Literature DB >> 31469014

Proteome microarray technology and application: higher, wider, and deeper.

Huan Qi1, Fei Wang2, Sheng-Ce Tao1.   

Abstract

Introduction: Protein microarray is a powerful tool for both biological study and clinical research. The most useful features of protein microarrays are their miniaturized size (low reagent and sample consumption), high sensitivity and their capability for parallel/high-throughput analysis. The major focus of this review is functional proteome microarray. Areas covered: For proteome microarray, this review will discuss some recently constructed proteome microarrays and new concepts that have been used for constructing proteome microarrays and data interpretation in past few years, such as PAGES, M-NAPPA strategy, VirD technology, and the first protein microarray database. this review will summarize recent proteomic scale applications and address the limitations and future directions of proteome microarray technology. Expert opinion: Proteome microarray is a powerful tool for basic biological and clinical research. It is expected to see improvements in the currently used proteome microarrays and the construction of more proteome microarrays for other species by using traditional strategies or novel concepts. It is anticipated that the maximum number of features on a single microarray and the number of possible applications will be increased, and the information that can be obtained from proteome microarray experiments will more in-depth in the future.

Keywords:  Protein microarray; antibody microarray; proteome microarray

Mesh:

Substances:

Year:  2019        PMID: 31469014     DOI: 10.1080/14789450.2019.1662303

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  3 in total

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Journal:  Comput Math Methods Med       Date:  2022-01-15       Impact factor: 2.238

2.  Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning Analysis.

Authors:  Yu-Chao Sun; Zhen-Zhen Qiu; Fu-Li Wen; Jin-Quan Yin; Hao Zhou
Journal:  J Immunol Res       Date:  2022-04-20       Impact factor: 4.493

Review 3.  Mode-of-Action of Antimicrobial Peptides: Membrane Disruption vs. Intracellular Mechanisms.

Authors:  Aurélie H Benfield; Sónia Troeira Henriques
Journal:  Front Med Technol       Date:  2020-12-11
  3 in total

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