Abstract
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.
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