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This study found that upper wound fibroblasts are crucial for hair follicle regeneration during wound healing and suggests that these cells, along with papillary fibroblasts, migrate within the wound.

This study demonstrated a close anatomical relationship between Merkel cells and Langerhans cells in human hair follicles, suggesting potential functional interactions in the bulge area.

In this study, researchers found that the human hair follicle microbiota vary by anatomical compartment and donor age, with specific microbes like S. epidermidis potentially influencing hair follicle functions, which suggests new avenues for therapeutic targeting.

This study found that human hair surfaces exhibit nonhomogeneous wettability, potentially influenced by daily rhythms and even monthly changes possibly linked to the menstrual cycle.

This study found that extracellular vesicles derived from mesenchymal stem cells and umbilical cord blood plasma enhanced wound healing and reduced scar formation in mice, suggesting their potential as therapeutic agents for skin repair.

This perspective highlights how advancements in single-cell sequencing and digital pathology can help understand the complex mechanisms of immune responses, fibrosis, and tissue remodeling related to medical implants, aiming to address the challenges of implant-related tissue reactions reported in this study.

In this study, researchers used advanced techniques to map the early embryonic development of mouse skin, identifying diverse cell populations and uncovering complex interactions essential for skin structure, signaling, and function.

This study revealed that BMP5 in onychofibroblasts may play a key role in the differentiation of nail matrix keratinocytes, highlighting transcriptional similarities between nail and hair structures.

This study observed that downregulation of laminin-511 plays an important role in hair regression during the catagen stage in mice.

This study found that progesterone implantation in castrated male rats mitigated stress-induced increases in corticosterone levels and protected against spatial memory impairment and increased exploratory behavior.

This study developed 3DEEP, a tissue clearing and spatial transcriptomic method, to map hair follicle development in a single time point from a 12-hour-old mouse, detailing molecular stages, signaling dynamics, and structural changes within developing follicles.

This study presents a new classification of adult human scalp hair patterns based on high-resolution photographs, which may assist hair restoration surgeons and dermatologists in determining appropriate punch size for follicular unit extraction.

This study explored the spatial variation of THFD in cashmere goats and identified four genes associated with it, offering insights that could aid in the development of THFD genes for these animals.

This case report describes an 8 cm giant pilomatricoma on a 67-year-old man's scalp, revealing distinct transcriptional patterns related to hair follicle factors and keratin through spatial gene expression analysis.

This study created a detailed spatial atlas of healthy human skin and basal cell carcinoma, revealing a potential hair follicle origin for basal cell carcinoma and expansion of certain mesenchymal cell populations.

This study found that in spiny mice, the proximal side of ear wounds is crucial for regeneration, a process possibly linked to unique injury-induced immune responses compared to nonregenerative rodents.

The researchers reported that introduction of SOX9 in ischemic heart tissues is linked to cardiac fibrosis, marking it as a potential target for future therapeutic strategies.

Light skin shows more inflammation from sun exposure than dark skin.

Discoid lupus erythematosus involves immune activation and fibrosis around hair follicles, with shared pathways across humans, dogs, and mice, suggesting potential treatments for both humans and animals.

Acne involves increased lipid production and inflammation, affecting skin cell behavior and treatment resistance.

Specific immune cells and pathways contribute to hair follicle inflammation and hair loss, suggesting potential treatments for lichen planopilaris.

This study explored how T cells interact with hair follicles in primary cicatricial alopecias by using spatial transcriptomics across mice, dogs, and human samples, revealing specific communication pathways and potential drug targets like CFD and S100A8/9 for future therapeutic research.

The study investigated immune cell patterns around the hair follicle infundibulum in androgenetic alopecia, revealing significant differences in immune signatures between patients with AGA and control donors, specifically noting an enrichment of CD4 cells in the patient group.

This study details a step-by-step protocol for preparing mammalian skin samples, including hair follicles, for spatial transcriptomics to overcome challenges inherent in applying this technique to the skin.

CD8+ T cells attack hair follicle stem cells, causing scarring and hair loss in Discoid Lupus.

This study observed that in live rodents, actin filaments adjust their structure to facilitate membrane transfer between cellular compartments; linear filaments stabilize fused membranes, while branched filaments, connected by the protein Ezrin, drive integration, demonstrating actin's role in adapting to membrane biophysical changes.

In this study, researchers used spatial transcriptome profiling to identify immune disturbances in the peri-infundibular region of androgenetic alopecia patients’ hair follicles, finding increased CD4+ T cells with a bias toward Th2 immune responses compared to controls.

This study suggests that caveolin-1 may be a potential target for treating psoriasis, as its downregulation was linked to psoriasis markers that improved with soluble caveolin scaffolding domain peptide treatment.

In this study, researchers developed a detailed spatial atlas of healthy human skin and basal cell carcinoma, revealing that basal cell carcinoma likely originates from hair follicles and involves expansion of specific fibroblast subpopulations found in healthy skin.

This study presents a machine learning algorithm that achieved 89.5% accuracy in predicting hair health using factors like spatial-temporal images, age, and gender.