CA1

Differential vulnerability of CA1 pyramidal neuron cell types in the 5xFAD Alzheimer's disease mouse model

Selective neuronal vulnerability is a defining feature of Alzheimer's disease, yet how neurodegeneration unfolds across defined hippocampal CA1 pyramidal neuron populations remains unresolved. Previously, we showed that CA1 pyramidal neurons are organized into molecularly defined laminar cell types that form stable spatial signatures along the longitudinal axis (Pachicano et al., 2025). Here, we investigated how vulnerability manifests across CA1 pyramidal cell types in the 5xFAD mouse model...

Multi-omics analysis reveals chromatin and transcriptomic remodeling in hippocampal CA1 following adolescent social isolation

Social isolation (SI) during adolescence is associated with long-term vulnerability to psychiatric disorders; however, its effect on the hippocampal epigenome and transcriptome remains unclear. Here, we performed integrative ATAC-seq and RNA-seq of the hippocampal CA1 region using an adolescent mouse SI model, combined with single-cell RNA-seq reference mapping and cell type deconvolution. ATAC-seq identified SI-associated alterations in chromatin accessibility, including an increase in...

Hippocampal CA2 modulates trace fear conditioning through circuit-specific control of CA1

Forming associations between temporally separated events depends on pathways linking the CA1, the subiculum (SUB), and the entorhinal cortex. The degree to which this process requires the CA2, which shares extensive connectivity with these regions, remains unknown. conditioning (TFC), where mice learn to associate a tone and shock separated by a temporal gap, we showed that the dCA2 contributes to TFC.

Sparse-to-dense coding transformation between hippocampal areas CA3 and CA1

Tracking multi-site somatic voltage dynamics via high-speed fiber photometry

Investigating neural circuit dynamics across distributed brain regions in awake, behaving animals is crucial for understanding complex behavior. Genetically encoded voltage indicators (GEVIs) offer a powerful approach to tracking transmembrane voltage with high temporal and cellular specificity. However, scaling high-sensitivity GEVI recordings across multiple brain regions and multiple animals simultaneously remains a major technical challenge.