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      LncRNA MALAT1 suppresses monocyte-endothelial cell interactions by targeting miR-30b-5p and enhancing ATG5-mediated autophagy

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          Abstract

          Background

          Monocyte-endothelial cell (EC) interactions are one of the earliest events in the development of atherosclerosis and play a crucial role in atherosclerotic plaque formation. Although attempts have been made to modulate this interaction, the underlying molecular signalling mechanisms remain unclear. This study aimed to investigate the role of long non-coding RNA MALAT1 in monocyte-EC interactions.

          Methods

          The expression of MALAT1, ICAM-1, VCAM-1, P-selectin, CCL2 and CXCL1 was evaluated in ApoE -/- mouse aortic tissues and inflamed human umbilical vein endothelial cells (HUVECs). The regulatory impact of MALAT1 on cell adhesion molecules, monocyte-EC adhesion, and autophagy was assessed. The interactions between MALAT1 and microRNAs (miRNAs) were evaluated using dual-luciferase reporter and RNA pull-down assays.

          Results

          MALAT1 expression decreased in ApoE -/- mouse aortic tissues and inflammatory HUVECs. MALAT1 overexpression suppressed the expression of ICAM-1, VCAM-1 and CXCL1, and reduced the migration and adhesion of monocytes to ECs. Inhibition of MALAT1 promoted cell adhesion molecule expression and monocyte-EC interactions. Mechanistically, MALAT1 binds directly to miR-30b-5p and decreases its effective expression by functioning as an endogenous sponge, thereby increasing the expression of autophagy-related gene 5 (ATG5) and stimulates endothelial autophagy.

          Conclusions

          Our findings suggest that MALAT1 suppresses monocyte-EC interactions by targeting miR-30b-5p and enhancing ATG5-mediated endothelial autophagy. These data imply that MALAT1 may play a protective role at the early stages of the atherosclerotic process.

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          Most cited references36

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          starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data

          Although microRNAs (miRNAs), other non-coding RNAs (ncRNAs) (e.g. lncRNAs, pseudogenes and circRNAs) and competing endogenous RNAs (ceRNAs) have been implicated in cell-fate determination and in various human diseases, surprisingly little is known about the regulatory interaction networks among the multiple classes of RNAs. In this study, we developed starBase v2.0 (http://starbase.sysu.edu.cn/) to systematically identify the RNA–RNA and protein–RNA interaction networks from 108 CLIP-Seq (PAR-CLIP, HITS-CLIP, iCLIP, CLASH) data sets generated by 37 independent studies. By analyzing millions of RNA-binding protein binding sites, we identified ∼9000 miRNA-circRNA, 16 000 miRNA-pseudogene and 285 000 protein–RNA regulatory relationships. Moreover, starBase v2.0 has been updated to provide the most comprehensive CLIP-Seq experimentally supported miRNA-mRNA and miRNA-lncRNA interaction networks to date. We identified ∼10 000 ceRNA pairs from CLIP-supported miRNA target sites. By combining 13 functional genomic annotations, we developed miRFunction and ceRNAFunction web servers to predict the function of miRNAs and other ncRNAs from the miRNA-mediated regulatory networks. Finally, we developed interactive web implementations to provide visualization, analysis and downloading of the aforementioned large-scale data sets. This study will greatly expand our understanding of ncRNA functions and their coordinated regulatory networks.
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            The functions and unique features of long intergenic non-coding RNA

            Long intergenic non-coding RNA (lincRNA) genes have diverse features that distinguish them from mRNA-encoding genes and exercise functions such as remodelling chromatin and genome architecture, RNA stabilization and transcription regulation, including enhancer-associated activity. Some genes currently annotated as encoding lincRNAs include small open reading frames (smORFs) and encode functional peptides and thus may be more properly classified as coding RNAs. lincRNAs may broadly serve to fine-tune the expression of neighbouring genes with remarkable tissue specificity through a diversity of mechanisms, highlighting our rapidly evolving understanding of the non-coding genome.
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              MALAT-1, a novel noncoding RNA, and thymosin beta4 predict metastasis and survival in early-stage non-small cell lung cancer.

              Early-stage non-small cell lung cancer (NSCLC) can be cured by surgical resection, but a substantial fraction of patients ultimately dies due to distant metastasis. In this study, we used subtractive hybridization to identify gene expression differences in stage I NSCLC tumors that either did or did not metastasize in the course of disease. Individual clones (n=225) were sequenced and quantitative RT-PCR verified overexpression in metastasizing samples. Several of the identified genes (eIF4A1, thymosin beta4 and a novel transcript named MALAT-1) were demonstrated to be significantly associated with metastasis in NSCLC patients (n=70). The genes' association with metastasis was stage- and histology specific. The Kaplan-Meier analyses identified MALAT-1 and thymosin beta4 as prognostic parameters for patient survival in stage I NSCLC. The novel MALAT-1 transcript is a noncoding RNA of more than 8000 nt expressed from chromosome 11q13. It is highly expressed in lung, pancreas and other healthy organs as well as in NSCLC. MALAT-1 expressed sequences are conserved across several species indicating its potentially important function. Taken together, these data contribute to the identification of early-stage NSCLC patients that are at high risk to develop metastasis. The identification of MALAT-1 emphasizes the potential role of noncoding RNAs in human cancer.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                03 April 2024
                15 April 2024
                03 April 2024
                : 10
                : 7
                : e28882
                Affiliations
                [a ]Meizhou Clinical Institute, Shantou University Medical College, Meizhou, 514000, China
                [b ]Research Experimental Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou, 514031, China
                [c ]Meizhou Clinical Medical School, Guangdong Medical University, Meizhou, 514000, China
                [d ]Guangdong Engineering Technology Research Center of Molecular Diagnostics for Cardiovascular Diseases, Meizhou, 514000, China
                Author notes
                [* ]Corresponding author. Meizhou People's Hospital (Huangtang Hospital), Meizhou, 514031, China. vanguard_1987@ 123456163.com
                [1]

                These authors contributed equally to this work.

                Article
                S2405-8440(24)04913-2 e28882
                10.1016/j.heliyon.2024.e28882
                11004576
                38601614
                8e8a230f-d819-435a-89d7-0dfd420ce380
                © 2024 The Authors

                This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

                History
                : 27 September 2023
                : 26 March 2024
                : 26 March 2024
                Categories
                Research Article

                long non-coding rna,metastasis associated lung adenocarcinoma transcript 1,inflammation,monocyte-endothelial cell interaction,atherosclerosis,autophagy

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