116 citations
,
April 2020 in “Stem Cell Research & Therapy” 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.
23 citations
,
July 2023 in “Proceedings of the National Academy of Sciences” In this study using a mouse model and human data, researchers found that CD8+ T cells are central to driving alopecia areata, while regulatory T cells offer some protection, highlighting CD8+ T cells as key targets for future therapy development.
22 citations
,
August 2021 in “Frontiers in medicine” 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.
8 citations
,
December 2022 in “BMC Genomics” 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.
7 citations
,
October 2024 in “Frontiers in Immunology” 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.
6 citations
,
October 2024 in “International Journal of Dermatology” In this study, researchers conducted single-cell RNA sequencing to reveal that proinflammatory fibroblasts and vascular endothelial cells play significant roles in the immune microenvironment of keloids, suggesting potential targets for new therapeutic approaches.
January 2026 in “International journal of high school research” 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 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.
July 2025 in “The FASEB Journal” This study reported that exosomes derived from human amniotic mesenchymal stem cells (hAMSC-exo) accelerated hair growth in androgenetic alopecia mice by enhancing signals between hair follicle cells and improving cellular environments, particularly protecting against dihydrotestosterone-induced damage via Wnt/β-catenin signaling.
July 2024 in “Journal of Investigative Dermatology” Mechanical tension worsens keloid scars by activating inflammation and fibrosis pathways.
April 2024 in “Pigment cell & melanoma research” 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.
December 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” 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.
November 2023 in “Zenodo (CERN European Organization for Nuclear Research)” In this study, Almet et al. (2023) compiled integrated single-cell RNA sequencing data from multiple mouse datasets to investigate how fibroblasts evolve during wound healing by examining changes in the extracellular matrix and signaling pathways.
November 2023 in “Zenodo (CERN European Organization for Nuclear Research)” This study does not report results but provides integrated single-cell RNA sequencing data from multiple mouse wound healing models, offering resources for studying fibroblast-driven changes in the extracellular matrix and signaling during the healing process.
November 2023 in “Journal of Investigative Dermatology” 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.
April 2023 in “Journal of Investigative Dermatology” 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.
April 2023 in “The journal of investigative dermatology/Journal of investigative dermatology” 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.
April 2017 in “Journal of Investigative Dermatology” 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.
November 2025 in “Wound Repair and Regeneration” This review highlights single-cell sequencing's role in understanding macrophages' diverse functions and subtypes in skin wound healing, emphasizing macrophages' importance in tissue restoration and identifying key genes involved in the process.
July 2024 in “Journal of Investigative Dermatology” This study found that in mice with alopecia areata, CD8+ T cells showed clonal expansion and specific regulatory networks, which might help identify new therapeutic targets for patients not responding to JAK inhibitors.
November 2023 in “Journal of Investigative Dermatology” Highly active but fewer CD14+CD16- monocytes are found in Alopecia Areata patients, regardless of severity.
July 2023 in “British journal of dermatology/British journal of dermatology, Supplement” This study investigated age-related changes in female scalp dermal fibroblasts, finding alterations in gene and protein expressions associated with fibrosis and senescence, which could potentially affect hair follicle health and contribute to aging-related hair changes.
April 2023 in “Journal of Investigative Dermatology” 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.
July 2024 in “Journal of Investigative Dermatology” May 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” This study reported the first comprehensive transcriptome atlas of the extraorbital lacrimal gland in mice, identifying over 41 cell subclasses and revealing significant cell-cell communication networks, particularly among innate lymphoid cells.
July 2025 in “International Journal of Molecular Sciences” This study found that blocking the chemokine CXCL12 in a testosterone-induced mouse model of androgenetic alopecia restored hair regeneration and reduced fibrosis and immune alterations.
14 citations
,
July 2021 in “Bioinformatics” 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.
May 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” 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 found that 62 plasma proteins are significantly associated with the risk of obstructive sleep apnea, offering potential targets for new therapeutic strategies.