Eliezer Yifat, Zaslaver Alon
Genetics Department, Silberman Life Sciences Institute, The Hebrew University of Jerusalem, Jerusalem, 91904, Israel.
Methods Mol Biol. 2015;1327:39-47. doi: 10.1007/978-1-4939-2842-2_4.
C. elegans offer a unique opportunity for understanding computation in neural networks. This is largely due to their relatively compact neural network for which a wiring diagram is available. Recent advances in genetic tools for interrogating neural activity (e.g., optogenetics) make C. elegans particularly compelling as they can be expressed in many different combinations in target individual neurons. Thus, the prospect to decipher principles underlying functionality in neural networks largely depends on the ease by which transgenic animals can be generated. Traditionally, to generate transgenic animals one would inject a plasmid containing the gene of interest under the regulation of the cell- or lineage-specific promoter. This often requires laborious cloning steps of both the gene and the promoter. The Hobert lab has developed a simpler protocol in which linear PCR fragments can be injected to generate transgenic animals. Relying on this PCR fusion-based method, here we provide a detailed protocol that we have optimized for expressing various genetically encoded calcium indicators and optogenetic tools in individual or sets of neurons. We use these simple procedures to generate multiple constructs within a very short time frame (typically 1-2 days).
秀丽隐杆线虫为理解神经网络中的计算提供了独特的机会。这主要归功于其相对紧凑的神经网络,且该神经网络的接线图是已知的。用于探究神经活动的遗传工具(如光遗传学)的最新进展使得秀丽隐杆线虫格外引人注目,因为这些工具可以以多种不同组合在目标单个神经元中表达。因此,破译神经网络功能背后原理的前景在很大程度上取决于生成转基因动物的难易程度。传统上,要生成转基因动物,人们会注射一种质粒,该质粒包含在细胞或谱系特异性启动子调控下的感兴趣基因。这通常需要对基因和启动子进行繁琐的克隆步骤。霍伯特实验室开发了一种更简单的方案,其中可以注射线性PCR片段来生成转基因动物。基于这种基于PCR融合的方法,我们在此提供了一个详细的方案,该方案是我们为在单个或一组神经元中表达各种基因编码的钙指示剂和光遗传学工具而优化的。我们使用这些简单的程序在非常短的时间内(通常为1 - 2天)生成多个构建体。