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This research reexamined transcriptomic data to study stem and progenitor cell proliferation in psoriasis, finding that the number of committed progenitor cells increased eight-fold in psoriatic skin without altering stem cell numbers, potentially identifying new therapeutic targets.

In this research, an optimized protocol was developed for dissociating human scalp tissue to produce high-quality single-cell suspensions suitable for single-cell RNA sequencing, aimed at studying the transcriptomics of human hair follicles.

This review discusses the insights gained from single-cell RNA sequencing of fibroblasts in various cancers and wound healing, highlighting differences in gene expression and novel interactions.

This research examined the transcriptional landscape of quiescent melanocyte stem cells (qMcSCs) in adult female mice, revealing significant heterogeneity within this cell population and identifying novel subpopulations that vary in immune privilege regulation, melanocyte differentiation potential, and neural crest potential.

This review discusses how combining single-cell RNA sequencing and 3D bioprinting is advancing skin tissue engineering by enhancing cellular-level precision and addressing challenges like vascularization, ultimately improving regenerative outcomes and therapeutic strategies.

This study explored the diversity of melanocyte stem cell subpopulations in the hair follicles of adult female mice and identified novel groups with distinct immune privilege regulation, suggesting a heterogeneous landscape that future research should consider.

This study found that single-nucleus RNA sequencing identified more relevant keratinocyte clusters and specific markers than single-cell RNA sequencing, offering a new perspective on skin cell differentiation and function.

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.

The researchers developed a comprehensive human skin cell atlas using data from various studies and established a consensus nomenclature for normal human skin in this project, which also includes a deep learning-based method for more effective reference mapping of new cells.

This study using scRNA-seq on 96 skin biopsies from 51 healthy individuals revealed distinct cell signaling pathways in different skin sites, including unique pathways in facial and palmoplantar skin, which may explain their varying susceptibilities to skin disorders.

This study identified distinct and diverse fibroblast populations in female scalp cells that lose their signature and identity with age, highlighting significant age-related changes, such as increased fibrosis, DNA damage, and senescence, which may affect scalp dermal support for healthy hair follicles.

Skin organoids can regenerate hair by forming specific cell units with certain signals.

This study examined the cytodifferentiation stage of hair follicle development in cashmere goats, identifying nine cell populations and key regulatory pathways, including transcription factors and keratin genes, that may influence fiber quality and inform breeding strategies.

This study used advanced single-cell RNA and chromatin sequencing to investigate differences in peripheral blood cells between mild and severe alopecia areata patients, uncovering shared transcription factor motifs that may explain disease severity and open avenues for future research on therapeutic targets.

This study found that engineered reconstituted skin can form morphogenetic units that promote tissue patterning and hair regeneration, with certain signaling pathways restoring this ability in adult and fetal cells.

This study presents a new method called scMC that effectively distinguishes biological from technical variation in single-cell genomics datasets, demonstrating its ability to accurately align and detect biological signals across various experiments.

In this study, researchers found that wound healing in mouse skin recruits diverse fibroblasts, including myeloid-derived cells, which contribute to regenerating adipocytes.

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 used single-cell RNA sequencing to create a detailed atlas of human scalp hair follicles and found that early-stage hair graying involves matrix hair progenitor depletion linked to P53 pathway activation.

This study used single-cell RNA sequencing to map the cellular composition of sheep hair follicles, revealing differentiation pathways and potential molecular mechanisms for wool curvature, which may inform sheep breeding.

This study found that targeting IL-6, IL-1, and CCR6 signaling pathways may effectively reduce irradiation-induced alopecia and dermatitis in radiotherapy patients.

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.

This study used scRNA-Seq to map the transcriptional changes during zebrafish hair cell regeneration, revealing distinct phases including injury response, transient regeneration gene activation, and reactivation of developmental programs.

The research aims to better understand hair follicle regulation and find new treatments for hair loss.

In this study, researchers found that the interaction between dermal papilla and endothelial cells decreases with age, affecting signaling pathways that promote hair regeneration and angiogenesis in mouse models.

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.

This study analyzed blood samples from individuals with alopecia areata and found that NKG2D+ immune cells, particularly memory-like NK cells, may better correlate with disease activity compared to CD8+ cells, though significant variability among individuals complicates these findings.

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.

This study found that the loss of transcription factor Ovol2 in epidermal and hair follicle stem cells leads to migration defects, which are partially improved by deleting the EMT-inducing Zeb1.

This study used single-cell RNA sequencing to identify at least nine subpopulations of keratinocytes in human neonatal epidermis, revealing unexpected heterogeneity and complex differentiation trajectories.