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Single-cell transcriptomics in dermatology

The skin is an ecosystem composed of specialized cell types that work together to serve as a physical protective barrier. Single-cell resolution is therefore essential to deconvolve skin's heterogeneity by identifying novel, distinct cell subsets in health and disease. Single-cell RNA sequencin...

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Detalles Bibliográficos
Autores principales: Deutsch, Alana, McLellan, Beth N., Shinoda, Kosaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361871/
https://www.ncbi.nlm.nih.gov/pubmed/34409338
http://dx.doi.org/10.1016/j.jdin.2020.08.001
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author Deutsch, Alana
McLellan, Beth N.
Shinoda, Kosaku
author_facet Deutsch, Alana
McLellan, Beth N.
Shinoda, Kosaku
author_sort Deutsch, Alana
collection PubMed
description The skin is an ecosystem composed of specialized cell types that work together to serve as a physical protective barrier. Single-cell resolution is therefore essential to deconvolve skin's heterogeneity by identifying novel, distinct cell subsets in health and disease. Single-cell RNA sequencing is a highly meticulous methodology used to study the distinct transcriptional profiles of each cell within large tissue libraries at uniquely high resolution. The investigative capabilities achieved by this methodology allow previously unattainable analyses, including identification of rare cell populations, evaluation of cell-to-cell variation, and the ability to track trajectories of distinct cell lineages through development. In the past decade, application of transcriptomic analysis to skin biology and dermatology has greatly advanced understanding of homeostatic physiology in the skin, as well as a multitude of dermatologic diseases. Single-cell RNA sequencing offers tremendous promise for identification of novel therapeutic targets in dermatologic diseases, with broad implications of improving therapeutic interventions.
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spelling pubmed-83618712021-08-17 Single-cell transcriptomics in dermatology Deutsch, Alana McLellan, Beth N. Shinoda, Kosaku JAAD Int Original Article The skin is an ecosystem composed of specialized cell types that work together to serve as a physical protective barrier. Single-cell resolution is therefore essential to deconvolve skin's heterogeneity by identifying novel, distinct cell subsets in health and disease. Single-cell RNA sequencing is a highly meticulous methodology used to study the distinct transcriptional profiles of each cell within large tissue libraries at uniquely high resolution. The investigative capabilities achieved by this methodology allow previously unattainable analyses, including identification of rare cell populations, evaluation of cell-to-cell variation, and the ability to track trajectories of distinct cell lineages through development. In the past decade, application of transcriptomic analysis to skin biology and dermatology has greatly advanced understanding of homeostatic physiology in the skin, as well as a multitude of dermatologic diseases. Single-cell RNA sequencing offers tremendous promise for identification of novel therapeutic targets in dermatologic diseases, with broad implications of improving therapeutic interventions. Elsevier 2020-10-06 /pmc/articles/PMC8361871/ /pubmed/34409338 http://dx.doi.org/10.1016/j.jdin.2020.08.001 Text en © 2020 Published by Elsevier on behalf of the American Academy of Dermatology, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Deutsch, Alana
McLellan, Beth N.
Shinoda, Kosaku
Single-cell transcriptomics in dermatology
title Single-cell transcriptomics in dermatology
title_full Single-cell transcriptomics in dermatology
title_fullStr Single-cell transcriptomics in dermatology
title_full_unstemmed Single-cell transcriptomics in dermatology
title_short Single-cell transcriptomics in dermatology
title_sort single-cell transcriptomics in dermatology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361871/
https://www.ncbi.nlm.nih.gov/pubmed/34409338
http://dx.doi.org/10.1016/j.jdin.2020.08.001
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