2021
DOI: 10.1007/s00216-021-03732-7
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Natural isotope correction improves analysis of protein modification dynamics

Abstract: Stable isotope labelling in combination with high-resolution mass spectrometry approaches are increasingly used to analyze both metabolite and protein modification dynamics. To enable correct estimation of the resulting dynamics, it is critical to correct the measured values for naturally occurring stable isotopes, a process commonly called isotopologue correction or deconvolution. While the importance of isotopologue correction is well recognized in metabolomics, it has received far less attention in proteomi… Show more

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Cited by 7 publications
(7 citation statements)
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“…We therefore included an isotope correction in the data analysis to ensure accurate quantification. The Python-based isotope correction pipeline PICor used a skewed matrix algorithm, which corrects each different isotopologue species with its own set of theoretical correction factors . A detailed tutorial on bioinformatics workflow and data processing can be found in the Supporting Information.…”
Section: Resultsmentioning
confidence: 99%
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“…We therefore included an isotope correction in the data analysis to ensure accurate quantification. The Python-based isotope correction pipeline PICor used a skewed matrix algorithm, which corrects each different isotopologue species with its own set of theoretical correction factors . A detailed tutorial on bioinformatics workflow and data processing can be found in the Supporting Information.…”
Section: Resultsmentioning
confidence: 99%
“…For natural isotope abundance correction, the python package PICor was used, which uses a theoretical correction approach based on statistical distributions of each isotopologue. The detailed approach is described on bioRxiv, and the source code is available under . To determine site-specific acetylation levels for the MS1 isobaric H3­(18-26) isotopologue species and single-acetylated H4­(4-17) isotopologue species, the relative abundances of site-specific acetyllysine-containing fragment ions were quantified using Pipelines and Systems for Threshold-Avoiding Quantification of LC–MS/MS data (PASTAQ) .…”
Section: Methodsmentioning
confidence: 99%
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