Technology Core

技术核心

基本信息

批准号：
10339371
负责人：
JOHN D. AITCHISON
金额：
$ 90.74万
依托单位：
SEATTLE CHILDREN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-02-12 至 2024-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10339371
关键词：
Adopted Adoption Automation Bacterial Proteins Behavior Benchmarking Bioinformatics Biological Biological Assay Cell Separation ChIP-seq Chromatin Cities Clinical Communities Community Developments Complement Complex Computer Models Containment Custom Cytometry Data Data Set Data Storage and Retrieval Development Disease Disease Progression Ensure Experimental Designs Functional disorder Generations Genomics Human Human Resources Image Immune Immunology Infection Infectious Diseases Research Institutes Ions Lead Methodology Microscopy Modeling Modification Molecular Mus Procedures Process Proteomics Protocols documentation Relapse Research Research Institute Resources Role Sampling Seeds Site System Systems Analysis Systems Biology Techniques Technology Time Transposase Tuberculosis Universities Work bacterial genetics bacterial genome sequencing base computer infrastructure computing resources cost data management data quality experimental study field study innovation innovative technologies instrumentation lipidomics medical schools meetings metabolomics mycobacterial network models new technology novel pathogen programs response tool transcriptome sequencing transcriptomics treatment response

项目摘要

Abstract - Technology Core This U19 proposes a novel and fully integrated approach to understanding disease progression and treatment response in tuberculosis (TB). We will combine traditional approaches to understanding the pathophysiology of TB, bacterial genetics and immunology, with systems biology approaches including genomics, transcriptomics, metabolomics, lipidomics, proteomics, and computational modeling. We will apply HTP “Omics” technologies and systems analysis to murine and mycobacterial studies and to human field studies in tuberculosis. Data generated by HTP and targeted state-of-the-art approaches will be integrated through bioinformatic and modeling approaches, which, combined with domain expertise, will lead to a deep understanding of the molecular networks that underlie the progression of TB infection and response to treatment, and predict complex biological behaviors that lead to either containment or active disease; treatment cure or relapse. Multiple innovative HTP technologies will be leveraged and enhanced through this program. These technologies have been established in multiple experimental systems and will be customized and further developed for their application to this program and to clinical samples as appropriate. These developments will ensure data quality, and maximize the efficiency of data generation. The approaches chosen are innovative and state-of-the-art and will maximize our ability to complement and extend the existing comprehensive network models and provide spatial perspective for models generated as part of the original OTB program. We will disseminate modifications and improvements to extant technologies and detailed protocols broadly to enable adoption and further development by the community.

摘要 - 技术核心该U19提出了一种新颖且完全整合的方法来理解疾病进展和治疗结核病的反应（TB）。我们将结合传统的方法来理解结核病，细菌遗传学和免疫学，以及系统生物学方法，包括基因组学，转录组学，代谢组学，脂肪组学，蛋白质组学和计算建模。我们将应用HTP“ OMICS”技术以及对鼠和分枝杆菌研究的系统分析以及结核病的人类现场研究。数据由HTP和针对性的最先进方法生成的将通过生物信息学和建模方法与领域专业知识相结合，将深入了解结核病感染和对治疗反应的发展的分子网络，并预测复杂的生物学行为，导致遏制或活性疾病；治疗治疗或退休。通过该计划将利用和增强多种创新的HTP技术。这些技术已在多个实验系统中建立，并将被定制并进一步开发了他们在该计划中的应用，并适当地用于临床样本。这些事态发展会确保数据质量，并最大化数据生成的效率。方法选择是创新的和最先进的网络模型并为作为原始OTB程序的一部分生成的模型提供空间透视图。我们将在范围和详细协议上传播修改和改进实现社区的采用和进一步发展。