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AccuCor2 Isotope Natural Abundance Correction for Dual-Isotope Tracer Experiments

preprint
submitted on 25.03.2021, 15:34 and posted on 26.03.2021, 10:09 by Yujue Wang, Lance Parsons, Xiaoyang Su
Stable isotope labeling techniques have been widely applied in the field of metabolomics and proteomics. Before the measured mass spectrum data can be used for quantitative analysis, it must be accurately corrected for isotope natural abundance and tracer isotopic impurity. Despite the increasing popularity of dual-isotope tracing strategy such as 13C-15N or 13C-2H, there is no accurate tool for correcting isotope natural abundance for such experiments. Here, we present AccuCor2 as an R-based tool to perform the correction for 13C-15N or 13C-2H labeling experiments. Our results show that the dual-isotope experiments often require a mass resolution that is high enough to resolve 13C and 15N or 13C and 2H.Otherwise the labeling pattern is not solvable. However, this mass resolution may not be sufficiently high to resolve other non-tracer elements such as oxygen or sulfur from the tracer elements. Therefore, we design AccuCor2 to perform the correction based on the actual mass resolution of the measurements. Using both simulated and experimental data, we show that AccuCor2 performs accurate and resolution dependent correction for dual-isotope tracer data.

Funding

P30CA072720-5923

History

Email Address of Submitting Author

xs137@rwjms.rutgers.edu

Institution

Rutgers University

Country

United States

ORCID For Submitting Author

0000-0001-8081-1396

Declaration of Conflict of Interest

No conflict of interest

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