A Multi-Omics Approach to Create a Human Hair Atlas for Healthy and AGA Models

Researchers are using Single-cell RNA sequencing (scRNA-seq) and Spatial transcriptomics (Stereo-seq) to study human hair follicles from healthy individuals and those with androgenetic alopecia (AGA). The study focuses on cell-cell interactions and gene expression patterns to understand disruptions during hair miniaturization. While scRNA-seq faces challenges with certain cell populations, Stereo-seq overcomes these by capturing comprehensive transcriptomes without tissue digestion. This approach allows for detailed spatial gene clustering and identification of various cell types at single-cell resolution. The goal is to enhance understanding of hair follicle regulation and identify potential new therapies for AGA.