Genetic neuroscience: How human genes and alleles shape neuronal phenotypes

遗传神经科学：人类基因和等位基因如何塑造神经元表型

基本信息

批准号：
9757833
负责人：
Paola Arlotta
金额：
$ 412.91万
依托单位：
BROAD INSTITUTE, INC.
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-20 至 2022-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9757833
关键词：
Affect Alleles Architecture Area Awareness Biological Biological Assay Biology Brain Brain Diseases California Cell Differentiation process Cell Line Cell physiology Cells Cellular biology Communities Computer Analysis Data Data Science Data Set Dimensions Disease Engineering Environment Experimental Models Functional disorder Genes Genetic Genetic Transcription Genetic study Goals Human Human Genetics Individual Institutes Investments Ion Channel Lead Libraries Machine Learning Mathematics Measurement Measures Mental disorders Methods Microglia Molecular Molecular Biology Mutation Nervous system structure Neurobiology Neurons Neurosciences Organoids Penetrance Phenotype Physiological Physiology Population Process Property Proteins Psychiatry RNA Regenerative Medicine Resources Risk Sampling Science Scientist Shapes System Technology Test Result Testing Therapeutic Time Variant Work analytical tool cell type computer science computing resources cost cytokine excitatory neuron experimental study genetic information human data improved induced pluripotent stem cell inhibitory neuron innovation insight loss of function mutation multidimensional data neurophysiology next generation novel protein expression protein function rare variant response risk variant stem cell biology translational neuroscience whole genome

项目摘要

Genetic studies have identified many specific loci with significant associations to psychiatric disorders. However, unless we can develop useful approaches for systematically turning genetic information into neurobiological insights about brain disorders, there is a danger that costly and hard-won genetic findings will not be exploitable to understand pathophysiology and generate important therapeutic hypotheses. The goal of our collaborative, interdisciplinary effort is to develop powerful, generalizable approaches for discovering how risk variants for psychiatric disorders shape neurobiological processes at multiple levels of analysis, and to identify the processes whose dysregulation underlies disease. To do this, we propose to develop new experimental and inferential systems to bridge a longstanding gap between human genetics and experimental biology. We aim to identify biological causes and effects that span the genetic, molecular, and cellular levels of the nervous system. Our interdisciplinary team will develop new experimental systems that measure genetic influences across levels of analysis (RNA, proteins, and cellular function including physiology) in precise, scalable, well- controlled ways. We will make use of emerging cellular systems including three-dimensional cortical spheroids and organoids, and radically novel “population in a dish” experimental systems that collect data on cells from hundreds of donors in a shared environment, inferring donor identity at the time of phenotypic readout. The analysis of such systems in turn requires sophisticated inferential strategies and new ideas from computer science. We propose to develop and widely share experimental and computational resources, including cell lines, methods, datasets, and analytic tools. The successful completion of this work will identify key neurobiological processes for multiple psychiatric disorders, and fortify many other scientists in making such connections in their own work. We hope in so doing to create a new kind of interdisciplinary science that – by combining the strengths of data-driven, unbiased human genetics with the power of emerging experimental systems – transforms the rate at which human- genetic leads lead to insights about disease mechanisms.

遗传研究已经确定了许多特定的基因座，与精神疾病有显着关联。但是，除非我们可以开发有用的方法来系统地将遗传信息转化为关于脑部疾病的神经生物学见解，存在危险，代价高昂且艰难的遗传发现将会理解病理生理学并产生重要的治疗假设，这是不可利用的。我们合作，跨学科努力的目的是开发强大的，可推广的方法发现精神疾病的风险变异如何在多个层面上塑造神经生物学过程 analysis, and to identify the processes whose dysregulation underlies disease.为此，我们建议开发新的实验和推论系统，以弥合人类遗传学和实验生物学。我们旨在确定跨越遗传的生物学原因和作用和神经系统的细胞水平。我们的跨学科团队将开发新的实验系统，以衡量跨越的遗传影响精确，可扩展，良好的分析水平（RNA，蛋白质和细胞功能（包括生理））受控方式。我们将利用新兴的蜂窝系统，包括三维皮层球体和类器官，以及激进的新颖的“菜肴中的种群”实验系统，这些系统收集有关细胞数据的数据在共享环境中的数百个捐助者，在表型读数时推断捐助者身份。依次分析此类系统需要从计算机上进行复杂的推论策略和新想法科学。我们建议开发并广泛共享实验和计算资源，包括细胞行，方法，数据集和分析工具。这项工作的成功完成将确定多种精神科的关键神经生物学过程 disorders, and fortify many other scientists in making such connections in their own work.我们希望这样做创建一种新型的跨学科科学，通过结合数据驱动，公正的优势具有新兴实验系统力量的人类遗传学 - 改变了人类的速度遗传导致有关疾病机制的见解。