PreprintCited by 52Advanced Proteomics Techniques and ApplicationsFungal and yeast genetics researchBioinformatics and Genomic Networks

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The regulatory landscape of the yeast phosphoproteome

Open access
Leutert, Mario, Barente, Anthony S., Fukuda, Noelle K., Rodriguez-Mias, Ricard A., Villén, Judit·2022·Nature Structural & Molecular Biology

Preprint — published as 10.1038/s41594-023-01115-3 · Paper page

Abstract

Summary: The cellular ability to react to environmental fluctuations depends on signaling networks that are controlled by the dynamic activities of kinases and phosphatases. To gain insight into these stress-responsive phosphorylation networks, we generated a quantitative mass spectrometry-based atlas of early phosphoproteomic responses in Saccharomyces cerevisiae exposed to 101 environmental and chemical perturbations. We report phosphosites on 59% of the yeast proteome, with 18% of the proteome harboring a phosphosite that is regulated within 5 minutes of stress exposure. We identify shared and perturbation-specific stress response programs, uncover dephosphorylation as an integral early event, and dissect the interconnected regulatory landscape of kinase-substrate networks, as we exemplify with TOR signaling. We further reveal functional organization principles of the stress-responsive phosphoproteome based on phosphorylation site motifs, kinase activities, subcellular localizations, shared functions, and pathway intersections. This information-rich map of 25,000 regulated phosphosites advances our understanding of signaling networks. Highlights: Ultra-deep reference yeast phosphoproteome covers 36,000 phosphorylation sites and reveals general principles of eukaryotic protein phosphorylation. High-dimensional quantitative atlas of early phosphoproteomic responses of yeast across 101 environmental and chemical perturbations identifies 25,000 regulated perturbation-phosphosite pairs. Identification of shared and perturbation-specific stress response phosphorylation programs reveals the importance of dephosphorylation as an early stress response. Dissection of the TOR signaling network uncovers subnetworks with differential stress responsiveness and points of pathway cross-talk Identification of functional organization of the phosphoproteome by dimensionality reduction and co-regulation analysis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2022.10.23.513432

