Literature DB >> 33630598

Categorization of Phosphorylation Site Behavior during the Diauxic Shift in Saccharomyces cerevisiae.

Brandon M Gassaway1, Joao A Paulo1, Steven P Gygi1.   

Abstract

Protein phosphorylation has long been recognized as an essential regulator of protein activity, structure, complex formation, and subcellular localization among other cellular mechanisms. However, interpretation of the changes in protein phosphorylation is difficult. To address this difficulty, we measured protein and phosphorylation site changes across 11 points of a time course and developed a method for categorizing phosphorylation site behavior relative to protein level changes using the diauxic shift in yeast as a model and TMT11 sample multiplexing. We classified quantified proteins into behavioral categories that reflected differences in kinase activity, protein complex structure, and growth and metabolic pathway regulation across different phases of the diauxic shift. These data also provide a valuable resource for the study of fermentative versus respiratory growth and set a new benchmark for temporal quantitative proteomics and phosphoproteomics for the diauxic shift in Saccharomyces cerevisiae. Data are available via ProteomeXchange with identifier PXD022741.

Entities:  

Keywords:  SPS-MS3; diauxic shift; kinase activity; phosphoproteomics; phosphorylation; tandem mass tags

Mesh:

Substances:

Year:  2021        PMID: 33630598      PMCID: PMC8210948          DOI: 10.1021/acs.jproteome.0c00943

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  21 in total

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Authors:  Joao A Paulo; Jeremy D O'Connell; Robert A Everley; Jonathon O'Brien; Micah A Gygi; Steven P Gygi
Journal:  J Proteomics       Date:  2016-07-16       Impact factor: 4.044

2.  Streamlined Tandem Mass Tag (SL-TMT) Protocol: An Efficient Strategy for Quantitative (Phospho)proteome Profiling Using Tandem Mass Tag-Synchronous Precursor Selection-MS3.

Authors:  José Navarrete-Perea; Qing Yu; Steven P Gygi; Joao A Paulo
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4.  A Triple Knockout (TKO) Proteomics Standard for Diagnosing Ion Interference in Isobaric Labeling Experiments.

Authors:  Joao A Paulo; Jeremy D O'Connell; Steven P Gygi
Journal:  J Am Soc Mass Spectrom       Date:  2016-07-11       Impact factor: 3.109

5.  Analysis of the SWI4/SWI6 protein complex, which directs G1/S-specific transcription in Saccharomyces cerevisiae.

Authors:  J Sidorova; L Breeden
Journal:  Mol Cell Biol       Date:  1993-02       Impact factor: 4.272

6.  Comprehensive Temporal Protein Dynamics during the Diauxic Shift in Saccharomyces cerevisiae.

Authors:  J Patrick Murphy; Ekaterina Stepanova; Robert A Everley; Joao A Paulo; Steven P Gygi
Journal:  Mol Cell Proteomics       Date:  2015-06-15       Impact factor: 5.911

7.  Optimized Workflow for Multiplexed Phosphorylation Analysis of TMT-Labeled Peptides Using High-Field Asymmetric Waveform Ion Mobility Spectrometry.

Authors:  Devin K Schweppe; Scott F Rusin; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2019-12-18       Impact factor: 4.466

8.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

9.  MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes.

Authors:  Graeme C McAlister; David P Nusinow; Mark P Jedrychowski; Martin Wühr; Edward L Huttlin; Brian K Erickson; Ramin Rad; Wilhelm Haas; Steven P Gygi
Journal:  Anal Chem       Date:  2014-07-03       Impact factor: 8.008

10.  1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data.

Authors:  Juergen Cox; Matthias Mann
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

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  1 in total

1.  Rewiring of the protein-protein-metabolite interactome during the diauxic shift in yeast.

Authors:  Dennis Schlossarek; Marcin Luzarowski; Ewelina M Sokołowska; Venkatesh P Thirumalaikumar; Lisa Dengler; Lothar Willmitzer; Jennifer C Ewald; Aleksandra Skirycz
Journal:  Cell Mol Life Sci       Date:  2022-10-15       Impact factor: 9.207

  1 in total

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