Songbird Neurogenomics Initiative

鸣鸟神经基因组学计划

• 批准号: 7587427
• 负责人: DAVID F CLAYTON
• 金额: $ 28.76万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7587427
• 关键词: Address; Age; Area; Attention; Auditory area; Awareness; Bioinformatics; Brain; Brain region; Cell Nucleus; Chickens; Classification; Collaborations; Collection; Communication; Communities; Data; Databases; Development; Disease; Emerging Technologies; Environment; Expressed Sequence Tags; Future; Gender; Gene Expression; Gene Expression Profiling; Gene Targeting; Genes; Genome; Genomics; Goals; Health; Human; Illinois; Individual; Informatics; Learning; Methodology; Microarray Analysis; Modeling; Molecular Profiling; Neurosciences; Neurosciences Research; Online Systems; Phase; Production; RNA purification; Research; Research Personnel; Resources; Role; Sampling; Science; Sequence Analysis; Series; Sex Characteristics; Songbirds; Speech; System; Techniques; United States National Institutes of Health; Work; base; community setting; data sharing; exhaust; experience; frontier; fundamental research; genome sequencing; improved; interest; next generation; novel; relating to nervous system; research study; symposium; tool; user-friendly; web-accessible; zebra finch

Songbirds offer valuable opportunities for fundamental neuroscience research relevant to human health and disease. The Songbird Neurogenomics (SoNG) Initiative aims to advance this by aggressive, community- level application of emerging technologies in genomics and bioinformatics. In the previous period, >40,000 tags for genes expressed in songbird brain (Expressed Sequence Tags, ESTs) were created, from which a DMA microarray was produced for gene expression studies. 20 different research groups submitted propo- sals for experiments using these microarrays. The first aim now is to follow through with execution of these proposals. Collectively they address a broad range of fundamental research questions about functional relationships between brain and genome. >800 brain samples will be analyzed by microarray, following a novel "Community Collaboration" model whereby each individual research group provides brain samples (rigorously documented) to a collaborating core at Illinois, and the core executes all subsequent steps from RNA purification through microarray analysis. With common reference samples and techniques, the resulting expression data can be compared directly across all experiments. To facilitate analysis of results and sharing of data, an integrated, web-based suite of database, bioinformatics and statistical resources will be developed based on the NIH-supported "Beehive" project. Genomic information will be further enhanced through additional EST production, development of a Genome Browser track, and creation of an improved, next-generation microarray. These resources will then be focused to complete a deep profile of brain regions key to song learning, assessing how they compare to other regions including brain areas that correspond to parts of human brain (such as auditory cortex and cortical regions for the control of speech production). A series of community conferences will be held to promote awareness and use of these tools and data, and to focus attention on "next frontiers" for songbird neurogenomics. The songbird brain is of great interest for human neuroscience because it displays an unusual level of organization related to learning, adaptation, gender differences and vocal communication. Fundamental principles worked out first in songbirds have proven true for humans. Moreover, the approach here may serve as a model for doing science on a community scale, embracing individual initiative but coordinating efforts to achieve a larger synergy.

鸣禽为与人类健康相关的基础神经科学研究提供了宝贵的机会， 疾病鸣鸟神经基因组学（SoNG）计划旨在通过积极的，社区的， 基因组学和生物信息学新兴技术的水平应用。在前一时期，> 40 000人 为鸣禽脑中表达的基因创建标签（表达序列标签，ESTs）， DMA微阵列用于基因表达研究。20个不同的研究小组提交了提案， sals用于使用这些微阵列的实验。现在的第一个目标是贯彻执行这些建议。 提案他们共同解决了广泛的基本研究问题， 大脑和基因组之间的关系超过800个大脑样本将通过微阵列进行分析， 一种新颖的“社区合作”模式，每个研究小组都提供大脑样本 （严格记录）到伊利诺斯州的协作核心，核心执行所有后续步骤， 通过微阵列分析进行RNA纯化。使用常见的参考样本和技术， 表达数据可以在所有实验中直接比较。促进成果分析和分享 将建立一个综合的、基于网络的数据库、生物信息学和统计资源套件， 基于NIH支持的“蜂巢”项目开发。基因组信息将进一步增强 通过额外的EST生产，开发基因组浏览器轨道，并创建一个改进的， 下一代微阵列然后这些资源将被集中起来完成大脑区域的深度剖面图 歌曲学习的关键，评估它们与其他区域的比较，包括与 人类大脑的一部分（如听觉皮层和控制语言产生的皮层区域）。一 将举行一系列社区会议，以提高对这些工具和数据的认识和使用， 关注鸣禽神经基因组学的"下一个前沿"。鸣禽的大脑非常有趣， 人类神经科学，因为它显示了一个与学习，适应， 性别差异和语音交流。最早在鸣禽身上发现的基本原理 对人类来说是真的。此外，这里的方法可以作为一个模型， 社区规模，包括个人的主动性，但协调努力，以实现更大的协同作用。