Genomics and Bioinformatics Core

基因组学和生物信息学核心

• 批准号: 10586206
• 负责人: Evan D Rosen
• 金额: $ 10.96万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-15 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10586206
• 关键词: ATAC-seq; Address; Adopted; Algorithms; Antibodies; Area; Binding; Binding Sites; Bioinformatics; Biological; Boston; Cell Communication; Cells; ChIP-seq; Client; Complex; Consultations; Data; Data Analyses; Data Set; Databases; Deposition; Development; Diabetes Mellitus; Diagnosis; Education; Endocrinology; Enhancers; Ensure; Event; Experimental Designs; Generations; Genes; Genomics; Goals; Individual; Instruction; Laboratories; Libraries; Metabolic Diseases; Methods; Nuts; Obesity; Pathway Analysis; Preparation; Process; Protocols documentation; Quality Control; Research; Research Personnel; Risk; Sampling; Services; Split-Pool Ligation Transcriptome sequencing; System; Techniques; Technology; Testing; Tissues; community center; cost; data quality; data sharing networks; data visualization; differential expression; droplet sequencing; experimental study; functional genomics; genome browser; genome-wide; member; mindfulness; new technology; next generation sequencing; operation; promoter; single nucleus RNA-sequencing; single-cell RNA sequencing; skills; transcription factor; transcriptome sequencing

PROJECT SUMMARY/ABSTRACT There has been a revolution in biomedicine fueled by the development of next generation sequencing (NGS) technologies which has made it possible to address biological questions at a systems level. Now, instead of determining the effect of perturbing one gene, all genes can be assessed simultaneously. Instead of asking how a transcription factor binds to a single promoter or enhancer, all binding sites for that factor can be determined in a single experiment. In addition to looking at expression events across all the cells within a complex, heterogenous tissue, we can determine changes at the single cell level. Taking advantage of these approaches involves the application of specialized technical and analytical skills beyond the reach of most individual laboratories. Mindful of these issues, and of the need to apply cutting edge genome-wide technology to questions of relevance to diabetes, obesity, and metabolic disease, we have established a Functional Genomics and Bioinformatics Core. The goals of this Core are to provide access to state-of-the-art methods to members of the BADERC community in order to enhance and facilitate a deeper understanding of how metabolic disease develops, and how it can be diagnosed and treated.

项目概要/摘要 下一代的发展推动了生物医学的一场革命 测序（NGS）技术使解决生物学问题成为可能 系统级别。现在，不再需要确定干扰一个基因的效果，而是可以确定所有基因 同时评估。而不是询问转录因子如何与单个启动子结合 或增强子，该因子的所有结合位点都可以在单个实验中确定。此外 为了观察复杂、异质组织内所有细胞的表达事件，我们可以 确定单细胞水平的变化。利用这些方法涉及 专业技术和分析技能的应用超出了大多数人的能力范围 实验室。牢记这些问题，以及应用尖端全基因组的必要性 技术来解决与糖尿病、肥胖和代谢疾病相关的问题，我们有 建立了功能基因组学和生物信息学核心。该核心的目标是提供 向 BADERC 社区成员提供最先进的方法，以增强 并促进更深入地了解代谢疾病如何发展以及如何发生 诊断并治疗。