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This study demonstrates that LES-hair can detect differential protein expression in specific regions of plucked hair follicles, suggesting its potential for research and clinical applications like monitoring treatment effects in alopecia and cancer therapies.

In this study, researchers identified significant differences in protein expression patterns in scalps affected by central centrifugal cicatricial alopecia, notably upregulation of immune pathways and fibrosis markers and downregulation of metabolic proteins, suggesting unique disease mechanisms and potential therapeutic targets.

Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.

In this study, researchers used proteomics to analyze hair samples from diverse ethnic populations, finding that hair protein profiles could potentially distinguish individuals based on ethnicity, sex, and age, offering a new method for human identification in forensic science.

This study used proteomic profiling to reveal significant individual and site-specific differences in human hair shaft proteins, which may improve the differentiation of hair based on ethnic origin and individual identity.