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This review highlights how single-cell transcriptomics has advanced understanding of tissue regeneration by revealing cellular diversity and key molecular interactions in animal models, despite methodological challenges, suggesting future applications in developing targeted regenerative therapies.

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 mapped a detailed genetic profile of goat hair follicle apoptosis, identifying key genes and regulatory factors involved in the hair cycle, offering new insights into programmed cell death.

This study identified distinct gene expression programs in keratinocytes responsible for forming hard scales and soft interscale epidermis in chickens, revealing conserved differentiation genes similar to those in human skin.

This study explored peripheral blood immune dysregulation in alopecia areata through single-cell analyses, identifying systemic changes linked to disease severity and key signaling roles for monocytes, NK cells, and memory T cells, suggesting potential therapeutic targets.

This study revealed that BMP5 in onychofibroblasts may play a key role in the differentiation of nail matrix keratinocytes, highlighting transcriptional similarities between nail and hair structures.

This study reported significant transcriptomic changes in keratinocyte and immune cell populations in a mouse model with EGFR-deficient epidermis, suggesting possible targets for mitigating adverse skin events in EGFR-targeted cancer therapy.

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 study identified a proliferative intermediate transcriptional state associated with the transition from secondary hair germ cells to lower hair follicle-associated cells during early hair follicle regeneration in mice.

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.

Alopecia totalis/universalis involves more intense immune activity and inflammation than patchy alopecia areata.

This study combined spatial and single-cell transcriptomics to identify that hypercontractility of the connective tissue sheath activates PIEZO1 in hair follicles, leading to miniaturization in male androgenetic alopecia, and found that inhibiting this contraction improves hair growth in models.

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 study investigated the molecular mechanisms of hair follicle morphogenesis in Ordos fine-wool sheep, identifying differential genes related to primary and secondary hair follicles, and providing important insights for improving wool quality and breeding strategies.

This study found that Lgr5 and Lgr6 stem cells both activated wound-healing genes, but only Lgr5 stem cells changed their identity to contribute to new skin formation during wound repair.

This study revealed gene expression patterns in yak hair follicles during different growth phases, enhancing the understanding of cell fate specialization and providing insights for yak villus development.

This study provided a detailed molecular profile of Cashmere goat hair follicle development using single-cell RNA sequencing, revealing unique cell populations and conserved developmental programs compared to mouse models.

Specific immune cells and pathways contribute to hair follicle inflammation and hair loss, suggesting potential treatments for lichen planopilaris.

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

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

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 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 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 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 introduces scINSIGHT, a method that showed improved performance over existing approaches in identifying gene expression patterns and cellular processes in heterogeneous scRNA-seq datasets from different biological conditions.

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.