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      Neurotransmitter content heterogeneity within an interneuron class shapes inhibitory transmission at a central synapse

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          Abstract

          Neurotransmitter content is deemed the most basic defining criterion for neuronal classes, contrasting with the intercellular heterogeneity of many other molecular and functional features. Here we show, in the adult mouse brain, that neurotransmitter content variegation within a neuronal class is a component of its functional heterogeneity. Golgi cells (GoCs), the well-defined class of cerebellar interneurons inhibiting granule cells (GrCs), contain cytosolic glycine, accumulated by the neuronal transporter GlyT2, and GABA in various proportions. By performing acute manipulations of cytosolic GABA and glycine supply, we find that competition of glycine with GABA reduces the charge of IPSC evoked in GrCs and, more specifically, the amplitude of a slow component of the IPSC decay. We then pair GrCs recordings with optogenetic stimulations of single GoCs, which preserve the intracellular transmitter mixed content. We show that the strength and decay kinetics of GrCs IPSCs, which are entirely mediated by GABA A receptors, are negatively correlated to the presynaptic expression of GlyT2 by GoCs. We isolate a slow spillover component of GrCs inhibition that is also affected by the expression of GlyT2, leading to a 56% decrease in relative charge. Our results support the hypothesis that presynaptic loading of glycine negatively impacts the GABAergic transmission in mixed interneurons, most likely through a competition for vesicular filling. We discuss how the heterogeneity of neurotransmitter supply within mixed interneurons like the GoC class may provide a presynaptic mechanism to tune the gain of microcircuits such as the granular layer, thereby expanding the realm of their possible dynamic behaviors.

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq.

            The mammalian cerebral cortex supports cognitive functions such as sensorimotor integration, memory, and social behaviors. Normal brain function relies on a diverse set of differentiated cell types, including neurons, glia, and vasculature. Here, we have used large-scale single-cell RNA sequencing (RNA-seq) to classify cells in the mouse somatosensory cortex and hippocampal CA1 region. We found 47 molecularly distinct subclasses, comprising all known major cell types in the cortex. We identified numerous marker genes, which allowed alignment with known cell types, morphology, and location. We found a layer I interneuron expressing Pax6 and a distinct postmitotic oligodendrocyte subclass marked by Itpr2. Across the diversity of cortical cell types, transcription factors formed a complex, layered regulatory code, suggesting a mechanism for the maintenance of adult cell type identity. Copyright © 2015, American Association for the Advancement of Science.
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              Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex.

              Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of the features that distinguish one type of neuron from another. The problems inherent in this are particularly acute when studying cortical interneurons. To tackle this, we convened a representative group of researchers to agree on a set of terms to describe the anatomical, physiological and molecular features of GABAergic interneurons of the cerebral cortex. The resulting terminology might provide a stepping stone towards a future classification of these complex and heterogeneous cells. Consistent adoption will be important for the success of such an initiative, and we also encourage the active involvement of the broader scientific community in the dynamic evolution of this project.
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                Author and article information

                Contributors
                Journal
                Front Cell Neurosci
                Front Cell Neurosci
                Front. Cell. Neurosci.
                Frontiers in Cellular Neuroscience
                Frontiers Media S.A.
                1662-5102
                04 January 2023
                2022
                : 16
                : 1060189
                Affiliations
                Institut de Biologie de l’Ecole Normale Supérieure (IBENS), École Normale Supérieure, Université PSL, CNRS, INSERM , Paris, France
                Author notes

                Edited by: Haruyuki Kamiya, Hokkaido University, Japan

                Reviewed by: Taro Ishikawa, Jikei University School of Medicine, Japan; Moritoshi Hirono, Wakayama Medical University, Japan; Timothy Balmer, Arizona State University, United States

                *Correspondence: Stéphane Dieudonné, dieudon@ 123456bio.ens.psl.eu

                ORCID: Dimitri Dumontier, orcid.org/0000-0002-5515-2162; Caroline Mailhes-Hamon, orcid.org/0000-0002-7009-7798; Stéphane Supplisson, orcid.org/0000-0002-0062-9752; Stéphane Dieudonné, orcid.org/0000-0001-5336-8894

                This article was submitted to Cellular Neurophysiology, a section of the journal Frontiers in Cellular Neuroscience

                Article
                10.3389/fncel.2022.1060189
                9846633
                36687523
                595a7717-dff0-48fa-80f5-904588281933
                Copyright © 2023 Dumontier, Mailhes-Hamon, Supplisson and Dieudonné.

                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
                : 02 October 2022
                : 05 December 2022
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 110, Pages: 19, Words: 14219
                Funding
                Funded by: Agence Nationale de la Recherche, doi 10.13039/501100001665;
                Funded by: Fondation pour la Recherche Médicale, doi 10.13039/501100002915;
                Categories
                Cellular Neuroscience
                Original Research

                Neurosciences
                cerebellum,co-transmission,golgi cells,granule cells,inhibition
                Neurosciences
                cerebellum, co-transmission, golgi cells, granule cells, inhibition

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