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微阵列平台——比较与对比

Microarray platforms--comparisons and contrasts.

作者信息

Hardiman Gary

机构信息

Biomedical Genomics Microarray Facility and Department of Medicine, University of California San Diego, La Jolla, CA 92093-0349, USA. ghardiman @ucsd.edu

出版信息

Pharmacogenomics. 2004 Jul;5(5):487-502. doi: 10.1517/14622416.5.5.487.

Abstract

In the relatively few years since their inception, DNA microarrays and Affymetrix GeneChips have gained increasing use and acceptance in the study of genetic and cellular processes. This is evident from the rising number of published literature citing microarrays each year. With time, gene chips and microarrays have matured into complex technologies as biologists have teamed with applied mathematicians and statisticians to increase the rigor of experimentation and address the problems associated with the manipulation of large data sets. Several complementary microarray technologies for measuring gene expression are now routinely employed. This review will discuss the similarities and differences among these technologies and cover recent efforts to integrate data from cross-platform comparative studies.

摘要

自DNA微阵列和Affymetrix基因芯片问世以来的相对较短时间内,它们在遗传和细胞过程研究中的应用和认可度不断提高。这从每年引用微阵列的已发表文献数量不断增加中可见一斑。随着时间的推移,基因芯片和微阵列已发展成为复杂的技术,因为生物学家与应用数学家和统计学家合作,以提高实验的严谨性并解决与处理大数据集相关的问题。现在常规使用几种用于测量基因表达的互补微阵列技术。本综述将讨论这些技术之间的异同,并涵盖整合来自跨平台比较研究数据的最新努力。

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