Gene Microarray Core Facility

基因微阵列核心设施

• 批准号: 7686584
• 负责人: Damien Chaussabel
• 金额: $ 20.55万
• 依托单位: BAYLOR RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7686584
• 关键词: Acute; Biological Assay; Blood; Blood specimen; Candidate Disease Gene; Categories; Cells; Characteristics; Class; Clinical; Clinical Microbiology; Computer software; Core Facility; Culture Techniques; Databases; Decision Making; Detection; Development; Diagnosis; Diagnostic; Diagnostic Procedure; Flu virus; Gene Expression; Gene Expression Microarray Analysis; Gene Expression Profiling; Generations; Genes; Goals; Harvest; Human; Human Characteristics; Immune System Diseases; Immune response; In Vitro; Infection; Infection Control; Leukocytes; Malignant Neoplasms; Measures; Messenger RNA; Microarray Analysis; Modeling; Molecular; Molecular Diagnosis; Monoclonal Antibodies; National Institute of Allergy and Infectious Disease; Patients; Polymerase Chain Reaction; Procedures; Public Health; Purpose; RNA; Research Personnel; Research Project Grants; Sampling; Screening procedure; Services; Standards of Weights and Measures; System; Systemic Lupus Erythematosus; Techniques; Technology; Therapeutic; Therapeutic Intervention; Time; Vaccines; Viral; base; biothreat; in vivo; malignant breast neoplasm; microbial; microorganism; novel; pathogen; prognostic; response

Core B: The overall goal of this Center proposal is to develop effective diagnostic, prognostic and therapeutic measures against NIAID Category A-C pathogens. In particular, we wish to establish biosignatures of human cells exposed in vitro and in vivo to Category A-C pathogens. In this context, the main purpose of this Microarray Core will be to provide Center's Investigators with expertise in microarray gene expression analysis of human cells. Our long term goal is to establish microarray analysis of blood leukocytes as a platform technology for the diagnosis of biothreat exposure and decision making with regard to therapeutics and, on a larger scale, Public Health. Microarray analysis of gene expression in cancer has already been put in clinical practice for the routine prognostic screening in patients with breast cancer. Our preliminary results demonstrate the diagnostic and prognostic value of microarray blood analysis in patients with Systemic Lupus Erythematosus, thus extending the application of this technology beyond cancer and towards immune dysfunction. Our strategy will be based on a comprehensive analysis of human cells response to different classes of pathogenic microorganisms in vitro and in vivo. This will allow identification of common molecular host biosignatures induced by different microbial infections, prompt diagnosis of exposure and identification of a class of pathogen. The goal of this Core is to provide Affymetrix based analysis of gene expression patterns of human cells exposed to Class A-C pathogens in vitro and in vivo. The objectives are: 1) To establish and distribute within the Center relevant standard operating procedures (SOP's). 2) To analyze, using Affymetrix technology and GeneSpring expression analysis software, samples obtained from Investigators of the Center. 3) To validate expression levels of candidate genes by real-time PCR. 4) To organize and maintain LIMS and Microsoft Access database system, which contains > 500 samples. 5) To be abreast with progresses in the field, most particularly technology and analysis software. The Core will provide support and expertise to virtually all Center's Investigators.

核心B：该中心提案的总体目标是开发有效的诊断、预后和 针对NIAID A-C类病原体的治疗措施。特别是，我们希望确定 人体细胞在体外和体内暴露于A-C类病原体的生物特征。在这方面， 该微阵列核心的主要目的将是为中心的研究人员提供微阵列方面的专业知识 人类细胞的基因表达分析。 我们的长期目标是建立血液白细胞微阵列分析作为一种平台技术 生物硫酸盐暴露的诊断和治疗方面的决策，在更大的范围内， 公共卫生。癌症基因表达的微阵列分析已经应用于临床 乳腺癌患者的常规预后筛查。我们的初步结果表明 基因芯片血液分析对系统性红斑狼疮的诊断和预后价值 从而将这项技术的应用范围扩大到癌症以外的免疫功能障碍。 我们的战略将基于对人类细胞对不同类别的 体外和体内的致病微生物。这将允许识别共同的分子宿主 不同微生物感染引起的生物特征，暴露的快速诊断和鉴定 病原体的类别。此核心的目标是提供基于Affymetrix的基因表达模式分析 在体外和体内暴露于A-C类病原体的人类细胞。目标是： 1)在中心内建立和分发相关的标准操作程序(SOP)。 2)利用Affymetrix技术和GeneSpring表达分析软件对样本进行分析 从该中心的调查人员处获得。 3)用实时荧光定量聚合酶链式反应验证候选基因的表达水平。 4)组织和维护LIMS和Microsoft Access数据库系统，该数据库系统包含500个样品。 5)与该领域的进展保持同步，尤其是技术和分析软件。 该中心将为几乎所有中心的调查人员提供支持和专业知识。