Quantitative proteomics is an analytical chemistry technique for determining the amount of proteins in a sample.[1][2][3][4] The methods for protein identification are identical to those used in general (i.e. qualitative) proteomics, but include quantification as an additional dimension. Rather than just providing lists of proteins identified in a certain sample, quantitative proteomics yields information about the physiological differences between two biological samples. For example, this approach can be used to compare samples from healthy and diseased patients. Quantitative proteomics is mainly performed by two-dimensional gel electrophoresis (2-DE), preparative native PAGE, or mass spectrometry (MS). However, a recent developed method of quantitative dot blot (QDB) analysis is able to measure both the absolute and relative quantity of an individual proteins in the sample in high throughput format, thus open a new direction for proteomic research. In contrast to 2-DE, which requires MS for the downstream protein identification, MS technology can identify and quantify the changes.
^Ong SE, Mann M (October 2005). "Mass spectrometry-based proteomics turns quantitative". Nature Chemical Biology. 1 (5): 252–62. doi:10.1038/nchembio736. PMID 16408053. S2CID 32054251.
^Bantscheff M, Schirle M, Sweetman G, Rick J, Kuster B (October 2007). "Quantitative mass spectrometry in proteomics: a critical review". Analytical and Bioanalytical Chemistry. 389 (4): 1017–31. doi:10.1007/s00216-007-1486-6. PMID 17668192.
^Nikolov M, Schmidt C, Urlaub H (2012). "Quantitative mass spectrometry-based proteomics: an overview". In Marcus K (ed.). Quantitative Methods in Proteomics. Methods in Molecular Biology. Vol. 893. Humana Press. pp. 85–100. doi:10.1007/978-1-61779-885-6_7. hdl:11858/00-001M-0000-000F-C327-D. ISBN 978-1-61779-884-9. PMID 22665296. S2CID 33009117.
^Rozanova, Svitlana; Barkovits, Katalin; Nikolov, Miroslav; Schmidt, Carla; Urlaub, Henning; Marcus, Katrin (2021). "Quantitative Mass Spectrometry-Based Proteomics: An Overview". In Marcus, Katrin; Eisenacher, Martin; Sitek, Barbara (eds.). Quantitative Methods in Proteomics. Methods in Molecular Biology. Vol. 2228. New York, NY: Springer US. pp. 85–116. doi:10.1007/978-1-0716-1024-4_8. ISBN 978-1-0716-1023-7. PMID 33950486.
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