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FRET imaging and in silico simulation: analysis of the signaling network of nerve growth factor-induced neuritogenesis.

机译:FRET成像和计算机模拟:神经生长因子诱导的神经形成的信号网络分析。

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摘要

Genetically encoded probes based on Forster 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.
机译:基于福斯特共振能量转移(FRET)的基因编码探针使我们能够解密在复杂组织(例如大脑)中编码的时空信息。首先,本综述着重于FRET探针,其中供体和受体都是荧光蛋白,并被掺入单个分子中,即单分子探针。这些探针的优势在于易于装入细胞,简单获取FRET图像以及清晰地评估数据。接下来,我们介绍我们的最新研究,其中包括FRET成像和计算机模拟。在神经生长因子诱导的PC12细胞神经突生长中,我们发现了正向和负向信号反馈回路。我们建议这些反馈回路确定神经突出芽部位。我们想强调的是,现在是时候加速神经科学,光学和计算生物学的交叉研究了。

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