Your browser doesn't support javascript.
loading
Protein-to-DNA Converter with High Signal Gain.
Ang, Yan Shan; Yung, Lin-Yue Lanry.
Afiliação
  • Ang YS; Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
  • Yung LL; Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
ACS Nano ; 18(15): 10454-10463, 2024 Apr 16.
Article em En | MEDLINE | ID: mdl-38572806
ABSTRACT
DNA isothermal amplification techniques have been applied extensively for evaluating nucleic acid inputs but cannot be implemented directly on other types of biomolecules. In this work, we designed a proximity activation mechanism that converts protein input into DNA barcodes for the DNA exponential amplification reaction, which we termed PEAR. Several design parameters were identified and experimentally verified, which included the choice of enzymes, sequences of proximity probes and template strand via the NUPACK design tool, and the implementation of a hairpin lock on the proximity probe structure. Our PEAR system was surprisingly more robust against nonspecific DNA amplification, which is a major challenge faced in existing formats of the DNA-based exponential amplification reaction. The as-designed PEAR exhibited good target responsiveness for three protein models with a dynamic range of 4-5 orders of magnitude down to femtomolar input concentration. Overall, our proposed protein-to-DNA converter module led to the development of a stable and robust configuration of the DNA exponential amplification reaction to achieve high signal gain. We foresee this enabling the use of protein inputs for more complex molecular evaluation as well as ultrasensitive protein detection.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Técnicas Biossensoriais Idioma: En Revista: ACS Nano Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Técnicas Biossensoriais Idioma: En Revista: ACS Nano Ano de publicação: 2024 Tipo de documento: Article