Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray.

IF 1.3 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Journal of Nucleic Acids Pub Date : 2012-01-01 Epub Date: 2012-06-10 DOI:10.1155/2012/283560
Konstantinia Skreka, Marek Zywicki, Michael Karbiener, Alexander Hüttenhofer, Marcel Scheideler, Mathieu Rederstorff
{"title":"Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray.","authors":"Konstantinia Skreka,&nbsp;Marek Zywicki,&nbsp;Michael Karbiener,&nbsp;Alexander Hüttenhofer,&nbsp;Marcel Scheideler,&nbsp;Mathieu Rederstorff","doi":"10.1155/2012/283560","DOIUrl":null,"url":null,"abstract":"<p><p>Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.</p>","PeriodicalId":16575,"journal":{"name":"Journal of Nucleic Acids","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2012/283560","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nucleic Acids","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2012/283560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2012/6/10 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 3

Abstract

Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.

Abstract Image

Abstract Image

Abstract Image

使用混合DNA/ rna微阵列的异质ncrna群体表达谱分析。
哺乳动物转录组主要由非蛋白编码rna组成。这些ncrna在所有细胞中发挥着不同的作用,参与多种调控途径。最近,ncrna也被描述为有价值的诊断工具。虽然RNA-seq方法逐渐取代了基于微阵列的高通量表达谱技术,但它们仍未常规用于诊断。另一方面,微阵列更广泛地用于诊断分析,特别是对于非常小的ncRNA(例如mirna),采用锁定核酸(LNA)阵列。然而,对于针对较长ncrna的高通量研究,rna微阵列非常昂贵,而DNA阵列对于小rna的分析则不能提供令人满意的结果。在这里,我们描述了一个混合DNA/ RNA微阵列平台,其中直接标记的小RNA和较长的ncrna分别在LNA探针或定制DNA探针上杂交,从而能够在一个单一的实验中在一个独特的阵列上对复杂的RNA群体进行敏感和特异性的分析。DNA/LNA系统需要相对较少的总RNA量,符合诊断参考,成功应用于小鼠胚胎干细胞和成人脑细胞中ncRNA表达差异的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Nucleic Acids
Journal of Nucleic Acids BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
3.10
自引率
21.70%
发文量
5
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信