UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

HOTMAQ: A Multiplexed Absolute Quantification Method for Targeted Proteomics

Zhong, X; Yu, Q; Ma, F; Frost, DC; Lu, L; Chen, Z; Zetterberg, H; ... Li, L; + view all (2019) HOTMAQ: A Multiplexed Absolute Quantification Method for Targeted Proteomics. Analytical Chemistry , 91 (3) pp. 2112-2119. 10.1021/acs.analchem.8b04580. Green open access

[thumbnail of Zhong_HOTMAQ.pdf]
Preview
Text
Zhong_HOTMAQ.pdf - Accepted Version

Download (768kB) | Preview

Abstract

Absolute quantification in targeted proteomics is challenging due to a variety of factors, including low specificity in complex backgrounds, limited analytical throughput, and wide dynamic range. To address these problems, we developed a hybrid offset-triggered multiplex absolute quantification (HOTMAQ) strategy that combines cost-effective mass difference and isobaric tags to enable simultaneous construction of an internal standard curve in the MS1 precursor scan, real-time identification of peptides at the MS2 level, and mass offset-triggered accurate quantification of target proteins in synchronous precursor selection (SPS)-MS3 spectra. This approach increases the analytical throughput of targeted quantitative proteomics by up to 12-fold. The HOTMAQ strategy was employed to verify candidate protein biomarkers in preclinical Alzheimer's disease with high accuracy. The greatly enhanced throughput and quantitative performance, paired with sample flexibility, makes HOTMAQ broadly applicable to targeted peptidomics, proteomics, and phosphoproteomics.

Type: Article
Title: HOTMAQ: A Multiplexed Absolute Quantification Method for Targeted Proteomics
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1021/acs.analchem.8b04580
Publisher version: https://doi.org/10.1021/acs.analchem.8b04580
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10067429
Downloads since deposit
9,044Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item