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TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies.
Basisty, Nathan; Shulman, Nicholas; Wehrfritz, Cameron; Marsh, Alexandra N; Shah, Samah; Rose, Jacob; Ebert, Scott; Miller, Matthew; Dai, Dao-Fu; Rabinovitch, Peter S; Adams, Christopher M; MacCoss, Michael J; MacLean, Brendan; Schilling, Birgit.
Affiliation
  • Basisty N; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • Shulman N; Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, Maryland 21224, United States.
  • Wehrfritz C; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Marsh AN; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • Shah S; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Rose J; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • Ebert S; Buck Institute for Research on Aging, Novato, California 94945, United States.
  • Miller M; Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Dai DF; Emmyon, Inc., Rochester, Minnesota 55902, United States.
  • Rabinovitch PS; Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Adams CM; Medical Scientist Training Program, University of Iowa, Iowa City, Iowa 52242, United States.
  • MacCoss MJ; Department of Pathology, University of Iowa, Iowa City, Iowa 52242, United States.
  • MacLean B; Department of Pathology, University of Washington, Seattle, Washington 98195, United States.
  • Schilling B; Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota 55905, United States.
J Proteome Res ; 22(2): 311-322, 2023 02 03.
Article in En | MEDLINE | ID: mdl-36165806
In spite of its central role in biology and disease, protein turnover is a largely understudied aspect of most proteomic studies due to the complexity of computational workflows that analyze in vivo turnover rates. To address this need, we developed a new computational tool, TurnoveR, to accurately calculate protein turnover rates from mass spectrometric analysis of metabolic labeling experiments in Skyline, a free and open-source proteomics software platform. TurnoveR is a straightforward graphical interface that enables seamless integration of protein turnover analysis into a traditional proteomics workflow in Skyline, allowing users to take advantage of the advanced and flexible data visualization and curation features built into the software. The computational pipeline of TurnoveR performs critical steps to determine protein turnover rates, including isotopologue demultiplexing, precursor-pool correction, statistical analysis, and generation of data reports and visualizations. This workflow is compatible with many mass spectrometric platforms and recapitulates turnover rates and differential changes in turnover rates between treatment groups calculated in previous studies. We expect that the addition of TurnoveR to the widely used Skyline proteomics software will facilitate wider utilization of protein turnover analysis in highly relevant biological models, including aging, neurodegeneration, and skeletal muscle atrophy.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Proteomics Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Proteomics Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2023 Type: Article Affiliation country: United States