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      DNA Methylation Changes in Regional Lung Macrophages Are Associated with Metabolic Differences

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          Abstract

          A number of pulmonary diseases occur with upper lobe predominance, including cystic fibrosis and smoking-related chronic obstructive pulmonary disease. In the healthy lung, several physiologic and metabolic factors exhibit disparity when comparing the upper lobe of the lung to lower lobe, including differences in oxygenation, ventilation, lymphatic flow, pH, and blood flow. In this study, we asked whether these regional differences in the lung are associated with DNA methylation changes in lung macrophages that could potentially lead to altered cell responsiveness upon subsequent environmental challenge. All analyses were performed using primary lung macrophages collected via bronchoalveolar lavage from healthy human subjects with normal pulmonary function. Epigenome-wide DNA methylation was examined via Infinium MethylationEPIC (850K) array and validated by targeted next-generation bisulfite sequencing. We observed 95 CpG loci with significant differential methylation in lung macrophages, comparing upper lobe to lower lobe (all false discovery rate < 0.05). Several of these genes, including CLIP4, HSH2D, NR4A1, SNX10, and TYK2, have been implicated as participants in inflammatory/immune-related biological processes. Functionally, we identified phenotypic differences in oxygen use, comparing upper versus lower lung macrophages. Our results support a hypothesis that epigenetic changes, specifically DNA methylation, at a multitude of gene loci in lung macrophages are associated with metabolic differences regionally in lung.

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          Most cited references35

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          Genes, genetics, and epigenetics: a correspondence.

          Over the past months, as this special issue took shape, the Editors of Science have monitored an exchange of seven letters initiated by three queries from M. Bacon. These queries concern the popular definitions of "genes," "genetics," and "epigenetics." Below, we reprint excerpts from these letters, referring interested readers to www.sciencemag.org/cgi/content/full/293/5532/1103/DC1 for the complete text and additional references.
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            Reference-free deconvolution of DNA methylation data and mediation by cell composition effects

            Background Recent interest in reference-free deconvolution of DNA methylation data has led to several supervised methods, but these methods do not easily permit the interpretation of underlying cell types. Results We propose a simple method for reference-free deconvolution that provides both proportions of putative cell types defined by their underlying methylomes, the number of these constituent cell types, as well as a method for evaluating the extent to which the underlying methylomes reflect specific types of cells. We demonstrate these methods in an analysis of 23 Infinium data sets from 13 distinct data collection efforts; these empirical evaluations show that our algorithm can reasonably estimate the number of constituent types, return cell proportion estimates that demonstrate anticipated associations with underlying phenotypic data; and methylomes that reflect the underlying biology of constituent cell types. Conclusions Our methodology permits an explicit quantitation of the mediation of phenotypic associations with DNA methylation by cell composition effects. Although more work is needed to investigate functional information related to estimated methylomes, our proposed method provides a novel and useful foundation for conducting DNA methylation studies on heterogeneous tissues lacking reference data. Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-1140-4) contains supplementary material, which is available to authorized users.
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              Sorting out the cellular functions of sorting nexins.

              Sorting nexins are a diverse group of cellular trafficking proteins that are unified by the presence of a phospholipid-binding motif - the PX domain. The ability of these proteins to bind specific phospholipids, as well as their propensity to form protein-protein complexes, points to a role for these proteins in membrane trafficking and protein sorting. It will be interesting to determine whether the various sorting nexins have specialized or generalized roles in protein trafficking.
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                Author and article information

                Journal
                101708159
                46681
                Immunohorizons
                Immunohorizons
                ImmunoHorizons
                2573-7732
                4 August 2019
                02 July 2019
                02 July 2019
                08 August 2019
                : 3
                : 7
                : 274-281
                Affiliations
                [* ]Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756;
                []Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756;
                []Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756;
                [§ ]Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756;
                []Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756
                Author notes
                [1]

                Contributed equally to the manuscript.

                Address correspondence and reprint requests to: Dr. Alix Ashare, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Borwell 508E, Lebanon, NH 03756. Alix.Ashare@ 123456hitchcock.org
                Author information
                http://orcid.org/0000-0003-1748-2520
                http://orcid.org/0000-0001-9154-1256
                http://orcid.org/0000-0003-3022-426X
                Article
                NIHMS1043936
                10.4049/immunohorizons.1900042
                6686200
                31356157
                0d9be99b-43bd-4a6d-87f9-0fb79b89b89b

                This article is distributed under the terms of the CC BY-NC 4.0 Unported license.

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