Automated droplet-based platform for combinatorial screens on whole animals

用于整个动物组合筛选的基于液滴的自动化平台

基本信息

批准号：
9143767
负责人：
Hang Lu
金额：
$ 19.49万
依托单位：
GEORGIA INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-15 至 2017-09-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9143767
关键词：
Address Animal Model Animals Antibiotics Automation Behavior Behavior Control Behavioral Biological Biological Models Biology Caenorhabditis elegans Chemicals Combinatorics Combined Modality Therapy Communication Complex Cues Data Data Analyses Decision Making Development Disease Drug Combinations Encapsulated Engineering Environment Esthesia Food Generations Goals Human Individual Laboratories Lead Libraries Microfluidic Microchips Microfluidics Modality Modeling Nature Nervous system structure Neurobiology Neurosciences Odors Partner in relationship Phenotype Pheromone Population Control Preclinical Drug Evaluation Process Reagent Sampling Sensory Smell Perception Software Design Stereotyped Behavior Sum System Systems Integration Technology Testing Therapeutic Video Microscopy Zebrafish abstracting age related animal imaging base behavioral response cancer therapy combinatorial cost design drug development human disease innovation interest male man mating behavior nervous system disorder receptor research study response screening small molecule libraries software systems success

项目摘要

Project Summary/Abstract The ability to generate combinatorial libraries of chemical compounds is important for a variety of problems, particularly sensory neurobiology, and for drug screens and development of potential therapeutics for diseases. Currently combinatorial screens using small model organisms such as C. elegans and zebrafish is virtually cost inhibitive and complex to carry out, because of these animals are cultured and screened usually in multi-well plates. Additionally, handling small animals with complex maneuvers fluidically is challenging. Our main interest in the long-term is to develop technological platforms and study sensory biology in C. elegans as a model for human neurological diseases. In this project, we will design a droplet-microfluidic chip that can be automated for generating combinatorial libraries of chemicals, and then to demonstrate the utility of this system in studying the combinatorial effects of a few pheromone compounds on C. elegans. This project is significant because it addresses two current major bottlenecks for combinatorial screens with small model organisms. Both the hardware design and the software (automation and quantitative behavioral analysis) will be translatable to other problems and systems. We envision the technology will enable a variety of combinatorial screens using small model organisms that will lead to new biological discoveries.

项目摘要/摘要产生化合物组合库的能力对于多种问题，尤其是感觉神经生物学，以及用于药物筛查和潜力的发展疾病的治疗剂。目前使用小型模型生物（如C.）组合筛选。秀丽隐杆线虫和斑马鱼几乎是成本抑制和复杂的，因为这些动物是通常在多孔板中进行培养和筛选。此外，用复杂的小动物处理小动物机动在流动性方面具有挑战性。我们对长期的主要兴趣是开发技术秀丽隐杆线虫中的平台和研究感官生物学是人类神经疾病的模型。在这个项目，我们将设计一个可以自动生成的液滴微流体芯片化学品的组合库，然后在研究一些信息素化合物对秀丽隐杆线虫的组合作用。这个项目是意义重大，因为它解决了与小型组合屏幕的两个当前主要瓶颈模型生物。硬件设计和软件（自动化和定量行为分析）将转换为其他问题和系统。我们设想该技术将使使用小型生物体的各种组合筛选，这些生物会导致新的生物学发现。