Linking ion channel gene expression to neuronal firing patterns through a statistical-biophysical model.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41142910.
- Also identified by DOI 10.1016/j.patter.2025.101390 and PMC identifier 12546750.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Patch-seq enables the integration of electrophysiological recordings, single-cell RNA sequencing (scRNA-seq), and morphological reconstruction within the same neuron, but establishing mechanistic links between transcriptomic and physiological properties remains a major challenge. Bernaerts et al.<sup>1</sup> developed a new statistical-biophysical model based on biophysical simulations and modern machine learning techniques. They applied this model to gene expression and established a quantitative link between gene expression and electrophysiological activity patterns. This work is an important advance toward closing the gap between gene expression and neuronal physiology.