R2HaPpY: Rapid-robust phosphotyrosine peptide enrichment using HaloTag-Src SH2 pY superbinder

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The study developed and optimized a rapid, robust phosphotyrosine peptide enrichment workflow by fusing an SH2 phosphotyrosine “superbinder” to the HaloTag protein, aiming to reduce reagent cost and labor while increasing binding efficiency. Using this reagent, the authors performed systems-level phosphotyrosine profiling of EGF-stimulated HeLa cells, detecting and quantifying 1,651 unique phosphotyrosine sites from ~1 mg of input peptides per replicate, including many low-abundance sites not previously detected as EGF-responsive. They report that the method enables direct enrichment bead preparation from bacterial lysate, shortening reagent preparation from days to hours. The paper does not explicitly address limitations in the abstract beyond framing the method as faster and more efficient than other enrichment reagents. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract Phosphotyrosine signaling plays a critical role in many biological processes, from cell proliferation to immune response. Despite its importance, systems-level analysis of phosphotyrosine signaling remains a challenge due to costly enrichment reagents and labor-intensive protocols. We previously established an automated phosphotyrosine enrichment method for preparing 96 samples in parallel. Here, we further optimize this method by fusing an SH2 phosphotyrosine superbinder to the HaloTag protein. This allows simple and cost-effective preparation of enrichment beads directly from bacterial lysate, expediting reagent preparation from days to hours. Additionally, our new reagent binds phosphotyrosine peptides at higher efficiency than other enrichment reagents. Using this reagent, we detect and quantify 1,651 unique phosphotyrosine sites from EGF stimulated HeLa cells using only ∼1 mg of input peptides per replicate. These include 878 regulated pY sites, many of which are low abundance and not previously detected or annotated as EGF-responsive. This streamlined and sensitive method facilitates comprehensive, quantitative mapping of tyrosine phosphorylation dynamics, enabling broader integration of phosphotyrosine signaling into multiomic and network-level models across diverse biological systems and disease states.

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last seen: 2026-05-20T01:45:00.602351+00:00