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Secretomics to Discover Regulators in Diseases

Secretory proteins play important roles in the cross-talk of individual functional units, including cells. Since secretory proteins are essential for signal transduction, they are closely related with disease development, including metabolic and neural diseases. In metabolic diseases, adipokines, my...

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Detalles Bibliográficos
Autores principales: Song, Parkyong, Kwon, Yonghoon, Joo, Jae-Yeol, Kim, Do-Geun, Yoon, Jong Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720857/
https://www.ncbi.nlm.nih.gov/pubmed/31405033
http://dx.doi.org/10.3390/ijms20163893
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author Song, Parkyong
Kwon, Yonghoon
Joo, Jae-Yeol
Kim, Do-Geun
Yoon, Jong Hyuk
author_facet Song, Parkyong
Kwon, Yonghoon
Joo, Jae-Yeol
Kim, Do-Geun
Yoon, Jong Hyuk
author_sort Song, Parkyong
collection PubMed
description Secretory proteins play important roles in the cross-talk of individual functional units, including cells. Since secretory proteins are essential for signal transduction, they are closely related with disease development, including metabolic and neural diseases. In metabolic diseases, adipokines, myokines, and hepatokines are secreted from respective organs under specific environmental conditions, and play roles in glucose homeostasis, angiogenesis, and inflammation. In neural diseases, astrocytes and microglia cells secrete cytokines and chemokines that play roles in neurotoxic and neuroprotective responses. Mass spectrometry-based secretome profiling is a powerful strategy to identify and characterize secretory proteins. This strategy involves stepwise processes such as the collection of conditioned medium (CM) containing secretome proteins and concentration of the CM, peptide preparation, mass analysis, database search, and filtering of secretory proteins; each step requires certain conditions to obtain reliable results. Proteomic analysis of extracellular vesicles has become a new research focus for understanding the additional extracellular functions of intracellular proteins. Here, we provide a review of the insights obtained from secretome analyses with regard to disease mechanisms, and highlight the future prospects of this technology. Continued research in this field is expected to provide valuable information on cell-to-cell communication and uncover new pathological mechanisms.
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spelling pubmed-67208572019-09-10 Secretomics to Discover Regulators in Diseases Song, Parkyong Kwon, Yonghoon Joo, Jae-Yeol Kim, Do-Geun Yoon, Jong Hyuk Int J Mol Sci Review Secretory proteins play important roles in the cross-talk of individual functional units, including cells. Since secretory proteins are essential for signal transduction, they are closely related with disease development, including metabolic and neural diseases. In metabolic diseases, adipokines, myokines, and hepatokines are secreted from respective organs under specific environmental conditions, and play roles in glucose homeostasis, angiogenesis, and inflammation. In neural diseases, astrocytes and microglia cells secrete cytokines and chemokines that play roles in neurotoxic and neuroprotective responses. Mass spectrometry-based secretome profiling is a powerful strategy to identify and characterize secretory proteins. This strategy involves stepwise processes such as the collection of conditioned medium (CM) containing secretome proteins and concentration of the CM, peptide preparation, mass analysis, database search, and filtering of secretory proteins; each step requires certain conditions to obtain reliable results. Proteomic analysis of extracellular vesicles has become a new research focus for understanding the additional extracellular functions of intracellular proteins. Here, we provide a review of the insights obtained from secretome analyses with regard to disease mechanisms, and highlight the future prospects of this technology. Continued research in this field is expected to provide valuable information on cell-to-cell communication and uncover new pathological mechanisms. MDPI 2019-08-09 /pmc/articles/PMC6720857/ /pubmed/31405033 http://dx.doi.org/10.3390/ijms20163893 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Song, Parkyong
Kwon, Yonghoon
Joo, Jae-Yeol
Kim, Do-Geun
Yoon, Jong Hyuk
Secretomics to Discover Regulators in Diseases
title Secretomics to Discover Regulators in Diseases
title_full Secretomics to Discover Regulators in Diseases
title_fullStr Secretomics to Discover Regulators in Diseases
title_full_unstemmed Secretomics to Discover Regulators in Diseases
title_short Secretomics to Discover Regulators in Diseases
title_sort secretomics to discover regulators in diseases
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720857/
https://www.ncbi.nlm.nih.gov/pubmed/31405033
http://dx.doi.org/10.3390/ijms20163893
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