1
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Lim SE, Vicente-Munuera P, Mao Y. Forced back into shape: Mechanics of epithelial wound repair. Curr Opin Cell Biol 2024; 87:102324. [PMID: 38290420 DOI: 10.1016/j.ceb.2024.102324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/20/2023] [Accepted: 01/03/2024] [Indexed: 02/01/2024]
Abstract
Wound repair, the closing of a hole, is inherently a physical process that requires the change of shape of materials, in this case, cells and tissues. Not only is efficient and accurate wound repair critical for restoring barrier function and reducing infection, but it is also critical for restoring the complex three-dimensional architecture of an organ. This re-sculpting of tissues requires the complex coordination of cell behaviours in multiple dimensions, in space and time, to ensure that the repaired structure can continue functioning optimally. Recent evidence highlights the importance of cell and tissue mechanics in 2D and 3D to achieve such seamless wound repair.
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Affiliation(s)
- Shu En Lim
- Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK; Institute for the Physics of Living Systems, University College London, Gower Street, London WC1E 6BT, UK
| | - Pablo Vicente-Munuera
- Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK; Institute for the Physics of Living Systems, University College London, Gower Street, London WC1E 6BT, UK
| | - Yanlan Mao
- Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK; Institute for the Physics of Living Systems, University College London, Gower Street, London WC1E 6BT, UK.
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2
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Andrés-San Román JA, Gordillo-Vázquez C, Franco-Barranco D, Morato L, Fernández-Espartero CH, Baonza G, Tagua A, Vicente-Munuera P, Palacios AM, Gavilán MP, Martín-Belmonte F, Annese V, Gómez-Gálvez P, Arganda-Carreras I, Escudero LM. CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia. Cell Rep Methods 2023; 3:100597. [PMID: 37751739 PMCID: PMC10626192 DOI: 10.1016/j.crmeth.2023.100597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 07/19/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023]
Abstract
Decades of research have not yet fully explained the mechanisms of epithelial self-organization and 3D packing. Single-cell analysis of large 3D epithelial libraries is crucial for understanding the assembly and function of whole tissues. Combining 3D epithelial imaging with advanced deep-learning segmentation methods is essential for enabling this high-content analysis. We introduce CartoCell, a deep-learning-based pipeline that uses small datasets to generate accurate labels for hundreds of whole 3D epithelial cysts. Our method detects the realistic morphology of epithelial cells and their contacts in the 3D structure of the tissue. CartoCell enables the quantification of geometric and packing features at the cellular level. Our single-cell cartography approach then maps the distribution of these features on 2D plots and 3D surface maps, revealing cell morphology patterns in epithelial cysts. Additionally, we show that CartoCell can be adapted to other types of epithelial tissues.
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Affiliation(s)
- Jesús A Andrés-San Román
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | - Carmen Gordillo-Vázquez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | - Daniel Franco-Barranco
- Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), 20018 San Sebastian, Spain; Donostia International Physics Center (DIPC), 20018 San Sebastian, Spain
| | - Laura Morato
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | - Cecilia H Fernández-Espartero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | - Gabriel Baonza
- Program of Tissue and Organ Homeostasis, Centro de Biología Molecular Severo Ochoa, CSIC-UAM and Ramón & Cajal Health Research Institute (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain
| | - Antonio Tagua
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | | | - Ana M Palacios
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | - María P Gavilán
- Centro Andaluz de Biología Molecular y Medicina Regenerativa (CABIMER), JA/CSIC/Universidad de Sevilla/Universidad Pablo de Olavide and Departamento de Citología e Histología Normal y Patológica, Facultad de Medicina, Universidad de Sevilla, 41009 Seville, Spain
| | - Fernando Martín-Belmonte
- Program of Tissue and Organ Homeostasis, Centro de Biología Molecular Severo Ochoa, CSIC-UAM and Ramón & Cajal Health Research Institute (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain
| | - Valentina Annese
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain
| | - Pedro Gómez-Gálvez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain; MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Trumpington, Cambridge CB2 0QH, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EG, UK.
| | - Ignacio Arganda-Carreras
- Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), 20018 San Sebastian, Spain; Donostia International Physics Center (DIPC), 20018 San Sebastian, Spain; Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain; Biofisika Institute, 48940 Leioa, Spain.
| | - Luis M Escudero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), 28029 Madrid, Spain.
