Suppr超能文献

用于预测性植物代谢工程的转录因子:我们做到了吗?

Transcription factors for predictive plant metabolic engineering: are we there yet?

作者信息

Grotewold Erich

机构信息

Department of Plant Cellular and Molecular Biology and Plant Biotechnology Center, The Ohio State University, 206 Rightmire Hall, 1060 Carmack Road, Columbus, OH 43210, USA.

出版信息

Curr Opin Biotechnol. 2008 Apr;19(2):138-44. doi: 10.1016/j.copbio.2008.02.002.

Abstract

Transcription factors (TFs) are considered viable alternatives to 'single enzyme' approaches for the manipulation of plant metabolic pathways. Because of the ability to control multiple, if not all steps in a particular metabolic pathway, TFs provide attractive tools for overcoming flux bottlenecks involving multiple enzymatic steps, or for deploying pathway genes in specific organs, cell types or even plants where they normally do not express. The potential of a TF for the predictive manipulation of plant metabolism is intimately linked to understanding how it fits in the gene regulatory organization. The knowledge gained over the past decade on how plant pathways are controlled together with increasing efforts aimed at deciphering the overall architecture of plant gene regulatory networks are starting to realize the potential of TFs for predictive plant metabolic engineering.

摘要

转录因子(TFs)被认为是用于操纵植物代谢途径的“单一酶”方法的可行替代方案。由于能够控制特定代谢途径中的多个步骤(即使不是所有步骤),转录因子为克服涉及多个酶促步骤的通量瓶颈,或在特定器官、细胞类型甚至通常不表达途径基因的植物中部署途径基因提供了有吸引力的工具。转录因子对植物代谢进行预测性操纵的潜力与了解它如何融入基因调控组织密切相关。在过去十年中获得的关于植物途径如何被控制的知识,以及为破译植物基因调控网络的整体架构而不断增加的努力,正开始实现转录因子在预测性植物代谢工程中的潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验