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This article reviews cytokeratin expression patterns in epithelial tissues and tumors, suggesting these patterns can aid in differentiating primary and metastatic carcinomas, without presenting new clinical results.

In this study, researchers used Raman spectroscopy to identify melanin-specific features in mouse hair as potential biomarkers for gamma-radiation exposure, achieving a sensitivity of 88% and specificity of 83%, with classification accuracy declining over time beyond 7 days post-irradiation.

In this study, researchers reported that specific gene polymorphisms in Jiangnan cashmere goats, particularly SNPs in the HOXC13 and WNT4 genes, were significantly associated with key economic traits like birth weight and yearling weight, providing molecular markers for breeding and enhancing economic trait stability.

This study reported the expression patterns and potential functions of long non-coding RNAs in the hair follicle cycle of yak, with insights into their sequence conservation between yak and cashmere goat.

In this study, researchers conducted whole-genome resequencing of eight sheep breeds to identify additional genes associated with wool fineness, revealing 269 genes in fine wool and 319 in coarse wool breeds that are linked to significant traits and pathways.

ZPK helps skin cells mature and may affect skin health.

The researchers developed a new follicular unit extraction system with adjustable needle lengths and precise rotation speed, which they report as being superior to existing systems for non-incisional hair transplants.

This study used machine learning to develop classifiers for identifying effective inhibitors of 5α-reductase isozyme 2, achieving high performance in distinguishing potent from weak inhibitors.

Among Super Merino and Small-Tailed Han sheep, this study identified differentially expressed long non-coding RNAs and mRNAs linked to hair follicle growth and fiber traits, suggesting their potential roles in regulating these important wool characteristics through RNA sequencing and gene enrichment analyses.

Type I keratin genes are closely linked to the rex locus on mouse chromosome 11, affecting hair development.

This study identified genetic variations that could serve as candidate markers for improving body conformation traits in Kazakh fat-tailed coarse-wool sheep through marker-assisted selection.

This study reviewed the use of self-supervised Auto ML models for detecting alopecia areata, finding significant advancements in automated diagnosis but also challenges such as model explainability and data bias, which may guide future AI-driven dermatological diagnostics.

This study found that the Bsk phenotype in mice did not result from a recombination event between specific keratin genes, leaving the gene linked to this mutation unidentified.

This study introduced a new classification method for male pattern baldness in Korean men, detailing six types that could guide hair restoration surgery and further research.

In this study, researchers aim to use AI-related methods to predict different hair loss patterns, including male and female pattern baldness, alopecia areata, telogen effluvium, and traction alopecia, though specific results are not reported.

This research by Yuan et al. focused on developing a comprehensive human skin cell atlas, analyzing various cell types and diseases, and introduced a deep learning method, scSEA, for unbiased reference mapping, potentially discovering new cell types.

This study found that men with Kennedy disease have a significantly lower risk of androgenetic alopecia, likely due to androgen receptor gene alterations from the disease's polyglutamine expansion.

This study developed a hat-shaped device with wearable sensors to estimate scalp moisture content using machine learning, demonstrating that it can provide accurate measurements comparable to professional scalp analyzers without the need for high-cost equipment.

The study suggests that nestin-expressing progenitor cells can differentiate into outer root sheath keratinocytes in hair follicles, indicating distinct progenitors for different hair follicle and epidermal components.

Certain gene variations in EGF and EGFR may increase the risk of alopecia areata in Koreans.

This study found that polymorphisms in KRTAP13.1, KRTAP27-1, and KRTAP24-1 were significantly associated with fiber diameter in Jiangnan cashmere goats, which may aid future breeding and conservation efforts.

This study found that DKK1-targeting siRNA, which may activate the Wnt/β-catenin signaling pathway, showed hair growth results in mice similar to those treated with the FDA-approved minoxidil, suggesting potential as an androgenetic alopecia therapy.

This study found that adipose-derived stem cells with DKK1 knocked out using CRISPR/Cas9 promoted hair growth in an alopecia areata model more effectively than untreated stem cells, suggesting DKK1 is a potential therapeutic target for this condition.

Keratin-associated proteins may have roles in various mouse tissues, not just hair.

This study describes a method using lentivirus in mouse cells to analyze epithelial-mesenchymal signaling important for hair follicle development, offering a quicker alternative to genetic models.

This study found that adding cell adhesion-linked gene expression variables improved the identification of patients with SLN metastases within 90 days of melanoma diagnosis compared to using clinicopathologic variables alone.