Biosensing strategies for amyloid‐like protein aggregates

Author:

Zhou Yuhang1ORCID,Yan Shijun2,Dong Wanting1,Wu Chenyao1,Zhao Zhen3,Wang Renzhi1,Duo Yanhong4,Huang Yongzhi5,Xu Ding6,Jiang Cheng12

Affiliation:

1. School of Medicine The Chinese University of Hong Kong (Shenzhen) Shenzhen China

2. Nuffield Department of Clinical Neurosciences John Radcliffe Hospital University of Oxford Oxford UK

3. Materials Interfaces Center Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

4. Wyss Institute for Biologically Inspired Engineering Harvard University Boston MA USA

5. Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China

6. Shenzhen Hicontac Technologies Co., LTD. Shenzhen China

Abstract

AbstractProtein aggregate species play a pivotal role in the pathology of various degenerative diseases. Their dynamic changes are closely correlated with disease progression, making them promising candidates as diagnostic biomarkers. Given the prevalence of degenerative diseases, growing attention is drawn to develop pragmatic and accessible protein aggregate species detection technology. However, the performance of current detection methods is far from satisfying the requirements of extensive clinical use. In this review, we focus on the design strategies, merits, and potential shortcomings of each class of detection methods. The review is organized into three major parts: native protein sensing, seed amplification, and intricate program, which embody three different but interconnected methodologies. To the best of our knowledge, no systematic review has encompassed the entire workflow, from the molecular level to the apparatus organization. This review emphasizes the feasibility of the methods instead of theoretical detection limitations. We conclude that high selectivity does play a pivotal role, while signal compilation, multilateral profiling, and other patient‐oriented strategies (i.e. less invasiveness and assay speed) are also important.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3