Dynamic Addressing Molecular Robot (DAMR): An Effective and Efficient Trial‐and‐Error Approach for the Analysis of Single Nucleotide Polymorphisms

Author:

Chen Tianshu12,Chen Guifang3,Cao Siyu3,Tang Xiaochen12,Li Wenxing4,Liu Chenbin4,Gou Hongquan4,Sun Pei3,Mao Yichun3,Pan Qiuhui12,Zhang Penghui5,Zhu Xiaoli4ORCID

Affiliation:

1. Clinical Laboratory, Shanghai Children's Medical Center School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China

2. Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics Shanghai 200127 P. R. China

3. Center for Molecular Recognition and Biosensing, School of Life Sciences Shanghai University Shanghai 200444 P. R. China

4. Department of Clinical Laboratory Medicine Shanghai Tenth People's Hospital of Tongji University Shanghai 200072 P. R. China

5. Department of Laboratory Medicine Shanghai Pudong New Area People's Hospital Shanghai 201299 P. R. China

Abstract

AbstractAccurate and efficient molecular recognition plays a crucial role in the fields of molecular detection and diagnostics. Conventional trial‐and‐error‐based molecular recognition approaches have always been challenged in distinguishing minimal differences between targets and non‐targets, such as single nucleotide polymorphisms (SNPs) of oligonucleotides. To address these challenges, here, a novel concept of dynamic addressing analysis is proposed. In this concept, by dissecting the regions of the target and creating a corresponding recognizer, it is possible to eliminate the inaccuracy and inefficiency of recognition. To achieve this concept, a Dynamic Addressing Molecular Robot (DAMR), a DNA‐based dynamic addressing device is developed which is capable of dynamically locating targets. DAMR is designed to first bind to the conserved region of the target while addressing the specific region dynamically until accurate recognition is achieved. DAMR has provided an approach for analyzing low‐resolution targets and has been used for analyzing SNP of miR‐196a2 in both cell and serum samples, which has opened new avenues for effective and efficient molecular recognition.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai Municipality

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