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This research highlights advancements in understanding and treating psoriasis, finding that targeted therapies like IL-17 and IL-23 inhibitors show promise, but challenges such as adverse events, treatment resistance, and the need for personalized approaches remain.

This study observed that extracellular matrix scaffold membranes performed less effectively in wound healing for aged mice compared to younger ones, with senescent SPP1+ macrophages potentially hindering epidermal and fibroblast repair abilities.

This study found that DPP4 is significantly involved in matrix deposition and fibrosis in human skin fibroblasts, although the exact functions of DPP4 remain unclear.

This study reports a new optimized protocol for isolating and labeling single cells from neonatal mouse skin, enabling high-quality single cell RNA sequencing for lineage-specific cell analysis.

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.

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 cardiac fibroblasts significantly enhance the maturation of neonatal mouse and human embryonic stem cell-derived cardiomyocytes, suggesting a pivotal role in postnatal heart development and disease.

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 prepared a humanized CXCL12 antibody for alopecia areata treatment, finding it significantly delayed disease onset in mice and reduced immune cell activation, suggesting potential as an immune modulatory therapy.

This study investigated single-cell changes in photoaged skin, revealing distinct cell clusters and increased activity in PD-L1 and PD-1 pathways in sun-exposed areas, enhancing understanding of UVA-induced skin damage and potential prevention targets for photoaging and UV-induced skin cancers.

This study used single-cell ATAC sequencing to map chromatin accessibility in developing mouse hair follicles, offering insights into the transcriptional regulation and epigenetic mechanisms underlying hair follicle development.

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 study used cashmere goats to reveal distinct intermediate states of dermal papilla cells, each with specific roles in hair growth, shedding, and regeneration.

This review discusses advanced techniques for investigating stem cell fate at the single-cell level, including lineage tracing, time-lapse imaging, and molecular profiling, but reports no new research results.

In this study, researchers identified six novel prognostic biomarkers for bladder cancer and developed a predictive model that effectively stratifies patients into high-risk and low-risk groups based on immune cell infiltration differences and gene expression.

This study examined the molecular communication in psoriasis cells, highlighting unique immune cell interactions and identifying new features of the hair follicle cell-psoriasis axis. It suggests the potential for targeted therapies at the single-cell level to improve psoriasis treatment.

This study found that 62 plasma proteins are significantly associated with the risk of obstructive sleep apnea, offering potential targets for new therapeutic strategies.

This study found that monocytes/macrophages with a pro-inflammatory M1-like phenotype may play a crucial role in the pathogenesis of hidradenitis suppurativa, suggesting potential therapeutic targets.

This review highlights advancements in applying single-cell sequencing to cattle, sheep, and goats, noting its potential to elucidate cellular diversity and improve traits affecting livestock health and productivity, despite challenges in cell population annotation and spatial resolution in these species.

This research detailed a single-cell atlas showing dynamic hair follicle stem cell states associated with the hair cycle during aging in mice, highlighting differences in chromatin landscape linked to stem cell differentiation and quiescence, and providing a foundation for future exploration of aging reversal.

This review summarizes how single-cell omics technologies have advanced understanding of cellular regulatory programs in sheep and goats, but highlights limitations in genomic annotation and integration with population genetics for molecular breeding.

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.

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

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.

Ancestry affects skin healing, with non-Hispanic Black patients showing more healing-related fibroblasts than White patients.

Highly active but fewer CD14+CD16- monocytes are found in Alopecia Areata patients, regardless of severity.

This study identifies novel subpopulations of human epidermal melanocytes and specific transcriptional programs that differ from model organisms, providing insights into melanoma dedifferentiation.

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.

This study identified highly variable genes in mesenchymal stem/stromal cells that are linked to classic functions like development and inflammation response, suggesting their potential as markers for further potency studies.