Non-coding RNA & Bioinformatics Core

非编码RNA

• 批准号: 8693121
• 负责人: Kasey C Vickers
• 金额: $ 26.33万
• 依托单位: VANDERBILT UNIVERSITY
• 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/8693121
• 关键词: Base Sequence; Bioinformatics; Chronic Kidney Failure; Complex; DNA Sequence; Data Analyses; Familial Hypercholesterolemia; Functional RNA; Functional disorder; Gene Expression Profile; Genetic Transcription; Goals; High Density Lipoproteins; Housing; Messenger RNA; Modification; Pathway interactions; Publishing; RNA Sequences; Research; Sequence Analysis; System; Training; data integration; data management; design; human disease; next generation; programs; success; transcriptome sequencing

The purpose of this program is to significantly advance our understanding of mechanisms of HDL Dysfunction in (1) Familial Hypercholesterolemia and (2) Chronic Kidney Disease, as well as the impact of (3) Oxidative modifications to HDL. The proposed research strategies are highly cross disciplinary and require extensive next-generation RNA sequencing and transcriptome-scale analysis. An effective and dedicated non-coding RNA and bioinformatics core is essential for the success of the proposed studies. Specifically, the Non-Coding RNA and Bioinformatics Core is designed to handle the large volume of sequencing needs and data analysis for Projects 1, 2, and 3. We are highly trained, skilled, and published in smRNA-Seq. and RNA seq. Furthermore, we have developed in-house sequencing analysis pipelines that will be implemented by computational biologists and biostatisticians under the guidance of the Core Leader, Dr. Kasey C. Vickers. The purpose of the Non-Coding RNA and Bioinformatics Core is to use massive parallel DNA sequencing to analyze small and long RNA expression and abundance associated with HDL dysfunction in a timely and efficiently manner with high-quality data management and integration into complex bioinformatics systems.

该计划的目的是显着推进我们对HDL功能障碍机制的理解（1）家族性高胆固醇血症和（2）慢性肾脏疾病，以及（3）氧化修饰对HDL的影响。拟议的研究策略是高度跨学科的，需要广泛的下一代RNA测序和转录组规模的分析。一个有效和专用的非编码RNA和生物信息学核心是拟议研究成功的关键。具体而言，非编码RNA和生物信息学核心旨在处理项目1，2和3的大量测序需求和数据分析。我们训练有素，技术熟练，并在smRNA-Seq上发表。和RNA测序。此外，我们还开发了内部测序分析管道，将由计算生物学家和生物统计学家在核心负责人Kasey C.维克斯.非编码RNA和生物信息学核心的目的是使用大规模并行DNA测序，以及时有效的方式分析与HDL功能障碍相关的小RNA和长RNA表达和丰度，并进行高质量的数据管理和整合到复杂的生物信息学系统中。