HIP-MS: An ultra-high-throughput, sensitive, and versatile affinity enrichment platform for static and dynamic interactome profiling
Grauvogel, L.; Zollbrecht, E.; Heymann, T.; Brennsteiner, V.; Pensl, C.; Michaelis, A. C.; Mann, M.
Show abstract
Although protein-protein interactions govern virtually all cellular processes, systematic interactome mapping by affinity enrichment mass spectrometry (AE-MS) is constrained by manual sample preparation and lengthy liquid chromatography (LC)-MS/MS acquisition. Here we present High-throughput Interactome Profiling by MS (HIP-MS), an automated, end-to-end pipeline that overcomes these limitations. It leverages the compact, high-affinity ALFA tag for on-plate nanobody capture in 384-well format, combined with on-plate tryptic digestion. It can process almost 10,000 samples per week from protein expression up to MS measurement and can be combined with ultra-fast gradient LC-MS acquisition of 500 samples per day. HIP-MS remains sensitive down to low-microgram lysate inputs, a 4,000-fold reduction compared to recent large-scale screens. Our pipeline recovers complexes from diverse cellular compartments and resolves endogenous membrane receptor signaling. HIP-MS establishes a scalable foundation for systematic interrogation of protein interactions across conditions, perturbations, and time, and for the generation of large-scale datasets for computational modeling.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology 97%
- Mass Spectrometry-based Profiling of Single-cell Histone Post-translational Modifications to Dissect Chromatin Heterogeneity 96%
- Structural Host-Virus Interactome Profiling of Intact Infected Cells 96%
Similar papers in this journal
- Prioritized single-cell proteomics reveals molecular and functional polarization across primary macrophages 96%
- A proteome-wide quantitative platform for nanoscale spatially resolved extraction of membrane proteins into native nanodiscs 95%
- Engineered allostery in light-regulated LOV-Turbo enables precise spatiotemporal control of proximity labeling in living cells 95%
Similar papers in this journal
- Turnover and replication analysis by isotope labeling (TRAIL) reveals the influence of tissue context on protein and organelle lifetimes 96%
- Proteome-scale amino-acid resolution footprinting of protein-binding sites in the intrinsically disordered regions of the human proteome 95%
- Interrogation of RNA-protein interaction dynamics in bacterial growth 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.