Automated Acquisition of C. elegans Survival Curves with a Flatbed Scanner

使用平板扫描仪自动采集线虫生存曲线

• 批准号: 7807838
• 负责人: WALTER FONTANA
• 金额: $ 13.26万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7807838
• 关键词: Adoption; Aging; Aging-Related Process; American; Biological Assay; Caenorhabditis elegans; Cessation of life; Collaborations; Communities; Data; Demographic Aging; Development; Economics; Environmental Risk Factor; Exhibits; Funding; Generations; Genes; Genetic; Goals; Grant; Image; Individual; Laboratories; Learning; Longevity; Manuals; Measures; Methods; Nematoda; Parents; Phenotype; Population; Population Characteristics; Probability Samples; Procedures; Process; Protocols documentation; Recovery; Reporting; Research; Research Personnel; Resolution; Series; Shapes; Standardization; System; Technology; Time; Training; United States National Institutes of Health; Validation; Variant; abstracting; interest; meetings; prototype; public health relevance; tool

DESCRIPTION (provided by applicant): Notice number: NOT-OD-09-058 Notice Title: NIH Announces the Availability of Recovery Act funds for Competitive Revision Application ABSTRACT At the level of an individual, aging is a process shaped by multiple stochastic, genetic, and environmental factors, all of which conspire to set a range of possible death times. At the level of a population, it is the endpoint of the aging process-death-that comes into focus. A large number of individuals sample the probability distribution of death times, giving rise to a survival curve that constitutes the demographic signature of aging. The survival curve is a central piece of statistical data useful to researchers regardless of which aspects of aging they study at what level of granularity. The significance of the full survival curve as an assay in C. elegans aging research can be greatly enhanced by expanding its statistical and temporal resolution beyond the practical limitations set by manual protocols. For this purpose we have developed an automated method for acquiring survival curves in C. elegans populations by adapting flatbed scanners for imaging Petri plates containing worms and automatically converting the resultant time series of images into a survival curve. High-resolution survival curves would be an ideal way to classify genes in terms of subtle impacts on curve shape. Moreover, the standardization inherent in an automated method makes survival data acquired for the same genetic (or environmental) perturbation cumulative across laboratories. Finally, automatically acquired curves can be compared across laboratories as well as against all other curves previously acquired by the same method, creating a data "network effect". Anticipating outside interest in our procedure, our proposal aims to adapt our technology for successful transfer to other laboratories. PUBLIC HEALTH RELEVANCE: The survival curve of genetically identical individuals is a powerful tool in the study of aging. A robust technology for the automated and inexpensive generation of high-resolution survival curves of large worm (C. elegans) populations will have broad impact on the study of aging. We have developed a prototype of such a technology and will adapt it for successful transfer to other laboratories.

描述（由申请人提供）：通知编号：NOT-OD-09-058通知标题：NIH宣布恢复法案资金的竞争性修订申请的可用性摘要在个人层面上，衰老是一个由多种随机因素，遗传因素和环境因素塑造的过程，所有这些因素共同决定了一系列可能的死亡时间。在人口水平上，衰老过程的终点--死亡--成为焦点。大量的个体对死亡时间的概率分布进行采样，从而产生一条构成老龄化人口特征的生存曲线。生存曲线是一个中心的统计数据有用的研究人员，无论老化的哪些方面，他们在什么水平的粒度研究。完整存活曲线作为C. elegans老化研究可以通过扩展其统计和时间分辨率而大大增强，超出手动协议设置的实际限制。为此目的，我们开发了一种自动化的方法来获取C。通过调整平板扫描仪对含有蠕虫的培养皿进行成像并自动将所得图像的时间序列转换为生存曲线，来监测线虫种群。高分辨率生存曲线将是根据对曲线形状的微妙影响对基因进行分类的理想方法。此外，自动化方法中固有的标准化使得针对相同遗传（或环境）扰动获得的存活数据在实验室之间累积。最后，自动采集的曲线可以在实验室之间进行比较，也可以与之前通过相同方法采集的所有其他曲线进行比较，从而产生数据“网络效应”。预计外界对我们的程序感兴趣，我们的建议旨在调整我们的技术，以便成功地转移到其他实验室。 公共卫生相关性：基因相同个体的生存曲线是研究衰老的有力工具。一种可靠的技术，用于自动化和廉价的生成高分辨率的大型蠕虫（C。elegans）种群将对衰老研究产生广泛影响。我们已经开发了这种技术的原型，并将对其进行调整，以便成功地转移到其他实验室。

项目成果

The Caenorhabditis elegans Lifespan Machine.

• DOI: 10.1038/nmeth.2475
• 发表时间: 2013-07
• 期刊: NATURE METHODS
• 影响因子: 48
• 作者: Stroustrup, Nicholas;Ulmschneider, Bryne E.;Nash, Zachary M.;Lopez-Moyado, Isaac F.;Apfeld, Javier;Fontana, Walter
• 通讯作者: Fontana, Walter

An insulin-to-insulin regulatory network orchestrates phenotypic specificity in development and physiology.

• DOI: 10.1371/journal.pgen.1004225
• 发表时间: 2014-03
• 期刊: PLoS genetics
• 影响因子: 4.5
• 作者: Fernandes de Abreu DA;Caballero A;Fardel P;Stroustrup N;Chen Z;Lee K;Keyes WD;Nash ZM;López-Moyado IF;Vaggi F;Cornils A;Regenass M;Neagu A;Ostojic I;Liu C;Cho Y;Sifoglu D;Shen Y;Fontana W;Lu H;Csikasz-Nagy A;Murphy CT;Antebi A;Blanc E;Apfeld J;Zhang Y;Alcedo J;Ch'ng Q
• 通讯作者: Ch'ng Q