首页> 美国卫生研究院文献>Proteome Science >Application of protein lysate microarrays to molecular marker verification and quantification
【2h】

Application of protein lysate microarrays to molecular marker verification and quantification

机译:蛋白质裂解物微阵列在分子标记物验证和定量中的应用

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-enzymatic protein detection methodology. Results from a set of quality control experiments are presented and demonstrate the high sensitivity and reproducibility of the LMA methodology. The optimized LMA methodology has been applied for verification of the presence and quantification of disease markers for atherosclerosis. LMA were used to measure lipoprotein [a] and apolipoprotein B100 in 52 carotid endarterectomy samples. The data generated by LMA were validated by ELISA using the same protein lysates. The correlations of protein amounts estimated by LMA and ELISA were highly significant, with r2 ≥ 0.98 (p ≤ 0.001) for lipoprotein [a] and with r2 ≥ 0.94 (p ≤ 0.001) for apolipoprotein B100. This is the first report to compare data generated using proteins microarrays with ELISA, a standard technology for the verification of the presence of protein biomarkers. The sensitivity, reproducibility, and high-throughput quality of LMA technology make it a potentially powerful technology for profiling disease specific protein markers in clinical samples.
机译:这项研究提出了蛋白质裂解物微阵列(LMA)技术的开发和应用,用于验证人体组织样品中蛋白质生物标志物的存在和定量。使用非酶蛋白检测方法已在LMA上实现了亚皮克级范围的灵敏度。提出了一组质量控制实验的结果,这些结果证明了LMA方法的高灵敏度和可重复性。优化的LMA方法已用于验证动脉粥样硬化疾病标志物的存在和定量。 LMA用于测量52例颈动脉内膜切除术样本中的脂蛋白[a]和载脂蛋白B100。使用相同的蛋白质裂解物,通过ELISA验证了LMA生成的数据。通过LMA和ELISA估算的蛋白质含量之间的相关性非常高,脂蛋白[a]的r 2 ≥0.98(p≤0.001),而r 2 ≥0.94(p对于载脂蛋白B100,p≤0.001)。这是第一份比较使用蛋白质微阵列和ELISA(一种用于验证蛋白质生物标志物存在的标准技术)的数据的报告。 LMA技术的灵敏度,可重复性和高通量质量使其成为在临床样品中分析疾病特异性蛋白质标记的潜在强大技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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