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首页> 外文期刊>Molecular Plant >An approach to quantify endomembrane dynamics in pollen utilizing bioactive chemicals. (Special Issue: Pollen tube and reproduction.)
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An approach to quantify endomembrane dynamics in pollen utilizing bioactive chemicals. (Special Issue: Pollen tube and reproduction.)

机译:一种利用生物活性化学物质量化花粉内膜动态的方法。 (特刊:花粉管和繁殖。)

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Tip growth of pollen tubes and root hairs occurs via rapid polar growth. These rapidly elongating cells require tip-focused endomembrane trafficking for the deposition and recycling of proteins, membranes, and cell wall materials. Most of the image-based data published to date are subjective and non-quantified. Quantitative and comparative descriptors of these highly dynamic processes have been a major challenge, but are highly desirable for genetic and chemical genomics approaches to dissect this biological network. To address this problem, we screened for small molecules that perturbed the localization of a marker for the Golgi Ras-like monomeric G-protein RAB2:GFP expressed in transgenic tobacco pollen. Semi-automated high-throughput imaging and image analysis resulted in the identification of novel compounds that altered pollen tube development and endomembrane trafficking. Six compounds that caused mislocalization and varying degrees of altered movement of RAB2:GFP-labeled endomembrane bodies were used to generate a training set of image data from which to quantify vesicle dynamics. The area, velocity, straightness, and intensity of each body were quantified using semi-automated image analysis tools revealing quantitative differences in the phenotype caused by each compound. A score was then given to each compound enabling quantitative comparisons between compounds. Our results demonstrate that image analysis can be used to quantitatively evaluate dynamic subcellular endomembrane phenotypes induced by bioactive chemicals, mutations, or other perturbing agents as part of a strategy to quantitatively dissect the endomembrane network.
机译:花粉管和根毛的尖端生长通过快速的极性生长发生。这些快速伸长的细胞需要尖端集中的内膜运输,以沉积和回收蛋白质,膜和细胞壁材料。迄今为止,大多数基于图像的数据都是主观的,未经量化的。这些高度动态过程的定量和比较描述符是一个主要挑战,但对于解剖该生物网络的遗传和化学基因组学方法却是非常需要的。为了解决这个问题,我们筛选了干扰在转基因烟草花粉中表达的高尔基·拉斯(Golgi Ras)样单体G蛋白RAB2:GFP标记的定位的小分子。半自动化的高通量成像和图像分析导致鉴定出可改变花粉管发育和内膜运输的新型化合物。使用六种引起RAB2:GFP标记的膜内膜体定位不正确和运动变化程度不同的化合物来生成图像数据训练集,从中可以量化囊泡动力学。使用半自动图像分析工具对每个物体的面积,速度,直线度和强度进行定量,从而揭示每种化合物在表型上的定量差异。然后对每种化合物进行评分,以实现化合物之间的定量比较。我们的结果表明,图像分析可用于定量评估由生物活性化学物质,突变或其他干扰剂诱导的动态亚细胞内膜表型,作为定量解剖内膜网络策略的一部分。

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