Integrative genomic framework for dissecting regulatory mechanisms underlying hepatocellular carcinoma

剖析肝细胞癌调控机制的整合基因组框架

• 批准号: 9296968
• 负责人: Nathalie Pochet
• 金额: $ 22.73万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-12 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9296968
• 关键词: Algorithmic Software; Algorithms; Automobile Driving; Bioconductor; Biogenesis; Biological Models; Biology; Cancer Biology; Cancer Etiology; Cause of Death; Cells; Chronic; Chronic Hepatitis B; Cirrhosis; Communities; Computer Analysis; Data; Disease; Disease Progression; Etiology; Future; Gene Expression; Genes; Genetic Transcription; Genomic approach; Genomics; Goals; Hepatitis B; Hepatitis C; Hepatocarcinogenesis; Hepatocyte; Infection; Inflammation; Laboratories; Liver; Liver diseases; Malignant Neoplasms; Malignant neoplasm of liver; Measures; Modeling; Pathogenesis; Pathway interactions; Patients; Prevention; Primary carcinoma of the liver cells; Proteome; Proteomics; Research Personnel; Risk; Risk Factors; System; Technology; Time; Tissues; Virus; Virus Diseases; base; cancer prevention; cancer risk; carcinogenesis; computer framework; computerized tools; disorder risk; functional genomics; genetic signature; genome-wide; high risk; insight; model development; novel strategies; pathogen; predictive marker; programs; response; software development; tool; transcriptome; transcriptome sequencing; user-friendly; viral carcinogenesis

Project Summary Chronic viral infections are major causes of chronic inflammation and cancer. A well characterized example is virus-induced liver disease and hepatocellular carcinoma, the second leading cause of death world-wide. Using virus-induced liver disease and cancer as a model, we aim to develop sophisticated computational tools to investigate the host cell reprogramming induced by viruses during cancerogenesis. Leveraging and enhancing advanced computational approaches, we will develop an integrative genomic framework to identify the regulatory modules driving transcriptional and proteomic reprogramming associated with persistent viral infection and carcinogenesis. More specifically, we will develop a toolbox that allows for inferring regulatory mechanisms from time course data derived from different viral infections associated with similar disease biology and multiple functional genomics levels in an integrated manner. We hypothesize that the computational toolbox developed within this program will contribute to understand viral carcinogenesis and identify novel strategies for cancer prevention.

项目摘要 慢性病毒感染是慢性炎症和癌症的主要原因。一个典型的例子 是病毒引起的肝病和肝细胞癌，是世界范围内第二大死亡原因。 使用病毒引起的肝病和癌症作为模型，我们的目标是开发复杂的计算模型， 研究癌症发生过程中病毒诱导的宿主细胞重编程的工具。利用和 加强先进的计算方法，我们将开发一个综合的基因组框架， 识别驱动转录和蛋白质组重编程的调控模块， 持续的病毒感染和致癌作用。更具体地说，我们将开发一个工具箱， 从不同病毒感染相关的时间进程数据推断调节机制 具有相似的疾病生物学和多个功能基因组学水平。我们 我假设在这个程序中开发的计算工具箱将有助于理解病毒 致癌作用，并确定预防癌症的新策略。