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Harnessing the CRISPR-Cas13d System for Protein Detection via Dual-aptamer-based Transcription Amplification.
Feng, Zhi-Yuan; Liu, Ran; Li, Xiang; Zhang, Jingjing.
  • Feng ZY; Nanjing University, Chemistry, CHINA.
  • Liu R; Nanjing University, Chemistry, CHINA.
  • Li X; Nanjing University, Chemistry, CHINA.
  • Zhang J; Nanjing university, Department of Chemistry, Xianlin Road 163, 210023, Nanjing, CHINA.
Chemistry ; 2022 Nov 18.
Article in English | MEDLINE | ID: covidwho-2308420
ABSTRACT
CRISPR-based biosensing technology has been emerging as a revolutionary diagnostics for many diseases-related biomarkers. In particular, RspCas13d, a newly identified RNA-guided Cas13d ribonuclease derived from Ruminococcus sp., has shown great promise for accurate and sensitive detection of RNA due to its RNA sequence-specific recognition and robust collateral trans-cleavage activity. However, its diagnostic utility is limited to detect nucleic-acid-related biomarkers. To address this limitation, we herein present a proof-of-concept demonstration of a target-responsive CRISPR-Cas13d sensing system for protein biomarkers. Such a system is rationally designed by integrating a Dual-Aptamer-based Transcription Amplification Strategy with CRISPR-Cas13d (DATAS-Cas13d), in which the protein binding initiates the in vitro RNA transcription followed by the activation of RspCas13d. Using a short fluorescent ssRNA as the signal reporter and cardiac troponin I (cTnI) as the model analyte, the DATAS-Cas13d system showed a wide linear range, low detection limit and high specificity for the detection of cTnI in buffer and human serum. Thanks to the facile integration of various bioreceptors into the DATAS-Cas13d system, the method could be adapted to detecting a broad range of clinically relevant protein biomarkers, and thus broaden the medical applications of Cas13d-based diagnostics.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal subject: Chemistry Year: 2022 Document Type: Article Affiliation country: Chem.202202693

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal subject: Chemistry Year: 2022 Document Type: Article Affiliation country: Chem.202202693