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MS1-Level Proteome Quantification Platform Allowing Maximally Increased Multiplexity for SILAC and In Vitro Chemical Labeling

Cited 2 time in Web of Science Cited 1 time in Scopus

Choi, Yeon; Jeong, Kyowon; Shin, Sanghee; Lee, Joon Won; Lee, Young-Suk; Kim, Sangtae; Kim, Sun Ah; Jung, Jaehun; Kim, Kwang Pyo; Kim, V. NarryKim, Jong-Seo

Issue Date
American Chemical Society
Analytical Chemistry, Vol.92 No.7, pp.4980-4989
Quantitative proteomic platforms based on precursor intensity in mass spectrometry (MS1-level) uniquely support in vivo metabolic labeling with superior quantification accuracy but suffer from limited multiplexity (<= 3-plex) and frequent missing quantities. Here we present a new MS1-level quantification platform that allows maximal multiplexing with high quantification accuracy and precision for the given labeling scheme. The platform currently comprises 6-plex in vivo SILAC or in vitro diethylation labeling with a dedicated algorithm and is also expandable to higher multiplexity (e.g., nine-plex for SILAC). For complex samples with broad dynamic ranges such as total cell lysates, our platform performs highly accurately and free of missing quantities. Furthermore, we successfully applied our method to measure protein synthesis rate under heat shock response in human cells by 6-plex pulsed SILAC experiments, demonstrating the unique biological merits of our in vivo platform to disclose translational regulations for cellular response to stress.
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  • College of Natural Sciences
  • School of Biological Sciences
Research Area Molecular Biology & Genetics


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