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通过EST分析解析植物代谢

Unraveling plant metabolism by EST analysis.

作者信息

Ohlrogge J, Benning C

机构信息

Department of Botany and Plant Pathology, Michigan State University, East Lansing 48823, USA.

出版信息

Curr Opin Plant Biol. 2000 Jun;3(3):224-8.

PMID:10837264
Abstract

Large-scale single-pass sequencing of cDNAs prepared from specific plant species or tissues has evolved as an inexpensive and efficient gene-discovery tool that can be used to identify novel cDNAs encoding enzymes of specific plant metabolic pathways. Collections of expressed sequence tags from metabolically active tissues can provide quantitative estimates of gene expression levels and thus are being exploited to unravel plant metabolic and regulatory networks.

摘要

对从特定植物物种或组织制备的cDNA进行大规模单通道测序,已发展成为一种廉价且高效的基因发现工具,可用于鉴定编码特定植物代谢途径中酶的新cDNA。来自代谢活跃组织的表达序列标签集合可以提供基因表达水平的定量估计,因此正被用于揭示植物代谢和调控网络。

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