Identification of Changing Ribosome Protein Compositions using Mass Spectrometry

被引:33
作者
Samir, Parimal [1 ,2 ]
Browne, Christopher M. [1 ,2 ]
Rahul [3 ]
Sun, Ming [4 ]
Shen, Bingxin [4 ,5 ]
Li, Wen [4 ]
Frank, Joachim [4 ,5 ]
Link, Andrew J. [1 ,2 ,6 ]
机构
[1] Vanderbilt Univ, Dept Biochem, Nashville, TN 37235 USA
[2] Vanderbilt Univ, Sch Med, Dept Pathol Microbiol & Immunol, Nashville, TN 37235 USA
[3] Univ Waterloo, Waterloo, ON, Canada
[4] Columbia Univ, Dept Biol Sci, New York, NY 10027 USA
[5] Columbia Univ, Dept Biochem & Mol Biophys, New York, NY 10032 USA
[6] Vanderbilt Univ, Dept Chem, Nashville, TN 37235 USA
关键词
carbon source switch; ribosome filter; ribosome heterogeneity; RPL8A; B; SACCHAROMYCES-CEREVISIAE GENOME; TRANSLATIONAL CONTROL; DICTYOSTELIUM-DISCOIDEUM; EUKARYOTIC TRANSLATION; CYTOSOLIC RIBOSOMES; INITIATION-FACTOR; GENE-EXPRESSION; YEAST; PROTEOMICS; SPECIFICITY;
D O I
10.1002/pmic.201800217
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The regulatory role of the ribosome in gene expression has come into sharper focus. It has been proposed that ribosomes are dynamic complexes capable of changing their protein composition in response to environmental stimuli. MS is applied to identify quantitative changes in the protein composition of S. cerevisiae 80S ribosomes in response to different environmental stimuli. Using quantitative MS, it is found that the paralog yeast ribosomal proteins RPL8A (eL8A) and RPL8B (eL8B) change their relative proportions in the 80S ribosome when yeast is switched from growth in glucose to glycerol. By using yeast genetics and polysome profiling, it is shown that yeast ribosomes containing either RPL8A or RPL8B are not functionally interchangeable. The quantitative proteomic data support the hypothesis that ribosomes are dynamic complexes that alter their composition and functional activity in response to changes in growth or environmental conditions.
引用
收藏
页数:9
相关论文
共 50 条
[31]   Clinical protein mass spectrometry [J].
Scherl, Alexander .
METHODS, 2015, 81 :3-14
[32]   Mapping protein abundance patterns in the brain using voxelation combined with liquid chromatography and mass spectrometry [J].
Petyuk, Vladislav A. ;
Qian, Wei-Jun ;
Smith, Richard D. ;
Smith, Desmond J. .
METHODS, 2010, 50 (02) :77-84
[33]   Protein prenylation in an insect cell-free protein synthesis system and identification of products by mass spectrometry [J].
Suzuki, Takashi ;
Ito, Masaaki ;
Ezure, Toru ;
Shikata, Masamitsu ;
Ando, Eiji ;
Utsumi, Toshihiko ;
Tsunasawa, Susumu ;
Nishimura, Osamu .
PROTEOMICS, 2007, 7 (12) :1942-1950
[34]   Protein Probability Model for High-Throughput Protein Identification by Mass Spectrometry-Based Proteomics [J].
Prieto, Gorka ;
Vazquez, Jesus .
JOURNAL OF PROTEOME RESEARCH, 2020, 19 (03) :1285-1297
[35]   Identification of modified proteins by mass spectrometry [J].
Sickmann, A ;
Mreyen, M ;
Meyer, HE .
IUBMB LIFE, 2002, 54 (02) :51-57
[36]   Identification and analysis of ribosome-associated lncRNAs using ribosome profiling data [J].
Zeng, Chao ;
Fukunaga, Tsukasa ;
Hamada, Michiaki .
BMC GENOMICS, 2018, 19
[37]   Protein identification assisted by the prediction of retention time in liquid chromatography/tandem mass spectrometry [J].
Wang, Y ;
Zhang, J ;
Gu, X ;
Zhang, XM .
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2005, 826 (1-2) :122-128
[38]   Mining gene functional networks to improve mass-spectrometry-based protein identification [J].
Ramakrishnan, Smriti R. ;
Vogel, Christine ;
Kwon, Taejoon ;
Penalva, Luiz O. ;
Marcotte, Edward M. ;
Miranker, Daniel P. .
BIOINFORMATICS, 2009, 25 (22) :2955-2961
[39]   Identification of N-terminal protein processing sites by chemical labeling mass spectrometry [J].
Misal, Santosh A. ;
Li, Sujun ;
Tang, Haixu ;
Radivojac, Predrag ;
Reilly, James P. .
RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 2019, 33 (11) :1015-1023
[40]   Facilitating identification of minimal protein binding domains by cross-linking mass spectrometry [J].
Liu, Qingyang ;
Remmelzwaal, Sanne ;
Heck, Albert J. R. ;
Akhmanova, Anna ;
Liu, Fan .
SCIENTIFIC REPORTS, 2017, 7