Molecular Imaging of cancer cells

癌细胞的分子成像

• 批准号: 7057801
• 负责人: GUANGWEN WAYNE ZHOU
• 金额: $ 16.58万
• 依托单位: LOUISIANA STATE UNIV A&M COL BATON ROUGE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-22 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7057801
• 关键词: adenocarcinoma; bioimaging /biomedical imaging; bioinformatics; biomarker; biotechnology; breast neoplasms; cancer registry /resource; colorectal neoplasms; computer system design /evaluation; confocal scanning microscopy; data management; human tissue; image processing; immunocytochemistry; microarray technology; molecular /cellular imaging; molecular biology information system; neoplasm /cancer classification /staging; neoplasm /cancer diagnosis; neoplastic cell; peptide library; prostate neoplasms; protein localization; proteomics; technology /technique development

DESCRIPTION (provided by applicant): This proposal is a response to the PA-04-095, "novel technologies for in vivo imaging". We want to develop an antibody microarray staining technology to simultaneously obtain the molecular images of hundreds even thousands of proteins in different cancer cells and tissue samples. The novel antibody microarray (called dissociable antibody microarray) is different from the conventional capture microarray, as the antibodies were delivered to specific locations of targeted samples. In collaboration with Hypromatrix Inc., we have developed a prototype type of this protein microarray-"dissociable antibody microarray" and have applied the "dissociable antibody microarray" in antibody microarray staining technology, which has combined the power of immunohistochemical staining and the parallel analysis of antibody microarrays. This innovative technology can provide a novel approach in global analysis of protein expressions and protein subcellular localizations. In this proposal, we shall develop and expand this technique, so that it can be utilized to determine the molecular images of 400-1000 proteins among different cancer cells and tissues. We also propose to setup a prototype image database for molecular images of 400-1000 proteins in cell line and tissue samples and develop a database management system that can conveniently retrieve those images and compare them under different conditions will be setup and evaluated. We shall also use three kinds of adenocarcinoma originated cancers (breast cancer, colorectal cancer and prostate cancer) as a model system to identify novel molecular biomarkers for cancer diagnosis and for clinical stage assignment, by using the antibody microarray staining technique.

描述（由申请人提供）： 该提案是对PA-04-095“体内成像新技术”的回应。我们希望开发一种抗体微阵列染色技术，以同时获得不同癌细胞和组织样本中数百甚至数千种蛋白质的分子图像。新型抗体微阵列（称为解离抗体微阵列）不同于传统的捕获微阵列，因为抗体被递送到靶向样品的特定位置。与Hypromatrix Inc.合作，我们已经开发了这种蛋白质微阵列的原型--“可解离抗体微阵列”，并将“可解离抗体微阵列”应用于抗体微阵列染色技术中，该技术结合了免疫组织化学染色的能力和抗体微阵列的平行分析。这项创新技术可以为蛋白质表达和蛋白质亚细胞定位的全局分析提供一种新的方法。 在本提案中，我们将发展和扩展该技术，使其可用于确定不同癌细胞和组织中400-1000种蛋白质的分子图像。我们还建议建立一个原型图像数据库，用于细胞系和组织样本中400-1000种蛋白质的分子图像，并开发一个数据库管理系统，可以方便地检索这些图像，并在不同的条件下进行比较。我们还将使用三种腺癌起源的癌症（乳腺癌、结直肠癌和前列腺癌）作为模型系统，通过使用抗体微阵列染色技术来鉴定用于癌症诊断和临床分期的新型分子生物标志物。

项目成果

Protein subcellular localization profiling of breast cancer cells by dissociable antibody microarray staining.

• DOI: 10.1002/pmic.200900585
• 发表时间: 2010-04
• 期刊: PROTEOMICS
• 影响因子: 3.4
• 作者: Fu, Guanyuan;Song, X. Cynthia;Yang, Xufen;Peng, Tao;Wang, Yingjian;Zhou, G. Wayne
• 通讯作者: Zhou, G. Wayne