Nuclear receptor REVERBα is a state-dependent regulator of liver energy metabolism.
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| Title: | Nuclear receptor REVERBα is a state-dependent regulator of liver energy metabolism. |
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| Authors: | Hunter AL; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Pelekanou CE; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Adamson A; Genome Editing Unit, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Downton P; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Barron NJ; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Cornfield T; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, OX3 7LE Oxford, United Kingdom.; National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, OX3 9DU Oxford, United Kingdom., Poolman TM; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, OX3 7LE Oxford, United Kingdom.; National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, OX3 9DU Oxford, United Kingdom., Humphreys N; Genome Editing Unit, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Cunningham PS; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Hodson L; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, OX3 7LE Oxford, United Kingdom.; National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, OX3 9DU Oxford, United Kingdom., Loudon ASI; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Iqbal M; Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom., Bechtold DA; Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PT Manchester, United Kingdom; david.bechtold@manchester.ac.uk David.Ray@ocdem.ox.ac.uk., Ray DW; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, OX3 7LE Oxford, United Kingdom; david.bechtold@manchester.ac.uk David.Ray@ocdem.ox.ac.uk.; National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, OX3 9DU Oxford, United Kingdom. |
| Source: | Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2020 Oct 13; Vol. 117 (41), pp. 25869-25879. Date of Electronic Publication: 2020 Sep 28. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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