Expression profiles of microRNAs from lactating and non-lactating bovine mammary glands and identification of miRNA related to lactation.

Expression profiles of microRNAs from lactating and non-lactating bovine mammary glands and identification of miRNA related to lactation.
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DOI:
10.1186/1471-2164-13-731
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发表时间:
2012-12-27
期刊:
影响因子:
4.4
通讯作者:
Liu J
Liu J
中科院分区:
生物学2区
文献类型:
--
作者:
Li Z;Liu H;Jin X;Lo L;Liu J

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MicroRNAs(MiRNAs)参与了乳蛋白合成和乳腺发育的调节。然而,miRNAs在这些规定中的具体功能并不明确。因此,阐明MG中miRNA的表达谱是了解产乳机制的重要一步。分别从一头哺乳期和一头非哺乳期荷斯坦奶牛的MG组织中构建了两个miRNA文库,并用Solexa测序法对文库中的短RNA序列(18-30个核苷酸)进行了测序。文库包括885个前miRNAs,编码921个miRNAs,其中884个miRNAs是唯一序列,544个(61.5%)在两个时期都有表达。然后进行了定制的微阵列分析,以比较哺乳期和非哺乳期奶牛MG中miRNA的表达模式。与非哺乳期MG相比,哺乳期MG中共有56个miRNAs的表达存在显著差异(P<0.05)。采用miRNA靶标预测和网络分析相结合的方法,构建了哺乳相关miRNAs与其可能靶标的相互作用网络。利用基于细胞的模型,对6个miRNAs(miR-125b、miR-141、miR-181a、miR-199B、miR-484和miR-500)进行了研究,以揭示它们可能的生物学意义。我们的研究提供了关于牛MG miRNA表达谱特征的广泛看法。从牛MG中鉴定出884个miRNAs。在哺乳期和非哺乳期牛MG中,miRNAs的类型和表达水平存在差异。系统的预测有助于识别与哺乳相关的miRNAs,为深入了解miRNAs的类型及其调节哺乳的可能机制提供了洞察。
MicroRNAs (miRNAs) have been implicated in the regulation of milk protein synthesis and development of the mammary gland (MG). However, the specific functions of miRNAs in these regulations are not clear. Therefore, the elucidation of miRNA expression profiles in the MG is an important step towards understanding the mechanisms of lactogenesis. Two miRNA libraries were constructed from MG tissues taken from a lactating and a non-lactating Holstein dairy cow, respectively, and the short RNA sequences (18–30 nt) in these libraries were sequenced by Solexa sequencing method. The libraries included 885 pre-miRNAs encoding for 921 miRNAs, of which 884 miRNAs were unique sequences and 544 (61.5%) were expressed in both periods. A custom-designed microarray assay was then performed to compare miRNA expression patterns in the MG of lactating and non-lactating dairy cows. A total of 56 miRNAs in the lactating MG showed significant differences in expression compared to non-lactating MG (P<0.05). Integrative miRNA target prediction and network analysis approaches were employed to construct an interaction network of lactation-related miRNAs and their putative targets. Using a cell-based model, six miRNAs (miR-125b, miR-141, miR-181a, miR-199b, miR-484 and miR-500) were studied to reveal their possible biological significance. Our study provides a broad view of the bovine MG miRNA expression profile characteristics. Eight hundred and eighty-four miRNAs were identified in bovine MG. Differences in types and expression levels of miRNAs were observed between lactating and non-lactating bovine MG. Systematic predictions aided in the identification of lactation-related miRNAs, providing insight into the types of miRNAs and their possible mechanisms in regulating lactation.
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