LFQ-Based Peptide and Protein Intensity Differential Expression Analysis

Testing for significant differences in quantities at the protein level is a common goal of many LFQ-based mass spectrometry proteomics experiments. Starting from a table of protein and/or peptide quantities from a given proteomics quantification software, many tools and R packages exist to perform t...

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Vydáno v:	Journal of proteome research Ročník 22; číslo 6; s. 2114
Hlavní autoři:	Bai, Mingze, Deng, Jingwen, Dai, Chengxin, Pfeuffer, Julianus, Sachsenberg, Timo, Perez-Riverol, Yasset
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 02.06.2023
Témata:	Mass Spectrometry - methods Peptides - analysis Proteins - analysis Proteomics - methods Software protein fold changes imputation and normalization algorithms data analysis mass spectrometry proteomics protein expression
ISSN:	1535-3907, 1535-3907
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Shrnutí:	Testing for significant differences in quantities at the protein level is a common goal of many LFQ-based mass spectrometry proteomics experiments. Starting from a table of protein and/or peptide quantities from a given proteomics quantification software, many tools and R packages exist to perform the final tasks of imputation, summarization, normalization, and statistical testing. To evaluate the effects of packages and settings in their substeps on the final list of significant proteins, we studied several packages on three public data sets with known expected protein fold changes. We found that the results between packages and even across different parameters of the same package can vary significantly. In addition to usability aspects and feature/compatibility lists of different packages, this paper highlights sensitivity and specificity trade-offs that come with specific packages and settings.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1535-3907 1535-3907
DOI:	10.1021/acs.jproteome.2c00812