分子神经生物学:大脑信息处理综合研究
分类:专家指南2021-06-01
项目背景
人类做出的每一个行为都是由大脑决定的。大脑以闪电般的速度,对图像、气味和声音作出分析和反应。大脑如何做到这一点?众所周知,人类大脑含有超过860亿个神经元,目前的研究对尚未发现可能导致精神类疾病的细胞变异成因及其与正常细胞的差别。
那么,健康的大脑如何运作?大脑如何处理视觉、听觉、味觉等感官信息?大脑如何发育?项目聚焦这一非常具有挑战性的研究领域。
学生将在项目中从分子与细胞开始,在美国著名生物研究所的终身教授的指导下,逐步探究生物神经系统,了解人类情感和行为的形成原因,为解决现代性精神问题迈出属于自己的一步。
项目介绍
学生将在项目中学习神经科学和遗传学的知识,包括神经元、神经系统、复杂神经网络等,活学活用,站在分子神经生物学角度剖析神经问题。学生将在项目结束时,提交项目报告,进行成果展示。
个性化研究课题参考:
DNA和蛋白质序列数据分析
下一代基因测序和载体
初生儿神经系统发育分析
自闭症遗传学诱因
In this project, students will learn the knowledge of neuroscience and genetics, including neurons, nervous system, complex neural networks, etc., and use them to analyze neural problems from the perspective of molecular neurobiology. Students should submit a report at the end of this project to show their results.
Suggested Future Research Fields:
Data analysis of DNA and protein sequence
Next-generation gene sequencing and vectors
Analysis of Nervous System Development in Newborns
Genetic triggers of autism
导师介绍
Sreekanth
索尔克生物研究所终身教授
Prof.Sreekanth is currently at the Salk Institute for Biological Studies. He obtained his Ph.D. from the University of Pennsylvania and did post-docs at the University of California San Francisco and The Rockefeller University. He started his lab in 2010 where his research interests include how brain neural networks perceive and process information to produce behavior. Prof.Sreekanth has won Searle Scholar, a title given to only 15 of the most promising biomedical scholars in the United States each year.
Sreekanth导师现任索尔克生物研究所(Salk Institute for Biological Studies;美国生命科学领域成果最多、质量最高的研究机构,在生物医学研究机构与神经科学和行为学领域全球排名首位)终身教授,在学术领域硕果累累,曾多次以第一作者或联合作者的身份在《自然》、《Neuron》、《Journal of Neuroscience》等国际期刊发表学术论文。
Sreekanth导师的研究兴趣为大脑神经网络如何感知并处理信息从而产生行为,曾荣获Searle Scholar(在美国每年仅有15位生物医学领域内的最有前途的研究学者被授予此称号)。
项目大纲
大脑和遗传疾病概论:脑功能,自闭症、双相情感障碍的遗传学诱因。学生将在本周对神经科学形成整体认知 Introduction of the brain and genetic diseases: brain function, genetic causes of autism and bipolar disorder. Students will form a holistic understanding of neuroscience
遗传学概论:下一代基因测序和载体分析:焦如何描述全基因组,阐述基因与疾病之间的联系。学生将在本周使用基因组浏览器获取基因及其编码和基本信息 Introduction of Genetics: Next-Generation Gene Sequencing and Vector Analysis: How Jiao describes the whole genome and explains the connection between genes and diseases. Students will use the genome browser to get genes and their codes and basic information
DNA序列分析:多重序列比对和蛋白质序列相似性分析。学生将在本周线性排列正常和疾病相关DNA和蛋白序列 DNA sequence analysis: multiple sequence alignment and protein sequence similarity analysis. Students will linearly arrange normal and disease-related DNA and protein sequences this week
系统发育:进化以及系统发育分析。学生将在本周使用DNA序列(正常、疾病相关和其他物种的同源)创建系统发育树 Phylogeny: Analysis of evolution and phylogeny. Students will use DNA sequences (normal, disease-related and homology of other species) to create a phylogenetic tree
基因疗法:修改DNA序列的不同方法和工具 Gene Therapy: different methods and tools for modifying DNA sequences
项目回顾与成果展示 Program Review and Presentation
论文辅导 Project Deliverables Tutoring
