Computation and Biostatistics Core

计算和生物统计学核心

基本信息

批准号：
9750612
负责人：
David Gjertson
金额：
$ 23.53万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
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/9750612
关键词：
Address Allogenic Area Biological Models Biometry Biostatistics Core CEACAM1 California Categories Cells Classification Clinical Complement Computer software Custom Data Data Analyses Data Quality Data Set Development Dimensions Doctor of Philosophy Dose Ensure Feedback Goals Hepatic Human Immune Immune response Immunological Models Inflammatory Response Infrastructure Knowledge Los Angeles Manuscripts Measurement Measures Methodology Microsurgery Modeling Molecular Monitor Mus Outcome Pathway Analysis Pathway interactions Patients Periodicity Phenotype Preparation Principal Component Analysis Protocols documentation Quality Control Regulation Regulator Genes Reperfusion Injury Reporting Research Personnel Research Project Grants Resource Sharing Resources Role Sampling Services Signal Pathway Signal Transduction Statistical Data Interpretation Statistical Methods Stress Survival Analysis Techniques Therapeutic Training Transplantation Universities Visit cell injury clinical decision support cofactor data management data modeling data reduction design dynamic system experimental study falls immune activation immunoregulation improved insight knowledge base liver transplantation mathematical model molecular modeling mouse model multi-scale modeling network models novel predictive modeling response tool transcriptome transcriptome sequencing transcriptomics

项目摘要

Computational Core: Biostatistical Analysis and Network Modeling Core Co-Directors: David Gjertson PhD and Alexander Hoffmann PhD SUMMARY This application proposes three research Projects and three Cores for shared resources led by investigators at the University of California Los Angeles (UCLA), centered around the theme of investigating innate-adaptive immunoregulation in liver transplant ischemia/reperfusion Injury (IRI). Projects I and II focus on modulation of IRI immune responses following hepatic grafting in syngeneic and allogeneic murine models, respectively; whereas, Project III concentrates on elucidating the role of IRI on immunoregulation following human OLT. Core C provides data management, biostatistical and computational expertise required for the proper analysis and network modeling of data generated by Projects. Statistical and mechanistic modeling will allow the integration of diverse datasets to develop predictions, and may generate new findings and insights by comparing the datasets from the three types of liver transplants. Services will be provided in the following areas: • Data quality control, monitoring and management. • A central infrastructure for data preprocessing of high throughput molecular data. • Biostatistical design, statistical monitoring of studies to ensure interpretability of results. • Statistical analysis and interpretation of diverse datasets. • Development of biostatistical methodology for statistical problems in these projects. • Modeling molecular networks to interpret transcriptome data and provide knowledge-based dimensionality reduction • Modeling the immune-cell dynamics to interpret immune-phenotyping datasets and integrate molecular and cellular scale data and analyses. • Assistance with manuscript preparation.

计算核心：生物统计分析和网络建模核心联合导演：David Gjertson博士和Alexander Hoffmann博士概括该申请提出了三个研究项目和三个核心，用于由调查人员领导的共享资源加利福尼亚大学洛杉矶分校（UCLA）以调查先天自适应的主题为中心肝移植缺血/再灌注损伤（IRI）的免疫调节。 I和II的项目专注于调制 IRI肝脏嫁接后的IRI免疫调查，分别在同种异体和同种异体鼠模型中；而III项目集中于阐明IRI在人类OLT后免疫调节中的作用。 Core C提供了适当分析所需的数据管理，生物统计学和计算专业知识和项目生成的数据的网络建模。统计和机械建模将允许集成潜水员数据集以开发预测，并可能通过比较来产生新的发现和见解来自三种类型的肝移植的数据集。服务将在以下领域提供： •数据质量控制，监视和管理。 •用于数据预处理高通量分子数据的中央基础架构。 •生物统计设计，对研究的统计监测，以确保结果的解释性。 •潜水员数据集的统计分析和解释。 •开发这些项目中统计问题的生物统计学方法。 •对分子网络进行建模以解释转录组数据并提供基于知识的维度减少 •对免疫细胞动力学进行建模以解释免疫 - 表型数据集和集成分子和细胞尺度数据和分析。 •协助手稿准备。