ArticlePLoS computational biology2011
Integrative features of the yeast phosphoproteome and protein-protein interaction map.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 49 citations in OpenAlex.
- Importance of tyrosine phosphorylation for transmembrane signaling in plants.The Biochemical journal · 2021Review
- Computational Phosphorylation Network Reconstruction: An Update on Methods and Resources.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Pex14p Phosphorylation Modulates Import of Citrate Synthase 2 Into Peroxisomes inFrontiers in cell and developmental biology · 2020Article
- Sequential Phosphopeptide Enrichment for Phosphoproteome Analysis of Filamentous Fungi: A Test Case Using Magnaporthe oryzae.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Phosphorylation-mediated Regulatory Networks in Mycelia ofMolecular & cellular proteomics : MCP · 2017Article
- Co-occurring protein phosphorylation are functionally associated.PLoS computational biology · 2017Article
- An Asymmetrically Balanced Organization of Kinases versus Phosphatases across Eukaryotes Determines Their Distinct Impacts.PLoS computational biology · 2017Article
- Pooled-matrix protein interaction screens using Barcode Fusion Genetics.Molecular systems biology · 2016Article
- Phosphoproteome Analysis Links Protein Phosphorylation to Cellular Remodeling and Metabolic Adaptation during Magnaporthe oryzae Appressorium Development.Journal of proteome research · 2015Article
- Analysis of the Candida albicans Phosphoproteome.Eukaryotic cell · 2015Article
- The roles of post-translational modifications in the context of protein interaction networks.PLoS computational biology · 2015Article
- PTMcode v2: a resource for functional associations of post-translational modifications within and between proteins.Nucleic acids research · 2015Article
- Data-driven integration of genome-scale regulatory and metabolic network models.Frontiers in microbiology · 2015Review
- Integrating phosphoproteomics in systems biology.Computational and structural biotechnology journal · 2014Review
- Binding of Clostridium botulinum C3 exoenzyme to intact cells.Naunyn-Schmiedeberg's archives of pharmacology · 2014Article
- Meta-Analysis of Arabidopsis thaliana Phospho-Proteomics Data Reveals Compartmentalization of Phosphorylation Motifs.The Plant cell · 2014Article
- Proteomic analysis of the NOS2 interactome in human airway epithelial cells.Nitric oxide : biology and chemistry · 2013Article
- Towards systems biology of mycotoxin regulation.Toxins · 2013Review
- Towards systematic discovery of signaling networks in budding yeast filamentous growth stress response using interventional phosphorylation data.PLoS computational biology · 2013Article
- Dual coordination of post translational modifications in human protein networks.PLoS computational biology · 2013Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Following recent advances in high-throughput mass spectrometry (MS)-based proteomics, the numbers of identified phosphoproteins and their phosphosites have greatly increased in a wide variety of organisms. Although a critical role of phosphorylation is control of protein signaling, our understanding of the phosphoproteome remains limited. Here, we report unexpected, large-scale connections revealed between the phosphoproteome and protein interactome by integrative data-mining of yeast multi-omics data. First, new phosphoproteome data on yeast cells were obtained by MS-based proteomics and unified with publicly available yeast phosphoproteome data. This revealed that nearly 60% of ∼6,000 yeast genes encode phosphoproteins. We mapped these unified phosphoproteome data on a yeast protein-protein interaction (PPI) network with other yeast multi-omics datasets containing information about proteome abundance, proteome disorders, literature-derived signaling reactomes, and in vitro substratomes of kinases. In the phospho-PPI, phosphoproteins had more interacting partners than nonphosphoproteins, implying that a large fraction of intracellular protein interaction patterns (including those of protein complex formation) is affected by reversible and alternative phosphorylation reactions. Although highly abundant or unstructured proteins have a high chance of both interacting with other proteins and being phosphorylated within cells, the difference between the number counts of interacting partners of phosphoproteins and nonphosphoproteins was significant independently of protein abundance and disorder level. Moreover, analysis of the phospho-PPI and yeast signaling reactome data suggested that co-phosphorylation of interacting proteins by single kinases is common within cells. These multi-omics analyses illuminate how wide-ranging intracellular phosphorylation events and the diversity of physical protein interactions are largely affected by each other.
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