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3
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Gómez-Gálvez P, Vicente-Munuera P, Anbari S, Tagua A, Gordillo-Vázquez C, Andrés-San Román JA, Franco-Barranco D, Palacios AM, Velasco A, Capitán-Agudo C, Grima C, Annese V, Arganda-Carreras I, Robles R, Márquez A, Buceta J, Escudero LM. A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia. Cell Syst 2022; 13:631-643.e8. [PMID: 35835108 DOI: 10.1016/j.cels.2022.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 02/15/2022] [Accepted: 06/15/2022] [Indexed: 01/26/2023]
Abstract
Epithelial cell organization and the mechanical stability of tissues are closely related. In this context, it has been recently shown that packing optimization in bended or folded epithelia is achieved by an energy minimization mechanism that leads to a complex cellular shape: the "scutoid". Here, we focus on the relationship between this shape and the connectivity between cells. We use a combination of computational, experimental, and biophysical approaches to examine how energy drivers affect the three-dimensional (3D) packing of tubular epithelia. We propose an energy-based stochastic model that explains the 3D cellular connectivity. Then, we challenge it by experimentally reducing the cell adhesion. As a result, we observed an increment in the appearance of scutoids that correlated with a decrease in the energy barrier necessary to connect with new cells. We conclude that tubular epithelia satisfy a quantitative biophysical principle that links tissue geometry and energetics with the average cellular connectivity.
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Affiliation(s)
- Pedro Gómez-Gálvez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.
| | - Pablo Vicente-Munuera
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Samira Anbari
- Chemical and Biomolecular Engineering Department, Lehigh University, Bethlehem, PA 18018, USA
| | - Antonio Tagua
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Carmen Gordillo-Vázquez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Jesús A Andrés-San Román
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Daniel Franco-Barranco
- Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain; Donostia International Physics Center (DIPC), San Sebastian, Spain
| | - Ana M Palacios
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Antonio Velasco
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain
| | - Carlos Capitán-Agudo
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain
| | - Clara Grima
- Departamento de Matemática Aplicada I, Universidad de Sevilla, Seville 41012, Spain
| | - Valentina Annese
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Ignacio Arganda-Carreras
- Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain; Donostia International Physics Center (DIPC), San Sebastian, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Rafael Robles
- Departamento de Matemática Aplicada I, Universidad de Sevilla, Seville 41012, Spain
| | - Alberto Márquez
- Departamento de Matemática Aplicada I, Universidad de Sevilla, Seville 41012, Spain
| | - Javier Buceta
- Institute for Integrative Systems Biology (I2SysBio), CSIC-UV, Paterna 46980, Spain.
| | - Luis M Escudero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain; Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.
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4
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Burgos-Panadero R, El Moukhtari SH, Noguera I, Rodríguez-Nogales C, Martín-Vañó S, Vicente-Munuera P, Cañete A, Navarro S, Blanco-Prieto MJ, Noguera R. Unraveling the extracellular matrix-tumor cell interactions to aid better targeted therapies for neuroblastoma. Int J Pharm 2021; 608:121058. [PMID: 34461172 DOI: 10.1016/j.ijpharm.2021.121058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/24/2021] [Accepted: 08/25/2021] [Indexed: 12/17/2022]
Abstract
Treatment in children with high-risk neuroblastoma remains largely unsuccessful due to the development of metastases and drug resistance. The biological complexity of these tumors and their microenvironment represent one of the many challenges to face. Matrix glycoproteins such as vitronectin act as bridge elements between extracellular matrix and tumor cells and can promote tumor cell spreading. In this study, we established through a clinical cohort and preclinical models that the interaction of vitronectin and its ligands, such as αv integrins, are related to the stiffness of the extracellular matrix in high-risk neuroblastoma. These marked alterations found in the matrix led us to specifically target tumor cells within these altered matrices by employing nanomedicine and combination therapy. Loading the conventional cytotoxic drug etoposide into nanoparticles significantly increased its efficacy in neuroblastoma cells. We noted high synergy between etoposide and cilengitide, a high-affinity cyclic pentapeptide αv integrin antagonist. The results of this study highlight the need to characterize cell-extracellular matrix interactions, to improve patient care in high-risk neuroblastoma.
