Identification of differentially expressed sense and antisense transcript pairs in breast epithelial tissues.

Identification of differentially expressed sense and antisense transcript pairs in breast epithelial tissues.
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DOI:
10.1186/1471-2164-10-324
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发表时间:
2009-07-17
期刊:
影响因子:
4.4
通讯作者:
Neville AM
Neville AM
中科院分区:
生物学2区
文献类型:
--
作者:
Grigoriadis A;Oliver GR;Tanney A;Kendrick H;Smalley MJ;Jat P;Neville AM

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超过 20% 的人类转录本具有天然存在的反义产物(或天然反义转录本 - NAT),其中一些可能在一系列人类疾病中发挥关键作用。迄今为止,已经出现了几个计算机定义的人类正义-反义(SAS)对的数据库,但是没有研究关注乳腺组织中 SAS 对的差异表达。因此,我们使用 Affymetrix HG-U133 Plus 2.0 和 Almac Diagnostics 乳腺癌 DSA 微阵列技术以及大规模并行特征测序 (MPSS) 数据研究了正常和恶性人类乳腺上皮细胞中有义和反义转录物的表达水平。通过 DSA 微阵列,在正常乳腺导管管腔细胞和上皮细胞含量显着富集的原发性乳腺肿瘤中检测到超过 2500 个反义转录物的表达。 431 NAT 的表达通过其他两种技术中的任何一种得到确认。可以在 DSA 上鉴定出 257 个反义转录本的相应有义转录本。在这些 SAS 对中,有 163 个以前未曾报道过。对于大多数 SAS 对,观察到正常和恶性乳腺样本之间的差异表达呈正相关。所选 SAS 对的定向特异性 RT-QPCR 验证了它们在几种乳腺癌细胞系和实体乳腺肿瘤中的表达。以疾病为中心的反义富集微阵列平台(例如乳腺癌 DSA)证实了这样的假设:人类乳房中的反义转录比之前预期的更为普遍。这些 NAT 的一部分的表达已经被其他技术所证实,而其余的 NAT 的真实存在必须得到验证。然而,未来的研究将揭示反义和正义转录本的相对丰度是否对这些 mRNA 的翻译有调节影响。
More than 20% of human transcripts have naturally occurring antisense products (or natural antisense transcripts – NATs), some of which may play a key role in a range of human diseases. To date, several databases of in silico defined human sense-antisense (SAS) pairs have appeared, however no study has focused on differential expression of SAS pairs in breast tissue. We therefore investigated the expression levels of sense and antisense transcripts in normal and malignant human breast epithelia using the Affymetrix HG-U133 Plus 2.0 and Almac Diagnostics Breast Cancer DSA microarray technologies as well as massively parallel signature sequencing (MPSS) data. The expression of more than 2500 antisense transcripts were detected in normal breast duct luminal cells and in primary breast tumors substantially enriched for their epithelial cell content by DSA microarray. Expression of 431 NATs were confirmed by either of the other two technologies. A corresponding sense transcript could be identified on DSA for 257 antisense transcripts. Of these SAS pairs, 163 have not been previously reported. A positive correlation of differential expression between normal and malignant breast samples was observed for most SAS pairs. Orientation specific RT-QPCR of selected SAS pairs validated their expression in several breast cancer cell lines and solid breast tumours. Disease-focused and antisense enriched microarray platforms (such as Breast Cancer DSA) confirm the assumption that antisense transcription in the human breast is more prevalent than previously anticipated. Expression of a proportion of these NATs has already been confirmed by other technologies while the true existence of the remaining ones has to be validated. Nevertheless, future studies will reveal whether the relative abundances of antisense and sense transcripts have regulatory influences on the translation of these mRNAs.
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