High-Definition Characterization of the Persistence and Perturbation of the HIV Reservoir: Data Analytics & Modeling Core

HIV 病毒库的持续性和扰动的高清表征：数据分析

基本信息

批准号：
10654763
负责人：
Jonathan Li
金额：
$ 16.3万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-01 至 2027-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10654763
关键词：
Antibody Therapy Binding Bioinformatics Biological Biometry Cells Central Nervous System Collaborations Complex Consequences of HIV Data Data Analyses Data Analytics Data Set Disease remission Doctor of Philosophy Equilibrium Genome Goals HIV HIV Infections Immune response Immunologics Immunotherapeutic agent Individual Infection Institution Investigation Maintenance Methodology Methods Modeling Nature Phenotype Phylogenetic Analysis Plasma Proliferating Property Provirus Integration Proviruses Research Research Personnel Research Project Grants Role Source Technical Expertise Therapeutic Time Tissues Viral Viremia advanced analytics analytical method antiretroviral therapy biomathematics data integration data modeling design experience experimental study high dimensionality integration site mathematical model member multiple omics next generation novel therapeutics outcome prediction peripheral blood programs single cell sequencing synergism viral rebound

项目摘要

PROJECT SUMMARY HIV infection can persist long-term antiretroviral therapy as a reservoir of provirus integrated into host cell genomes. The stability and activity of this reservoir depends on the complex interplay between viral and host mechanisms. The overall goal of this P01 is to characterize the mechanisms of formation, persistence, reactivation, and therapeutic responsiveness of the HIV reservoir in unprecedented detail. This will involve generating high-dimensional and longitudinal single-cell and single-genome datasets. The role of the Data Analytics & Modeling Core is to provide specialized quantitative methods to each of the research projects to aid in the design and interpretation of the experimental studies. The Core will bring together analytical experts contributing to each project to collaboratively plan, conduct, and interpret analyses. Core members will develop and apply state-of-the-art bioinformatic methods to interpret high-dimensional biological data characterizing the HIV reservoir. They will additionally develop and apply mechanistic viral dynamics models to understand the mechanism of reservoir formation, persistence, and reactivation, with the long-term goal of predicting outcomes of novel therapeutics. Overall the Data Analytics & Modeling Core will advance the goals of this program project by building a more complete understanding of the causes and consequences of HIV reservoir dynamics.

项目摘要 HIV感染可以持续长期抗逆转录病毒疗法，作为整合到宿主细胞中的病毒的储层基因组。该储层的稳定性和活性取决于病毒和宿主之间的复杂相互作用机制。该P01的总体目标是表征形成，持久性，艾滋病毒水库的重新激活以及前所未有的细节的治疗反应能力。这将涉及生成高维和纵向单细胞和单基因组数据集。数据的作用分析和建模核心是为每个研究项目提供专业的定量方法有助于实验研究的设计和解释。核心将汇集分析专家为每个项目做出共同计划，进行和解释分析。核心成员将发展并应用最先进的生物信息学方法来解释高维生物学数据的表征艾滋病毒水库。他们还将开发并应用机械病毒动力学模型，以了解储层形成，持久性和重新激活的机制，其长期目标是预测新型治疗剂的结果。总体而言，数据分析和建模核心将促进目标的目标通过对艾滋病毒水库的原因和后果建立计划项目动力学。