Literature DB >> 31626996

Multiplexed proteome profiling of carbon source perturbations in two yeast species with SL-SP3-TMT.

Joao A Paulo1, Jose Navarrete-Perea2, Steven P Gygi2.   

Abstract

Saccharomyces cerevisiae and Schizosaccharomyces pombe are the most commonly studied yeast model systems, yet comparisons of global proteome remodeling between these yeast species are scarce. Here, we profile the proteomes of S. cerevisiae and S. pombe cultured with either glucose or pyruvate as the sole carbon source to define common and distinctive alterations in the protein landscape across species. In addition, we develop an updated streamlined-tandem mass tag (SL-TMT) strategy that substitutes chemical-based precipitation with more versatile bead-based protein aggregation method (SP3) prior to enzymatic digestion and TMT labeling. Our new workflow, SL-SP3-TMT, allow for near-complete proteome profiles in a single experiment for each species. The data reveal expected alterations in protein abundance and differences between species, highlighted complete canonical biochemical pathways, and provided insight into previously uncharacterized proteins. The techniques used herein, namely SL-SP3-TMT, can be applied to virtually any experiment aiming to study remodeling of the proteome using a high-throughput, comprehensive, yet streamlined mass spectrometry-based strategy. SIGNIFICANCE: Saccharomyces cerevisiae and Schizosaccharomyces pombe are single-celled eukaryotes that diverged from a common ancestor over a period of 100 million years, such that evolution has driven fundamental differences between the two species. Cellular metabolism and the regulation thereof are vital for living organisms. Here, we hypothesize that large scale proteomic alterations are prevalent upon the substitution of glucose with another carbon source, in this case pyruvate. To efficiently process our samples, we developed an updated streamlined-tandem mass tag (SL-TMT) strategy with more versatile bead-based protein aggregation. The data revealed expected alterations in protein abundance and illustrated differences between species. We highlighted complete canonical biochemical pathways and provided insight into previously uncharacterized proteins.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerevisiae; Isobaric; Pombe; Pyruvate; SPS-MS3; TMT

Mesh:

Substances:

Year:  2019        PMID: 31626996      PMCID: PMC6889822          DOI: 10.1016/j.jprot.2019.103531

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  39 in total

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Authors:  D S Heckman; D M Geiser; B R Eidell; R L Stauffer; N L Kardos; S B Hedges
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3.  A Triple Knockout Isobaric-Labeling Quality Control Platform with an Integrated Online Database Search.

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4.  Growth media selection alters the proteome profiles of three model microorganisms.

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Review 5.  Advances in quantitative high-throughput phosphoproteomics with sample multiplexing.

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6.  A Semiautomated Paramagnetic Bead-Based Platform for Isobaric Tag Sample Preparation.

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  8 in total

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