权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

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.

遗传学研究已经确定了许多与精神疾病有显著关联的特定基因座。