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      Region-specific variation in the properties of skeletal adipocytes reveals regulated and constitutive marrow adipose tissues

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          Abstract

          Marrow adipose tissue (MAT) accumulates in diverse clinical conditions but remains poorly understood. Here we show region-specific variation in MAT adipocyte development, regulation, size, lipid composition, gene expression, and genetic determinants. Early MAT formation in mice is conserved, while later development is strain dependent. Proximal, but not distal, MAT is lost with 21-day cold exposure. Rat MAT adipocytes from distal sites have an increased proportion of monounsaturated fatty acids and expression of Scd1/Scd2, Cebpa and Cebpb. Humans also have increased distal marrow fat unsaturation. We define proximal ‘regulated’ MAT (rMAT) as single adipocytes interspersed with active hematopoiesis, whereas distal ‘constitutive’ MAT (cMAT) has low hematopoiesis, contains larger adipocytes, develops earlier, and remains preserved upon systemic challenges. Loss of rMAT occurs in mice with congenital generalized lipodystrophy type 4, whereas both rMAT and cMAT are preserved in mice with congenital generalized lipodystrophy type 3. Consideration of these MAT subpopulations may be important for future studies linking MAT to bone biology, hematopoiesis and whole-body metabolism.

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          Most cited references36

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            A rapid method of total lipid extraction and purification.

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              Is Open Access

              MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis

              First released in 2009, MetaboAnalyst (www.metaboanalyst.ca) was a relatively simple web server designed to facilitate metabolomic data processing and statistical analysis. With continuing advances in metabolomics along with constant user feedback, it became clear that a substantial upgrade to the original server was necessary. MetaboAnalyst 2.0, which is the successor to MetaboAnalyst, represents just such an upgrade. MetaboAnalyst 2.0 now contains dozens of new features and functions including new procedures for data filtering, data editing and data normalization. It also supports multi-group data analysis, two-factor analysis as well as time-series data analysis. These new functions have also been supplemented with: (i) a quality-control module that allows users to evaluate their data quality before conducting any analysis, (ii) a functional enrichment analysis module that allows users to identify biologically meaningful patterns using metabolite set enrichment analysis and (iii) a metabolic pathway analysis module that allows users to perform pathway analysis and visualization for 15 different model organisms. In developing MetaboAnalyst 2.0 we have also substantially improved its graphical presentation tools. All images are now generated using anti-aliasing and are available over a range of resolutions, sizes and formats (PNG, TIFF, PDF, PostScript, or SVG). To improve its performance, MetaboAnalyst 2.0 is now hosted on a much more powerful server with substantially modified code to take advantage the server’s multi-core CPUs for computationally intensive tasks. MetaboAnalyst 2.0 also maintains a collection of 50 or more FAQs and more than a dozen tutorials compiled from user queries and requests. A downloadable version of MetaboAnalyst 2.0, along detailed instructions for local installation is now available as well.
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                Author and article information

                Journal
                101528555
                37539
                Nat Commun
                Nat Commun
                Nature communications
                2041-1723
                2 July 2015
                06 August 2015
                2015
                06 February 2016
                : 6
                : 7808
                Affiliations
                [1 ]Departments of Molecular & Integrative Physiology and Internal Medicine, University of Michigan, Ann Arbor, MI, USA
                [2 ]Center for Clinical and Translational Research, Maine Medical Center Research Institute, Scarborough, ME, USA
                [3 ]Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA
                [4 ]Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
                [5 ]Department of Biochemistry, Boston University School of Medicine, Boston, MA
                [6 ]Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA
                Author notes
                [* ] Corresponding Authors Erica L Scheller, 6458 Brehm Tower, 1000 Wall St, Ann Arbor, MI 48105, scheller@ 123456umich.edu , Phone: 1 (734) 647-7721, Fax: (734) 232-8175, Ormond A MacDougald, 6313 Brehm Tower, 1000 Wall St, Ann Arbor, MI 48105, macdouga@ 123456umich.edu , Phone: 1 (734) 647-4880, Fax: (734) 232-8175
                Article
                NIHMS700729
                10.1038/ncomms8808
                4530473
                26245716
                8542a7f5-4b1b-4cc6-b93d-e9125d850633

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