FRET成像和计算机模拟:神经生长因子诱导神经新生的信号网络分析。

Brain cell biology Pub Date : 2008-08-01 Epub Date: 2008-07-25 DOI:10.1007/s11068-008-9028-5
Takeshi Nakamura, Kazuhiro Aoki, Michiyuki Matsuda
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引用次数: 9

摘要

基于Förster共振能量转移(FRET)的基因编码探针使我们能够破译编码在复杂组织(如大脑)中的时空信息。首先,本文综述了FRET探针,其中供体和受体都是荧光蛋白,并结合到一个单分子,即单分子探针。这些探针的优点在于易于加载到细胞中,FRET图像的获取简单,数据的评估清晰。接下来,我们介绍了我们最近的研究,包括FRET成像和硅模拟。在PC12细胞神经生长因子诱导的神经突生长中,我们发现了正、负信号反馈回路。我们认为这些反馈回路决定了神经突萌芽的位置。我们想强调的是,现在是加速神经科学、光学和计算生物学交叉研究的时候了。
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FRET imaging and in silico simulation: analysis of the signaling network of nerve growth factor-induced neuritogenesis.

Genetically encoded probes based on Förster resonance energy transfer (FRET) enable us to decipher spatiotemporal information encoded in complex tissues such as the brain. Firstly, this review focuses on FRET probes wherein both the donor and acceptor are fluorescence proteins and are incorporated into a single molecule, i.e. unimolecular probes. Advantages of these probes lie in their easy loading into cells, the simple acquisition of FRET images, and the clear evaluation of data. Next, we introduce our recent study which encompasses FRET imaging and in silico simulation. In nerve growth factor-induced neurite outgrowth in PC12 cells, we found positive and negative signaling feedback loops. We propose that these feedback loops determine neurite-budding sites. We would like to emphasize that it is now time to accelerate crossover research in neuroscience, optics, and computational biology.

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