蛋白质组学能成为未来阐明罕见神经退行性疾病机制的有用工具吗?

Q2 Biochemistry, Genetics and Molecular Biology
High-Throughput Pub Date : 2018-01-10 DOI:10.3390/ht7010002
Maddalena Cagnone, Anna Bardoni, Paolo Iadarola, Simona Viglio
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引用次数: 4

摘要

罕见的神经退行性疾病的临床特征常常与其他更常见的临床障碍重叠。因此,不仅这些疾病的真实发病率被低估了,而且许多患者在得到明确诊断之前也经历了严重的延误。在这种情况下,很明显,任何产生这些疾病病理机制信息的准确工具,都将通过强有力地加强对症状的解释,为它们的精确识别提供一个新的背景。随着蛋白质组学的出现,检测和鉴定不同器官/组织中的蛋白质,旨在了解它们是否代表监测这些区域变化的有吸引力的工具,已成为一个越来越感兴趣的领域。本报告的目的是概述蛋白质组学作为鉴定生物标志物的新策略在罕见神经退行性疾病研究中的临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Could Proteomics Become a Future Useful Tool to Shed Light on the Mechanisms of Rare Neurodegenerative Disorders?

Could Proteomics Become a Future Useful Tool to Shed Light on the Mechanisms of Rare Neurodegenerative Disorders?

Very often the clinical features of rare neurodegenerative disorders overlap with those of other, more common clinical disturbances. As a consequence, not only the true incidence of these disorders is underestimated, but many patients also experience a significant delay before a definitive diagnosis. Under this scenario, it appears clear that any accurate tool producing information about the pathological mechanisms of these disorders would offer a novel context for their precise identification by strongly enhancing the interpretation of symptoms. With the advent of proteomics, detection and identification of proteins in different organs/tissues, aimed at understanding whether they represent an attractive tool for monitoring alterations in these districts, has become an area of increasing interest. The aim of this report is to provide an overview of the most recent applications of proteomics as a new strategy for identifying biomarkers with a clinical utility for the investigation of rare neurodegenerative disorders.

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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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