Patch-Clamp Single-Cell Proteomics in Acute Brain Slices: A Framework for Recording, Retrieval, and Interpretation
Rodriguez, L.; Diedrich, J.; Martins, A. M. A.; Sun, L.; Tsu, B.; Kairs, S.; Vlkolinsky, R.; Barnes, C. A.; Roberto, M.; Yates, J. R.
Show abstract
Single-cell proteomics (SCP) is a powerful method for interrogating the molecular composition of neurons, yet its application to acute brain slices has remained limited. Patch-clamp electrophysiology provides direct information on neuronal excitability, synaptic inputs, and ion channel function, making it a natural partner for SCP. However, combining these techniques introduces unique challenges. For instance, after patch-clamping a neuron, its soma must be physically retrieved, and variability during extraction from the brain slice may influence how well proteomic measurements reflect in situ physiology. Here, we introduce a framework for contextualizing patch-SCP outcomes, with an emphasis on retrieval quality (material yield and soma-enriched synaptic content). We used an indiscriminate shotgun strategy in which all patched neurons were collected regardless of electrophysiological outcome to assess soma retrieval in an exploratory dataset of rat medial prefrontal cortex pyramidal neurons. Capacitance during gigaseal-preserved retrieval correlated with protein identifications, suggesting that proteome yield could be linked to soma size. Preservation of neuronal spiking during relocation tended to be associated with broader synaptic enrichment and recovery of transmembrane proteins. By comparison, torn or aspirated neurons produced small proteomes with poor synaptic representation and neurons with little to no characterization displayed more variable outcomes. These results demonstrate that patch-SCP can be used to assess soma retrieval and they provide a framework for interpreting how electrophysiological context and soma retrieval quality shape single-neuron proteomic measurements in semi-intact circuits.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Middle-down proteomics reveals dense sites of methylation and phosphorylation in arginine-rich RNA-binding proteins 94%
- mokapot: Fast and flexible semi-supervised learning for peptide detection 92%
- Quantitative analysis of non-histone lysine methylation sites and lysine demethylases in breast cancer cell lines 92%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Unbiased complexome profiling and global proteomics analysis reveals mitochondrial impairment and potential changes at the intercalated disk in presymptomatic R14Delta/+ mice hearts 93%
- Inclusion bodies formed by polyglutamine and poly(glycine-alanine) are enriched with distinct proteomes but converge in proteins that are risk factors for disease and involved in protein degradation 92%
- The S-palmitoylome and DHHC-PAT interactome of Drosophila melanogaster S2R+ cells indicate a high degree of conservation to mammalian palmitoylomes 91%