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The Art of Validating Quantitative Proteomics Data
Author(s) -
Handler David C.,
Pascovici Dana,
Mirzaei Mehdi,
Gupta Vivek,
Salekdeh Ghasem Hosseini,
Haynes Paul A.
Publication year - 2018
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201800222
Subject(s) - proteomics , blot , quantitative proteomics , data science , computer science , data quality , data validation , computational biology , engineering , biology , database , metric (unit) , biochemistry , operations management , gene
Western blotting as an orthogonal validation tool for quantitative proteomics data has rapidly become a de facto requirement for publication. In this viewpoint article, the pros and cons of western blotting as a validation approach are discussed, using examples from our own published work, and how to best apply it to improve the quality of data published is outlined. Further, suggestions and guidelines for some other experimental approaches are provided, which can be used for validation of quantitative proteomics data in addition to, or in place of, western blotting.