Heins Zachary J, Mancuso Christopher P, Kiriakov Szilvia, Wong Brandon G, Bashor Caleb J, Khalil Ahmad S
Biological Design Center, Boston University; Department of Biomedical Engineering, Boston University.
Biological Design Center, Boston University; Program in Molecular Biology, Cell Biology and Biochemistry, Boston University.
J Vis Exp. 2019 May 19(147). doi: 10.3791/59652.
Continuous culture methods enable cells to be grown under quantitatively controlled environmental conditions, and are thus broadly useful for measuring fitness phenotypes and improving our understanding of how genotypes are shaped by selection. Extensive recent efforts to develop and apply niche continuous culture devices have revealed the benefits of conducting new forms of cell culture control. This includes defining custom selection pressures and increasing throughput for studies ranging from long-term experimental evolution to genome-wide library selections and synthetic gene circuit characterization. The eVOLVER platform was recently developed to meet this growing demand: a continuous culture platform with a high degree of scalability, flexibility, and automation. eVOLVER provides a single standardizing platform that can be (re)-configured and scaled with minimal effort to perform many different types of high-throughput or multi-dimensional growth selection experiments. Here, a protocol is presented to provide users of the eVOLVER framework a description for configuring the system to conduct a custom, large-scale continuous growth experiment. Specifically, the protocol guides users on how to program the system to multiplex two selection pressures - temperature and osmolarity - across many eVOLVER vials in order to quantify fitness landscapes of Saccharomyces cerevisiae mutants at fine resolution. We show how the device can be configured both programmatically, through its open-source web-based software, and physically, by arranging fluidic and hardware layouts. The process of physically setting up the device, programming the culture routine, monitoring and interacting with the experiment in real-time over the internet, sampling vials for subsequent offline analysis, and post experiment data analysis are detailed. This should serve as a starting point for researchers across diverse disciplines to apply eVOLVER in the design of their own complex and high-throughput cell growth experiments to study and manipulate biological systems.
连续培养方法能够使细胞在定量控制的环境条件下生长,因此在测量适应性表型以及增进我们对基因型如何通过选择形成的理解方面具有广泛用途。最近,人们为开发和应用生态位连续培养装置付出了巨大努力,这揭示了进行新型细胞培养控制的好处。这包括定义定制的选择压力,以及提高从长期实验进化到全基因组文库筛选和合成基因电路表征等各类研究的通量。eVOLVER平台就是最近为满足这一日益增长的需求而开发的:一个具有高度可扩展性、灵活性和自动化的连续培养平台。eVOLVER提供了一个单一的标准化平台,只需付出最小的努力就可以(重新)配置和扩展,以进行许多不同类型的高通量或多维生长选择实验。在此,我们给出一个方案,为eVOLVER框架的用户提供关于配置系统以进行定制的大规模连续生长实验的说明。具体而言,该方案指导用户如何对系统进行编程,以便在多个eVOLVER小瓶中对温度和渗透压这两种选择压力进行多路复用,从而以高分辨率量化酿酒酵母突变体的适应性景观。我们展示了如何通过其基于网络的开源软件以编程方式配置该装置,以及如何通过安排流体和硬件布局进行物理配置。详细介绍了实际设置装置、对培养程序进行编程、通过互联网实时监测实验并与之交互、对小瓶进行采样以进行后续离线分析以及实验后数据分析的过程。这应该为不同学科的研究人员在设计自己的复杂高通量细胞生长实验以研究和操纵生物系统时应用eVOLVER提供一个起点。