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解析转录后调控因子在炎症状态决定中的功能:以巨噬细胞激活为例。

Decoding the functions of post-transcriptional regulators in the determination of inflammatory states: focus on macrophage activation.

机构信息

Institute of Immunology, Biomedical Sciences Research Center Alexander Fleming, Vari, Greece.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2012 Sep-Oct;4(5):509-23. doi: 10.1002/wsbm.1179. Epub 2012 Jul 3.

Abstract

Inflammation involves a continuum of intercellular interactions and cellular responses targeting infectious or tissue damage while maintaining homeostasis. At its core, this continuum encompasses the alternating phenotypes of innate immune cells; each phenotype is typified by the expression of molecules which either support host defence or aid tissue restoration and the resolution of inflammation. The aberrant persistence of any such phenotype can drive chronic inflammatory pathology. For macrophages, these phenotypes arise as changes in cellular plasticity because of adaptation. As such their underlying gene expression programs may not be determined by robust transcriptomic and epigenetic programs but by more flexible means like post-transcriptional mechanisms affecting mRNA use. These mechanisms require the assemblies of RNA-binding proteins (RBPs) and non-coding RNAs onto specific elements on their RNA targets in Ribonucleoprotein particles (RNPs) which control mRNA maturation, turnover and translation. The collection of RNPs within a cell defines the ribonome, that is, a high order system of coordinative post-transcriptional determination. mRNAs involved in the definition of different macrophage activation phenotypes share elements of RBP recognition rendering them amenable to ribonomic regulation. The molecular features of their cognitive RBPs and the pathologies developing in the corresponding mouse mutants support their involvement in inflammatory reactions. We view this information in the context of macrophage activation states to propose that these states can be determined via differential--synergistic or antagonistic--RNP associations. In doing so, we substantiate the need for the use of systems platforms to model RNP hierarchies controlling the continuum of inflammation.

摘要

炎症涉及一系列细胞间相互作用和细胞反应,旨在针对感染或组织损伤,同时维持体内平衡。在其核心,这个连续统包含了先天免疫细胞的交替表型;每种表型的特点是表达支持宿主防御或有助于组织修复和炎症消退的分子。任何这样的表型的异常持续存在都可能导致慢性炎症病理。对于巨噬细胞来说,这些表型是由于适应而产生的细胞可塑性变化。因此,它们的潜在基因表达程序可能不是由强大的转录组和表观遗传程序决定的,而是由更灵活的手段决定的,如影响 mRNA 使用的转录后机制。这些机制需要 RNA 结合蛋白 (RBP) 和非编码 RNA 组装到其 RNA 靶标上的特定元件上,形成核糖核蛋白颗粒 (RNP),从而控制 mRNA 的成熟、周转和翻译。细胞内的 RNP 集合定义了核糖组,即一个高度协调的转录后决定的系统。在不同巨噬细胞激活表型定义中涉及的 mRNAs 共享 RBP 识别的元件,使其易于受到核糖组调控。它们认知 RBP 的分子特征以及相应的小鼠突变体中发展的病理学支持它们参与炎症反应。我们在巨噬细胞激活状态的背景下看待这些信息,提出这些状态可以通过差异的——协同或拮抗的——RNP 关联来确定。这样做,我们证明了需要使用系统平台来模拟控制炎症连续统的 RNP 层次结构。

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