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非模式作物中的功能基因组学:转录组学还是蛋白质组学?

Functional genomics in a non-model crop: transcriptomics or proteomics?

作者信息

Carpentier Sebastien Christian, Coemans Bert, Podevin Nancy, Laukens Kris, Witters Erwin, Matsumura Hideo, Terauchi Ryohei, Swennen Rony, Panis Bart

机构信息

Laboratory of Tropical Crop Improvement, Katholieke Universiteit, 3001 Leuven, Belgium.

出版信息

Physiol Plant. 2008 Jun;133(2):117-30. doi: 10.1111/j.1399-3054.2008.01069.x. Epub 2008 Feb 25.

DOI:10.1111/j.1399-3054.2008.01069.x
PMID:18312499
Abstract

There is no question that protein- and RNA-based measurements are complementary, but which approach has the highest return in the case of a non-model crop and what is the correlation between mRNA and proteins? We describe and evaluate in detail the advantages and pitfalls of both a proteomics and a transcriptomics approach. The information on the abundance of transcripts was obtained by serial analysis of gene expression (SAGE), while information on the abundance of proteins was obtained via two-dimensional gel electrophoresis.

摘要

毫无疑问,基于蛋白质和RNA的测量方法是互补的,但对于非模式作物而言,哪种方法的回报最高,以及mRNA与蛋白质之间的相关性如何?我们详细描述并评估了蛋白质组学和转录组学方法的优点与缺陷。转录本丰度信息通过基因表达系列分析(SAGE)获得,而蛋白质丰度信息则通过二维凝胶电泳获得。

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