ArticleMolecular & cellular proteomics : MCP2019
An Integrative Analysis of Tumor Proteomic and Phosphoproteomic Profiles to Examine the Relationships Between Kinase Activity and Phosphorylation.
Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model.Molecular oncology · 2026Article
- Proteome profiles of esophageal squamous cell carcinoma tie mitochondrial complex I to immunotherapy.EMBO molecular medicine · 2026Article
- Pathway Analysis Interpretation in the Multi-Omic Era.Biotech (Basel (Switzerland)) · 2025Review
- Hepatitis B virus-infected hepatocytes promote the secretion of collagen VI to the extracellular matrix.Scientific reports · 2025Article
- Kinase-substrate prediction using an autoregressive model.Computational and structural biotechnology journal · 2025Article
- Highly Multiplexed Tissue Imaging in Precision Oncology and Translational Cancer Research.Cancer discovery · 2024Review
- Kinase activities in pancreatic ductal adenocarcinoma with prognostic and therapeutic avenues.Molecular oncology · 2024Article
- Exosomal Proteomics: Unveiling Novel Insights into Lung Cancer.Aging and disease · 2024Review
- Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine.Annual review of pharmacology and toxicology · 2024Review
- iProPhos: A Web-Based Interactive Platform for Integrated Proteome and Phosphoproteome Analysis.Molecular & cellular proteomics : MCP · 2024Article
- Pan-Cancer landscape of protein activities identifies drivers of signalling dysregulation and patient survival.Molecular systems biology · 2023Article
- Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.Frontiers in oncology · 2023Article
- Functional characterization of co-phosphorylation networks.Bioinformatics (Oxford, England) · 2022Article
- Proteomic and phosphoproteomic measurements enhance ability to predict ex vivo drug response in AML.Clinical proteomics · 2022Article
- Putting Humpty Dumpty Back Together Again: What Does Protein Quantification Mean in Bottom-Up Proteomics?Journal of proteome research · 2022Article
- The active kinome: The modern view of how active protein kinase networks fit in biological research.Current opinion in pharmacology · 2022Review
- leapR: An R Package for Multiomic Pathway Analysis.Journal of proteome research · 2021Article
- Robust inference of kinase activity using functional networks.Nature communications · 2021Article
- [Affinity chromatography based phosphoproteome research on lung cancer cells and its application].Se pu = Chinese journal of chromatography · 2021Article
- A Review of Imputation Strategies for Isobaric Labeling-Based Shotgun Proteomics.Journal of proteome research · 2021Review
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Authors and funding
7 authors.
Funding
Abstract
Phosphorylation of proteins is a key way cells regulate function, both at the individual protein level and at the level of signaling pathways. Kinases are responsible for phosphorylation of substrates, generally on serine, threonine, or tyrosine residues. Though particular sequence patterns can be identified that dictate whether a residue will be phosphorylated by a specific kinase, these patterns are not highly predictive of phosphorylation. The availability of large scale proteomic and phosphoproteomic data sets generated using mass-spectrometry-based approaches provides an opportunity to study the important relationship between kinase activity, substrate specificity, and phosphorylation. In this study, we analyze relationships between protein abundance and phosphopeptide abundance across more than 150 tumor samples and show that phosphorylation at specific phosphosites is not well correlated with overall kinase abundance. However, individual kinases show a clear and statistically significant difference in correlation among known phosphosite targets for that kinase and randomly selected phosphosites. We further investigate relationships between phosphorylation of known activating or inhibitory sites on kinases and phosphorylation of their target phosphosites. Combined with motif-based analysis, this approach can predict novel kinase targets and show which subsets of a kinase's target repertoire are specifically active in one condition
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