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 82

  1. 10.1534/genetics.111.127803 · DOI
  2. 2019, Ser/Thr protein phosphatases in fungi: structure, regulation and function, Microb. Cell Fact., 6, 217, 10.15698/mic2019.05.677 · DOI
  3. 10.1038/nrmicro1578 · DOI
  4. 2016, Systematic Functional Annotation and Visualization of Biological Networks, Cell Syst, 2, 412, 10.1016/j.cels.2016.04.014 · DOI · Paper page
  5. 10.1038/nbt1240 · DOI · Paper page
  6. 10.1126/scisignal.2001182 · DOI
  7. 10.1091/mbc.E07-08-0779 · DOI · Paper page
  8. 10.1186/1471-2105-7-47 · DOI
  9. 10.1101/gr.3672305 · DOI · Paper page
  10. 10.1038/s41586-019-0969-x · DOI · Paper page
  11. 10.1091/mbc.12.2.323 · DOI
  12. Costanzo, M. , Hou, J. , Messier, V. , Nelson, J. , Rahman, M. , VanderSluis, B. , Wang, W. , Pons, C. , Ross, C. , Ušaj, M. , et al. (2021). Environmental robustness of the global yeast genetic interaction network. Science 372. https://doi.org/10.1126/science.abf8424. · DOI
  13. 10.1038/sj.emboj.7600871 · DOI
  14. 2021, Phosphoproteomic responses of TORC1 target kinases reveal discrete and convergent mechanisms that orchestrate the quiescence program in yeast, Cell Rep., 37, 110149, 10.1016/j.celrep.2021.110149 · DOI
  15. 10.1038/s41467-020-15351-4 · DOI
  16. 10.1002/pmic.201200439 · DOI · Paper page
  17. 10.1091/mbc.11.12.4241 · DOI · Paper page
  18. Ghosh, C. , Sathe, L. , Paprocki, J.D. , Raicu, V. , and Dey, M. (2018). Adaptation to Endoplasmic Reticulum Stress Requires Transphosphorylation within the Activation Loop of Protein Kinases Kin1 and Kin2, Orthologs of Human Microtubule Affinity-Regulating Kinase. Mol. Cell. Biol. 38. https://doi.org/10.1128/MCB.00266-18. · DOI
  19. 10.1016/j.molcel.2009.11.018 · DOI · Paper page
  20. 10.1016/j.molcel.2014.05.012 · DOI · Paper page
  21. 10.15252/embj.201696010 · DOI
  22. 10.1007/s00216-017-0407-6 · DOI
  23. 10.1074/mcp.M400219-MCP200 · DOI
  24. 10.15252/msb.20156451 · DOI
  25. 2019, Genetic screen of the yeast environmental stress response dynamics uncovers distinct regulatory phases, Mol. Syst. Biol., 15, e8939, 10.15252/msb.20198939 · DOI
  26. 10.1126/science.1150021 · DOI
  27. Hohmann, S. , and Mager, W.H. (2007). Yeast Stress Responses (Springer Science & Business Media).
  28. 10.1126/science.1172867 · DOI
  29. 10.1016/j.celrep.2019.08.069 · DOI
  30. Huang, J. , Wu, Z. , and Zhang, X. (2020). Short-Term Mild Temperature-Stress-Induced Alterations in the C. elegans Phosphoproteome. Int. J. Mol. Sci. 21. https://doi.org/10.3390/ijms21176409. · DOI
  31. 10.1038/nmeth1113 · DOI · Paper page
  32. 10.1016/j.celrep.2015.01.052 · DOI
  33. 10.15252/msb.20156170 · DOI
  34. 10.1186/1471-2105-9-559 · DOI · Paper page
  35. 10.15252/embr.202051121 · DOI
  36. 10.1038/nmeth.3811 · DOI
  37. 10.1091/mbc.E18-03-0185 · DOI
  38. Leutert, M. , Rodríguez-Mias, R.A. , Fukuda, N.K. , and Villén, J. (2019). R2-P2 rapid-robotic phosphoproteomics enables multidimensional cell signaling studies. Mol. Syst. Biol. 15. https://doi.org/10.15252/msb.20199021. · DOI
  39. 2019, Investigation of Proteomic and Phosphoproteomic Responses to Signaling Network Perturbations Reveals Functional Pathway Organizations in Yeast, Cell Rep., 29, 2092, 10.1016/j.celrep.2019.10.034 · DOI
  40. 2018, Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response, PLoS Comput. Biol., 13, e1006088, 10.1371/journal.pcbi.1006088 · DOI
  41. McInnes, L. , Healy, J. , and Melville, J. (2018). UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. · DOI · Paper page
  42. 10.1126/scisignal.2000482 · DOI
  43. 2019, Phosphoproteomics of Acute Cell Stressors Targeting Exercise Signaling Networks Reveal Drug Interactions Regulating Protein Secretion, Cell Rep., 29, 1524, 10.1016/j.celrep.2019.10.001 · DOI
  44. 10.1101/gr.176601 · DOI · Paper page
  45. Ochoa, D. , Jarnuczak, A.F. , Viéitez, C. , Gehre, M. , Soucheray, M. , Mateus, A. , Kleefeldt, A.A. , Hill, A. , Garcia-Alonso, L. , Stein, F. , et al. (2019). The functional landscape of the human phosphoproteome. Nat. Biotechnol. https://doi.org/10.1038/s41587-019-0344-3. · DOI
  46. Oliveira, A.P. , Ludwig, C. , Picotti, P. , Kogadeeva, M. , Aebersold, R. , and Sauer, U. (2012). Regulation of yeast central metabolism by enzyme phosphorylation. Mol. Syst. Biol. 8. https://doi.org/10.1038/msb.2012.55. · DOI
