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An Optimized Tissue Dissociation Protocol for Single-Cell RNA Sequencing Analysis of Fresh and Cultured Human Skin Biopsies.
Burja, Blaz; Paul, Dominique; Tastanova, Aizhan; Edalat, Sam G; Gerber, Reto; Houtman, Miranda; Elhai, Muriel; Bürki, Kristina; Staeger, Ramon; Restivo, Gaetana; Lang, Ramon; Sodin-Semrl, Snezna; Lakota, Katja; Tomsic, Matija; Levesque, Mitchell P; Distler, Oliver; Rotar, Ziga; Robinson, Mark D; Frank-Bertoncelj, Mojca.
Afiliação
  • Burja B; Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Paul D; Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
  • Tastanova A; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Edalat SG; Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.
  • Gerber R; Department of Dermatology, University of Zurich, University Hospital Zurich, Schlieren, Switzerland.
  • Houtman M; Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Elhai M; Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Bürki K; Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.
  • Staeger R; Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Restivo G; Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Lang R; Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Sodin-Semrl S; Department of Dermatology, University of Zurich, University Hospital Zurich, Schlieren, Switzerland.
  • Lakota K; Department of Dermatology, University of Zurich, University Hospital Zurich, Schlieren, Switzerland.
  • Tomsic M; Department of Dermatology, University of Zurich, University Hospital Zurich, Schlieren, Switzerland.
  • Levesque MP; Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
  • Distler O; Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
  • Rotar Z; Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
  • Robinson MD; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Frank-Bertoncelj M; Department of Dermatology, University of Zurich, University Hospital Zurich, Schlieren, Switzerland.
Front Cell Dev Biol ; 10: 872688, 2022.
Article em En | MEDLINE | ID: mdl-35573685
ABSTRACT
We present an optimized dissociation protocol for preparing high-quality skin cell suspensions for in-depth single-cell RNA-sequencing (scRNA-seq) analysis of fresh and cultured human skin. Our protocol enabled the isolation of a consistently high number of highly viable skin cells from small freshly dissociated punch skin biopsies, which we use for scRNA-seq studies. We recapitulated not only the main cell populations of existing single-cell skin atlases, but also identified rare cell populations, such as mast cells. Furthermore, we effectively isolated highly viable single cells from ex vivo cultured skin biopsy fragments and generated a global single-cell map of the explanted human skin. The quality metrics of the generated scRNA-seq datasets were comparable between freshly dissociated and cultured skin. Overall, by enabling efficient cell isolation and comprehensive cell mapping, our skin dissociation-scRNA-seq workflow can greatly facilitate scRNA-seq discoveries across diverse human skin pathologies and ex vivo skin explant experimentations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article