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巨噬细胞激活过程中差异表达的非编码 RNA 的综合评估。

Comprehensive evaluation of differentially expressed non-coding RNAs identified during macrophage activation.

机构信息

Basic Research Laboratory for Vascular Remodeling, Chonnam National University Medical School, Jeollanam-do, Republic of Korea; Department of Biochemistry, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.

Basic Research Laboratory for Vascular Remodeling, Chonnam National University Medical School, Jeollanam-do, Republic of Korea; Biomedical Research Institute, Chonnam National University Hospital, Gwangju, Republic of Korea.

出版信息

Mol Immunol. 2020 Dec;128:98-105. doi: 10.1016/j.molimm.2020.10.009. Epub 2020 Oct 21.

Abstract

Macrophages are the primary cell type in the immune system and are activated in response to diverse external stimuli. They can exert inflammatory or anti-inflammatory responses depending on the type of stimuli in the system, and as such rely on a complex network of diverse signaling pathways to function. Non-coding RNAs have recently been established as an important class of regulators linked to the activation of macrophages. Although the roles of many microRNAs have been described, the majority of the other types of regulatory non-coding RNAs, including long non-coding RNAs (lncRNAs), remain undefined. In this study, we performed a comprehensive analysis of several large RNA sequencing datasets to identify common lncRNAs differentially expressed after M1 or M2 macrophage induction. We identified the lncRNAs that underwent significant changes in each dataset and established a list of commonly altered lncRNAs. We expect that our data will act as a valuable resource for future studies designed to uncover the roles of these lncRNAs in determining macrophage fates.

摘要

巨噬细胞是免疫系统中的主要细胞类型,可被各种外部刺激激活。它们可以根据系统中刺激的类型发挥炎症或抗炎反应,因此依赖于复杂的多样化信号通路网络来发挥功能。非编码 RNA 最近被确定为与巨噬细胞激活相关的一类重要调控因子。尽管已经描述了许多 microRNAs 的作用,但大多数其他类型的调控性非编码 RNA,包括长非编码 RNA(lncRNA),仍然没有明确的定义。在这项研究中,我们对几个大型 RNA 测序数据集进行了全面分析,以鉴定 M1 或 M2 巨噬细胞诱导后差异表达的常见 lncRNA。我们确定了每个数据集都发生显著变化的 lncRNA,并建立了一个共同改变的 lncRNA列表。我们期望我们的数据将成为未来研究的有价值资源,旨在揭示这些 lncRNA 在决定巨噬细胞命运中的作用。

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