  47. 10.1126/scisignal.2005768 · DOI
  48. 10.1186/gb-2012-13-9-r80 · DOI
  49. 10.1091/mbc.E15-07-0499 · DOI
  50. Pentony, M.M. , Ward, J. , and Jones, D.T. (2010). Computational Resources for the Prediction and Analysis of Native Disorder in Proteins. In Proteome Bioinformatics, S.J. Hubbard , and A.R. Jones , eds. (Totowa, NJ: Humana Press), pp. 369–393. · DOI
  51. 2022, The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences, Nucleic Acids Res., 50, D543, 10.1093/nar/gkab1038 · DOI · Paper page
  52. 10.1074/mcp.P119.001913 · DOI
  53. 10.1074/mcp.RA120.001955 · DOI
  54. 10.1038/nmeth.4402 · DOI · Paper page
  55. 10.1128/MCB.00834-12 · DOI
  56. 2014, Characterization of early autophagy signaling by quantitative phosphoproteomics, Autophagy, 10, 356, 10.4161/auto.26864 · DOI
  57. Romanov, N. , Hollenstein, D.M. , Janschitz, M. , Ammerer, G. , Anrather, D. , and Reiter, W. (2017). Identifying protein kinase-specific effectors of the osmostress response in yeast. Sci. Signal. 10. https://doi.org/10.1126/scisignal.aag2435. · DOI
  58. 10.1128/EC.00026-07 · DOI
  59. 10.1074/mcp.M000116-MCP201 · DOI
  60. 10.1126/scisignal.2005602 · DOI
  61. 2019, Thesaurus: quantifying phosphopeptide positional isomers, Nat. Methods, 16, 703, 10.1038/s41592-019-0498-4 · DOI
  62. Searle, B.C. , Pino, L.K. , Egertson, J.D. , Ting, Y.S. , Lawrence, R.T. , MacLean, B.X. , Villén, J. , and MacCoss, M.J. (2018). Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry. Nat. Commun. 9. https://doi.org/10.1038/s41467-018-07454-w. · DOI
  63. 10.1091/mbc.E14-03-0851 · DOI
  64. 10.1073/pnas.0701622104 · DOI · Paper page
  65. 10.1038/nmeth.3101 · DOI
  66. 10.1093/database/bap026 · DOI
  67. 10.1126/science.aaf2144 · DOI
  68. 10.1038/nbt.2859 · DOI · Paper page
  69. 10.1021/bi00367a049 · DOI
  70. 10.1534/g3.117.040220 · DOI
  71. 10.15252/msb.20145112 · DOI
  72. 10.1038/s41598-020-72391-y · DOI
  73. 2022, High-throughput functional characterization of protein phosphorylation sites in yeast, Nat. Biotechnol., 40, 382, 10.1038/s41587-021-01051-x · DOI
  74. 10.1038/nprot.2008.150 · DOI
  75. 10.1073/pnas.0609836104 · DOI · Paper page
  76. 10.1016/j.cell.2010.11.021 · DOI · Paper page
  77. Wagih, O. , Galardini, M. , Busby, B.P. , Memon, D. , Typas, A. , and Beltrao, P. (2018). A resource of variant effect predictions of single nucleotide variants in model organisms. Mol. Syst. Biol. 14. https://doi.org/10.15252/msb.20188430. · DOI
  78. 2019, Quantitative Variations with pH of Actin Depolymerizing Factor/Cofilin’s Multiple Actions on Actin Filaments, Biochemistry, 58, 40, 10.1021/acs.biochem.8b01001 · DOI
  79. 10.1038/nmeth.1636 · DOI
  80. 2022, Cell cycle-specific phase separation regulated by protein charge blockiness, Nat. Cell Biol., 24, 625, 10.1038/s41556-022-00903-1 · DOI
  81. 10.2202/1544-6115.1128 · DOI · Paper page
  82. 10.1016/j.celrep.2013.10.024 · DOI

Metadata

Authors
Leutert, M., Barente, A. S., Fukuda, N. K., Rodriguez-Mias, R. A., & Villén, J.
Affiliations
University of Washington (US)
Corresponding author
  • Leutert, Mario
  • Villén, Judit
Venue
Nature Structural & Molecular Biology
Publisher
openRxiv
Published
2022-10-24
Volume
30
Issue
11
Pages
1761-1773
ISSN
1545-9985 (ISSN-L)
OpenAlex
W4387666880
Cited by
52
References
1
Citations by year
2026: 18 · 2025: 12 · 2024: 13 · 2023: 9
FWCI
4.79
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Nature Structural & Molecular Biology (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Science Foundation
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (211122, 181503, 194379)
  • National Institutes of Health
  • National Institute on Aging (R01AG056359)
  • National Institute of General Medical Sciences (R35GM119536)
  • U.S. National Library of Medicine (T32LM012419)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
phosphoproteome, Saccharomyces cerevisiae, stress response, phosphorylation, environmental disturbance, signaling networks
MeSH terms
Phosphoproteins, Phosphorylation, Saccharomyces cerevisiae, Signal Transduction, Proteome, Saccharomyces cerevisiae Proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review