title: [Advances in high-throughput transcriptome research of traditional Chinese medicines].
abstract: Traditional Chinese medicine is a treasure of Chinese culture, absorbing the wisdom of the Chinese people. Continuous application of new technologies makes traditional Chinese medicine research advance with the times. After several years of development, high-throughput transcriptome study has become a mature research tool in biology. This paper reviewed the advances in medicine transcriptome study, and compared two sequencing platforms, Roche's GS FLX platform and Illumina's HiSeq 2000 platform. Moreover, this paper introduced medicine transcriptome analysis process, with Panax quinquefolius and Lonicera japonica for examples, showing the characteristics of traditional Chinese medicine transcriptome studies. High-throughput transcriptome studies facilitate traditional Chinese medicine research with overall understand of functional genes, give clear elucidation of metabolic pathways, lay molecular foundation for the traditional Chinese medicine research and offer modern interpretation for traditional Chinese medicine theory. However, the current study faces several difficulties, including weak molecular basis, high sequencing cost and staff shortages in data anaysis. In the future, with the development in sequencing technology, the combination of transcriptome and other genomics, such as proteome and metabolome, will lay a solid foundation for the new high-throughput screening and developing model for the traditional Chinese medicine industry.
authors.forename: Zhao-Bao
authors.initials: ZB
authors.lastname: Zhang
authors.forename: Lin
authors.initials: L
authors.lastname: Hou
authors.forename: Qing
authors.initials: Q
authors.lastname: Pan
authors.forename: Xu-Min
authors.initials: XM
authors.lastname: Wang
authors.forename: Qing-Hua
authors.initials: QH
authors.lastname: Cui
authors.forename: Jing-Zhen
authors.initials: JZ
authors.lastname: Tian
authors.forename: Lu-Yu
authors.initials: LY
authors.lastname: Ma
mesh_terms: D035843:Biomedical Research / Q000379:methods* / Q000639:trends; D005544:Forecasting; D020869:Gene Expression Profiling / Q000379:methods*; D018506:Gene Expression Regulation, Plant; D006801:Humans; D031239:Lonicera / Q000235:genetics; D008516:Medicine, Chinese Traditional / Q000379:methods* / Q000639:trends; D005894:Panax / Q000235:genetics; D008517:Phytotherapy / Q000379:methods* / Q000639:trends; D059467:Transcriptome / Q000235:genetics