4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking Activity

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mechanical forces are increasingly recognized as major regulators of several physiological processes at both the molecular and cellular level; therefore, a deep understanding of the sensing of these forces and their conversion into electrical signals are essential for studying the mechanosensitive properties of soft biological tissues. To contribute to this field, we present a dual-purpose device able to mechanically stimulate retinal tissue and to record the spiking activity of retinal ganglion cells (RGCs). This new instrument relies on combining ferrule-top micro-indentation, which provides local measurements of viscoelasticity, with high-density multi-electrode array (HD-MEAs) to simultaneously record the spontaneous activity of the retina. In this paper, we introduce this instrument, describe its technical characteristics, and present a proof-of-concept experiment that shows how RGC spiking activity of explanted mice retinas respond to mechanical micro-stimulations of their photoreceptor layer. The data suggest that, under specific conditions of indentation, the retina perceive the mechanical stimulation as modulation of the visual input, besides the longer time-scale of activation, and the increase in spiking activity is not only localized under the indentation probe, but it propagates across the retinal tissue.

          Related collections

          Most cited references48

          • Record: found
          • Abstract: found
          • Article: not found

          Local force and geometry sensing regulate cell functions.

          The shapes of eukaryotic cells and ultimately the organisms that they form are defined by cycles of mechanosensing, mechanotransduction and mechanoresponse. Local sensing of force or geometry is transduced into biochemical signals that result in cell responses even for complex mechanical parameters such as substrate rigidity and cell-level form. These responses regulate cell growth, differentiation, shape changes and cell death. Recent tissue scaffolds that have been engineered at the micro- and nanoscale level now enable better dissection of the mechanosensing, transduction and response mechanisms.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Mechanical forces direct stem cell behaviour in development and regeneration

            Stem cells and their local microenvironment, or niche, communicate through mechanical cues to regulate cell fate and cell behaviour and to guide developmental processes. During embryonic development, mechanical forces are involved in patterning and organogenesis. The physical environment of pluripotent stem cells regulates their self-renewal and differentiation. Mechanical and physical cues are also important in adult tissues, where adult stem cells require physical interactions with the extracellular matrix to maintain their potency. In vitro, synthetic models of the stem cell niche can be used to precisely control and manipulate the biophysical and biochemical properties of the stem cell microenvironment and to examine how the mode and magnitude of mechanical cues, such as matrix stiffness or applied forces, direct stem cell differentiation and function. Fundamental insights into the mechanobiology of stem cells also inform the design of artificial niches to support stem cells for regenerative therapies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Intrinsic extracellular matrix properties regulate stem cell differentiation.

              One of the recent paradigm shifts in stem cell biology has been the discovery that stem cells can begin to differentiate into mature tissue cells when exposed to intrinsic properties of the extracellular matrix (ECM), such as matrix structure, elasticity, and composition. These parameters are known to modulate the forces a cell can exert upon its matrix. Mechano-sensitive pathways subsequently convert these biophysical cues into biochemical signals that commit the cell to a specific lineage. Just as with well-studied growth factors, ECM parameters are extremely dynamic and are spatially- and temporally-controlled during development, suggesting that they play a morphogenetic role in guiding differentiation and arrangement of cells. Our ability to dynamically regulate the stem cell niche as the body does is likely a critical requirement for developing differentiated cells from stem cells for therapeutic applications. Here, we present the emergence of stem cell mechanobiology and its future challenges with new biomimetic, three-dimensional scaffolds that are being used therapeutically to treat disease. Copyright 2009 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                27 September 2019
                2019
                : 13
                : 1023
                Affiliations
                [1] 1LaserLab, Department of Physics and Astronomy, Vrije Universiteit Amsterdam , Amsterdam, Netherlands
                [2] 2NetS3 Laboratory, Neuroscience and Brain Technologies Department, Fondazione Istituto Italiano di Tecnologia , Genova, Italy
                Author notes

                Edited by: Laura Ballerini, International School for Advanced Studies (SISSA), Italy

                Reviewed by: Shimon Marom, Technion Israel Institute of Technology, Israel; Mark Shein-Idelson, Tel Aviv University, Israel

                *Correspondence: Marica Marrese, m.marrese@ 123456vu.nl
                Davide Iannuzzi, d.iannuzzi@ 123456vu.nl

                These authors have contributed equally to this work

                Present address: Hedde van Hoorn, Engineering Physics, Faculty of Technology, Innovation and Society, The Hague University of Applied Sciences, Delft, Netherlands Alessandro Maccione, 3Brain AG, Wädenswil, Switzerland

                This article was submitted to Neural Technology, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2019.01023
                6776634
                88a7015c-e600-4c7b-9197-a32d10f20cc1
                Copyright © 2019 Marrese, Lonardoni, Boi, van Hoorn, Maccione, Zordan, Iannuzzi and Berdondini.

                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 2019
                : 09 September 2019
                Page count
                Figures: 8, Tables: 1, Equations: 3, References: 51, Pages: 13, Words: 0
                Funding
                Funded by: European Research Council 10.13039/501100000781
                Award ID: MM was financially supported by the European Research Council under the European Union’s Seventh Framework Programme (FP/20072013)/ERC grant agreement no. [615170].
                Categories
                Neuroscience
                Original Research

                Neurosciences
                mechanical stimulation,high-density electrophysiology,retina,neural circuits,viscoelasticity,spontaneous activity

                Comments

                Comment on this article