Bibliographic Details
Title: |
Acoustic ejection mass spectrometry empowers ultra-fast protein biomarker quantification. |
Authors: |
Van Puyvelde, Bart, Hunter, Christie L., Zhgamadze, Maxim, Savant, Sudha, Wang, Y. Oliver, Hoedt, Esthelle, Raedschelders, Koen, Pope, Matt, Huynh, Carissa A., Ramanujan, V. Krishnan, Tourtellotte, Warren, Razavi, Morteza, Anderson, N. Leigh, Martens, Geert, Deforce, Dieter, Fu, Qin, Dhaenens, Maarten, Van Eyk, Jennifer E. |
Source: |
Nature Communications; 6/15/2024, Vol. 15 Issue 1, p1-11, 11p |
Subject Terms: |
MASS spectrometry, ACUTE phase reaction, COVID-19, COVID-19 pandemic, PEPTIDES |
Abstract: |
The global scientific response to COVID 19 highlighted the urgent need for increased throughput and capacity in bioanalytical laboratories, especially for the precise quantification of proteins that pertain to health and disease. Acoustic ejection mass spectrometry (AEMS) represents a much-needed paradigm shift for ultra-fast biomarker screening. Here, a quantitative AEMS assays is presented, employing peptide immunocapture to enrich (i) 10 acute phase response (APR) protein markers from plasma, and (ii) SARS-CoV-2 NCAP peptides from nasopharyngeal swabs. The APR proteins were quantified in 267 plasma samples, in triplicate in 4.8 h, with %CV from 4.2% to 10.5%. SARS-CoV-2 peptides were quantified in triplicate from 145 viral swabs in 10 min. This assay represents a 15-fold speed improvement over LC-MS, with instrument stability demonstrated across 10,000 peptide measurements. The combination of speed from AEMS and selectivity from peptide immunocapture enables ultra-high throughput, reproducible quantitative biomarker screening in very large cohorts. There is an increasing demand for high sample throughput beyond traditional analytical techniques. Here the authors show that Ultra-high throughput assays, based on the integration of Acoustic Ejection Mass Spectrometry (AEMS) and peptide immunocapture provide precise quantification of inflammation and SARS-CoV-2 proteins with 15x sample throughput compared to LC-MS. [ABSTRACT FROM AUTHOR] |
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Database: |
Complementary Index |