Suppr超能文献

定量斑点印迹 (QDB) 作为组织生物标志物绝对定量的通用平台。

Quantitative Dot Blot (QDB) as a universal platform for absolute quantification of tissue biomarkers.

机构信息

Yantai Quanticision Diagnostics Inc., A Division of Quanticision Diagnostics, Inc. (US), Yantai Hi-tech District, Shandong, 264670, PR China.

Laboratory of Molecular Pathology, Department of Pathology, Affiliated Yantai Yuhuangding Hospital, Qingdao University, PR China.

出版信息

Anal Biochem. 2019 Jul 1;576:42-47. doi: 10.1016/j.ab.2019.04.003. Epub 2019 Apr 8.

Abstract

To circumvent the limitations associated with sandwich ELISA for tissue biomarker quantitation, Quantitative Dot Blot method (QDB) was proposed using antibodies clinically validated for immunohistochemistry (IHC), as this method requires only one primary antibody in the analysis. The protein levels of four breast cancer tissue biomarkers, including Estrogen Receptor (ER), Progesterone Receptor (PR), Ki67 and Her2, were absolutely quantitated successfully in 190 frozen breast tissue biopsies, and the results were further verified with provided IHC results. We propose QDB method as an alternative platform to Sandwich ELISA for absolute quantitation of tissue biomarkers with significantly reduced developing effort and time.

摘要

为了规避与组织生物标志物定量的三明治 ELISA 相关的局限性,提出了使用经过临床验证的用于免疫组织化学(IHC)的抗体的定量点印迹(QDB)方法,因为该方法在分析中仅需要一种一抗。成功地对 190 个冷冻的乳腺癌组织活检样本中的四种乳腺癌组织生物标志物(包括雌激素受体(ER)、孕激素受体(PR)、Ki67 和 Her2)进行了绝对定量,并且结果与提供的 IHC 结果进一步验证。我们提出 QDB 方法作为替代平台,用于通过显著减少开发工作和时间来对组织生物标志物进行绝对定量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验