henhaobio
Sign in

bioRxivBiochemistry

A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics

C.-F. Tsai, Y.-T. Wang, C.-C. Hsu, R. B. Kitata, R. K. Chu, M. Velickovic, R. Zhao, S. M. Williams, W. B. Chrisler, M. L. Jorgensen, R. J. Moore, Y. Zhu, K. D. Rodland, R. D. Smith, C. H. Wasserfall, T. Shi, T. Liu

PDFDOIPreprint

Abstract

Effective phosphoproteome of nanoscale sample analysis remains a daunting task, primarily due to significant sample loss associated with non-specific surface adsorption during enrichment of low stoichiometric phosphopeptide. We developed a novel tandem tip phosphoproteomics sample preparation method that is capable of sample cleanup and enrichment without additional sample transfer, and its integration with our recently developed SOP (Surfactant-assisted One-Pot sample preparation) and iBASIL (improved Boosting to Amplify Signal with Isobaric Labeling) approaches provides a streamlined workflow enabling sensitive, high-throughput nanoscale phosphoproteome measurements. This approach significantly reduces both sample loss and processing time, allowing the identification of >3,000 (>9,500) phosphopeptides from 1 (10) {micro}g of cell lysate using the label-free method without a spectral library. It also enabled precise quantification of [~]600 phosphopeptides from 100 cells sorted by FACS (single-cell level input for the enriched phosphopeptides) and [~]700 phosphopeptides from human spleen tissue voxels with a spatial resolution of 200 {micro}m (equivalent to [~]100 cells) in a high-throughput manner. The new workflow opens avenues for phosphoproteome profiling of mass-limited samples at the low nanogram level.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISOliinyk '25Heymann '25Gaizley '25Daly '25Wu '26Bortel '24
73% semantic matchSystems Biology
Denys Oliinyk, Tim Heymann, Lukas T. Henneberg+13 more·bioRxiv·May 29, 2025· 10 citations