Hanying Yan

Correction to: Nature Neuroscience https://doi.org/10.1038/s41593-024-01794-1, published online 4 November 2024. In the version of this article initially published, several figure elements were incorrect. In Fig. 4c, the labels “hPEP.PIEZoh”, “hAb.LTMR”, and “hAd.LTMR” should have read “hPEP.PIEZOh”, “hAβ.LTMR”, and “hAδ.LTMR”, respectively. In Fig. 4d, the positions of the x-axis labels “CHRNA7” and “KIT” were swapped. In Fig.

Abstract Recent advances in spatial transcriptomics (ST) technologies have transformed our ability to profile gene expression while preserving crucial spatial context within tissues. However, existing ST platforms are constrained by high costs, long turnaround times, low resolution, limited gene coverage and inherently small tissue capture areas, which hinder their broad applications.

Abstract Background: Vascular smooth muscle cells (VSMCs) play a central role in atherosclerosis by undergoing phenotypic modulation from a quiescent, contractile state to a range of synthetic phenotypes, including fibroblast-like, macrophage-like, and lipid-laden foam cell?like states. However, a comprehensive multimodal characterization and understanding of the transcriptional programs driving these transitions remain incomplete.