Unknown

Dataset Information

0

Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases.


ABSTRACT: 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.

SUBMITTER: Wu J 

PROVIDER: S-EPMC8586455 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

Maximizing the Utility of Transcriptomics Data in Inflammatory Skin Diseases.

Wu Jingni J   Fang Zhixiao Z   Liu Teng T   Hu Wei W   Wu Yangjun Y   Li Shengli S  

Frontiers in immunology 20211029


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  ...[more]

Similar Datasets

2022-11-14 | GSE206391 | GEO
| S-EPMC7007415 | biostudies-literature
2024-06-20 | GSE154200 | GEO
| PRJNA850422 | ENA
| S-EPMC5911619 | biostudies-literature
| PRJNA645411 | ENA
| S-EPMC8292898 | biostudies-literature
| S-EPMC6697022 | biostudies-literature
| S-EPMC10136243 | biostudies-literature
| S-EPMC8847733 | biostudies-literature