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      MicroRNA-21–Dependent Macrophage-to-Fibroblast Signaling Determines the Cardiac Response to Pressure Overload

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          Abstract

          Supplemental Digital Content is available in the text.

          Abstract

          Background:

          Cardiac macrophages (cMPs) are increasingly recognized as important regulators of myocardial homeostasis and disease, yet the role of noncoding RNA in these cells is largely unknown. Small RNA sequencing of the entire miRNomes of the major cardiac cell fractions revealed microRNA-21 (miR-21) as the single highest expressed microRNA in cMPs, both in health and disease (25% and 43% of all microRNA reads, respectively). MiR-21 has been previously reported as a key microRNA driving tissue fibrosis. Here, we aimed to determine the function of macrophage miR-21 on myocardial homeostasis and disease-associated remodeling.

          Methods:

          Macrophage-specific ablation of miR-21 in mice driven by Cx3cr1-Cre was used to determine the function of miR-21 in this cell type. As a disease model, mice were subjected to pressure overload for 6 and 28 days. Cardiac function was assessed in vivo by echocardiography, followed by histological analyses and single-cell sequencing. Cocultures of macrophages and cardiac fibroblasts were used to study macrophage-to-fibroblast signaling.

          Results:

          Mice with macrophage-specific genetic deletion of miR-21 were protected from interstitial fibrosis and cardiac dysfunction when subjected to pressure overload of the left ventricle. Single-cell sequencing of pressure-overloaded hearts from these mice revealed that miR-21 in macrophages is essential for their polarization toward a M1-like phenotype. Systematic quantification of intercellular communication mediated by ligand-receptor interactions across all cell types revealed that miR-21 primarily determined macrophage-fibroblast communication, promoting the transition from quiescent fibroblasts to myofibroblasts. Polarization of isolated macrophages in vitro toward a proinflammatory (M1-like) phenotype activated myofibroblast transdifferentiation of cardiac fibroblasts in a paracrine manner and was dependent on miR-21 in cMPs.

          Conclusions:

          Our data indicate a critical role of cMPs in pressure overload–induced cardiac fibrosis and dysfunction and reveal macrophage miR-21 as a key molecule for the profibrotic role of cMPs.

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          Most cited references60

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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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            HISAT: a fast spliced aligner with low memory requirements.

            HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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              Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

              DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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                Author and article information

                Contributors
                Journal
                Circulation
                Circulation
                CIR
                Circulation
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0009-7322
                1524-4539
                08 February 2021
                13 April 2021
                : 143
                : 15
                : 1513-1525
                Affiliations
                [1 ]Institut für Pharmakologie und Toxikologie (D.R., A.P.S., C.B., P.V., G.F., A.D., D.E., S.E.), Technische Universität München (TUM), Germany.
                [2 ]Institute of Human Genetics (T.M.), Technische Universität München (TUM), Germany.
                [3 ]DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Germany (D.R., A.P.S., C.B., G.F., A.D., D.E., T.M., C.S., S.E.).
                [4 ]Biochemistry Center Regensburg (BZR), Laboratory for RNA Biology, University of Regensburg, Germany (G.M.).
                [5 ]Institut für Humangenetik, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany (T.M.).
                [6 ]Medizinische Klinik und Poliklinik I, LMU Klinikum, Ludwig-Maximilians-Universität München, Germany (C.S.).
                Author notes
                Stefan Engelhardt, MD, PhD, Institut für Pharmakologie und Toxikologie, Technische Universität München (TUM), Biedersteiner Straße 29, 80802 München, Germany. Email stefan.engelhardt@ 123456tum.de
                Article
                00008
                10.1161/CIRCULATIONAHA.120.050682
                8032214
                33550817
                677e89c1-b1bf-4691-b2e8-adf33323dbec
                © 2021 The Authors.

                Circulation is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made.

                History
                : 4 August 2020
                : 19 January 2021
                Categories
                10094
                10101
                Original Research Articles
                Custom metadata
                TRUE
                T

                fibroblasts,fibrosis,heart failure,macrophages,mirn21 microrna, mouse,myofibroblasts,ventricular remodeling

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