HIGH-THROUGHPUT HIGH-CONTENT PLATFORM FOR IMAGE-BASED SCREENS

用于基于图像的屏幕的高通量高内容平台

• 批准号: 8031285
• 负责人: Hang Lu
• 金额: $ 22.19万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2012-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8031285
• 关键词: THROUGHPUT; CONTENT; PLATFORM; IMAGE; BASED

DESCRIPTION (provided by applicant): Many human diseases including neurological diseases, diabetes, and diseases associated with aging are molecular and genetic in nature. To fundamentally understand these diseases and to discover pharmaceutical interventions, screening large libraries of reagents using assays in model genetic systems (including worms, flies, and fish) is not only a viable but fruitful approach. The current bottlenecks, however, are in the manual and semi-quantitative techniques such as visual screens or image-based screens, often limiting both the throughput of the experiments; in addition, it is practically impossible or very difficult to use large reagent libraries in conjunction with these assays. Our long- term objective is to develop and use engineering-enabled high-throughput and high-content methods to speed up the discovery processes using model organisms. The objective of this project is to develop a novel high-throughput quantitative method combining microfluidics and automation for studying genes involved in synaptic transmission functions. Genes and pathways emerging from this study could potentially become targets of therapeutics in neurological disorders. The approach is innovative because the technology developed here dramatically increases the capabilities of existing screening tools, and is widely applicable to a variety of problems in different experimental systems. The proposed research is significant because it fills a technology gap in high-throughput and high-content screens, and a knowledge gap in genes and pathways in synaptic transmission. PUBLIC HEALTH RELEVANCE: Synapse transmission is an important and active area of research linking genes to the functions of synapses and the nervous system. It has direct applications to many human diseases such as dysfunctional motor control and mental illnesses.

描述（由申请人提供）：许多人类疾病，包括神经系统疾病、糖尿病和与衰老相关的疾病，本质上是分子和遗传的。为了从根本上了解这些疾病并发现药物干预措施，在模型遗传系统（包括蠕虫、苍蝇和鱼）中使用测定方法筛选大量试剂库不仅是一种可行的而且富有成效的方法。然而，目前的瓶颈是人工和半定量技术，如视觉屏幕或基于图像的屏幕，往往限制了实验的吞吐量；此外，将大型试剂库与这些测定相结合实际上是不可能或非常困难的。我们的长期目标是开发和使用工程技术支持的高通量和高含量方法来加速使用模式生物的发现过程。本项目的目标是开发一种结合微流体和自动化的新型高通量定量方法来研究参与突触传递功能的基因。从这项研究中出现的基因和途径可能成为神经系统疾病治疗的潜在目标。该方法具有创新性，因为这里开发的技术大大提高了现有筛选工具的能力，并且广泛适用于不同实验系统中的各种问题。这项研究具有重要意义，因为它填补了高通量和高含量筛选的技术空白，以及突触传递中基因和途径的知识空白。