BioinformatJCS Core

生物信息JCS核心

• 批准号: 8294806
• 负责人: Jonathan V. Sweedler
• 金额: $ 30.81万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8294806
• 关键词: Address; Bioinformatics; Brain; Characteristics; Code; Communities; Complex; Computer Simulation; Computer software; Data; Data Analyses; Data Set; Databases; Development; Experimental Designs; Funding; Genetic; Genome; Goals; Guns; Hormones; Internet; Laboratories; Lead; Link; Mass Spectrum Analysis; Measurement; Methods; Mission; Modeling; Neurons; Neuropeptides; Neurosciences; Online Systems; Peptide Signal Sequences; Peptides; Post-Translational Protein Processing; Process; Progress Reports; Proteins; Proteomics; Publications; Reading; Research; Research Personnel; Resources; Sampling; Shotguns; Signaling Molecule; System; Work; cytokine; data management; intercellular communication; novel strategies; programs; prohormone; research study; success; tool

The Bioinformatics Core will work closely with the major users by providing a customized laboratory sample tracking system, an efficient and quick data pipeline, a tailored project management system, and a web portal to facilitate sharing of experimental results. The Core will convert the data acquired from a range of mass spectrometric platforms into qualitative and quantitative information to address the questions posed by our users. Besides facilitating the analysis of the data for the users using a range of commercial software, several new bioinformatics tools will be created to benefit both local users and the broader neuroscience communities. We will continue the development of NeuroPred, a currently available web-based tool that predicts prohormone cleavages and the resulting signaling peptides. This predictor provides a valuable link between genetic information coding for the protein prohormones and the peptide products one observes. NeuroProSightPTM is another important bioinformatics tool that identifies post-translational modifications in intact proteins from "top-down" data analysis of absolute masses. The top-down approach will enable investigators to use absolute masses of intact proteins to identify neuropeptides, cytokines, hormones, and other neuron-specific proteins and peptides. Lastly, a unique method of shot-gun peptidomics that combines bioinformatics tools and high accuracy mass measurements will enhance peptide characterization and identification, and will be used across a range of important neuroscience models. Together, the well-planned experiments, existing tools, and new bioinformatics capabilities will create novel approaches and new data on the intercellular signaling molecules found in the brain.

生物信息学核心将通过提供定制实验室与主要用户紧密合作 示例跟踪系统，高效，快速的数据管道，量身定制的项目管理系统， 以及一个促进实验结果的网站门户。核心将转换数据 从一系列质谱平台中获得的定性和定量信息 解决我们用户提出的问题。除了促进对数据的分析 使用一系列商业软件的用户，将创建几种新的生物信息学工具 受益于本地用户和更广泛的神经科学社区。我们将继续 Neuropred的开发，这是一种目前基于Web的工具，可预测激素 切割和产生的信号肽。该预测指标提供了有价值的联系 蛋白质激素和肽产物的遗传信息编码。 Neuroprosightptm是另一个重要的生物信息学工具，可以识别翻译后 从绝对质量的“自上而下”数据分析中修改完整蛋白质的修饰。自上而下 方法将使研究人员能够使用完整蛋白质的绝对质量来识别 神经肽，细胞因子，激素和其他神经元特异性蛋白质和肽。最后， 结合生物信息学工具和高精度质量的射击枪肽疗法的独特方法 测量将增强肽的表征和识别，并将在 一系列重要的神经科学模型。共同计划的实验，现有工具， 新的生物信息学能力将创建新颖的方法和新数据 在大脑中发现的信号分子。