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      Loss of microRNA-128 promotes cardiomyocyte proliferation and heart regeneration

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          Abstract

          The goal of replenishing the cardiomyocyte (CM) population using regenerative therapies following myocardial infarction (MI) is hampered by the limited regeneration capacity of adult CMs, partially due to their withdrawal from the cell cycle. Here, we show that microRNA-128 ( miR-128) is upregulated in CMs during the postnatal switch from proliferation to terminal differentiation. In neonatal mice, cardiac-specific overexpression of miR-128 impairs CM proliferation and cardiac function, while miR-128 deletion extends proliferation of postnatal CMs by enhancing expression of the chromatin modifier SUZ12, which suppresses p27 (cyclin-dependent kinase inhibitor) expression and activates the positive cell cycle regulators Cyclin E and CDK2. Furthermore, deletion of miR-128 promotes cell cycle re-entry of adult CMs, thereby reducing the levels of fibrosis, and attenuating cardiac dysfunction in response to MI. These results suggest that miR-128 serves as a critical regulator of endogenous CM proliferation, and might be a novel therapeutic target for heart repair.

          Abstract

          During early postnatal development in mammals, cardiomyocytes exit the cell cycle, losing their regenerative capacity. Here the authors show that, following myocardial infarction, loss of microRNA-128 promotes cardiomyocyte proliferation and cardiac regeneration in adult mice partly via enhancing the expression of the chromatin modifier SUZ12.

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          Regulation of neonatal and adult mammalian heart regeneration by the miR-15 family.

          We recently identified a brief time period during postnatal development when the mammalian heart retains significant regenerative potential after amputation of the ventricular apex. However, one major unresolved question is whether the neonatal mouse heart can also regenerate in response to myocardial ischemia, the most common antecedent of heart failure in humans. Here, we induced ischemic myocardial infarction (MI) in 1-d-old mice and found that this results in extensive myocardial necrosis and systolic dysfunction. Remarkably, the neonatal heart mounted a robust regenerative response, through proliferation of preexisting cardiomyocytes, resulting in full functional recovery within 21 d. Moreover, we show that the miR-15 family of microRNAs modulates neonatal heart regeneration through inhibition of postnatal cardiomyocyte proliferation. Finally, we demonstrate that inhibition of the miR-15 family from an early postnatal age until adulthood increases myocyte proliferation in the adult heart and improves left ventricular systolic function after adult MI. We conclude that the neonatal mammalian heart can regenerate after myocardial infarction through proliferation of preexisting cardiomyocytes and that the miR-15 family contributes to postnatal loss of cardiac regenerative capacity.
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            Specific microRNAs modulate embryonic stem cell-derived neurogenesis.

            MicroRNAs (miRNAs) are recently discovered small non-coding transcripts with a broad spectrum of functions described mostly in invertebrates. As post-transcriptional regulators of gene expression, miRNAs trigger target mRNA degradation or translational repression. Although hundreds of miRNAs have been cloned from a variety of mammalian tissues and cells and multiple mRNA targets have been predicted, little is known about their functions. So far, a role of miRNA has only been described in hematopoietic, adipocytic, and muscle differentiation; regulation of insulin secretion; and potentially regulation of cancer growth. Here, we describe miRNA expression profiling in mouse embryonic stem (ES) cell- derived neurogenesis in vitro and show that a number of miRNAs are simultaneously co-induced during differentiation of neural progenitor cells to neurons and astrocytes. There was a clear correlation between miRNA expression profiles in ES cell-derived neurogenesis in vitro and in embryonal neurogenesis in vivo. Using both gain-of-function and loss-of-function approaches, we demonstrate that brain-specific miR-124a and miR-9 molecules affect neural lineage differentiation in the ES cell-derived cultures. In addition, we provide evidence that signal transducer and activator of transcription (STAT) 3, a member of the STAT family pathway, is involved in the function of these miRNAs. We conclude that distinct miRNAs play a functional role in the determination of neural fates in ES cell differentiation.
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              Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

              , , (2013)
              RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas of biology, including studies into gene regulation, development and disease. Of particular interest is the discovery of differentially expressed genes across different conditions (e.g., tissues, perturbations), while optionally adjusting for other systematic factors that affect the data collection process. There are a number of subtle yet critical aspects of these analyses, such as read counting, appropriate treatment of biological variability, quality control checks and appropriate setup of statistical modeling. Several variations have been presented in the literature, and there is a need for guidance on current best practices. This protocol presents a "state-of-the-art" computational and statistical RNA-seq differential expression analysis workflow largely based on the free open-source R language and Bioconductor software and in particular, two widely-used tools DESeq and edgeR. Hands-on time for typical small experiments (e.g., 4-10 samples) can be <1 hour, with computation time <1 day using a standard desktop PC.
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                Author and article information

                Contributors
                yuxycn@aliyun.com
                yi-gang.wang@uc.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                16 February 2018
                16 February 2018
                2018
                : 9
                : 700
                Affiliations
                [1 ]ISNI 0000 0000 8653 1072, GRID grid.410737.6, Key Laboratory of Molecular Target and Clinical Pharmacology, School of Pharmaceutical Sciences & Fifth Affiliated Hospital, , Guangzhou Medical University, ; Guangzhou, Guangdong 511436 China
                [2 ]ISNI 0000 0001 2179 9593, GRID grid.24827.3b, Department of Pathology and Laboratory Medicine, , University of Cincinnati College of Medicine, ; Cincinnati, OH 45267 USA
                [3 ]ISNI 0000000122931605, GRID grid.5590.9, Department of Molecular Biology, Radboud Institute of Molecular Life Sciences and Faculty of Science, , Radboud University, ; Nijmegen, 6525 Gelderland The Netherlands
                [4 ]Samaritan Medical Center, 830 Washington Street, Watertown, NY 13601 USA
                [5 ]ISNI 0000 0001 2179 9593, GRID grid.24827.3b, College of Engineering and Applied Science, , University of Cincinnati, ; Cincinnati, OH 45221 USA
                [6 ]ISNI 0000 0004 1762 1794, GRID grid.412558.f, Division of Liver Surgery, , The Third Affiliated Hospital of Sun Yat-sen University, ; Guangzhou, Guangdong 510630 China
                [7 ]ISNI 0000 0001 2179 9593, GRID grid.24827.3b, Department of Environmental Health, , University of Cincinnati College of Medicine, ; Cincinnati, OH 45267 USA
                [8 ]ISNI 0000 0001 2179 9593, GRID grid.24827.3b, Division of Cardiovascular Health and Disease, Department of Internal Medicine, Heart, Lung and Vascular Institute, , University of Cincinnati College of Medicine, ; Cincinnati, OH 45267 USA
                [9 ]ISNI 0000 0001 2179 9593, GRID grid.24827.3b, Department of Molecular Genetics, Biochemistry, and Microbiology, , University of Cincinnati College of Medicine, ; Cincinnati, OH 45267 USA
                Author information
                http://orcid.org/0000-0003-2006-7678
                http://orcid.org/0000-0003-4988-7338
                Article
                3019
                10.1038/s41467-018-03019-z
                5816015
                29453456
                1c99da2e-055f-42e6-8d57-c17891d96309
                © The Author(s) 2018

                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
                : 6 March 2017
                : 12 January 2018
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