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Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases
Inflammatory skin diseases are induced by disorders of the host defense system of the skin, which is composed of a barrier, innate and acquired immunity, as well as the cutaneous microbiome. These disorders are characterized by recurrent cutaneous lesions and intense itch, which seriously affecting...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586455/ https://www.ncbi.nlm.nih.gov/pubmed/34777377 http://dx.doi.org/10.3389/fimmu.2021.761890 |
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author | Wu, Jingni Fang, Zhixiao Liu, Teng Hu, Wei Wu, Yangjun Li, Shengli |
author_facet | Wu, Jingni Fang, Zhixiao Liu, Teng Hu, Wei Wu, Yangjun Li, Shengli |
author_sort | Wu, Jingni |
collection | PubMed |
description | Inflammatory skin diseases are induced by disorders of the host defense system of the skin, which is composed of a barrier, innate and acquired immunity, as well as the cutaneous microbiome. These disorders are characterized by recurrent cutaneous lesions and intense itch, which seriously affecting life quality of people across all ages and ethnicities. To elucidate molecular factors for typical inflammatory skin diseases (such as psoriasis and atopic dermatitis), transcriptomic profiling assays have been largely performed. Additionally, single-cell RNA sequencing (scRNA-seq) as well as spatial transcriptomic profiling have revealed multiple potential translational targets and offered guides to improve diagnosis and treatment strategies for inflammatory skin diseases. High-throughput transcriptomics data has shown unprecedented power to disclose the complex pathophysiology of inflammatory skin diseases. Here, we will summarize discoveries from transcriptomics data and discuss how to maximize the transcriptomics data to propel the development of diagnostic biomarkers and therapeutic targets in inflammatory skin diseases. |
format | Online Article Text |
id | pubmed-8586455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85864552021-11-13 Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases Wu, Jingni Fang, Zhixiao Liu, Teng Hu, Wei Wu, Yangjun Li, Shengli Front Immunol Immunology Inflammatory skin diseases are induced by disorders of the host defense system of the skin, which is composed of a barrier, innate and acquired immunity, as well as the cutaneous microbiome. These disorders are characterized by recurrent cutaneous lesions and intense itch, which seriously affecting life quality of people across all ages and ethnicities. To elucidate molecular factors for typical inflammatory skin diseases (such as psoriasis and atopic dermatitis), transcriptomic profiling assays have been largely performed. Additionally, single-cell RNA sequencing (scRNA-seq) as well as spatial transcriptomic profiling have revealed multiple potential translational targets and offered guides to improve diagnosis and treatment strategies for inflammatory skin diseases. High-throughput transcriptomics data has shown unprecedented power to disclose the complex pathophysiology of inflammatory skin diseases. Here, we will summarize discoveries from transcriptomics data and discuss how to maximize the transcriptomics data to propel the development of diagnostic biomarkers and therapeutic targets in inflammatory skin diseases. Frontiers Media S.A. 2021-10-29 /pmc/articles/PMC8586455/ /pubmed/34777377 http://dx.doi.org/10.3389/fimmu.2021.761890 Text en Copyright © 2021 Wu, Fang, Liu, Hu, Wu and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Wu, Jingni Fang, Zhixiao Liu, Teng Hu, Wei Wu, Yangjun Li, Shengli Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases |
title | Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases |
title_full | Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases |
title_fullStr | Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases |
title_full_unstemmed | Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases |
title_short | Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases |
title_sort | maximizing the utility of transcriptomics data in inflammatory skin diseases |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586455/ https://www.ncbi.nlm.nih.gov/pubmed/34777377 http://dx.doi.org/10.3389/fimmu.2021.761890 |
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