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

Author:

Feng Wei,Beer Joanne,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 Alexandru,Spitzer JasperORCID,Buddika Kasun,Kuo Dwight,Fang Lei,Zhang Bingqing,Chen Steve,Latz Eicke,Yin Yiyuan,Luo Yuling,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 across the proteome. We report a novel proteomic technology – NUcleic acid Linked Immuno-Sandwich Assay (NULISA™) – that incorporates a dual capture and release mechanism to suppress the assay background and improves the sensitivity of the proximity ligation assay by over 10,000-fold to the attomolar level. It utilizes pairs of antibodies conjugated to DNA oligonucleotides that enable immunocomplex purification and generate reporter DNA containing target- and sample-specific barcodes for a next-generation sequencing-based, highly multiplexed readout. A 200-plex NULISA targeting 124 cytokines and chemokines and 80 other immune response-related proteins demonstrated superior sensitivity for detecting low-abundance proteins and high concordance with other immunoassays. The ultrahigh sensitivity allowed the detection of previously difficult-to-detect, but biologically important, low-abundance biomarkers in patients with autoimmune diseases and COVID-19. Fully automated NULISA addresses longstanding challenges in proteomic analysis of liquid biopsies and makes broad and in-depth proteomic analysis accessible to the general research community and future diagnostic applications.

Publisher

Cold Spring Harbor Laboratory

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