Evaluation of Solid Supports for Slide- and Well-Based Recombinant Antibody Microarrays.

Anna S Gerdtsson, Linda Dexlin-Mellby, Payam Delfani, Erica Berglund, Carl A K Borrebaeck, Christer Wingren
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引用次数: 12

Abstract

Antibody microarrays have emerged as an important tool within proteomics, enabling multiplexed protein expression profiling in both health and disease. The design and performance of antibody microarrays and how they are processed are dependent on several factors, of which the interplay between the antibodies and the solid surfaces plays a central role. In this study, we have taken on the first comprehensive view and evaluated the overall impact of solid surfaces on the recombinant antibody microarray design. The results clearly demonstrated the importance of the surface-antibody interaction and showed the effect of the solid supports on the printing process, the array format of planar arrays (slide- and well-based), the assay performance (spot features, reproducibility, specificity and sensitivity) and assay processing (degree of automation). In the end, two high-end recombinant antibody microarray technology platforms were designed, based on slide-based (black polymer) and well-based (clear polymer) arrays, paving the way for future large-scale protein expression profiling efforts.

Abstract Image

Abstract Image

Abstract Image

载玻片和孔基重组抗体微阵列固体载体的评价。
抗体微阵列已经成为蛋白质组学的一个重要工具,可以在健康和疾病中实现多重蛋白质表达谱。抗体微阵列的设计和性能以及它们的处理方式取决于几个因素,其中抗体和固体表面之间的相互作用起着核心作用。在这项研究中,我们采取了第一个全面的观点,并评估了固体表面对重组抗体微阵列设计的总体影响。结果清楚地表明了表面抗体相互作用的重要性,并显示了固体载体对打印过程、平面阵列阵列格式(载玻片和井基)、检测性能(斑点特征、再现性、特异性和灵敏度)和检测处理(自动化程度)的影响。最后,基于载玻片(黑色聚合物)和良好基(透明聚合物)阵列,设计了两个高端重组抗体微阵列技术平台,为未来大规模蛋白质表达谱研究铺平了道路。
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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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