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      Circular RNA circGlis3 protects against islet β-cell dysfunction and apoptosis in obesity

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          Abstract

          Pancreatic β-cell compensation is a major mechanism in delaying T2DM progression. Here we report the abnormal high expression of circGlis3 in islets of male mice with obesity and serum of people with obesity. Increasing circGlis3 is regulated by Quaking (QKI)-mediated splicing circularization. circGlis3 overexpression enhances insulin secretion and inhibits obesity-induced apoptosis in vitro and in vivo. Mechanistically, circGlis3 promotes insulin secretion by up-regulating NeuroD1 and Creb1 via sponging miR-124-3p and decreases apoptosis via interacting with the pro-apoptotic factor SCOTIN. The RNA binding protein FUS recruits circGlis3 and collectively assemble abnormal stable cytoplasmic stress granules (SG) in response to cellular stress. These findings highlight a physiological role for circRNAs in β-cell compensation and indicate that modulation of circGlis3 expression may represent a potential strategy to prevent β-cell dysfunction and apoptosis after obesity.

          Abstract

          Pancreatic β-cell compensation is a major mechanism in delaying T2DM progression. Here, the authors show that circGlis3 levels are affected by QKI and FUS expression, and that increasing circGlis3 lengthens β-cell compensation via enhancing insulin secretion and reducing apoptosis.

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          Most cited references61

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Circular RNAs are a large class of animal RNAs with regulatory potency.

              Circular RNAs (circRNAs) in animals are an enigmatic class of RNA with unknown function. To explore circRNAs systematically, we sequenced and computationally analysed human, mouse and nematode RNA. We detected thousands of well-expressed, stable circRNAs, often showing tissue/developmental-stage-specific expression. Sequence analysis indicated important regulatory functions for circRNAs. We found that a human circRNA, antisense to the cerebellar degeneration-related protein 1 transcript (CDR1as), is densely bound by microRNA (miRNA) effector complexes and harbours 63 conserved binding sites for the ancient miRNA miR-7. Further analyses indicated that CDR1as functions to bind miR-7 in neuronal tissues. Human CDR1as expression in zebrafish impaired midbrain development, similar to knocking down miR-7, suggesting that CDR1as is a miRNA antagonist with a miRNA-binding capacity ten times higher than any other known transcript. Together, our data provide evidence that circRNAs form a large class of post-transcriptional regulators. Numerous circRNAs form by head-to-tail splicing of exons, suggesting previously unrecognized regulatory potential of coding sequences.
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                Author and article information

                Contributors
                1620194592@cpu.edu.cn
                li-ling76@hotmail.com
                ljstemcell@cpu.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                21 January 2023
                21 January 2023
                2023
                : 14
                : 351
                Affiliations
                [1 ]GRID grid.254147.1, ISNI 0000 0000 9776 7793, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, , School of life Science and Technology, China Pharmaceutical University, ; 24 Tongjiaxiang, Nanjing, Jiangsu province P. R. China
                [2 ]GRID grid.452290.8, ISNI 0000 0004 1760 6316, Department of Endocrinology, , Zhongda Hospital, School of Medicine, Southeast University, ; No. 87 Dingjiaqiao, Nanjing, Jiangsu 210009 China
                [3 ]GRID grid.50956.3f, ISNI 0000 0001 2152 9905, Departments of Medicine and Biomedical Sciences, , Cedars-Sinai Medical Center, ; Los Angeles, CA USA
                Author information
                http://orcid.org/0000-0002-1954-4345
                Article
                35998
                10.1038/s41467-023-35998-z
                9867769
                36681689
                1a0ce26b-8362-4baa-b0ef-7973d0ceb263
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 September 2022
                : 12 January 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 82073227
                Award ID: 82100858
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004608, Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation);
                Award ID: BK20200569
                Award ID: BK20221520
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100002858, China Postdoctoral Science Foundation;
                Award ID: 2022T150726
                Award ID: 2020M671661
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100010011, Jiangsu Postdoctoral Research Foundation (Jiangsu Province Postdoctoral Research Foundation);
                Award ID: 1412000016
                Award Recipient :
                Funded by: ‘111' project (Fund number: B16046), Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
                Categories
                Article
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                © The Author(s) 2023

                Uncategorized
                insulin signalling,non-coding rnas
                Uncategorized
                insulin signalling, non-coding rnas

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