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研究微小RNA的差异共表达揭示了白质在早期阿尔茨海默病进展中的重要作用。

Studying the differential co-expression of microRNAs reveals significant role of white matter in early Alzheimer's progression.

作者信息

Bhattacharyya Malay, Bandyopadhyay Sanghamitra

机构信息

Machine Intelligence Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata - 700108, India.

出版信息

Mol Biosyst. 2013 Mar;9(3):457-66. doi: 10.1039/c2mb25434d. Epub 2013 Jan 23.

Abstract

MicroRNAs (miRNAs) are a class of short non-coding RNAs, which show tissue-specific regulatory activity on genes. Expression profiling of miRNAs is an important step for understanding the pathology of Alzheimer's disease (AD), a neurodegenerative disorder originating in the brain. Recent studies highlight that miRNAs enriched in gray matter (GM) and white matter (WM) of AD brains show differential expression. However, no in-depth study has yet been conducted on analysing the differential co-expression of pairs of miRNAs over GM and WM. Two genes (or miRNAs) are said to be co-expressed if their expression profiles change similarly over a number of samples. A pair of co-expressed genes under a condition type (or phenotype) may not remain co-expressed, or get contra-expressed, under another condition. Such pairs of genes are referred to as differentially co-expressed. Such an investigation in the early stage of AD is reported in this article. A network of differentially co-expressed miRNAs in GM and WM is first built. Analysis of the differential co-expression property reveals that such a network can not have any cycle. We use the notion of switching to distinguish two distinct types of differential co-expression patterns - a pair of miRNAs that are highly co-expressed in GM but does not remain so in WM, and vice versa. Based on this, we find the substructures, referred to as differentially co-expressed switching tree (DCST), that throughout have similar pattern of switching. The miR-423-5p emerges as a hub of the network. We extract subtrees of these DCSTs that have similar switching pattern throughout. These substructures are found to be both statistically and biologically significant. A large number of miRNAs obtained from the DCSTs are found to have association with AD, most of which are enriched in WM. This computational study therefore indicates a significant role of WM in early AD progression, a hitherto less acknowledged fact.

摘要

微小RNA(miRNA)是一类短链非编码RNA,对基因具有组织特异性调控活性。miRNA的表达谱分析是理解阿尔茨海默病(AD)病理学的重要步骤,AD是一种起源于大脑的神经退行性疾病。最近的研究表明,AD脑灰质(GM)和白质(WM)中富集的miRNA表现出差异表达。然而,尚未对GM和WM中miRNA对的差异共表达进行深入研究。如果两个基因(或miRNA)在多个样本中的表达谱变化相似,则称它们为共表达。在一种条件类型(或表型)下共表达的一对基因在另一种条件下可能不再共表达,或变为反式表达。这样的基因对被称为差异共表达。本文报道了在AD早期阶段的此类研究。首先构建了GM和WM中差异共表达miRNA的网络。对差异共表达特性的分析表明,这样的网络不可能有任何循环。我们使用切换的概念来区分两种不同类型的差异共表达模式——一对在GM中高度共表达但在WM中不再如此的miRNA,反之亦然。基于此,我们发现了被称为差异共表达切换树(DCST)的子结构,其在整个过程中具有相似的切换模式。miR-423-5p成为该网络的枢纽。我们提取了这些DCST中在整个过程中具有相似切换模式的子树。发现这些子结构在统计学和生物学上都具有重要意义。从DCST中获得的大量miRNA被发现与AD有关,其中大多数在WM中富集。因此,这项计算研究表明WM在AD早期进展中起着重要作用,这是一个迄今较少被认识到的事实。

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