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      TET3 epigenetically controls feeding and stress response behaviors via AGRP neurons

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          Abstract

          The TET family of dioxygenases promote DNA demethylation by oxidizing 5-methylcytosine to 5-hydroxymethylcytosine (5hmC). Hypothalamic agouti-related peptide–expressing (AGRP-expressing) neurons play an essential role in driving feeding, while also modulating nonfeeding behaviors. Besides AGRP, these neurons produce neuropeptide Y (NPY) and the neurotransmitter GABA, which act in concert to stimulate food intake and decrease energy expenditure. Notably, AGRP, NPY, and GABA can also elicit anxiolytic effects. Here, we report that in adult mouse AGRP neurons, CRISPR-mediated genetic ablation of Tet3, not previously known to be involved in central control of appetite and metabolism, induced hyperphagia, obesity, and diabetes, in addition to a reduction of stress-like behaviors. TET3 deficiency activated AGRP neurons, simultaneously upregulated the expression of Agrp, Npy, and the vesicular GABA transporter Slc32a1, and impeded leptin signaling. In particular, we uncovered a dynamic association of TET3 with the Agrp promoter in response to leptin signaling, which induced 5hmC modification that was associated with a chromatin-modifying complex leading to transcription inhibition, and this regulation occurred in both the mouse models and human cells. Our results unmasked TET3 as a critical central regulator of appetite and energy metabolism and revealed its unexpected dual role in the control of feeding and other complex behaviors through AGRP neurons.

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          Improved vectors and genome-wide libraries for CRISPR screening.

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            Positional cloning of the mouse obese gene and its human homologue.

            The mechanisms that balance food intake and energy expenditure determine who will be obese and who will be lean. One of the molecules that regulates energy balance in the mouse is the obese (ob) gene. Mutation of ob results in profound obesity and type II diabetes as part of a syndrome that resembles morbid obesity in humans. The ob gene product may function as part of a signalling pathway from adipose tissue that acts to regulate the size of the body fat depot.
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              Genome-wide mapping of HATs and HDACs reveals distinct functions in active and inactive genes.

              Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs.
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                Author and article information

                Contributors
                Journal
                J Clin Invest
                J Clin Invest
                J Clin Invest
                The Journal of Clinical Investigation
                American Society for Clinical Investigation
                0021-9738
                1558-8238
                3 October 2022
                3 October 2022
                3 October 2022
                : 132
                : 19
                : e162365
                Affiliations
                [1 ]Department of Obstetrics, Gynecology and Reproductive Sciences,
                [2 ]Yale Center for Molecular and Systems Metabolism, and
                [3 ]Department of Comparative Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
                [4 ]Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
                [5 ]Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, Connecticut, USA.
                [6 ]Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA.
                Author notes
                Address correspondence to: Yingqun Huang, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, 310 Cedar Street, LSOG 205C, New Haven, Connecticut 06510, USA. Phone: 203.737.2578; Email: yingqun.huang@ 123456yale.edu . Or to: Tamas Horvath: Department of Comparative Medicine, 310 Cedar Street, P.O. Box 208016, New Haven, Connecticut, 06520, USA. Phone: 203.785.2525; Email: tamas.horvath@ 123456yale.edu .
                Author information
                http://orcid.org/0000-0001-5282-6400
                http://orcid.org/0000-0002-0787-8049
                http://orcid.org/0000-0002-0365-8305
                http://orcid.org/0000-0002-9873-6387
                http://orcid.org/0000-0002-6542-7406
                http://orcid.org/0000-0002-9337-5017
                http://orcid.org/0000-0003-1195-9607
                http://orcid.org/0000-0002-0379-6580
                http://orcid.org/0000-0002-5366-9846
                http://orcid.org/0000-0002-2035-4936
                http://orcid.org/0000-0002-7522-4602
                http://orcid.org/0000-0002-0663-8465
                Article
                162365
                10.1172/JCI162365
                9525119
                36189793
                9544e453-e879-4dac-82d7-23ef70e2ad3e
                © 2022 Di Xie et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 June 2022
                : 2 August 2022
                Funding
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases, https://doi.org/10.13039/100000062;
                Award ID: DK120891
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases, https://doi.org/10.13039/100000062;
                Award ID: DA046160
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases
                Award ID: DK045735
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases, https://doi.org/10.13039/100000062;
                Award ID: DK126447
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases
                Award ID: DK119386,DK124321
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases, https://doi.org/10.13039/100000062;
                Award ID: HD099975,AG067329,AG052005
                Categories
                Research Article

                metabolism,neuroscience,diabetes,leptin,neuroendocrine regulation

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