Suppr超能文献

使用多重miRNA分析确定绝对表达谱。

Determination of absolute expression profiles using multiplexed miRNA analysis.

作者信息

Song Yunke, Kilburn Duncan, Song Jee Hoon, Cheng Yulan, Saeui Christopher T, Cheung Douglas G, Croce Carlo M, Yarema Kevin J, Meltzer Stephen J, Liu Kelvin J, Wang Tza-Huei

机构信息

Biomedical Engineering Department, Johns Hopkins University, Baltimore, Maryland, United States of America.

Circulomics Inc, Baltimore, Maryland, United States of America.

出版信息

PLoS One. 2017 Jul 13;12(7):e0180988. doi: 10.1371/journal.pone.0180988. eCollection 2017.

Abstract

Accurate measurement of miRNA expression is critical to understanding their role in gene expression as well as their application as disease biomarkers. Correct identification of changes in miRNA expression rests on reliable normalization to account for biological and technological variance between samples. Ligo-miR is a multiplex assay designed to rapidly measure absolute miRNA copy numbers, thus reducing dependence on biological controls. It uses a simple 2-step ligation process to generate length coded products that can be quantified using a variety of DNA sizing methods. We demonstrate Ligo-miR's ability to quantify miRNA expression down to 20 copies per cell sensitivity, accurately discriminate between closely related miRNA, and reliably measure differential changes as small as 1.2-fold. Then, benchmarking studies were performed to show the high correlation between Ligo-miR, microarray, and TaqMan qRT-PCR. Finally, Ligo-miR was used to determine copy number profiles in a number of breast, esophageal, and pancreatic cell lines and to demonstrate the utility of copy number analysis for providing layered insight into expression profile changes.

摘要

准确测量微小RNA(miRNA)的表达对于理解其在基因表达中的作用以及作为疾病生物标志物的应用至关重要。正确识别miRNA表达的变化依赖于可靠的标准化,以解释样本之间的生物学和技术差异。Ligo-miR是一种多重检测方法,旨在快速测量绝对miRNA拷贝数,从而减少对生物对照的依赖。它采用简单的两步连接过程生成长度编码产物,可使用多种DNA大小测定方法进行定量。我们证明了Ligo-miR能够将miRNA表达定量到每细胞20个拷贝的灵敏度,准确区分密切相关的miRNA,并可靠地测量低至1.2倍的差异变化。然后,进行了基准研究,以显示Ligo-miR、微阵列和TaqMan qRT-PCR之间的高度相关性。最后,Ligo-miR被用于确定多种乳腺、食管和胰腺细胞系中的拷贝数谱,并证明拷贝数分析在深入了解表达谱变化方面的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6773/5509254/a4a867fd44f0/pone.0180988.g001.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