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:10599857
- 负责人:
- 金额:$ 37.46万
- 依托单位:
- 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:
- 关键词:AccelerationAdoptedAdultAgingAllelesAnatomyAnimalsApoptosisAutomationBehavioralBenchmarkingBiological ModelsBiological PhenomenaBiologyCaenorhabditis elegansCell DeathCell LineageCommunitiesComputer softwareConsumptionDevelopmentDrug ScreeningGenerationsGenesGeneticGenetic CrossesGenetic ModelsGenetic ScreeningGoalsImageIndividualLanguageMammalsManualsMapsMeasurementMeasuresMethodsMicrofluidicsMolecularMonitorMovementMutagensNematodaNervous SystemNeurobiologyOpticsOther GeneticsPhenotypePhysiologyPopulationProceduresProcessProductivityProtocols documentationRNA InterferenceResearchResearch PersonnelRobotRoboticsRunningSleepStudy modelsSystemTechniquesTechnologyTestingTimeTransgenesVisualWorkarmaxon guidancecostdesignexperimental studyflexibilitygene discoverygenetic analysisgenetic manipulationgenome sequencinggraphical user interfaceloss of functionmachine visionmobile computingmodel organismmutantopen sourceoperationoptogeneticsreal-time imagesrobotic systemsuccesstoolwhole 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
蛔虫C.线虫是研究最广泛和最强大的遗传模式生物之一,
生物学在C.线虫遗传学需要耗时且低通量的人工
程序.例如,正向遗传筛选,通过该筛选发现影响表型的基因
通过鉴定突变体,通常涉及对数万只动物个体的评估。充分
开发利用C. elegans作为一个模型系统将从自动化中受益匪浅。我们将开发
自动化的方法来进行遗传筛选和许多其他的任务,在C。elegans实验室。
该系统的关键组成部分将是一个移动摄像机机器视觉系统,用于监测个人
蠕虫在各种基板上,和一个机器人手臂能够转移个别蠕虫从一个板,
另为了测试和改进我们的方法,我们将应用我们的自动化系统来执行饱和遗传算法。
筛选发育定时睡眠的调节剂,这种睡眠在分子和行为上与睡眠有相似之处,
哺乳动物
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Christopher Fang-Yen其他文献
Christopher Fang-Yen的其他文献
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{{ truncateString('Christopher Fang-Yen', 18)}}的其他基金
Behavior-based discovery of small-molecule modulators of neurochemical signaling pathways that underlie addiction
基于行为的成瘾神经化学信号通路小分子调节剂的发现
- 批准号:
10665084 - 财政年份:2022
- 资助金额:
$ 37.46万 - 项目类别:
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
- 批准号:
10382437 - 财政年份:2020
- 资助金额:
$ 37.46万 - 项目类别:
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
- 批准号:
10161875 - 财政年份:2020
- 资助金额:
$ 37.46万 - 项目类别:
Identification neurons controlling sleep/wake in the nematode C. elegans
识别控制线虫睡眠/觉醒的神经元 秀丽隐杆线虫
- 批准号:
8868312 - 财政年份:2015
- 资助金额:
$ 37.46万 - 项目类别:
Controlling neural circuits with single-cell resolution in behaving animals
以单细胞分辨率控制行为动物的神经回路
- 批准号:
9275048 - 财政年份:2013
- 资助金额:
$ 37.46万 - 项目类别:
Controlling neural circuits with single-cell resolution in behaving animals
以单细胞分辨率控制行为动物的神经回路
- 批准号:
8559985 - 财政年份:2013
- 资助金额:
$ 37.46万 - 项目类别:
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