ArticleJournal of proteome research2023
Automated Enrichment of Phosphotyrosine Peptides for High-Throughput Proteomics.
Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 16 citations in OpenAlex.
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- Phosphoproteomics in Vascular Biology and Disease: Illuminating Signaling in the Vessel.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Scalable phosphotyrosine enrichment with SH2 superbinder enables deep profiling of EGF responses.The EMBO journal · 2026Article
- Regulation of organic anion transporting polypeptide 1B1 transport function by lysine deacetylase 6.Molecular pharmacology · 2026Article
- CAMK2D causes heart failure in mice with RBM20 cardiomyopathy.Nature cardiovascular research · 2026Article
- Carafe2 enables high qualitybioRxiv : the preprint server for biology · 2026Article
- Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics.Nature communications · 2025Article
- Finding coexisting combinations of posttranslational modifications with HomMTM spectra.Briefings in bioinformatics · 2025Article
- CySP3-96 Enables Scalable, Streamlined, and Low-Cost Sample Preparation for Cysteine Chemoproteomic Applications.Molecular & cellular proteomics : MCP · 2025Article
- Carafe enables high qualitybioRxiv : the preprint server for biology · 2025Article
- R2HaPpY: Rapid-robust phosphotyrosine peptide enrichment using HaloTag-Src SH2 pY superbinder.bioRxiv : the preprint server for biology · 2025Article
- Review
- Advancements in Global Phosphoproteomics Profiling: Overcoming Challenges in Sensitivity and Quantification.Proteomics · 2025Review
- Dear-PSM: A deep learning-based peptide search engine enables full database search for proteomics.Smart medicine · 2024Article
- Automated Immunoprecipitation Workflow for Comprehensive Acetylome Analysis.Methods in molecular biology (Clifton, N.J.) · 2024Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Phosphotyrosine (pY) enrichment is critical for expanding the fundamental and clinical understanding of cellular signaling by mass spectrometry-based proteomics. However, current pY enrichment methods exhibit a high cost per sample and limited reproducibility due to expensive affinity reagents and manual processing. We present rapid-robotic phosphotyrosine proteomics (R2-pY), which uses a magnetic particle processor and pY superbinders or antibodies. R2-pY can handle up to 96 samples in parallel, requires 2 days to go from cell lysate to mass spectrometry injections, and results in global proteomic, phosphoproteomic, and tyrosine-specific phosphoproteomic samples. We benchmark the method on HeLa cells stimulated with pervanadate and serum and report over 4000 unique pY sites from 1 mg of peptide input, strong reproducibility between replicates, and phosphopeptide enrichment efficiencies above 99%. R2-pY extends our previously reported R2-P2 proteomic and global phosphoproteomic sample preparation framework, opening the door to large-scale studies of pY signaling in concert with global proteome and phosphoproteome profiling.
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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 Socratic graph.