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Affiliation(s)
- Rebeca Burgos-Panadero
- Department of Pathology, Medical School, University of Valencia - INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain; Low Prevalence Tumors, Centro de investigación biomédica en red de cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Souhaila H El Moukhtari
- Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain.
| | - Inmaculada Noguera
- Central Support Service for Experimental Research (SCSIE), University of Valencia, Burjassot, Valencia, Spain.
| | - Carlos Rodríguez-Nogales
- Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain.
| | - Susana Martín-Vañó
- Department of Pathology, Medical School, University of Valencia - INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain; Low Prevalence Tumors, Centro de investigación biomédica en red de cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Pablo Vicente-Munuera
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain.
| | - Adela Cañete
- Pediatric Oncology, La Fe Hospital, Av. Fernando Abril Martorell 106, 46026 Valencia, Spain.
| | - Samuel Navarro
- Department of Pathology, Medical School, University of Valencia - INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain; Low Prevalence Tumors, Centro de investigación biomédica en red de cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - María J Blanco-Prieto
- Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain.
| | - Rosa Noguera
- Department of Pathology, Medical School, University of Valencia - INCLIVA Biomedical Health Research Institute, 46010 Valencia, Spain; Low Prevalence Tumors, Centro de investigación biomédica en red de cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain.
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5
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Alvarez-Vergara MI, Rosales-Nieves AE, March-Diaz R, Rodriguez-Perinan G, Lara-Ureña N, Ortega-de San Luis C, Sanchez-Garcia MA, Martin-Bornez M, Gómez-Gálvez P, Vicente-Munuera P, Fernandez-Gomez B, Marchena MA, Bullones-Bolanos AS, Davila JC, Gonzalez-Martinez R, Trillo-Contreras JL, Sanchez-Hidalgo AC, Del Toro R, Scholl FG, Herrera E, Trepel M, Körbelin J, Escudero LM, Villadiego J, Echevarria M, de Castro F, Gutierrez A, Rabano A, Vitorica J, Pascual A. Non-productive angiogenesis disassembles Aß plaque-associated blood vessels. Nat Commun 2021; 12:3098. [PMID: 34035282 PMCID: PMC8149638 DOI: 10.1038/s41467-021-23337-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 04/20/2021] [Indexed: 01/05/2023] Open
Abstract
The human Alzheimer's disease (AD) brain accumulates angiogenic markers but paradoxically, the cerebral microvasculature is reduced around Aß plaques. Here we demonstrate that angiogenesis is started near Aß plaques in both AD mouse models and human AD samples. However, endothelial cells express the molecular signature of non-productive angiogenesis (NPA) and accumulate, around Aß plaques, a tip cell marker and IB4 reactive vascular anomalies with reduced NOTCH activity. Notably, NPA induction by endothelial loss of presenilin, whose mutations cause familial AD and which activity has been shown to decrease with age, produced a similar vascular phenotype in the absence of Aß pathology. We also show that Aß plaque-associated NPA locally disassembles blood vessels, leaving behind vascular scars, and that microglial phagocytosis contributes to the local loss of endothelial cells. These results define the role of NPA and microglia in local blood vessel disassembly and highlight the vascular component of presenilin loss of function in AD.
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Affiliation(s)
- Maria I Alvarez-Vergara
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Alicia E Rosales-Nieves
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Rosana March-Diaz
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Guiomar Rodriguez-Perinan
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Nieves Lara-Ureña
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Clara Ortega-de San Luis
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College of Dublin, D2, Dublin, Ireland
| | - Manuel A Sanchez-Garcia
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Centre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Miguel Martin-Bornez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Pedro Gómez-Gálvez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Biología Celular, Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Pablo Vicente-Munuera
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Biología Celular, Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | | | - Miguel A Marchena
- Grupo de Neurobiología del Desarrollo-GNDe, Instituto Cajal-CSIC, Madrid, Spain
- Departamento de Medicina, Facultad de Ciencias, Biomédicas y de la Salud, Universidad Europea de Madrid, Villaviciosa de Odón, Spain
| | - Andrea S Bullones-Bolanos
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
| | - Jose C Davila
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Department of Biologia Celular, Genetica y Fisiologia, Facultad de Ciencias, Instituto de Investigacion Biomedica de Malaga (IBIMA), Universidad de Malaga, