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      Caveolin-1 selectively regulates microRNA sorting into microvesicles after noxious stimuli

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          Abstract

          Extracellular vesicle (EV)–cargo miRNAs mediate intercellular communications. How cells selectively sort the miRNAs into EVs remains unclear. Lee et al. demonstrate a novel mechanism by which functional miRNAs are selectively sorted into EVs via caveolin-1/hnRNPA2B1 complex. This process is regulated by stimulation-associated posttranslational modifications of both cav-1 and hnRNPA2B1.

          Abstract

          Emerging evidence suggests that extracellular vesicle (EV)–containing miRNAs mediate intercellular communications in response to noxious stimuli. It remains unclear how a cell selectively sorts the cellular miRNAs into EVs. We report that caveolin-1 (cav-1) is essential for sorting of selected miRNAs into microvesicles (MVs), a main type of EVs generated by outward budding of the plasma membrane. We found that cav-1 tyrosine 14 (Y14)–phosphorylation leads to interactions between cav-1 and hnRNPA2B1, an RNA-binding protein. The cav-1/hnRNPA2B1 complex subsequently traffics together into MVs. Oxidative stress induces O-GlcNAcylation of hnRNPA2B1, resulting in a robustly altered hnRNPA2B1-bound miRNA repertoire. Notably, cav-1 pY14 also promotes hnRNPA2B1 O-GlcNAcylation. Functionally, macrophages serve as the principal recipient of epithelial MVs in the lung. MV-containing cav-1/hnRNPA2B1 complex-bound miR-17/93 activate tissue macrophages. Collectively, cav-1 is the first identified membranous protein that directly guides RNA-binding protein into EVs. Our work delineates a novel mechanism by which oxidative stress compels epithelial cells to package and secrete specific miRNAs and elicits an innate immune response.

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          Most cited references42

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          Cross talk between O-GlcNAcylation and phosphorylation: roles in signaling, transcription, and chronic disease.

          O-GlcNAcylation is the addition of β-D-N-acetylglucosamine to serine or threonine residues of nuclear and cytoplasmic proteins. O-linked N-acetylglucosamine (O-GlcNAc) was not discovered until the early 1980s and still remains difficult to detect and quantify. Nonetheless, O-GlcNAc is highly abundant and cycles on proteins with a timescale similar to protein phosphorylation. O-GlcNAc occurs in organisms ranging from some bacteria to protozoans and metazoans, including plants and nematodes up the evolutionary tree to man. O-GlcNAcylation is mostly on nuclear proteins, but it occurs in all intracellular compartments, including mitochondria. Recent glycomic analyses have shown that O-GlcNAcylation has surprisingly extensive cross talk with phosphorylation, where it serves as a nutrient/stress sensor to modulate signaling, transcription, and cytoskeletal functions. Abnormal amounts of O-GlcNAcylation underlie the etiology of insulin resistance and glucose toxicity in diabetes, and this type of modification plays a direct role in neurodegenerative disease. Many oncogenic proteins and tumor suppressor proteins are also regulated by O-GlcNAcylation. Current data justify extensive efforts toward a better understanding of this invisible, yet abundant, modification. As tools for the study of O-GlcNAc become more facile and available, exponential growth in this area of research will eventually take place.
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            Protein modification by SUMO.

            Small ubiquitin-related modifier (SUMO) family proteins function by becoming covalently attached to other proteins as post-translational modifications. SUMO modifies many proteins that participate in diverse cellular processes, including transcriptional regulation, nuclear transport, maintenance of genome integrity, and signal transduction. Reversible attachment of SUMO is controlled by an enzyme pathway that is analogous to the ubiquitin pathway. The functional consequences of SUMO attachment vary greatly from substrate to substrate, and in many cases are not understood at the molecular level. Frequently SUMO alters interactions of substrates with other proteins or with DNA, but SUMO can also act by blocking ubiquitin attachment sites. An unusual feature of SUMO modification is that, for most substrates, only a small fraction of the substrate is sumoylated at any given time. This review discusses our current understanding of how SUMO conjugation is controlled, as well as the roles of SUMO in a number of biological processes.
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              Nontemplated nucleotide additions distinguish the small RNA composition in cells from exosomes.

              Functional biomolecules, including small noncoding RNAs (ncRNAs), are released and transmitted between mammalian cells via extracellular vesicles (EVs), including endosome-derived exosomes. The small RNA composition in cells differs from exosomes, but underlying mechanisms have not been established. We generated small RNA profiles by RNA sequencing (RNA-seq) from a panel of human B cells and their secreted exosomes. A comprehensive bioinformatics and statistical analysis revealed nonrandomly distributed subsets of microRNA (miRNA) species between B cells and exosomes. Unexpectedly, 3' end adenylated miRNAs are relatively enriched in cells, whereas 3' end uridylated isoforms appear overrepresented in exosomes, as validated in naturally occurring EVs isolated from human urine samples. Collectively, our findings suggest that posttranscriptional modifications, notably 3' end adenylation and uridylation, exert opposing effects that may contribute, at least in part, to direct ncRNA sorting into EVs.
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                Author and article information

                Journal
                J Exp Med
                J. Exp. Med
                jem
                jem
                The Journal of Experimental Medicine
                Rockefeller University Press
                0022-1007
                1540-9538
                02 September 2019
                24 June 2019
                : 216
                : 9
                : 2202-2220
                Affiliations
                [1 ]Division of Pulmonary and Critical Care Medicine, Department of Medicine, Boston University Medical Campus, Boston, MA
                [2 ]Department of Computational Medicine and Bioinformatics Department of Biological Chemistry, The University of Michigan, Ann Arbor, MI
                [3 ]Department of Surgery, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA
                Author notes
                Correspondence to Yang Jin: yjin1@ 123456bu.edu
                Author information
                http://orcid.org/0000-0002-7900-0825
                http://orcid.org/0000-0002-4779-531X
                Article
                20182313
                10.1084/jem.20182313
                6719430
                31235510
                9b4e6542-951c-4d41-9489-ea7dc69061f9
                © 2019 Lee et al.

                This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

                History
                : 17 December 2018
                : 23 April 2019
                : 31 May 2019
                Page count
                Pages: 19
                Funding
                Funded by: National Institutes of Health, DOI https://doi.org/10.13039/100000002;
                Award ID: R21 AI121644
                Award ID: R33 AI121644R01
                Award ID: R01 GM127596-01
                Award ID: R01 GM111313
                Funded by: U.S. Department of Defense, DOI https://doi.org/10.13039/100000005;
                Award ID: W81XWH-16-0464
                Categories
                Research Articles
                Article
                319
                311

                Medicine
                Medicine

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