Nirmala Rayan

This paper develops a high-quality, scalable workflow for whole-cell single-cell RNA sequencing of adult cardiomyocytes and non-myocytes using in-cell ligation and split-pool barcoding, improving data quality and throughput.

The paper analyzes single-nucleus RNA-seq data from the human striatum and prefrontal cortex to study inter-individual variation in cell abundances and gene expression, finding age-related changes and genetic associations.

The paper maps a mesoscale molecular architecture of the human striatum across cell types and age, revealing zonal differences in gene expression and aging effects.