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Rapid single-molecule digital detection of protein biomarkers for continuous monitoring of systemic immune disorders
Author(s) -
Yujing Song,
Erin Sandford,
Yuzi Tian,
Qingtian Yin,
Andrew G. Kozminski,
ShiuanHaur Su,
Tao Cai,
Yuxuan Ye,
Meng Ting Chung,
Ryan Lindstrom,
Annika Jane Goicochea,
Jenny Barabas,
Mary Olesnavich,
Michelle Rozwadowski,
Yongqing Li,
Hasan B. Alam,
Benjamin H. Singer,
Monalisa Ghosh,
Sung Won Choi,
Muneesh Tewari,
Katsuo Kurabayashi
Publication year - 2020
Publication title -
blood
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.515
H-Index - 465
eISSN - 1528-0020
pISSN - 0006-4971
DOI - 10.1182/blood.2019004399
Subject(s) - biomarker , digital polymerase chain reaction , immune system , turnaround time , detection limit , medicine , computational biology , immunology , biology , computer science , chemistry , biochemistry , chromatography , polymerase chain reaction , gene , operating system
Digital protein assays have great potential to advance immunodiagnostics because of their single-molecule sensitivity, high precision, and robust measurements. However, translating digital protein assays to acute clinical care has been challenging because it requires deployment of these assays with a rapid turnaround. Herein, we present a technology platform for ultrafast digital protein biomarker detection by using single-molecule counting of immune-complex formation events at an early, pre-equilibrium state. This method, which we term “pre-equilibrium digital enzyme-linked immunosorbent assay” (PEdELISA), can quantify a multiplexed panel of protein biomarkers in 10 µL of serum within an unprecedented assay incubation time of 15 to 300 seconds over a 104 dynamic range. PEdELISA allowed us to perform rapid monitoring of protein biomarkers in patients manifesting post-chimeric antigen receptor T-cell therapy cytokine release syndrome, with ∼30-minute sample-to-answer time and a sub–picograms per mL limit of detection. The rapid, sensitive, and low-input volume biomarker quantification enabled by PEdELISA is broadly applicable to timely monitoring of acute disease, potentially enabling more personalized treatment.

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