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Integrated top-down and bottom-up proteomics mass spectrometry for the characterization of endogenous ribosomal protein heterogeneity.
Zhang, Ying; Cai, Qinghua; Luo, Yuxiang; Zhang, Yu; Li, Huilin.
  • Zhang Y; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
  • Cai Q; Henan Engineering Laboratory for Mammary Bioreactor, School of Life Sciences, Henan University, Kaifeng, Henan, 475004, China.
  • Luo Y; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
  • Zhang Y; The Shennong Laboratory, Zhengzhou, 450002, China.
  • Li H; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
J Pharm Anal ; 13(1): 63-72, 2023 Jan.
Article en En | MEDLINE | ID: mdl-36820077
Ribosomes are abundant, large RNA-protein complexes that are the sites of all protein synthesis in cells. Defects in ribosomal proteins (RPs), including proteoforms arising from genetic variations, alternative splicing of RNA transcripts, post-translational modifications and alterations of protein expression level, have been linked to a diverse range of diseases, including cancer and aging. Comprehensive characterization of ribosomal proteoforms is challenging but important for the discovery of potential disease biomarkers or protein targets. In the present work, using E. coli 70S RPs as an example, we first developed a top-down proteomics approach on a Waters Synapt G2 Si mass spectrometry (MS) system, and then applied it to the HeLa 80S ribosome. The results were complemented by a bottom-up approach. In total, 50 out of 55 RPs were identified using the top-down approach. Among these, more than 30 RPs were found to have their N-terminal methionine removed. Additional modifications such as methylation, acetylation, and hydroxylation were also observed, and the modification sites were identified by bottom-up MS. In a HeLa 80S ribosomal sample, we identified 98 ribosomal proteoforms, among which multiple truncated 80S ribosomal proteoforms were observed, the type of information which is often overlooked by bottom-up experiments. Although their relevance to diseases is not yet known, the integration of top-down and bottom-up proteomics approaches paves the way for the discovery of proteoform-specific disease biomarkers or targets.
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