Enhancing Data Reliability in TOMAHAQ for Large‐Scale Protein Quantification. Issue 11 (3rd March 2020)

• Record Type: Journal Article
• Authors: Liu, Fang; Singhal, Kratika; Matney, Rowan; Acharya, Swati; Akdis, Cezmi A.; Nadeau, Kari C.; Chien, Allis S.; Leib, Ryan D.
• Other Names: Coman Cristina guestEditor.; Ahrends Robert guestEditor.
• Is Part Of: Proteomics. Volume 20:Issue 11(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-03-03
• Subjects: data normalization -- tandem mass tags -- targeted proteomics -- triggered by offset, multiplexed, accurate mass, high resolution, and absolute quantitation; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201900105
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract: The analytical scale of most mass‐spectrometry‐based targeted proteomics assays is usually limited by assay performance and instrument utilization. A recently introduced method, called triggered by offset, multiplexed, accurate mass, high resolution, and absolute quantitation (TOMAHAQ), combines both peptide and sample multiplexing to simultaneously improve analytical scale and quantitative performance. In the present work, critical technical requirements and data analysis considerations for successful implementation of the TOMAHAQ technique based on the study of a total of 185 target peptides across over 200 clinical plasma samples are discussed. Importantly, it is observed that significant interference originate from the TMTzero reporter ion used for the synthetic trigger peptides. This interference is not expected because only TMT10plex reporter ions from the target peptides should be observed under typical TOMAHAQ conditions. In order to unlock the great promise of the technique for high throughput quantification, here a post‐acquisition data correction strategy to deconvolute the reporter ion superposition and recover reliable data is proposed.