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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

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Microarrays 2015, 4(4), 454-473; doi:10.3390/microarrays4040454

Genomic-Wide Analysis with Microarrays in Human Oncology

Department of Surgery, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya 464-8651, Japan
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Author to whom correspondence should be addressed.
Academic Editor: Massimo Negrini
Received: 24 July 2015 / Revised: 8 October 2015 / Accepted: 13 October 2015 / Published: 16 October 2015
(This article belongs to the Special Issue Diagnostic, Prognostic and Predictive Cancer Biomarkers)
View Full-Text   |   Download PDF [921 KB, uploaded 16 October 2015]

Abstract

DNA microarray technologies have advanced rapidly and had a profound impact on examining gene expression on a genomic scale in research. This review discusses the history and development of microarray and DNA chip devices, and specific microarrays are described along with their methods and applications. In particular, microarrays have detected many novel cancer-related genes by comparing cancer tissues and non-cancerous tissues in oncological research. Recently, new methods have been in development, such as the double-combination array and triple-combination array, which allow more effective analysis of gene expression and epigenetic changes. Analysis of gene expression alterations in precancerous regions compared with normal regions and array analysis in drug-resistance cancer tissues are also successfully performed. Compared with next-generation sequencing, a similar method of genome analysis, several important differences distinguish these techniques and their applications. Development of novel microarray technologies is expected to contribute to further cancer research. View Full-Text
Keywords: microarray; gene expression; combination array microarray; gene expression; combination array
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Inaoka, K.; Inokawa, Y.; Nomoto, S. Genomic-Wide Analysis with Microarrays in Human Oncology. Microarrays 2015, 4, 454-473.

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