Literature DB >> 27765818

Time-resolved Analysis of Proteome Dynamics by Tandem Mass Tags and Stable Isotope Labeling in Cell Culture (TMT-SILAC) Hyperplexing.

Kevin A Welle1, Tian Zhang2, Jennifer R Hryhorenko1, Shichen Shen3, Jun Qu3, Sina Ghaemmaghami4,2.   

Abstract

Recent advances in mass spectrometry have enabled system-wide analyses of protein turnover. By globally quantifying the kinetics of protein clearance and synthesis, these methodologies can provide important insights into the regulation of the proteome under varying cellular and environmental conditions. To facilitate such analyses, we have employed a methodology that combines metabolic isotopic labeling (Stable Isotope Labeling in Cell Culture - SILAC) with isobaric tagging (Tandem Mass Tags - TMT) for analysis of multiplexed samples. The fractional labeling of multiple time-points can be measured in a single mass spectrometry run, providing temporally resolved measurements of protein turnover kinetics. To demonstrate the feasibility of the approach, we simultaneously measured the kinetics of protein clearance and accumulation for more than 3000 proteins in dividing and quiescent human fibroblasts and verified the accuracy of the measurements by comparison to established non-multiplexed approaches. The results indicate that upon reaching quiescence, fibroblasts compensate for lack of cellular growth by globally downregulating protein synthesis and upregulating protein degradation. The described methodology significantly reduces the cost and complexity of temporally-resolved dynamic proteomic experiments and improves the precision of proteome-wide turnover data.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27765818      PMCID: PMC5141271          DOI: 10.1074/mcp.M116.063230

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  50 in total

1.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

Review 2.  Autophagy: from phenomenology to molecular understanding in less than a decade.

Authors:  Daniel J Klionsky
Journal:  Nat Rev Mol Cell Biol       Date:  2007-11       Impact factor: 94.444

Review 3.  Proteome dynamics: revisiting turnover with a global perspective.

Authors:  Amy J Claydon; Robert Beynon
Journal:  Mol Cell Proteomics       Date:  2012-11-02       Impact factor: 5.911

4.  Quantitative mass spectrometry in proteomics.

Authors:  Marcus Bantscheff; Bernhard Kuster
Journal:  Anal Bioanal Chem       Date:  2012-09       Impact factor: 4.142

5.  Increasing throughput in targeted proteomics assays: 54-plex quantitation in a single mass spectrometry run.

Authors:  Robert A Everley; Ryan C Kunz; Fiona E McAllister; Steven P Gygi
Journal:  Anal Chem       Date:  2013-05-23       Impact factor: 6.986

6.  Systems-wide proteomic analysis in mammalian cells reveals conserved, functional protein turnover.

Authors:  Sidney B Cambridge; Florian Gnad; Chuong Nguyen; Justo Lorenzo Bermejo; Marcus Krüger; Matthias Mann
Journal:  J Proteome Res       Date:  2011-11-03       Impact factor: 4.466

7.  A stationary-phase gene in Saccharomyces cerevisiae is a member of a novel, highly conserved gene family.

Authors:  E L Braun; E K Fuge; P A Padilla; M Werner-Washburne
Journal:  J Bacteriol       Date:  1996-12       Impact factor: 3.490

8.  Regulation of protein degradation in normal and transformed human cells. Effects of growth state, medium composition, and viral transformation.

Authors:  M O Bradley
Journal:  J Biol Chem       Date:  1977-08-10       Impact factor: 5.157

9.  mRNA translation in yeast during entry into stationary phase.

Authors:  L M Dickson; A J Brown
Journal:  Mol Gen Genet       Date:  1998-08

10.  Gas-phase purification enables accurate, multiplexed proteome quantification with isobaric tagging.

Authors:  Craig D Wenger; M Violet Lee; Alexander S Hebert; Graeme C McAlister; Douglas H Phanstiel; Michael S Westphall; Joshua J Coon
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

View more
  21 in total

1.  Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics.

