Suppr超能文献

表达显微切割:用于分子谱分析的细胞的独立于操作者的获取

Expression microdissection: operator-independent retrieval of cells for molecular profiling.

作者信息

Tangrea Michael A, Chuaqui Rodrigo F, Gillespie John W, Ahram Mamoun, Gannot Gallya, Wallis Benjamin S, Best Carolyn J M, Linehan W Marston, Liotta Lance A, Pohida Thomas J, Bonner Robert F, Emmert-Buck Michael R

机构信息

Pathogenetics Unit, Laboratory of Pathology and Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.

出版信息

Diagn Mol Pathol. 2004 Dec;13(4):207-12. doi: 10.1097/01.pdm.0000135964.31459.bb.

Abstract

Tissue microdissection is an important method for the study of disease states. However, it is difficult to perform high-throughput molecular analysis with current techniques. We describe here a prototype version of a novel technique (expression microdissection) that allows for the procurement of desired cells via molecular targeting. Expression microdissection (xMD) offers significant advantages over available methods, including an increase in dissection speed of several orders of magnitude. xMD may become a valuable tool for investigators studying cancer or other disease states in patient specimens and animal models.

摘要

组织显微切割是研究疾病状态的一种重要方法。然而,利用当前技术进行高通量分子分析存在困难。我们在此描述一种新技术(表达显微切割)的原型版本,该技术可通过分子靶向获取所需细胞。与现有方法相比,表达显微切割(xMD)具有显著优势,包括切割速度提高几个数量级。对于在患者标本和动物模型中研究癌症或其他疾病状态的研究人员而言,xMD可能会成为一种有价值的工具。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验