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      The role of GABA in islet function

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          Abstract

          Gamma aminobutyric acid (GABA) is a non-proteinogenic amino acid and neurotransmitter that is produced in the islet at levels as high as in the brain. GABA is synthesized by the enzyme glutamic acid decarboxylase (GAD), of which the 65 kDa isoform (GAD65) is a major autoantigen in type 1 diabetes. Originally described to be released via synaptic-like microvesicles or from insulin secretory vesicles, beta cells are now understood to release substantial quantities of GABA directly from the cytosol via volume-regulated anion channels (VRAC). Once released, GABA influences the activity of multiple islet cell types through ionotropic GABA A receptors and metabotropic GABA B receptors. GABA also interfaces with cellular metabolism and ATP production via the GABA shunt pathway. Beta cells become depleted of GABA in type 1 diabetes (in remaining beta cells) and type 2 diabetes, suggesting that loss or reduction of islet GABA correlates with diabetes pathogenesis and may contribute to dysfunction of alpha, beta, and delta cells in diabetic individuals. While the function of GABA in the nervous system is well-understood, the description of the islet GABA system is clouded by differing reports describing multiple secretion pathways and effector functions. This review will discuss and attempt to unify the major experimental results from over 40 years of literature characterizing the role of GABA in the islet.

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          Proteomics. Tissue-based map of the human proteome.

          Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
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            Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris

            (2018)
            We have created a compendium of single cell transcriptomic data from the model organism Mus musculus comprising more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations, and allow for direct and controlled comparison of gene expression in cell types shared between tissues, such as T-lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3’-end counting, enabled the survey of thousands of cells at relatively low coverage, while the other, FACS-based full length transcript analysis, enabled characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology.
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              A single–cell type transcriptomics map of human tissues

              Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues. Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single–cell type map of human tissues. An open access atlas has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs and between organs.
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                Author and article information

                Contributors
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                29 September 2022
                2022
                : 13
                : 972115
                Affiliations
                [1] 1 J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida , Gainesville, FL, United States
                [2] 2 Islet Biology and Metabolism Lab – I.B.M. Lab, Department of Physiological Sciences, Center of Biological Sciences, Federal University of Santa Catarina - UFSC , Florianópolis, Brazil
                Author notes

                Edited by: Leticia Prates Roma, Universität des Saarlandes, Germany

                Reviewed by: Andrei I. Tarasov, Ulster University, United Kingdom; Laura Marroqui, Miguel Hernández University of Elche, Spain

                *Correspondence: Edward A. Phelps, ephelps@ 123456bme.ufl.edu

                This article was submitted to Diabetes: Molecular Mechanisms, a section of the journal Frontiers in Endocrinology

                Article
                10.3389/fendo.2022.972115
                9558271
                36246925
                db131a50-8587-4142-94e3-04cc2315e51a
                Copyright © 2022 Hagan, Ferreira, Santos and Phelps

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 June 2022
                : 29 August 2022
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 146, Pages: 18, Words: 9677
                Funding
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases , doi 10.13039/100000062;
                Award ID: R01DK124267
                Funded by: Diabetes Research Connection , doi 10.13039/100019970;
                Award ID: 47
                Categories
                Endocrinology
                Review

                Endocrinology & Diabetes
                γ-aminobutyric acid (gaba),islet,pancreas,signaling,receptor,insulin,beta cell
                Endocrinology & Diabetes
                γ-aminobutyric acid (gaba), islet, pancreas, signaling, receptor, insulin, beta cell

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