Ruqayya Afridi, Won-Ha Lee, Jong-Heon Kim, Kyoungho Suk
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引用次数: 0
Abstract
Introduction: Astrocytes are the most abundant cell type in the central nervous system (CNS). They play a pivotal role in supporting neuronal function and maintaining homeostasis by releasing a variety of bioactive proteins, collectively known as the astrocyte secretome. Investigating secretome provides insights into the molecular mechanisms underlying astrocyte function and dysfunction, as well as novel strategies to prevent and treat diseases affecting the CNS.
Areas covered: Proteomics databases are a valuable resource for studying the role of astrocytes in healthy and diseased brain function, as they provide information about gene expression, protein expression, and cellular function. In this review, we discuss existing databases that are useful for astrocyte secretome research.
Expert opinion: Astrocyte secretomics is a field that is rapidly progressing, yet the availability of dedicated databases is currently limited. To meet the increasing demand for comprehensive omics data in glia research, developing databases specifically focused on astrocyte secretome is crucial. Such databases would allow researchers to investigate the intricate molecular landscape of astrocytes and comprehend their involvement in diverse physiological and pathological processes. Expanding resources through the development of databases dedicated to the astrocyte secretome may facilitate further advancements in this field.
期刊介绍:
Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease.
The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery.
The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections:
Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale
Article highlights - an executive summary cutting to the author''s most critical points.