A rapid and highly sensitive immunosorbent assay to monitor helicases unwinding diverse nucleic acid structures.


Journal

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

Informations de publication

Date de publication:
16 May 2023
Historique:
medline: 17 5 2023
pubmed: 15 5 2023
entrez: 15 5 2023
Statut: epublish

Résumé

Helicases are crucial enzymes in DNA and RNA metabolism and function by unwinding particular nucleic acid structures. However, most convenient and high-throughput helicase assays are limited to the typical duplex DNA. Herein, we developed an immunosorbent assay to monitor the Werner syndrome (WRN) helicase unwinding a wide range of DNA structures, such as a replication fork, a bubble, Holliday junction, G-quadruplex and hairpin. This assay could sensitively detect the unwinding of DNA structures with detection limits around 0.1 nM, and accurately monitor the substrate-specificity of WRN with a comparatively less time-consuming and high throughput process. Remarkably, we have established that this new assay was compatible in evaluating helicase inhibitors and revealed that the inhibitory effect was substrate-dependent, suggesting that diverse substrate structures other than duplex structures should be considered in discovering new inhibitors. Our study provided a foundational example for using this new assay as a powerful tool to study helicase functions and discover potent inhibitors.

Identifiants

pubmed: 37185609
doi: 10.1039/d2an01989b
doi:

Substances chimiques

RecQ Helicases EC 3.6.4.12
Immunosorbents 0
Werner Syndrome Helicase EC 3.6.4.12
Exodeoxyribonucleases EC 3.1.-
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2343-2351

Auteurs

Jia-En Wang (JE)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

Ying-Chen Zhou (YC)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

Bi-Han Wu (BH)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

Xiu-Cai Chen (XC)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

Junqiu Zhai (J)

Guangzhou University of Chinese Medicine, Guangzhou, Guangzhou 510330, China.

Jia-Heng Tan (JH)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

Zhi-Shu Huang (ZS)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

Shuo-Bin Chen (SB)

School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-sen University, Guangzhou 510006, China. chenshb8@mail.sysu.edu.cn.

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Classifications MeSH