Abstract
Event Abstract Back to Event Cell-type specific circuit analysis using a digital brain atlas which integrates anatomical and physiological data Patrik Krieger1*, Bert Sakmann2, Alexander Groh2, Hanno Meyer2 and Nathaniel Heintz3 1 Karolinska Institutet, Sweden 2 Max Planck Institute for Medical Research, Germany 3 The Rockefeller University, United States In BAC (Bacterial artificial chromosome) transgenic mice we investigated the anatomical and functional properties of two populations of layer 5 pyramids in somatosensory and visual cortex. The two populations were selectively labelled by EGFP expressed under the control of cell-type specific promoters. The genotypic profile discriminated between thick-tufted corticopontine and slender-tufted corticostriatal layer 5 pyramids. The projection target specificity of the two populations was determined by retrograde tracer injections and visualization of EGFP-labelled axons in the target area. Using the fluorescent labelling we could target our investigation to a specific cell-type in layer 5 and perform (i) electrophysiological recordings to investigate cell-type specific intrinsic membrane properties and connectivity (ii) a quantification of the dendrite morphology and (iii) an analysis of the spatial distribution profiles of somata from the two populations and (iv) an investigation of the overlap of thalamocortical axons and dendrites from the two populations of corticofugal layer 5 pyramids. We show that targeting cell types using BAC-transgenic mice could be a valuable approach to generate atlases consisting of both detailed anatomical data, including both cell-type specific output and input, and physiological data relevant for functional circuit analysis. Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008. Presentation Type: Poster Presentation Topic: General Neuroinformatics Citation: Krieger P, Sakmann B, Groh A, Meyer H and Heintz N (2008). Cell-type specific circuit analysis using a digital brain atlas which integrates anatomical and physiological data. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.007 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 28 Jul 2008; Published Online: 28 Jul 2008. * Correspondence: Patrik Krieger, Karolinska Institutet, Stockholm, Sweden, patrik.krieger@rub.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Patrik Krieger Bert Sakmann Alexander Groh Hanno Meyer Nathaniel Heintz Google Patrik Krieger Bert Sakmann Alexander Groh Hanno Meyer Nathaniel Heintz Google Scholar Patrik Krieger Bert Sakmann Alexander Groh Hanno Meyer Nathaniel Heintz PubMed Patrik Krieger Bert Sakmann Alexander Groh Hanno Meyer Nathaniel Heintz Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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