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TE-array-一种高通量研究转座子转录的工具。

TE-array--a high throughput tool to study transposon transcription.

机构信息

The Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, 733 North Broadway, Miller Research Building (MRB) Room 469, Baltimore, MD 21205, USA.

出版信息

BMC Genomics. 2013 Dec 10;14:869. doi: 10.1186/1471-2164-14-869.

Abstract

BACKGROUND

Although transposable element (TE) derived DNA accounts for more than half of mammalian genomes and initiates a significant proportion of RNA transcripts, high throughput methods are rarely leveraged specifically to detect expression from interspersed repeats.

RESULTS

To characterize the contribution of transposons to mammalian transcriptomes, we developed a custom microarray platform with probes covering known human and mouse transposons in both sense and antisense orientations. We termed this platform the "TE-array" and profiled TE repeat expression in a panel of normal mouse tissues. Validation with nanoString® and RNAseq technologies demonstrated that TE-array is an effective method. Our data show that TE transcription occurs preferentially from the sense strand and is regulated in highly tissue-specific patterns.

CONCLUSIONS

Our results are consistent with the hypothesis that transposon RNAs frequently originate within genomic TE units and do not primarily accumulate as a consequence of random 'read-through' from gene promoters. Moreover, we find TE expression is highly dependent on the tissue context. This suggests that TE expression may be related to tissue-specific chromatin states or cellular phenotypes. We anticipate that TE-array will provide a scalable method to characterize transposable element RNAs.

摘要

背景

尽管转座元件 (TE) 衍生的 DNA 占据了哺乳动物基因组的一半以上,并引发了相当大比例的 RNA 转录,但很少有高通量方法专门用于检测散布重复序列的表达。

结果

为了描述转座元件对哺乳动物转录组的贡献,我们开发了一种定制的微阵列平台,该平台的探针覆盖了已知的人类和小鼠转座元件的正反义方向。我们将这个平台称为“TE-array”,并在一系列正常的小鼠组织中对 TE 重复表达进行了分析。使用 nanoString® 和 RNAseq 技术进行验证表明,TE-array 是一种有效的方法。我们的数据表明,TE 转录优先从有义链发生,并且受到高度组织特异性模式的调控。

结论

我们的结果与这样的假设一致,即转座子 RNA 通常起源于基因组 TE 单元内,而不是主要由于基因启动子的随机“通读”而积累。此外,我们发现 TE 表达高度依赖于组织背景。这表明 TE 表达可能与组织特异性染色质状态或细胞表型有关。我们预计 TE-array 将提供一种可扩展的方法来描述转座元件 RNA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cefb/3878892/f10ef70b9ff4/1471-2164-14-869-1.jpg

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