bioRxivMolecular BiologyPreprint
SPRINT-MS: A high-throughput platform for identifying protein-protein interactions using pooled IP-MS and sparse signal recovery.
Lena Annika StreetiD, Moitrish MajumdariD, Katherine L. RothameliD, Esin Gogus, Gloria Ann BrariD, Gene Wei-Ming YeoiD, Tomas RubeiD, Marko JovanovićiD
Abstract
We present SPRINT-MS (SParse Reconstruction of INTeractions by Mass Spectrometry), an integrated experimental and computational platform to accelerate the discovery of protein-protein interactions (PPIs). PPIs, which govern critical cellular and physiological processes such as development and disease, form extensive networks that vary across time, conditions, and cell types, creating a complex, high-dimensionality problem. Thus, there is a pressing need for universally applicable tools capable of mapping and quantifying PPI networks and their context-dependent dynamics with high efficiency. SPRINT-MS combines an innovative antibody (or lysate) pooling scheme, immunopurification-mass spectrometry (IP-MS), and a novel sparse signal reconstruction algorithm to enable pooled PPI capture experiments. This approach increases throughput by an order of magnitude, while reducing sample input requirements. We demonstrate that SPRINT-MS, applied to 30 bait proteins of interest via either antibody or lysate pooling, is comparable to standard individual IP-MS experiments in the identification of PPIs and recapitulation of known interactions.
- Citations
- 1
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.
Related papers
- HIP-MS: An ultra-high-throughput, sensitive, and versatile affinity enrichment platform for static and dynamic interactome profiling
Louisa Grauvogel, Elisabeth Zollbrecht, … Matthias Mann·bioRxiv·Jun 8, 2026
- Accelerating Protein-Protein Interaction screens with reduced AlphaFold-Multimer sampling
Greta Bellinzona, Davide Sassera, Alexandre M. J. J. Bonvin·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2024
- Mapping Protein-Protein Interactions Using Data-Dependent Acquisition Without Dynamic Exclusion
Shen Zhang, Brett G. Larsen, … Anne‐Claude Gingras·Analytical ChemistryPeer-reviewed·Jul 18, 2022
- XL-Ranker: A Computational Workflow for Prioritizing Protein-Protein Interactions from Cross-Linking Mass Spectrometry Data
Wenrong Chen, John M. Elizarraras, … Bing Zhang·bioRxiv·Jul 18, 2025
- PPIAT:Target mass spectrometry based Protein-Protein interaction analytics tool
Jongham Park, Ahrum Son, H. S. Kim·bioRxiv·Apr 4, 2023
- A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE)
Richard Greg Stacey, Michael A. Skinnider, … Leonard J. Foster·BMC BioinformaticsPeer-reviewed·Oct 23, 2017