Label and Label-Free Detection Techniques for Protein Microarrays.

Amir Syahir, Kenji Usui, Kin-Ya Tomizaki, Kotaro Kajikawa, Hisakazu Mihara
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引用次数: 145

Abstract

Protein microarray technology has gone through numerous innovative developments in recent decades. In this review, we focus on the development of protein detection methods embedded in the technology. Early microarrays utilized useful chromophores and versatile biochemical techniques dominated by high-throughput illumination. Recently, the realization of label-free techniques has been greatly advanced by the combination of knowledge in material sciences, computational design and nanofabrication. These rapidly advancing techniques aim to provide data without the intervention of label molecules. Here, we present a brief overview of this remarkable innovation from the perspectives of label and label-free techniques in transducing nano‑biological events.

Abstract Image

Abstract Image

蛋白质微阵列的标签和无标签检测技术。
近几十年来,蛋白质微阵列技术经历了许多创新发展。在这篇综述中,我们重点介绍了蛋白质检测方法嵌入技术的发展。早期的微阵列利用有用的发色团和以高通量照明为主的多功能生化技术。近年来,材料科学、计算设计和纳米制造的结合极大地推动了无标签技术的实现。这些快速发展的技术旨在在没有标记分子干预的情况下提供数据。在这里,我们从标签和无标签技术转导纳米生物事件的角度简要概述了这一显著的创新。
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来源期刊
自引率
0.00%
发文量
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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