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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.

This study aims to use a comprehensive health data set to develop a statistical model that can improve personalized and preventive health care by understanding relationships between various health parameters in individuals.

This study provided the first proteome dataset for alopecia areata, revealing novel pathways in the disease mechanisms that may lead to new therapeutic targets.

In this study, transcriptome analysis identified 68 differentially expressed miRNAs in human dermal papilla cells treated with hydrogen peroxide, suggesting they play a significant role in growth arrest and apoptosis.

This study identified the placenta at the base of the ovary as the origin of poplar seed hair development and detailed transcriptome dynamics during the growth process.

This article discusses the MendelVar webserver, which integrates Mendelian disease data with GWAS findings to prioritize candidate genes for complex traits and reports no new experimental results.

In this clinical trial, patients with lichen planopilaris treated with the oral TYK2 inhibitor deucravacitinib showed significant improvement in PGA, LPPAI, and Skindex-16 scores over 24 weeks, with transcriptomic analyses indicating decreased inflammatory and immune pathway activity post-treatment.

This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.

This article reviews the cellular dynamics affecting dermal papilla size in androgenetic alopecia and suggests targeting DP size could improve therapies, but it presents no new clinical data.

This review highlights the roles of key transcription factors and signaling pathways in regulating olfactory epithelium regeneration, discussing recent advances in single-cell and spatial transcriptomics as well as organoid models to enhance understanding of olfactory regeneration mechanisms.

This review found that anti-aging peptides show promise in cosmeceuticals due to their targeted actions to rejuvenate skin, but challenges like peptide stability, penetration, and limited clinical data limit their current effectiveness.

This article outlines the rationale, design, major findings, and updated objectives of the ongoing Rotterdam Study, without presenting new research data.

In this article, the authors describe how drug repurposing, supported by large-scale data and artificial intelligence, can make drug discovery more cost-effective and expedient compared to traditional methods, despite certain regulatory challenges.

This article explores the potential of combining biomarkers to assess and improve treatments for chemotherapy-induced alopecia, highlighting the limited availability of data on hair follicle damage markers with and without scalp cooling.

This review outlines drug repurposing as an efficient, low-cost strategy to identify new uses for existing drugs, highlighting various computational and experimental approaches as well as publicly available databases to aid in personalized pharmacotherapy.

This study found that type I interferon response-related genes activated by RIG-1 and IL-17 pathways were significantly up-regulated in hair follicle and skin samples with chronic discoidal lupus erythematosus.

This review synthesizes data suggesting that managing inflammation and oxidative stress may enhance the effectiveness of PRP therapy for hair regeneration, though standardizing PRP protocols remains challenging.

This study identified candidate genes related to hair follicle development in Merino sheep, providing insights for improving sheep wool quality and potentially understanding human hair growth mechanisms.

This review compiles EV proteomics data and reports that while MSC-derived EVs show promise in skin therapeutics, variability in protein cargo highlights the need for standardized methodologies in understanding process impacts.

This study investigated paternal drug exposure using FDA data and identified significant associations with reproductive health risks, including congenital anomalies linked to immunosuppressive drugs, and emphasized specific risk combinations like biologics and abortion, diazepam and small for date baby, and finasteride and cryptorchidism.

This study reported the first comprehensive transcriptome atlas of the extraorbital lacrimal gland in mice, identifying over 41 cell subclasses and revealing significant cell-cell communication networks, particularly among innate lymphoid cells.

This study revealed key cellular dynamics and interactions during early embryonic mouse skin development, highlighting complex transitions from precursor states to diverse multilayered structures.

This study used whole-genome sequence data to identify numerous putative causal variants and genes affecting key wool traits and skin wrinkle in Merino sheep, highlighting their polygenic and pleiotropic nature.

This study integrated single-cell RNA-seq data from four previous studies to create a comprehensive human corneal cell state meta-atlas, revealing novel marker genes, rare cell states, and distinct transcription factors, and offering a tool to enhance future cornea research.

This study developed a two-step diagnostic model using transcriptome biomarkers from hair follicles to improve the accuracy of methamphetamine use disorder diagnosis, achieving high prediction accuracy in distinguishing non-recovered and almost-recovered patients from healthy controls.

This study found that 62 plasma proteins are significantly associated with the risk of obstructive sleep apnea, offering potential targets for new therapeutic strategies.

In this study, researchers used transcriptome sequencing to identify various noncoding RNAs in the skin tissues of Jiangnan cashmere goats and found that certain long noncoding RNAs may play a role in regulating cashmere fiber fineness, offering new insights for breeding programs.

This study examined cashmere goats using whole-genome resequencing data and found that the Inner Mongolia cashmere goat had the lowest inbreeding coefficient, with genes identified linked to fiber, fertility, disease resistance, and growth, which can inform future breeding efforts.

This study introduces Cell Journey, a new platform for visualizing RNA velocity in 3D, which aims to better capture complex cellular transitions in single-cell datasets compared to current 2D methods.

This study found that TNC + fibroblasts are crucial in neuro-immune interactions in various skin diseases, particularly inflammation and tumors, by engaging extensively with immune cells and overexpressing inflammatory genes, suggesting their significant role in skin abnormalities.