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利用果蝇胚胎中表达的合成基因网络分析负反馈。

Analyzing negative feedback using a synthetic gene network expressed in the Drosophila melanogaster embryo.

作者信息

Jermusyk Ashley A, Murphy Nicholas P, Reeves Gregory T

机构信息

Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27606, USA.

Department of Chemical Engineering, University of Virginia, 102 Engineers' Way, Charlottesville, USA.

出版信息

BMC Syst Biol. 2016 Aug 31;10(1):85. doi: 10.1186/s12918-016-0330-z.

Abstract

BACKGROUND

A complex network of gene interactions controls gene regulation throughout development and the life of the organisms. Insights can be made into these processes by studying the functional interactions (or "motifs") which make up these networks.

RESULTS

We sought to understand the functionality of one of these network motifs, negative feedback, in a multi-cellular system. This was accomplished using a synthetic network expressed in the Drosophila melanogaster embryo using the yeast proteins Gal4 (a transcriptional activator) and Gal80 (an inhibitor of Gal4 activity). This network is able to produce an attenuation or shuttling phenotype depending on the Gal80/Gal4 ratio. This shuttling behavior was validated by expressing Gal3, which inhibits Gal80, to produce a localized increase in free Gal4 and therefore signaling. Mathematical modeling was used to demonstrate the capacity for negative feedback to produce these varying outputs.

CONCLUSIONS

The capacity of a network motif to exhibit different phenotypes due to minor changes to the network in multi-cellular systems was shown. This work demonstrates the importance of studying network motifs in multi-cellular systems.

摘要

背景

一个复杂的基因相互作用网络在生物体的整个发育过程和生命过程中控制着基因调控。通过研究构成这些网络的功能相互作用(或“基序”),可以深入了解这些过程。

结果

我们试图了解这些网络基序之一——负反馈在多细胞系统中的功能。这是通过在果蝇胚胎中表达的一个合成网络来实现的,该网络使用酵母蛋白Gal4(一种转录激活因子)和Gal80(Gal4活性的抑制剂)。根据Gal80/Gal4的比例,这个网络能够产生衰减或穿梭表型。通过表达抑制Gal80的Gal3来验证这种穿梭行为,从而使游离Gal4局部增加,进而产生信号传导。使用数学建模来证明负反馈产生这些不同输出的能力。

结论

展示了在多细胞系统中,由于网络的微小变化,网络基序呈现不同表型的能力。这项工作证明了在多细胞系统中研究网络基序的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fca9/5006508/f354b02fc624/12918_2016_330_Fig1_HTML.jpg

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