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Genomics and Bioinformatics Core

基因组学和生物信息学核心

基本信息

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
项目类别：
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

项目摘要

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.

项目总结/摘要下一代的发展推动了生物医学的革命测序（NGS）技术，这使得有可能解决生物学问题，系统级。现在，不是确定干扰一个基因的影响，而是所有基因都可以被干扰。同时评估。与其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可在单个实验中确定。此外为了观察复杂的异质组织中所有细胞的表达事件，我们可以确定单细胞水平的变化。利用这些方法涉及到专业技术和分析技能的应用超出了大多数个人的能力范围 laboratories.注意到这些问题，以及应用尖端全基因组技术的必要性，技术与糖尿病、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。本核心的目标是提供向BADERC社区成员提供最先进的方法，以提高并有助于更深入地了解代谢性疾病的发展，以及它如何诊断和治疗。