Ragusa Marco, Barbagallo Cristina, Cirnigliaro Matilde, Battaglia Rosalia, Brex Duilia, Caponnetto Angela, Barbagallo Davide, Di Pietro Cinzia, Purrello Michele
BioMolecular, Genome and Complex Systems BioMedicine Unit, Section of Biology and Genetics G Sichel, Department of BioMedical Sciences and Biotechnology, University of Catania, Catania, Italy.
IRCCS Associazione Oasi Maria S.S., Institute for Research on Mental Retardation and Brain Aging, Troina, Italy.
Front Mol Biosci. 2017 Oct 4;4:66. doi: 10.3389/fmolb.2017.00066. eCollection 2017.
Over the past few years, exosomes and their RNA cargo have been extensively studied because of the fascinating biological roles they play in cell-to-cell communication, including the signal exchange among cancer, stromal, and immune cells, leading to modifications of tumor microenvironment. RNAs, especially miRNAs, stored within exosomes, seem to be among the main determinants of such signaling: their sorting into exosomes appears to be cell-specific and related to cellular physiopathology. Accordingly, the identification of exosomal miRNAs in body fluids from pathological patients has become one of the most promising activity in the field of biomarker discovery. Several analyses on the qualitative and quantitative distribution of RNAs between cells and their secreted exosomes have given rise to questions on whether and how accurately exosomal RNAs would represent the transcriptomic snapshot of the physiological and pathological status of secreting cells. Although the exact molecular mechanisms of sorting remain quite elusive, many papers have reported an evident asymmetric quantitative distribution of RNAs between source cells and their exosomes. This phenomenon could depend both on passive and active sorting mechanisms related to: (a) RNA turnover; (b) maintaining the cytoplasmic miRNA:target equilibrium; (c) removal of RNAs not critical or even detrimental for normal or diseased cells. These observations represent very critical issues in the exploitation of exosomal miRNAs as cancer biomarkers. In this review, we will discuss how much the exosomal and corresponding donor cell transcriptomes match each other, to better understand the actual reliability of exosomal RNA molecules as pathological biomarkers reflecting a diseased of the cells.
在过去几年中,外泌体及其携带的RNA受到了广泛研究,因为它们在细胞间通讯中发挥着迷人的生物学作用,包括癌症、基质和免疫细胞之间的信号交换,从而导致肿瘤微环境的改变。储存在外泌体内的RNA,尤其是miRNA,似乎是这种信号传导的主要决定因素之一:它们被分选到外泌体中的过程似乎具有细胞特异性,并且与细胞生理病理学相关。因此,在病理患者体液中鉴定外泌体miRNA已成为生物标志物发现领域最具前景的活动之一。关于RNA在细胞及其分泌的外泌体之间的定性和定量分布的多项分析引发了一些问题,即外泌体RNA是否以及如何准确地代表分泌细胞生理和病理状态的转录组快照。尽管分选的确切分子机制仍然相当难以捉摸,但许多论文报道了RNA在源细胞及其外泌体之间存在明显的不对称定量分布。这种现象可能取决于与以下方面相关的被动和主动分选机制:(a)RNA周转;(b)维持细胞质miRNA:靶标平衡;(c)去除对正常或患病细胞不重要甚至有害的RNA。这些观察结果代表了在外泌体miRNA作为癌症生物标志物的应用中非常关键的问题。在这篇综述中,我们将讨论外泌体转录组与相应供体细胞转录组的匹配程度,以便更好地理解外泌体RNA分子作为反映细胞疾病状态的病理生物标志物的实际可靠性。