A Cas12a-mediated cascade amplification method for microRNA detection.


Journal

The Analyst
ISSN: 1364-5528
Titre abrégé: Analyst
Pays: England
ID NLM: 0372652

Informations de publication

Date de publication:
21 Aug 2020
Historique:
pubmed: 2 7 2020
medline: 15 5 2021
entrez: 2 7 2020
Statut: ppublish

Résumé

MicroRNAs (miRNAs) play a vital role in various biological processes and act as important biomarkers for clinical cancer diagnosis, prognosis, and therapy. Here, we took advantage of Cas12a trans-cleavage activity to develop an enzyme-assisted cascade amplification method for isothermal miRNA detection. A target miRNA-initiated ligation reaction would allow for the production of transcription templates that triggered the transcriptional amplification of RNA strands. These RNA strands were cleaved by the 8-17E DNAzyme to generate crRNAs and recycled RNAs which have the same sequence as the target miRNA. The amplified abundant crRNAs bound to Cas12a and dsDNA activators to form the complex, which trans-cleaved the ssDNA reporters to generate a fluorescence signal for miRNA quantitative analysis. The proposed method exhibits a femtomolar limit of detection and a good specificity in distinguishing the homologous sequences of miRNAs. Its practical application ability was further tested in different cell lines.

Identifiants

pubmed: 32609115
doi: 10.1039/d0an00370k
doi:

Substances chimiques

DNA, Catalytic 0
MicroRNAs 0
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5547-5552

Auteurs

Huan-Huan Sun (HH)

Laboratory of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China. binchengyin@ecust.edu.cn bcye@ecust.edu.cn.

Articles similaires

Prader-Willi Syndrome Humans Angelman Syndrome CRISPR-Cas Systems Human Embryonic Stem Cells
Humans RNA, Circular Exosomes Cell Proliferation Epithelial-Mesenchymal Transition

The significance of miR-124 in the diagnosis and prognosis of glioma: A systematic review.

Elham Ghasemi, Mahdieh Mondanizadeh, Amir Almasi-Hashiani et al.
1.00
Humans MicroRNAs Glioma Prognosis Biomarkers, Tumor

Classifications MeSH