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

Open AccessReview

DNA Microarray‐Based Screening and Characterization of Traditional Chinese Medicine

Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1‐11 Higashi, Tsukuba 305‐8566, Ibaraki, Japan
Microarrays 2017, 6(1), 4;
Received: 16 December 2016 / Accepted: 23 January 2017 / Published: 30 January 2017
(This article belongs to the Special Issue Biochips)
PDF [1303 KB, uploaded 16 February 2017]


The application of DNA microarray assay (DMA) has entered a new era owing to recent innovations in omics technologies. This review summarizes recent applications of DMA‐based gene expression profiling by focusing on the screening and characterizationof traditional Chinese medicine. First, herbs, mushrooms, and dietary plants analyzed by DMA along with their effective components and their biological/physiological effects are summarized and discussed by examining their comprehensive list and a list of representative effective chemicals. Second, the mechanisms of action of traditional Chinese medicine are summarized by examining the genes and pathways responsible for the action, the cell functions involved in the action, and the activities found by DMA (silent estrogens). Third, applications of DMA for traditional Chinese medicine are discussed by examining reported examples and new protocols for its use in quality control. Further innovations in the signaling pathway based evaluation of beneficial effects and the assessment of potential risks of traditional Chinese medicine are expected, just as are observed in other closely related fields, such as the therapeutic, environmental, nutritional, and pharmacological fields. View Full-Text
Keywords: DNA microarray; traditional Chinese medicine; signaling pathway; estrogen; food chemicals DNA microarray; traditional Chinese medicine; signaling pathway; estrogen; food chemicals

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Kiyama, R. DNA Microarray‐Based Screening and Characterization of Traditional Chinese Medicine. Microarrays 2017, 6, 4.

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