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      The preference for sugar over sweetener depends on a gut sensor cell

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          Abstract

          Guided by gut sensory cues, humans and animals prefer nutritive sugars over non-caloric sweeteners, but how the gut steers such preferences remains unknown. In the intestine, neuropod cells synapse with vagal neurons to convey sugar stimuli to the brain within seconds. Here, we found that cholecystokinin (CCK)-labeled duodenal neuropod cells differentiate and transduce luminal stimuli from sweeteners and sugars to the vagus nerve using sweet taste receptors and sodium glucose transporters. The two stimulus types elicited distinct neural pathways: while sweetener stimulated purinergic neurotransmission, sugar stimulated glutamatergic neurotransmission. To probe the contribution of these cells to behavior, we developed optogenetics for the gut lumen by engineering a flexible fiberoptic. We showed that preference for sugar over sweetener in mice depends on neuropod cell glutamatergic signaling. By swiftly discerning the precise identity of nutrient stimuli, gut neuropod cells serve as the entry point to guide nutritive choices.

          Abstract

          Buchanan, Rupprecht, Kaelberer and colleagues show that the preference for sugar over sweetener in mice depends on gut neuropod cells. Akin to other sensor cells, neuropod cells swiftly communicate the precise identity of stimuli to drive food choices.

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          Most cited references68

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          Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity and function. Here, we develop a strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq experiments with scATAC-seq to explore chromatin differences in closely related interneuron subsets and project protein expression measurements onto a bone marrow atlas to characterize lymphocyte populations. Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns. Our work presents a strategy for the assembly of harmonized references and transfer of information across datasets.
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            Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche.

            The intestinal epithelium is the most rapidly self-renewing tissue in adult mammals. We have recently demonstrated the presence of about six cycling Lgr5(+) stem cells at the bottoms of small-intestinal crypts. Here we describe the establishment of long-term culture conditions under which single crypts undergo multiple crypt fission events, while simultanously generating villus-like epithelial domains in which all differentiated cell types are present. Single sorted Lgr5(+) stem cells can also initiate these cryptvillus organoids. Tracing experiments indicate that the Lgr5(+) stem-cell hierarchy is maintained in organoids. We conclude that intestinal cryptvillus units are self-organizing structures, which can be built from a single stem cell in the absence of a non-epithelial cellular niche.
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              Millisecond-timescale, genetically targeted optical control of neural activity.

              Temporally precise, noninvasive control of activity in well-defined neuronal populations is a long-sought goal of systems neuroscience. We adapted for this purpose the naturally occurring algal protein Channelrhodopsin-2, a rapidly gated light-sensitive cation channel, by using lentiviral gene delivery in combination with high-speed optical switching to photostimulate mammalian neurons. We demonstrate reliable, millisecond-timescale control of neuronal spiking, as well as control of excitatory and inhibitory synaptic transmission. This technology allows the use of light to alter neural processing at the level of single spikes and synaptic events, yielding a widely applicable tool for neuroscientists and biomedical engineers.
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                Author and article information

                Contributors
                diego.bohorquez@duke.edu
                Journal
                Nat Neurosci
                Nat Neurosci
                Nature Neuroscience
                Nature Publishing Group US (New York )
                1097-6256
                1546-1726
                13 January 2022
                13 January 2022
                2022
                : 25
                : 2
                : 191-200
                Affiliations
                [1 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Laboratory of Gut Brain Neurobiology, , Duke University, ; Durham, NC USA
                [2 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Duke University School of Medicine, ; Durham, NC USA
                [3 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Medicine, , Duke University, ; Durham, NC USA
                [4 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, McGovern Institute for Brain Research, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [5 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Research Laboratory of Electronics, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [6 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Department of Chemistry, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [7 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Neurobiology, , Duke University, ; Durham, NC USA
                [8 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Trinity College of Arts & Sciences, , Duke University, ; Durham, NC USA
                [9 ]GRID grid.37172.30, ISNI 0000 0001 2292 0500, Department of Bio and Brain Engineering, , Korea Advanced Institute of Science and Technology (KAIST), ; Daejeon, Republic of Korea
                [10 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Departments of Materials Science & Engineering and Brain & Cognitive Sciences, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [11 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Duke Institute for Brain Sciences, , Duke University, ; Durham, NC USA
                [12 ]Present Address: MSRB-I, room 221A, 203 Research Drive, Durham, NC USA
                Author information
                http://orcid.org/0000-0002-7819-0583
                http://orcid.org/0000-0003-0351-2661
                http://orcid.org/0000-0001-9222-3452
                http://orcid.org/0000-0003-4360-6398
                http://orcid.org/0000-0002-1981-9628
                http://orcid.org/0000-0001-6495-5197
                http://orcid.org/0000-0003-3434-2212
                Article
                982
                10.1038/s41593-021-00982-7
                8825280
                35027761
                19bb9bf7-d58c-490f-94b9-77f32fc47091
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 February 2021
                : 9 November 2021
                Funding
                Funded by: HHMI Medical Research Fellowship
                Funded by: FundRef https://doi.org/10.13039/100006792, Hartwell Foundation (The Hartwell Foundation);
                Award ID: Postdoctoral Fellowship
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000062, U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases);
                Award ID: F32 DK127757
                Award ID: T32 DK007568
                Award ID: F30 DK122712
                Award ID: R21 AT010818
                Award ID: DP2 MH122402
                Award ID: R01 DK131112
                Award Recipient :
                Funded by: Duke National University Singapore, Pilot Research Grant
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2022

                Neurosciences
                cellular neuroscience,sensory processing
                Neurosciences
                cellular neuroscience, sensory processing

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