Automated platform for high-throughput genetic analyses in C. elegans

用于线虫高通量遗传分析的自动化平台

基本信息

批准号：
10161875
负责人：
Christopher Fang-Yen
金额：
$ 37.31万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-15 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10161875
关键词：
Adopted Adult Aging Alleles Anatomy Animal Model Animals Apoptosis Automation Behavioral Benchmarking Biological Models Biological Phenomena Biology Caenorhabditis elegans Cell Death Cell Lineage Communities Computer software Consumption Custom Development Drug Screening Generations Genes Genetic Genetic Crosses Genetic Models Genetic Screening Goals Image Individual Language Mammals Manuals Maps Measurement Measures Methods Microfluidics Molecular Monitor Movement Nematoda Nervous system structure Neurobiology Optics Other Genetics Phenotype Physiology Population Procedures Process Productivity Protocols documentation RNA Interference Research Research Personnel Robot Robotics Running Sleep Study models System Techniques Technology Testing Time Transgenes Visual Work arm axon guidance base cost design experimental study flexibility gene discovery genetic analysis genetic manipulation genome sequencing graphical user interface loss of function machine vision mobile computing mutant open source operation optogenetics real-time images robotic system success tool whole genome

项目摘要

PROJECT SUMMARY The roundworm C. elegans is one of the most widely studied and powerful genetic model organisms in biology. Many experiments in C. elegans genetics require time-consuming and low throughput manual procedures. For example, the forward genetic screen, through which genes influencing a phenotype are found by identification of mutants, often involves assessment of tens of thousands of individual animals. Full exploitation of C. elegans as a model system will benefit tremendously from automation. We will develop automated methods for performing genetic screens and many other tasks routinely done in C. elegans labs. The key components of the system will be a moving-camera machine vision system for monitoring individual worms on various substrates, and a robotic arm capable of transferring individual worms from one plate to another. To test and refine our methods, we will apply our automation system to perform a saturation genetic screen for modifiers of developmentally-timed sleep, which has molecular and behavioral similarities to sleep in mammals.

项目摘要 round虫秀丽隐杆线虫是研究最广泛，最有力的遗传模型生物之一生物学。秀丽隐杆线虫遗传学中的许多实验需要耗时和低通量手册程序。例如，向前的遗传筛选，通过该筛选，发现了基因影响表型通过鉴定突变体，通常涉及评估成千上万个单个动物。满的将秀丽隐杆线虫作为模型系统的开发将从自动化中受益匪浅。我们将发展进行遗传筛查和许多其他任务在秀丽隐杆线虫实验室中进行的自动化方法。系统的关键组件将是用于监视个人的移动摄像机机器视觉系统各种基材上的蠕虫，以及能够将单个蠕虫从一个板转移到的机器人臂其他。为了测试和完善我们的方法，我们将应用我们的自动化系统执行饱和遗传筛选发育时与睡眠的修饰符，该睡眠具有分子和行为相似性的睡眠哺乳动物。