首页> 外文期刊>Nucleic Acids Research >aRNA-longSAGE: a new approach to generate SAGE libraries from microdissected cells - art. no. e131
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aRNA-longSAGE: a new approach to generate SAGE libraries from microdissected cells - art. no. e131

机译:aRNA-longSAGE:从显微解剖的细胞生成SAGE文库的新方法-art。没有。 e131

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摘要

Large-scale gene expression analyses of microdissected primary tissue are still difficult because generally only a limited amount of mRNA can be obtained from microdissected cells. The introduction of the T7-based RNA amplification technique was an important step to reduce the amount of RNA needed for such analyses. This amplification technique produces amplified antisense RNA (aRNA), which so far has precluded its direct use for serial analysis of gene expression (SAGE) library production. We describe a method, termed 'aRNA-longSAGE', which is the first to allow the direct use of aRNA for standard longSAGE library production. The aRNA-longSAGE protocol was validated by comparing two aRNA-longSAGE libraries with two Micro-longSAGE libraries that were generated from the same RNA preparations of two different cell lines. Using a conservative validation approach, we were able to verify 68% of the differentially expressed genes identified by aRNA-longSAGE. Furthermore, the identification rate of differentially expressed genes was roughly twice as high in our aRNA-longSAGE libraries as in the standard Micro-longSAGE libraries. Using our validated aRNA-longSAGE protocol, we were able to successfully generate longSAGE libraries from as little as 40 ng of total RNA isolated from 2000-3000 microdissected pancreatic ductal epithelial cells or cells from pancreatic intraepithelial neoplasias.
机译:显微解剖的原代组织的大规模基因表达分析仍然很困难,因为从显微解剖的细胞中通常只能获得有限量的mRNA。基于T7的RNA扩增技术的引入是减少此类分析所需的RNA数量的重要步骤。这种扩增技术可产生扩增的反义RNA(aRNA),到目前为止,它尚不能直接用于基因表达(SAGE)库生产的系列分析。我们描述了一种称为“ aRNA-longSAGE”的方法,这是第一个允许直接将aRNA用于标准longSAGE库生产的方法。通过将两个aRNA-longSAGE文库与两个Micro-longSAGE文库进行比较来验证aRNA-longSAGE方案,该文库是从两个不同细胞系的相同RNA制备物中产生的。使用保守的验证方法,我们能够验证68%由aRNA-longSAGE鉴定的差异表达基因。此外,在我们的aRNA-longSAGE文库中,差异表达基因的识别率大约是标准Micro-longSAGE文库中的两倍。使用我们经过验证的aRNA-longSAGE方案,我们能够从仅40 ng的总RNA中成功生成longSAGE文库,该总RNA来自2000-3000个微解剖的胰腺导管上皮细胞或胰腺上皮内瘤变细胞。

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