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This study used single-cell RNA sequencing to characterize 19 distinct cell populations in sheep hair follicles, uncovering differentiation signatures and intercellular communication that may influence wool curvature and sheep breeding.

This study identified CD28, GZMB, and CD1C as key immune regulators in alopecia areata, highlighting CD28 as a potential therapeutic target with a promising safety profile, using a proteome-anchored multi-omics approach to uncover actionable targets for this autoimmune hair-loss disorder.

This study demonstrates the use of rPanglaoDB, an R package for combining public single-cell datasets, to create the first unbiased transcriptome profile of fibrocytes, revealing their role in tissue healing.

This study introduced rPanglaoDB, an R package that facilitates the integration of public scRNA-seq datasets to effectively characterize rare cell types, exemplified by generating the first unbiased transcriptome profile of fibrocytes.

This study identified CD28 as a promising drug target for treating alopecia areata, using a multi-omics approach to highlight its role in immune regulation and linking it to favorable safety profiles, thus offering a strategy for autoimmune target discovery.

This study identified CD28 as a potential drug target in treating alopecia areata by linking immune signaling pathways to local inflammation, highlighting belatacept as a promising treatment option due to minimal adverse effects and providing insights into autoimmune target discovery.

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

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.

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.

MultiKano accurately identifies cell types in complex data better than existing methods.

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.

The researchers reported that stress-induced keratins in human skin are expressed at lower levels than those in healthy skin and are co-regulated with genes involved in differentiation, inflammation, and immunity, rather than replacing keratins of normal differentiation or indicating cell proliferation.

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.

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 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.

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

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 developed a comprehensive atlas of human scalp tissue to uncover cell states and lineages in hair follicles, identifying disease-specific cellular changes associated with non-scarring and scarring hair loss, which may offer new diagnostic and therapeutic insights.

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 study used single-cell transcriptomic analysis to identify a specific cell population in acne patients' non-lesional skin, providing evidence for the comedone switch hypothesis by suggesting a shift towards infundibular differentiation at the expense of sebaceous gland maintenance.

This study found rapid changes in gene expression in mouse skin cells from the fetal to early postnatal stages, identifying specific markers for different fibroblast types and driver genes in dermal cell differentiation.

This review explains methods for studying chromatin variation at the single-cell level using scATAC-seq and discusses integrating these measures with other omics platforms but reports no new results.

This study re-analyzed single cell RNAseq data and confirmed longstanding views on keratin gene regulation in keratinocytes, while challenging assumptions about their role in cellular differentiation states.

This review discusses the integration of omics analyses in androgenetic alopecia research, reporting no new clinical results but suggesting that collaborative multi-omics studies may enhance understanding of AGA's pathomechanisms.

This study found that human hair follicle-derived mesenchymal stem cells demonstrated enhanced wound healing capabilities compared to umbilical cord-derived stem cells in laboratory and animal models.

This study constructed a comprehensive atlas of prenatal human skin, revealing that innate immune cells, such as macrophages, play a crucial role in skin morphogenesis by interacting with non-immune cells, influencing hair follicle formation and angiogenesis beyond their traditional immune functions.

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.