Computation and Biostatistics Core

计算和生物统计学核心

• 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
• 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

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 核心联合主任：David Gjertson 博士和 Alexander Hoffmann 博士 概括 该申请提出了由研究人员领导的三个研究项目和三个共享资源核心 加州大学洛杉矶分校 (UCLA)，以研究先天适应性为主题 肝移植缺血/再灌注损伤（IRI）中的免疫调节。项目一和二重点关注调制 分别在同基因和同种异体小鼠模型中肝移植后的 IRI 免疫反应； 而项目 III 的重点是阐明 IRI 对人类 OLT 后免疫调节的作用。 核心 C 提供正确分析所需的数据管理、生物统计和计算专业知识 以及项目生成的数据的网络建模。统计和机械建模将允许 整合不同的数据集来进行预测，并可以通过比较产生新的发现和见解 来自三种类型的肝移植的数据集。 将在以下领域提供服务： • 数据质量控制、监控和管理。 • 用于高通量分子数据数据预处理的中央基础设施。 • 生物统计设计、研究统计监测以确保结果的可解释性。 • 不同数据集的统计分析和解释。 • 针对这些项目中的统计问题开发生物统计方法。 • 建模分子网络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并整合分子和 细胞规模的数据和分析。 • 协助准备稿件。