Non-Coding RNA Analytical Core

摘要 这个项目的目的是显著提高我们对高密度脂蛋白功能障碍机制的理解 项目(1)家族性高胆固醇血症(2)慢性肾脏疾病，(3)小RNA，和(4)反应性 二羰基修饰为高密度脂蛋白。建议的研究策略是高度跨学科的，需要 广泛的下一代RNA测序、数据分析和数据集成。一个有效而专注的非政府组织 编码RNA和生物信息学核心对于每个项目和 总体规划。具体地说，非编码RNA和生物信息学核心旨在处理大型 所有4个项目的测序需求和数据分析的数量。我们训练有素，技术娴熟，经验丰富 在生成sRNA-seq文库、批量总RNA-seq文库和10倍铬单细胞RNA测序中 (scRNA-seq)高通量测序的准备。我们精通执行质量控制步骤 完成排序任务。此外，我们还开发了内部测序分析管道 这将由计算生物学家和生物统计学家在现有的 在过去的6年里密切合作的信息学团队。非编码RNA的用途和 生物信息学的核心是利用高通量的RNA测序和信息学来分析小RNA和长RNA 与高密度脂蛋白功能障碍和动脉粥样硬化治疗相关的表达变化 以高质量的数据管理和集成到复杂的生物信息学系统的方式。

Summary The purpose of this program is to significantly advance our understanding of mechanisms of HDL Dysfunction in Projects (1) familial hypercholesterolemia (2) chronic kidney disease, (3) small RNAs, and (4) reactive dicarbonyl modification to HDL. The proposed research strategies are highly cross-disciplinary and require extensive next-generation RNA sequencing, data analysis, and data integration. An effective and dedicated non- coding RNA and bioinformatics core is essential for the success of the proposed studies in each project and the overall program. Specifically, the Non-Coding RNA and Bioinformatics Core is designed to handle the large volume of sequencing needs and data analyses for all 4 projects. We are highly trained, skilled, and experienced in generating sRNA-seq libraries, bulk total RNA-seq libraries, and 10X Chromium single cell RNA sequencing (scRNA-seq) preparations for high-throughput sequencing. We are proficient in performing quality control steps and completing the sequencing tasks. Furthermore, we have developed in-house sequencing analysis pipelines that will be implemented by computational biologists and biostatisticians under the guidance of an existing informatics team that has worked closely over the past 6 years. The purpose of the Non-Coding RNA and Bioinformatics Core is to use high-throughput RNA sequencing and informatics to analyze small and long RNA expression changes associated with HDL dysfunction and atherosclerosis treatments in a timely and efficiently manner with high-quality data management and integration into complex bioinformatics systems.