2023
DOI: 10.1002/pmic.202300090
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On the excessive use of coefficient of variation as a metric of quantitation quality in proteomics

Abstract: The coefficient of variation (CV) is often used in proteomics as a proxy to characterize the performance of a quantitation method and/or the related software. In this note, we question the excessive reliance on this metric in quantitative proteomics that may result in erroneous conclusions. We support this note using a ground‐truth Human‐Yeast‐E. coli dataset demonstrating in a number of cases that erroneous data processing methods may lead to a low CV which has nothing to do with these methods’ performances i… Show more

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Cited by 4 publications
(8 citation statements)
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“…At the same time, we believe that the popular reporting purely the number of “identified and quantified” proteins, as well as the coefficients of variation provide no warranty for better quantitation results in comparable methods, or tell much about the perspectives of obtaining biologically important information about regulated proteins and/or cellular processes. 3,6…”
Section: Resultsmentioning
confidence: 99%
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“…At the same time, we believe that the popular reporting purely the number of “identified and quantified” proteins, as well as the coefficients of variation provide no warranty for better quantitation results in comparable methods, or tell much about the perspectives of obtaining biologically important information about regulated proteins and/or cellular processes. 3,6…”
Section: Resultsmentioning
confidence: 99%
“…At the same time, we believe that the popular reporting purely the number of "identified and quantified" proteins, as well as the coefficients of variation provide no warranty for better quantitation results in comparable methods, or tell much about the perspectives of obtaining biologically important information about regulated proteins and/or cellular processes. 3,6 Figure 1. Overview of datasets and results obtained using different proteomic analysis methods.The number of differentially expressed proteins for DIA results and all numbers for DirectMS1 reanalysis were obtained in this study.…”
Section: Resultsmentioning
confidence: 99%
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“…Finally, there are many cases which could lead to incorrect estimation of the labelfree quantitation (LFQ) values even for the true peptide/protein identifications. 6 The recently introduced Orbitrap Astral provides parallelized acquisition of MS1 and MS/MS spectra at the MS/MS scanning rate of ∼200 Hz and an isolation window down to 2 Th in DIA implementation, which positions this instrument as a method of choice in quantitative proteomics. 7 However, the MS/MS-based quantitation, typically employed in DIA, has limitations, especially in ultrashort LC gradient implementations and may miss or underscore the important biological insights of the samples under study due to extremely high MS/MS signal interferences.…”
Section: ■ Introductionmentioning
confidence: 99%