微阵列在被忽视的热带病中的潜力和缺陷:对人类丝虫病感染的关注。

Alexander Kwarteng, Samuel Terkper Ahuno
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引用次数: 3

摘要

从表达微阵列获得的数据可以更深入地了解传染病的分子特征。与主要关注单个基因或蛋白质的传统诊断方法相比,它提供了关于感染如何影响在各种感染状态下转录活跃的基因表达谱、途径和网络聚类的快速准确信息。因此,微阵列技术在理解与丝虫病感染相关的宿主-寄生虫相互作用方面具有优势。更重要的是,这些技术的使用可以帮助诊断,并有助于将当前的基因组研究转化为对丝虫病感染的有效治疗和干预措施。通过微阵列研究感染后的免疫反应可以深入了解遗传途径和网络,从而对抗寄生虫疫苗的开发产生深远的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Potentials and Pitfalls of Microarrays in Neglected Tropical Diseases: A Focus on Human Filarial Infections.

The Potentials and Pitfalls of Microarrays in Neglected Tropical Diseases: A Focus on Human Filarial Infections.

The Potentials and Pitfalls of Microarrays in Neglected Tropical Diseases: A Focus on Human Filarial Infections.

The Potentials and Pitfalls of Microarrays in Neglected Tropical Diseases: A Focus on Human Filarial Infections.

Data obtained from expression microarrays enables deeper understanding of the molecular signatures of infectious diseases. It provides rapid and accurate information on how infections affect the clustering of gene expression profiles, pathways and networks that are transcriptionally active during various infection states compared to conventional diagnostic methods, which primarily focus on single genes or proteins. Thus, microarray technologies offer advantages in understanding host-parasite interactions associated with filarial infections. More importantly, the use of these technologies can aid diagnostics and helps translate current genomic research into effective treatment and interventions for filarial infections. Studying immune responses via microarray following infection can yield insight into genetic pathways and networks that can have a profound influence on the development of anti-parasitic vaccines.

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来源期刊
自引率
0.00%
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0
审稿时长
11 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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