Proteome-Driven Phenotyping of Identified Single Neurons in Intact Brain Tissue by Aspiration Patch Proteomics
. The workflow identified more than 1,000 proteins from single-neuron samples under optimized conditions while consuming only about 0.25% of the processed digest per analysis. These proteomes were sufficient to separate biological replicates by neuronal phenotype, distinguish neuronal subtypes on the basis of protein expression alone, and define a conserved somal proteome shared across neuronal classes. Our results establish that controlled aspiration of partial somal material can support proteome-driven phenotyping without whole-soma retrieval, cell dissociation, or loss of native tissue context. Aspiration patch proteomics therefore provides an accessible route for subtype-level proteome phenotyping in intact brain tissue.
Authors
- Sam B. Choi (ORCID: https://orcid.org/0000-0003-0874-9158)
- Péter Nemes (ORCID: https://orcid.org/0000-0002-4704-4997)
- Ricardo C. Araneda (ORCID: https://orcid.org/0000-0001-8728-3063)
- Juan Zegers-Delgado
- Abigail M. Polter (ORCID: https://orcid.org/0000-0003-0151-0996)
- Alexandre Kisner (ORCID: https://orcid.org/0000-0002-1462-2228)
- Nicolas C. Johnson (ORCID: https://orcid.org/0009-0005-4523-0736)
Institutions
- George Washington University (US)
- University of Maryland, College Park (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-04-26
- DOI
- https://doi.org/10.64898/2026.04.22.720006
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health