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This study found a significant overlap between gene expression signatures of alopecia areata and certain chronic inflammatory skin disorders, suggesting shared biological processes may drive their co-occurrence and providing a foundation for future research into distinct comorbid subtypes.

This study identified MPB susceptibility genes and potential drug candidates that may help uncover molecular mechanisms and address male-pattern baldness.

Using a multi-omics analysis, this study identified key regulators like PLA2G12A, KRT79, and prostaglandin B2 that influence cashmere fineness, providing crucial data for understanding the molecular mechanisms behind this trait in Liaoning cashmere goats.

This study found that tissue transcriptomics and a normalization approach can effectively cluster nine inflammatory skin diseases and identify specific biomarkers, including PTEN as a marker for cutaneous lupus erythematosus.

This study suggests that changes in expressed transcripts and splice isoforms may explain the transition from curly to straight fleece in Chinese Tan sheep as they age.

This study examined noninvasive tissue samples, including buccal swabs, hair follicles, saliva, and urine cell pellets, and found hair follicles and urine cell pellets promising for transcriptomic and clinical analyses due to their sample quality and performance in disease-relevant applications.

This study identified morphotype-specific gene expression patterns in feathers, enhancing understanding of the molecular and cellular processes involved in feather development and diversification.

In this study, researchers created a comprehensive transcriptome map of human hair follicle compartments, identifying compartment-specific genes and providing a resource for potential therapeutic interventions.

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 observed that differences in the expression of genes related to lipid metabolism may play a major role in determining wool fiber diameter in sheep.

This study reported that mSKPs and DMSCs share similarities in biological characteristics but exhibit distinct transcriptome profiles, with mSKPs being more immune-related and DMSCs more associated with differentiation and disease pathways.

In this study, whole-genome sequencing of Lanping black-boned sheep identified ERBB4 and ROR1 genes as potentially important in their distinctive hyperpigmentation, enhancing understanding of their genetic evolution from Lanping normal sheep.

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 found that overexpressing the gene Thymosin β4 (Tβ4) can promote the growth and development of secondary hair follicle dermal papilla cells in cashmere goats, suggesting its potential as a target for increasing cashmere production.

This study found that decreased TRPS1 expression in balding dermal papilla cells may impair their signaling ability, contributing to hair follicle miniaturization in androgenic alopecia.

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.

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.

In this study, 467 genes with differential expression between fine-wool and coarse-wool sheep, particularly those related to lipid metabolism, were identified as potentially influencing wool fibre diameter.

This study identified differentially expressed proteins and pathways potentially involved in wool bending in Zhongwei goats, with specific genes like COL6A1 and CRNN emerging as important candidates in this process.

This study generated a transcriptomic map of human hair follicles, identifying compartment-specific gene expression profiles that can aid in developing targeted therapies for hair follicle disorders.

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 study characterizes gene expression patterns in embryonic hair follicle progenitors and their niche, identifying signaling pathways like axon guidance that may drive cellular rearrangements for hair follicle formation.

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.

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

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 numerous genes involved in hair growth, including 73 co-up-regulated ones, were differentially expressed in goat hair follicles during the hair growth cycle.

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 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 found that targeting S1PR1 signaling in mouse aortic endothelial cells helps suppress inflammation-related gene expression while revealing diverse and spatially distinct endothelial cell subtypes.

This study reports that milk goats exhibit significantly more differentially expressed genes related to hair follicle cycling across different months compared to cashmere goats, especially in December.