Whole-animal imaging, gene function, and the Zebrafish Phenome Project.

Whole-animal imaging, gene function, and the Zebrafish Phenome Project.
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全动物成像,基因功能和斑马鱼现象项目。

DOI:
10.1016/j.gde.2011.08.006
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发表时间:
2011-10
影响因子:
4
通讯作者:
La Riviere, Patrick
La Riviere, Patrick
中科院分区:
生物学2区
文献类型:
--
作者:
Cheng, Keith C.;Xin, Xuying;Clark, Darin P.;La Riviere, Patrick

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成像可能会对斑马鱼表型组项目做出重大贡献,该项目将通过突变体的产生和表型分析来探测脊椎动物基因的功能。整个动物在成年期的不同发育阶段的成像将用于推断生物功能。细胞分辨率将需要确定细胞机制和检测全方位的器官效应。由于随着年龄的增长色素沉着增加和组织透明度减少,活斑马鱼胚胎的光成像仅在发育约2天内是实用的。斑马鱼的小尺寸使得通过组织学和微米级断层扫描(microCT)以细胞分辨率进行整体动物成像成为可能。幼虫的组织学研究是通过使用阵列来促进的,并且组织学在人类疾病研究中的标准使用增强了其转化价值。同步辐射microCT与中等能量(10-25 keV)的X射线是不受色素沉着或组织厚度遇到的斑马鱼的幼虫阶段及以后,是非常适合检测表型,可能需要3D建模。该项目所需的吞吐量将需要机器人样品制备和装载,增加闪烁体和CCD芯片的尺寸和灵敏度,增加计算机能力,以及开发新的图像处理、分割和定量方法。
Imaging can potentially make a major contribution to the zebrafish phenome project, which will probe the functions of vertebrate genes through the generation and phenotyping of mutants. Imaging of whole animals at different developmental stages through adulthood will be used to infer biological function. Cell resolutions will be required to identify cellular mechanism and to detect a full range of organ effects. Light-based imaging of live zebrafish embryos is practical only up to ~2 days of development, due to increasing pigmentation and diminishing tissue lucency with age. The small size of the zebrafish makes possible whole-animal imaging at cell resolutions by histology and micron-scale tomography (microCT). The histological study of larvae is facilitated by the use of arrays, and histology’s standard use in the study of human disease enhances its translational value. Synchrotron microCT with X-rays of moderate energy (10-25 keV) is unimpeded by pigmentation or the tissue thicknesses encountered in zebrafish of larval stages and beyond, and is well-suited to detecting phenotypes that may require 3D modeling. The throughput required for this project will require robotic sample preparation and loading, increases in the dimensions and sensitivity of scintillator and CCD chips, increases in computer power, and the development of new approaches to image processing, segmentation, and quantification.
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