ArticleMolecular systems biology2019
R2-P2 rapid-robotic phosphoproteomics enables multidimensional cell signaling studies.
Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
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Who cites it
112 citing papers in PubMed, 200 citations in OpenAlex.
- Article
- Article
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- Scalable phosphotyrosine enrichment with SH2 superbinder enables deep profiling of EGF responses.The EMBO journal · 2026Article
- Comparison of In-Gel and SP3 Based Sample Preparation Protocols for LC-MS/MS Based Proteomics.Proteomics · 2026Article
- Recent advancements in sample pretreatment methods for glycoproteomics.Biophysics reports · 2026Article
- Phosphoproteomics distinguishes disease-specific mechanisms for human phospholamban cardiomyopathy reversible by RNA therapy.Signal transduction and targeted therapy · 2026Article
- Light-controlled disruption of cancer cell dormancy via photoswitchable stress hormone receptor degraders.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
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- Application of Proteomic Workflows for the Identification of Biomarkers for the Retrospective Verification of Sulfur Mustard Intoxication.Analytical chemistry · 2026Article
- A Labrador PeptideAtlas and DIA spectral assay library - resources for proteomics research in dogs.Scientific data · 2026Article
- Carafe2 enables high qualitybioRxiv : the preprint server for biology · 2026Article
- Benchmarking EGF signaling pathway inference using phosphoproteomics and kinase-substrate interactions.Nature communications · 2026Article
- High-throughput multi-organ proteomics workflow for drug efficacy and toxicity analysis.Nature communications · 2026Article
- Mistranslating tRNA variants impact the proteome and phosphoproteome of Saccharomyces cerevisiae.G3 (Bethesda, Md.) · 2026Article
- Optimizing multiomics sample preparation: comparative evaluation of extraction protocols for HepG2 cells.Analytical and bioanalytical chemistry · 2026Article
- Defining the heterogeneous molecular landscape of lung cancer cell responses to epigenetic inhibition.Communications biology · 2026Article
- A versatile platform for sequential glyco-, phospho-, and proteomics with multi-PTMs integration.Nature communications · 2026Article
- Dysregulated lipid metabolism and hypomyelination in postnatal peroxisome-deficientFrontiers in molecular neuroscience · 2026Article
- Article
52 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Recent developments in proteomics have enabled signaling studies where > 10,000 phosphosites can be routinely identified and quantified. Yet, current analyses are limited in throughput, reproducibility, and robustness, hampering experiments that involve multiple perturbations, such as those needed to map kinase-substrate relationships, capture pathway crosstalks, and network inference analysis. To address these challenges, we introduce rapid-robotic phosphoproteomics (R2-P2), an end-to-end automated method that uses magnetic particles to process protein extracts to deliver mass spectrometry-ready phosphopeptides. R2-P2 is rapid, robust, versatile, and high-throughput. To showcase the method, we applied it, in combination with data-independent acquisition mass spectrometry, to study signaling dynamics in the mitogen-activated protein kinase (MAPK) pathway in yeast. Our results reveal broad and specific signaling events along the mating, the high-osmolarity glycerol, and the invasive growth branches of the MAPK pathway, with robust phosphorylation of downstream regulatory proteins and transcription factors. Our method facilitates large-scale signaling studies involving hundreds of perturbations opening the door to systems-level studies aiming to capture signaling complexity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.