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

Authors :
Wei Feng
Joanne C. Beer
Qinyu Hao
Ishara S. Ariyapala
Aparna Sahajan
Andrei Komarov
Katie Cha
Mason Moua
Xiaolei Qiu
Xiaomei Xu
Shweta Iyengar
Thu Yoshimura
Rajini Nagaraj
Li Wang
Ming Yu
Kate Engel
Lucas Zhen
Wen Xue
Chen-jung Lee
Chan Ho Park
Cheng Peng
Kaiyuan Zhang
Adrian Grzybowski
Johnnie Hahm
Susanne V. Schmidt
Alexandru Odainic
Jasper Spitzer
Kasun Buddika
Dwight Kuo
Lei Fang
Bingqing Zhang
Steve Chen
Eicke Latz
Yiyuan Yin
Yuling Luo
Xiao-Jun Ma
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract The 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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.3f6aea96fd8e40769e73092e61e4b35a
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-42834-x