bioRxivCell BiologyPreprint
Aberrant phase separation is a common killing strategy of positively charged peptides in biology and human disease
S. Boeynaems, X. R. Ma, V. Yeong, G. M. Ginell, J.-H. Chen, J. A. Blum, L. Nakayama, A. Sanyal, A. Briner, D. Van Haver, J. Pauwels, A. Ekman, H. B. Schmidt, K. Sundararajan, L. Porta, K. Lasker, C. Larabell, M. A. F. Hayashi, A. Kundaje, F. Impens, A. Obermeyer, A. S. Holehouse, A. D. Gitler
Abstract
Positively charged repeat peptides are emerging as key players in neurodegenerative diseases. These peptides can perturb diverse cellular pathways but a unifying framework for how such promiscuous toxicity arises has remained elusive. We used mass-spectrometry-based proteomics to define the protein targets of these neurotoxic peptides and found that they all share similar sequence features that drive their aberrant condensation with these positively charged peptides. We trained a machine learning algorithm to detect such sequence features and unexpectedly discovered that this mode of toxicity is not limited to human repeat expansion disorders but has evolved countless times across the tree of life in the form of cationic antimicrobial and venom peptides. We demonstrate that an excess in positive charge is necessary and sufficient for this killer activity, which we name polycation poisoning. These findings reveal an ancient and conserved mechanism and inform ways to leverage its design rules for new generations of bioactive peptides.
- organism: human
- organism: multiple species
- assay: proteomics
- research focus: cell signaling & trafficking
- research focus: software / tool
- approach: machine learning (classical)
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
- ToxinPred 3.0: An improved method for predicting the toxicity of peptides
Anand Singh Rathore, Shubham Choudhury, … Gajendra P. S. Raghava·Computers in Biology and MedicinePeer-reviewed·Jul 21, 2024
- The phosphatidylserine-binding proteins Turandots protect the peripheral nervous system from antimicrobial peptide toxicity
Samuel Rommelaere, Siqi Wang, … Bruno Lemaître·bioRxiv·May 4, 2026
- NTxPred2: A large language model for predicting neurotoxic peptides and neurotoxins
Anand Singh Rathore, Saloni Jain, … Gajendra P. S. Raghava·Protein SciencePeer-reviewed·Jul 16, 2025
- α-Helical peptidic scaffolds to target α-synuclein pathogenic species with high affinity and selectivity.
J. Santos, P. Gracia, … S. Ventura·bioRxiv·Mar 12, 2021
- Neurotox: Deep learning decodes conserved hallmarks of neurotoxicity across venomous species
Anas Bedraoui, Salim El Mejjad, … Tariq Daouda·bioRxiv·Mar 10, 2026
- Rapid ex vivo reverse genetics identifies the essential determinants of prion protein toxicity
Regina Reimann, Martina Puzio, … Adriano Aguzzi·Brain PathologyPeer-reviewed·Nov 3, 2022