Human Hair Follicle Transcriptome Profiling: A Minimally Invasive Tool to Assess Molecular Adaptations Upon Low-Volume, High-Intensity Interval Training

This study demonstrated that RNA-seq can effectively expand hair follicle transcriptomic profiling in a multi-center study, offering deeper insights than blood transcriptomics alone.

In this study, researchers created a comprehensive transcriptome map of human hair follicle compartments, identifying compartment-specific genes and providing a resource for potential therapeutic interventions.

This study generated a transcriptomic map of human hair follicles, identifying compartment-specific gene expression profiles that can aid in developing targeted therapies for hair follicle disorders.

In this study, researchers evaluated male-pattern hair loss treatments using RNA and microRNA expression profiling in 91 male participants, identifying 52 differentially expressed genes and suggesting a potential role for personalized treatment based on genetic analysis to monitor and predict treatment efficacy and compliance.

In this study, researchers found that hair follicles and dermal fibroblasts, including dermal papilla cells, supported sustained hair growth in transplanted murine models, with RNA-seq analysis revealing active signaling pathways and gene expression patterns.