High-resolution single-cell RNA-sequencing atlas for mouse cortical inhibitory neurons during development
Single-cell methodologies have improved our understanding of cellular diversity within complex tissues such as the mammalian neocortex. However, despite the unprecedented granularity, sampling of minority yet diverse cell populations remains challenging. Here, we show that many subtypes of cortical inhibitory γ-aminobutyric acid-containing (GABAergic) neurons are poorly represented in current atlases, with most datasets limited to adult stages and not recapitulating cell-state transitions of these rare cell types during development. We address this gap by optimizing experimental techniques and