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Ghézali G, Ribot J, Curry N, Pillet LE, Boutet-Porretta F, Mozheiko D, Calvo CF, Ezan P, Perfettini I, Lecoin L, Janel S, Zapata J, Escartin C, Etienne-Manneville S, Kaminski CF, Rouach N. Connexin 30 locally controls actin cytoskeleton and mechanical remodeling in motile astrocytes. Glia 2024; 72:1915-1929. [PMID: 38982826 DOI: 10.1002/glia.24590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/04/2024] [Accepted: 06/25/2024] [Indexed: 07/11/2024]
Abstract
During brain maturation, astrocytes establish complex morphologies unveiling intense structural plasticity. Connexin 30 (Cx30), a gap-junction channel-forming protein expressed postnatally, dynamically regulates during development astrocyte morphological properties by controlling ramification and extension of fine processes. However, the underlying mechanisms remain unexplored. Here, we found in vitro that Cx30 interacts with the actin cytoskeleton in astrocytes and inhibits its structural reorganization and dynamics during cell migration. This translates into an alteration of local physical surface properties, as assessed by correlative imaging using stimulated emission depletion (STED) super resolution imaging and atomic force microscopy (AFM). Specifically, Cx30 impaired astrocyte cell surface topology and cortical stiffness in motile astrocytes. As Cx30 alters actin organization, dynamics, and membrane physical properties, we assessed whether it controls astrocyte migration. We found that Cx30 reduced persistence and directionality of migrating astrocytes. Altogether, these data reveal Cx30 as a brake for astrocyte structural and mechanical plasticity.
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Affiliation(s)
- Grégory Ghézali
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
- Doctoral School N° 158, Sorbonne Université, Paris, France
| | - Jérôme Ribot
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
| | - Nathan Curry
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Laure-Elise Pillet
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
- Doctoral School N°562, Université Paris Cité, Paris, France
| | - Flora Boutet-Porretta
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
- Doctoral School N° 158, Sorbonne Université, Paris, France
| | - Daria Mozheiko
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
- Doctoral School N° 158, Sorbonne Université, Paris, France
| | - Charles-Félix Calvo
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
| | - Pascal Ezan
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
| | - Isabelle Perfettini
- Institut Pasteur, Université de Paris, CNRS, Cell Polarity, Migration and Cancer Unit, Paris, France
| | - Laure Lecoin
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
| | - Sébastien Janel
- Université de Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Jonathan Zapata
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
| | - Carole Escartin
- Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France
| | | | - Clemens F Kaminski
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Nathalie Rouach
- Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Labex Memolife, Université PSL, Paris, France
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
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O'Neill KM, Anderson ED, Mukherjee S, Gandu S, McEwan SA, Omelchenko A, Rodriguez AR, Losert W, Meaney DF, Babadi B, Firestein BL. Time-dependent homeostatic mechanisms underlie brain-derived neurotrophic factor action on neural circuitry. Commun Biol 2023; 6:1278. [PMID: 38110605 PMCID: PMC10728104 DOI: 10.1038/s42003-023-05638-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 11/27/2023] [Indexed: 12/20/2023] Open
Abstract
Plasticity and homeostatic mechanisms allow neural networks to maintain proper function while responding to physiological challenges. Despite previous work investigating morphological and synaptic effects of brain-derived neurotrophic factor (BDNF), the most prevalent growth factor in the central nervous system, how exposure to BDNF manifests at the network level remains unknown. Here we report that BDNF treatment affects rodent hippocampal network dynamics during development and recovery from glutamate-induced excitotoxicity in culture. Importantly, these effects are not obvious when traditional activity metrics are used, so we delve more deeply into network organization, functional analyses, and in silico simulations. We demonstrate that BDNF partially restores homeostasis by promoting recovery of weak and medium connections after injury. Imaging and computational analyses suggest these effects are caused by changes to inhibitory neurons and connections. From our in silico simulations, we find that BDNF remodels the network by indirectly strengthening weak excitatory synapses after injury. Ultimately, our findings may explain the difficulties encountered in preclinical and clinical trials with BDNF and also offer information for future trials to consider.
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Affiliation(s)
- Kate M O'Neill
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
- Biomedical Engineering Graduate Program, Rutgers University, Piscataway, NJ, USA
- Institute for Physical Science & Technology, University of Maryland, College Park, MD, USA
| | - Erin D Anderson
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Shoutik Mukherjee
- Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
| | - Srinivasa Gandu
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
- Cell and Developmental Biology Graduate Program, Rutgers University, Piscataway, NJ, USA
| | - Sara A McEwan
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
- Neuroscience Graduate Program, Rutgers University, Piscataway, NJ, USA
| | - Anton Omelchenko
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
- Neuroscience Graduate Program, Rutgers University, Piscataway, NJ, USA
| | - Ana R Rodriguez
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
- Biomedical Engineering Graduate Program, Rutgers University, Piscataway, NJ, USA
| | - Wolfgang Losert
- Department of Physics, University of Maryland, College Park, MD, USA
- Institute for Physical Science & Technology, University of Maryland, College Park, MD, USA
| | - David F Meaney
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Behtash Babadi
- Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
| | - Bonnie L Firestein
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA.
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Mennona NJ, Sedelnikova A, Echchgadda I, Losert W. Filament displacement image analytics tool for use in investigating dynamics of dense microtubule networks. Phys Rev E 2023; 108:034411. [PMID: 37849213 DOI: 10.1103/physreve.108.034411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/24/2023] [Indexed: 10/19/2023]
Abstract
The fate and motion of cells is influenced by a variety of physical characteristics of their microenvironments. Traditionally, mechanobiology focuses on external mechanical phenomena such as cell movement and environmental sensing. However, cells are inherently dynamic, where internal waves and internal oscillations are a hallmark of living cells observed under a microscope. We propose that these internal mechanical rhythms provide valuable information about cell health. Therefore, it is valuable to capture the rhythms inside cells and quantify how drugs or physical interventions affect a cell's internal dynamics. One of the key dynamical entities inside cells is the microtubule network. Typically, microtubule dynamics are measured by end-protein tracking. In contrast, this paper introduces an easy-to-implement approach to measure the lateral motion of the microtubule filaments embedded within dense networks with (at least) confocal resolution image sequences. Our tool couples the computer vision algorithm Optical Flow with an anisotropic, rotating Laplacian of Gaussian filtering to characterize the lateral motion of dense microtubule networks. We then showcase additional image analytics used to understand the effect of microtubule orientation and regional location on lateral motion. We argue that our tool and these additional metrics provide a fuller picture of the active forcing environment within cells.
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Affiliation(s)
- Nicholas J Mennona
- Air Force Research Laboratory, Radio Frequency Bioeffects Branch, JBSA Fort Sam Houston, Texas 78234, USA
- Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA
- Deptartment of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - Anna Sedelnikova
- Science Applications International Corporation, JBSA Fort Sam Houston, Texas 78234, USA
| | - Ibtissam Echchgadda
- Air Force Research Laboratory, Radio Frequency Bioeffects Branch, JBSA Fort Sam Houston, Texas 78234, USA
| | - Wolfgang Losert
- Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA
- Deptartment of Physics, University of Maryland, College Park, Maryland 20742, USA
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