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Torocsik, D.

Publications and source records attributed to Torocsik, D..

2 recordsLinked to original sources

Unraveling the Comedone Switch through Single-Cell Resolution of Human Acne Lesions

Acne vulgaris is one of the most prevalent inflammatory skin diseases worldwide, yet the molecular events initiating comedogenesis remain poorly understood. The comedone switch hypothesis proposes that acne originates from an imbalance in lineage commitment within the junctional zone of the pilosebaceous unit, promoting infundibular differentiation at the expense of sebaceous gland maintenance. However, direct evidence from human acne tissue at single-cell resolution has been lacking. Here, we integrated single-cell transcriptomic datasets from healthy skin, non-lesional skin of acne patients, and lesional acne tissue to reconstruct the earliest stages of comedogenesis. We identified a previously uncharacterized cell population in non-lesional skin with transcriptomic features consistent with a microcomedone and mapped this population across independent datasets to reconstruct the transcriptional comedone architecture. Comedonal remodeling was characterized by enhanced keratinization and inflammatory programs. Quantitative analyses supported a shift from sebaceous toward infundibular cell fate, providing first data-driven evidence for the comedone switch hypothesis in human acne. Beyond the pilosebaceous unit, we identified broader epithelial alterations, including loss of POSTN and ERRFI1 expression in basal interfollicular epidermal keratinocytes. Together, these findings provide a cell-resolved framework for human comedogenesis and identify candidate mechanisms linking genetic susceptibility, environmental triggers, and lineage imbalance within the upper hair follicle.

bioinformatics↗

Development of an Integrated Single-Cell and Spatial Transcriptomics Atlas of Healthy Human Skin Focusing on the Pilosebaceous Unit

Single-cell and spatial transcriptomics have transformed our ability to chart human tissue organization at unprecedented resolution. These technologies enable the construction of high-quality reference atlases, essential for mapping healthy tissue architecture and identifying robust gene markers. We developed the healthy Human Skin Cell Atlas (HSCA), systematically integrating 34 public datasets and totaling 821,464 cells, with curated metadata and harmonized cell type nomenclature to ensure consistency. We place particular emphasis on the pilosebaceous unit, a key epithelial structure critical for both homeostasis and pathology. While prior studies captured the interfollicular epidermis and immune landscape in detail, deeper hair follicle regions remained under-characterized. By leveraging high-resolution spatial transcriptomics (Visium HD), we spatially resolved and transcriptionally defined the lower hair follicle compartments and pinpointed signalling hubs. Furthermore, the HSCA enables the detection of cell types not visible in standalone datasets, such as Merkel cells. Our results illustrate the value of the integrated single-cell atlas and spatial data in refining tissue organization and highlight the PSU as a complex and diverse epithelial niche.

bioinformatics↗