Suppr超能文献

利用干血斑进行可重复的基于 MRM 的生物标志物发现。

Towards reproducible MRM based biomarker discovery using dried blood spots.

机构信息

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.

Department of Chemical Engineering and Biotechnology, Psynova Neurotech Ltd, Cambridge, United Kingdom.

出版信息

Sci Rep. 2017 Mar 27;7:45178. doi: 10.1038/srep45178.

Abstract

There is an increasing interest in the use of dried blood spot (DBS) sampling and multiple reaction monitoring in proteomics. Although several groups have explored the utility of DBS by focusing on protein detection, the reproducibility of the approach and whether it can be used for biomarker discovery in high throughput studies is yet to be determined. We assessed the reproducibility of multiplexed targeted protein measurements in DBS compared to serum. Eighty-two medium to high abundance proteins were monitored in a number of technical and biological replicates. Importantly, as part of the data analysis, several statistical quality control approaches were evaluated to detect inaccurate transitions. After implementing statistical quality control measures, the median CV on the original scale for all detected peptides in DBS was 13.2% and in Serum 8.8%. We also found a strong correlation (r = 0.72) between relative peptide abundance measured in DBS and serum. The combination of minimally invasive sample collection with a highly specific and sensitive mass spectrometry (MS) technique allows for targeted quantification of multiple proteins in a single MS run. This approach has the potential to fundamentally change clinical proteomics and personalized medicine by facilitating large-scale studies.

摘要

人们越来越感兴趣地使用干血斑(DBS)采样和多重反应监测进行蛋白质组学研究。尽管已经有几个小组专注于蛋白质检测来探索 DBS 的实用性,但该方法的可重复性以及它是否可用于高通量研究中的生物标志物发现仍然需要确定。我们评估了 DBS 与血清相比在多重靶向蛋白质测量中的可重复性。在多个技术和生物学重复中监测了 82 种中等到高丰度的蛋白质。重要的是,作为数据分析的一部分,评估了几个统计质量控制方法来检测不准确的转变。在实施统计质量控制措施后,DBS 中所有检测到的肽的原始标度中位数 CV 为 13.2%,血清为 8.8%。我们还发现 DBS 和血清中测量的相对肽丰度之间存在很强的相关性(r=0.72)。这种微创样本采集与高度特异性和灵敏的质谱(MS)技术的结合允许在单个 MS 运行中靶向定量多种蛋白质。这种方法有可能通过促进大规模研究来从根本上改变临床蛋白质组学和个性化医疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd32/5366927/a70c186dee8a/srep45178-f1.jpg

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