Dataset Information

A Systems biology approach for defining the potential molecular framework of hypereosinophilic syndrome with cutaneous involvement

ABSTRACT: Hypereosinophilic syndrome (HES) is a rare multisystem disease that predominantly includes skin with severe and persistent itching. A lack of understanding about the pathological condition and mechanism of dermatosis caused by HES hinders its treatment. In the present study, we applied a quantitative proteomics approach to characterize the cellular responses of skin tissue to HES at the proteome level. We identified hundreds of skin tissue proteins that were differentially expressed between HES patients and healthy individuals. HES patients display severely damaged microenvironment, including extracellular matrix (ECM) organization and disassembly, immune disorders, decreased metabolic capacity, and susceptibility to microbial infection. Moreover, there was abnormal proliferation of basal epidermal stem cells, which was closely related to high expression of the epigenetic regulator, histone deacetylase 2, providing mechanistic insight into the abnormal epidermal thickening of HES skin tissues. Overall, our study provides a comprehensive framework for a system-level understanding of HES-induced dermatosis tissues at the protein and cell pathway levels. Our findings may facilitate a new approach to diagnosis and treatment to alleviate skin clinical symptoms, monitor the activity of HES, and determine therapeutic effects.

ORGANISM(S): Homo Sapiens

SUBMITTER: Ling Leng

PROVIDER: PXD015450 | iProX | Tue Feb 18 00:00:00 GMT 2020

REPOSITORIES: iProX

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A systems biology approach for defining the potential molecular framework of idiopathic hypereosinophilic syndrome with cutaneous involvement.

Wang Wenjuan W Ma Jie J Sun Xuer X Ba Wei W Meng Xianfu X Zhu Yunping Y Leng Ling L Li Chengxin C

Biochemical and biophysical research communications 20200201 3

Hypereosinophilic syndrome (HES) is a rare multisystem disease that predominantly includes skin with severe and persistent itching. A lack of understanding about the pathological condition and mechanism of dermatosis caused by HES hinders its treatment. In the present study, we applied a quantitative proteomics approach to characterize the cellular responses of skin tissue to idiopathic HES (IHES) at the proteome level. We identified hundreds of skin tissue proteins that were differentially expr ...[more]

PMID: 32019674

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Project description:Uhlén2015 - Human tissue-based proteome metabolic network - skin Human skin specific proteome metabolic network This model is described in the article: Tissue-based map of the human proteome Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F. Science 2015 January; 347(6220) Abstract: Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray–based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. This model is hosted on BioModels Database and identified by: MODEL1411240022. To cite BioModels Database, please use: BioModels: ten-year anniversary . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

A Systems biology approach for defining the potential molecular framework of hypereosinophilic syndrome with cutaneous involvement

Publications

A systems biology approach for defining the potential molecular framework of idiopathic hypereosinophilic syndrome with cutaneous involvement.

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