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

Integration of resources and studies to elucidate neuropeptide signaling

整合资源和研究以阐明神经肽信号传导

基本信息

批准号：
8311754
负责人：
SANDRA L RODRIGUEZ ZAS
金额：
$ 30.05万
依托单位：
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-30 至 2014-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8311754
关键词：
Address Animal Model Bees Behavior Bioinformatics Biological Process Brain Characteristics Code Communities Complement Complex Computer Simulation Data Databases Development Diagnosis Diagnostic Disease Drug Addiction Drug abuse Genes Goals Grant Honey Human Joints Knowledge Label Lead Learning Link Mass Spectrum Analysis Mediating Mining Modeling Mus National Institute of Drug Abuse Neurons Neuropeptide Receptor Neuropeptides Neurosciences Neurosciences Research Ontology Outcome Peptide Signal Sequences Peptides Pharmaceutical Preparations Phase Post-Translational Protein Processing Prevention Proteomics Publishing Rattus Research Research Infrastructure Resolution Resources Role Signal Transduction Simulate Stimulus Substance abuse problem System Systems Biology Techniques Transcript Validation Work abstracting addiction crosslink drug of abuse extracellular improved insight intercellular communication prognostic prohormone ranpirnase repository research study response tool transcriptomics

项目摘要

Integration of resources and studies to elucidate neuropeptide signaling Abstract Elucidating the mechanisms governing drug addiction requires knowledge of the role of neuropeptides on the neuronal networks. These signaling peptides mediate responses to environmental stimuli and influence addiction behaviors. Many drugs of abuse directly interact with neuropeptide receptors, and others appear to mediate peptide responses. NIDA has a long tradition of supporting fundamental neuroscience research that has lead to the elucidation of signaling systems and provided critical insights into substance abuse and behavior. Signaling peptides have been studied using a wide range of techniques and model organisms. Multiple complementary neuropeptide repositories and peptidomic and transcriptomic experiments are now available. Even with such information, the challenge remains to gain a complete and systematic understanding of the neuropeptidome and its association with drug escalation and abuse. We propose to address this challenge by developing a public and comprehensive neuropeptide resource much needed by the research community and by collectively analyzing proteomic and transcriptomic experiments to augment the understanding of extracellular signaling peptides both at the fundamental neuroscience as well as the applied substance abuse levels. To accomplish these objectives, we plan to (Aim 1) integrate complementary peptide repositories and develop tools to assemble and effectively query a comprehensive and public resource of experimental and in silico predictions; mine this resource to (Aim 2) perform secondary and joint analysis of available high proteomic experiments; and (Aim 3) perform integrated analysis of proteomic and transcriptomic experiments. The overarching strategy is to integrate complementary information across databases, experiments and platforms to provide a unique and comprehensive understanding of the dynamic neuropeptide complement. The outcome of this project will be resources, tools and information that will fill critical gaps in the knowledge on intercellular signaling systems and suggest targets for prevention, diagnosis and cure of substance abuse.

整合资源和研究阐明神经肽信号转导摘要要阐明药物成瘾的机制，需要了解神经元网络上的神经肽。这些信号肽介导对环境刺激和影响成瘾行为。许多滥用药物直接相互作用与神经肽受体，以及其他似乎介导肽反应。妮达有很长一段时间支持基础神经科学研究的传统，这导致了对并提供了对药物滥用和行为的关键见解。信令人们已经使用了广泛的技术和模型生物来研究多肽。多重互补神经肽储存库以及多肽和转录实验现已上市。即使有了这样的信息，挑战仍然是获得一个完整和系统地了解神经肽组及其与药物升级和虐待。我们建议通过制定一个公共和全面的研究界和集体分析急需的神经肽资源蛋白质组学和转录组学实验增强对细胞外的了解基础神经科学和应用物质中的信号肽滥用程度。为了实现这些目标，我们计划(目标1)整合互补多肽库和开发工具，以汇编和有效地查询一个全面和实验和电子预测的公共资源；挖掘该资源以(目标2)执行对可用的高蛋白组学实验进行二次和联合分析；以及(目标3)执行蛋白质组学和转录组实验的综合分析。最重要的战略是集成跨数据库、实验和平台的互补信息，以提供对动态神经肽补体有独特而全面的理解。这个该项目的成果将是资源、工具和信息，将填补关于细胞间信号系统的知识，并建议预防、诊断和药物滥用的治疗。