot@mit.edu.
Nat Protoc ; 14(10): 2986-3012, 2019 10.
Article em En | MEDLINE | ID: mdl-31548639
ABSTRACT
Rapid detection of nucleic acids is integral to applications in clinical diagnostics and biotechnology. We have recently established a CRISPR-based diagnostic platform that combines nucleic acid pre-amplification with CRISPR-Cas enzymology for specific recognition of desired DNA or RNA sequences. This platform, termed specific high-sensitivity enzymatic reporter unlocking (SHERLOCK), allows multiplexed, portable, and ultra-sensitive detection of RNA or DNA from clinically relevant samples. Here, we provide step-by-step instructions for setting up SHERLOCK assays with recombinase-mediated polymerase pre-amplification of DNA or RNA and subsequent Cas13- or Cas12-mediated detection via fluorescence and colorimetric readouts that provide results in <1 h with a setup time of less than 15 min. We also include guidelines for designing efficient CRISPR RNA (crRNA) and isothermal amplification primers, as well as discuss important considerations for multiplex and quantitative SHERLOCK detection assays.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ácidos Nucleicos / Endonucleases / Sistemas CRISPR-Cas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ácidos Nucleicos / Endonucleases / Sistemas CRISPR-Cas Idioma: En Ano de publicação: 2019 Tipo de documento: Article