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This study used single-cell and spatial transcriptomic profiling to identify specific molecular markers in human follicular dermal papilla cells, enhancing understanding of their role in hair follicle development.

In this single-cell transcriptomic study, researchers analyzed AA scalp samples and found distinct immune and nonimmune cell activation patterns, with elevated TH1/TH2 and JAK/STAT markers potentially contributing to hair follicle immune privilege disruption and disease severity.

This study identifies gene-regulatory networks related to genetic variants in skin and hair diseases, suggesting that dermal papilla cells are crucial in androgenetic alopecia.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

Alopecia areata involves complex immune cell interactions, especially between CD8+ T cells and macrophages, which could help develop new treatments.

This study used single-cell RNA sequencing to analyze 26,573 cells from the scapular skin of yaks, identifying 11 major cell types and providing insights into the diversity and morphogenesis of hair follicle cell types through detailed maps of DP cells and dermal fibroblasts.

This study revealed distinct cellular and transcriptomic differences among various subtypes of cutaneous T-cell lymphoma, particularly highlighting characteristics unique to folliculotropic mycosis fungoides.

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.

This paper reviews the advancements and applications of single-cell transcriptomics in animal research, highlighting its potential to enhance understanding of animal nutrition, health, genetics, and disease models.

This study found that patients with alopecia areata, particularly those with severe cases, exhibit significant systemic immune dysregulation, including altered cell communication networks and epigenetic remodeling in immune cells, suggesting potential pathways for therapeutic targeting.

This study suggests that LONRF1 may play a vital role in linking oxidative damage responses and tissue remodeling during wound healing, with distinct mechanisms in senescent and non-senescent cells.

This study identified two key epigenetic-related genes, HR and SMYD4, which may act as potential biomarkers in keloid disease, suggesting new therapeutic avenues for further research.

In this study, topical quercetin was found to stimulate hair follicle growth and promote microvascular regrowth in mice, suggesting its potential for hair regrowth strategies.

In this study, researchers used single-cell RNA sequencing to identify cell types and molecular differences in subcutaneous adipose tissue from various anatomical sites, suggesting that certain subpopulations of human adipose stem cells might improve the treatment of chronic refractory wounds.

This study reports that aging in human skin involves early photo- and inflammation-related cellular changes, and suggests restoring KLF6 and HES1 expression might reverse some of these age-associated changes.

This study used integrated single-cell chromatin and transcriptomic analyses in developing mouse skin to uncover gene networks involved in skin lineage specification and identified Mef2c+ upper fibroblasts as potential precursors to certain muscle-like structures, with cross-species findings in human skin.

This review synthesizes current advances in transcriptomics and RNA regulatory networks, alongside stem cell-derived skin organoid research, to propose a conceptual framework for understanding and potentially guiding regenerative skin repair, without claiming clinical readiness.

This study generated a transcriptomic map of human hair follicle compartments, providing a database for identifying compartment-specific gene expression which may aid in developing targeted treatments for hair follicle disorders.

The conclusion is that CD90 is not a specific marker for fibroblast subtypes and better methods are needed to identify them.

This study suggests that the growth arrest of nevus melanocytes is not due to oncogene-induced senescence but rather to collective cell interactions, similar to those in normal tissue size regulation.

This study found that short-term treatment with ROCKi significantly increased keratinocyte stem cell proliferation without affecting their stemness, suggesting a potential safe approach for improving in vitro keratinocyte cultures for clinical applications.

Researchers identified key cell types and genes involved in hair and skin diseases.

This study provided a dynamic 4D atlas showing the development process of mouse hair follicles through a telescope-like model, revealing new insights into the origin of hair follicle stem cells.

This review discusses the role of immune cells in mammalian hair cycle control and highlights their potential relevance to human hair cycling disorders, reporting no new clinical findings.

This review examined the role of molecular markers in isolating and tracing hair follicle stem cells, emphasizing their regulatory roles as revealed by single-cell transcriptomics data.

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 provides a detailed cellular atlas of cutaneous squamous cell carcinoma, indicating that different fibroblast subtypes play roles in tumor progression and suppression, with potential biomarkers identified for HPV-related tumor growth.

This study highlighted the significance of integrating single-cell RNA sequencing with spatial transcriptomics for improving cell-type identification in human skin, emphasizing the need for a comprehensive cell atlas.

In this study, single-cell sequencing revealed clonal expansions of CD4+ and CD8+ T cells in murine and human alopecia areata, supporting the development of predictive models for human disease.