NULISA: a proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing

Author:

Feng Wei,Beer Joanne C.ORCID,Hao Qinyu,Ariyapala Ishara S.,Sahajan Aparna,Komarov Andrei,Cha Katie,Moua Mason,Qiu Xiaolei,Xu Xiaomei,Iyengar Shweta,Yoshimura Thu,Nagaraj Rajini,Wang Li,Yu Ming,Engel Kate,Zhen Lucas,Xue Wen,Lee Chen-jung,Park Chan Ho,Peng Cheng,Zhang Kaiyuan,Grzybowski Adrian,Hahm Johnnie,Schmidt Susanne V.,Odainic AlexandruORCID,Spitzer JasperORCID,Buddika Kasun,Kuo DwightORCID,Fang Lei,Zhang Bingqing,Chen Steve,Latz EickeORCID,Yin Yiyuan,Luo YulingORCID,Ma Xiao-JunORCID

Abstract

AbstractThe blood proteome holds great promise for precision medicine but poses substantial challenges due to the low abundance of most plasma proteins and the vast dynamic range of the plasma proteome. Here we address these challenges with NUcleic acid Linked Immuno-Sandwich Assay (NULISA™), which improves the sensitivity of traditional proximity ligation assays by ~10,000-fold to attomolar level, by suppressing assay background via a dual capture and release mechanism built into oligonucleotide-conjugated antibodies. Highly multiplexed quantification of both low- and high-abundance proteins spanning a wide dynamic range is achieved by attenuating signals from abundant targets with unconjugated antibodies and next-generation sequencing of barcoded reporter DNA. A 200-plex NULISA containing 124 cytokines and chemokines and other proteins demonstrates superior sensitivity to a proximity extension assay in detecting biologically important low-abundance biomarkers in patients with autoimmune diseases and COVID-19. Fully automated NULISA makes broad and in-depth proteomic analysis easily accessible for research and diagnostic applications.

Funder

Deutsche Forschungsgemeinschaft

U.S. Department of Health & Human Services | NIH | National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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