首页> 外文会议>ASMS Conference on Mass Spectrometry and Allied Topics >Discovery and Verification of Potential Cancer Biomarkers: An Integration of QqTOF, Multiple-Reaction Monitoring and Immunohistochemistry.
【24h】

Discovery and Verification of Potential Cancer Biomarkers: An Integration of QqTOF, Multiple-Reaction Monitoring and Immunohistochemistry.

机译:潜在癌症生物标志物的发现和验证:QQTOF,多反应监测和免疫组化的整合。

获取原文

摘要

Mass spectrometry-based proteomic strategies involving mass tagging of peptides permit the identification and quantification of proteins from control and test samples of tissue homogenates simultaneously. These approaches, when applied to cancer and non-malignant controls, provide a means for detection of differentially expressed proteins. When used to screen larger cohorts of samples, such techniques can indicate proteins that are consistently differentially expressed in the cancer samples, thus suggesting their possible utility as cancer biomarkers. Our efforts to discover potential biomarkers for endometrial cancer (EmCa) using iTRAQ technology and LC-MS/MS analysis on a QqTOF-type instrument have yielded promising results. Some of these potential biomarkers have been validated in studies involving immunohistochemistry in a tissue-microarray (TMA) format. In an effort to maximize the numbers of samples in which the potential cancer markers (PCMs) can be detected and quantified, as well as to improve sensitivity, we have developed a targeted approach that involves the use of multiple-reaction monitoring (MRM) scans on a triple-quadrupole/linear ion-trap mass spectrometer.
机译:涉及肽质量标记的基于质谱的蛋白质组学策略允许同时从组织匀浆的对照和测试样品中鉴定和定量蛋白质。当应用于癌症和非恶性对照时,这些方法提供了用于检测差异表达蛋白质的手段。当用于筛选较大的样品队列时,这些技术可以指示癌症样品中一致差异表达的蛋白质,从而表明其作为癌症生物标志物的可能效用。我们努力发现使用ITRAQ技术和LC-MS / MS分析的子宫内膜癌(EMCA)对QQTOF型仪器进行分析的潜在生物标志物已经产生了有希望的结果。其中一些潜在的生物标志物在涉及组织微阵列(TMA)形式的免疫组织化学中验证。为了最大化潜在的癌症标记(PCMS)可以检测和量化的样品的数量,以及提高灵敏度,我们开发了一种涉及使用多反应监测(MRM)扫描的目标方法在三重四极/线性离子阱质谱仪上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号