Authors:  Jana Zecha; Chen Meng; Daniel Paul Zolg; Patroklos Samaras; Mathias Wilhelm; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2018-02-02       Impact factor: 5.911

Review 2.  Sample Multiplexing Strategies in Quantitative Proteomics.

Authors:  Albert B Arul; Renã A S Robinson
Journal:  Anal Chem       Date:  2018-12-18       Impact factor: 6.986

3.  Integrated Analysis of Transcriptomic, miRNA and Proteomic Changes of a Novel Hybrid Yellow Catfish Uncovers Key Roles for miRNAs in Heterosis.

Authors:  Guosong Zhang; Jie Li; Jiajia Zhang; Xia Liang; Xinyu Zhang; Tao Wang; Shaowu Yin
Journal:  Mol Cell Proteomics       Date:  2019-05-15       Impact factor: 5.911

4.  Tandem Fluorescent Protein Timers for Noninvasive Relative Protein Lifetime Measurement in Plants.

Authors:  Hongtao Zhang; Eric Linster; Lucy Gannon; Wiebke Leemhuis; Chelsea A Rundle; Frederica L Theodoulou; Markus Wirtz
Journal:  Plant Physiol       Date:  2019-03-14       Impact factor: 8.340

5.  Studying Autophagy Using a TMT-Based Quantitative Proteomics Approach.

Authors:  Kiran Bala Sharma; Suruchi Aggarwal; Amit Kumar Yadav; Sudhanshu Vrati; Manjula Kalia
Journal:  Methods Mol Biol       Date:  2022

6.  Allosteric HSP70 inhibitors perturb mitochondrial proteostasis and overcome proteasome inhibitor resistance in multiple myeloma.

Authors:  Ian D Ferguson; Yu-Hsiu T Lin; Christine Lam; Hao Shao; Kevin M Tharp; Martina Hale; Corynn Kasap; Margarette C Mariano; Audrey Kishishita; Bonell Patiño Escobar; Kamal Mandal; Veronica Steri; Donghui Wang; Paul Phojanakong; Sami T Tuomivaara; Byron Hann; Christoph Driessen; Brian Van Ness; Jason E Gestwicki; Arun P Wiita
Journal:  Cell Chem Biol       Date:  2022-07-18       Impact factor: 9.039

7.  Quantitative Proteomic Profiling Reveals Key Pathways in the Anticancer Action of Methoxychalcone Derivatives in Triple Negative Breast Cancer.

Authors:  Catherine C Going; Dhanir Tailor; Vineet Kumar; Alisha M Birk; Mallesh Pandrala; Meghan A Rice; Tanya Stoyanova; Sanjay Malhotra; Sharon J Pitteri
Journal:  J Proteome Res       Date:  2018-09-20       Impact factor: 4.466

8.  Global and Site-Specific Effect of Phosphorylation on Protein Turnover.

Authors:  Chongde Wu; Qian Ba; Dayun Lu; Wenxue Li; Barbora Salovska; Pingfu Hou; Torsten Mueller; George Rosenberger; Erli Gao; Yi Di; Hu Zhou; Eugenio F Fornasiero; Yansheng Liu
Journal:  Dev Cell       Date:  2020-11-24       Impact factor: 12.270

9.  The San Diego Nathan Shock Center: tackling the heterogeneity of aging.

Authors:  Gerald S Shadel; Peter D Adams; W Travis Berggren; Jolene K Diedrich; Kenneth E Diffenderfer; Fred H Gage; Nasun Hah; Malene Hansen; Martin W Hetzer; Anthony J A Molina; Uri Manor; Kurt Marek; David D O'Keefe; Antonio F M Pinto; Alessandra Sacco; Tatyana O Sharpee; Maxim N Shokriev; Stefania Zambetti
Journal:  Geroscience       Date:  2021-08-09       Impact factor: 7.713

Review 10.  Mass Spectrometry Imaging of Fibroblasts: Promise and Challenge.

Authors:  Peggi M Angel; Denys Rujchanarong; Sarah Pippin; Laura Spruill; Richard Drake
Journal:  Expert Rev Proteomics       Date:  2021-07-24       Impact factor: 4.250

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.