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Core--GENOMICS

Core--GENOMICS
核心--基因组学
批准号:
6948002
负责人:
Simon Melov
金额:
$6.04万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-01 至 2010-06-30

项目摘要

项目成果

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中文摘要
翻译
Genomics Core通过高通量自动化生产DNA微阵列,包括机器人生产和在玻片上标记cDNA或寡核苷酸。核心功能主要是为巴克研究人员和外部用户提供微阵列实验的设计和分析。现有资源包括:用于小鼠和苍蝇的cDNA芯片,用于人类、小鼠和蠕虫的寡核苷酸芯片,以及用于制备、斑点、杂交、定量和分析这些不同物种微阵列芯片的适当仪器。由核心产生的数据存档是通过将量化数据文件上传到Genetraffic(一种市售软件包)来完成的,这有助于通过密码保护系统远程检索相关数据,以及对差异基因表达的基本分析。在过去的几年里,核心还开发了使用的专业知识
英文摘要
The Genomics Core produces DNA microarrays through high throughput automation, and involves robotic production and spotting of either cDNA or oligonucleotides onto glass slides. The core functions primarily to serve Buck investigators and outside users, in both the design and analysis of microarray experiments. The resources available include: cDNA chips for mice and fly, oligo chips for humans, mice, and worms, and the appropriate instrumentation to prepare, spot, hybridize, quantitate and analyze microarray chips from these diverse species. Archiving of data generated by the core is accomplished by uploading the quantitated data files into Genetraffic (a commercially available package), which facilitates remote retrieval of the relevant data via a password protected system, as well as rudimentary analysis of differential gene expression. Over the last several years, the core has also developed expertise in using academically developed statistical analysis modules, specifically designed for the analysis of microarray data. All these packages are free, and are developed and maintained in the computing environment "R", and listed at the bioconductor website (www.bioconductor.org).The Core is currently promoting aging research within the institute by providing service to a number of laboratories, and this has resulted in a several publications. The Buck Institute Genomics Core also currently serves outside users by providing microarray expertise and service for studies related to aging and age-related disease.
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会议论文
Mapping and validating senescent cells in human muscle, ovary and breast
Single cell analysis core
Single cell analysis core
Evaluating diverse technologies for detecting and validating senescent cells in vivo
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