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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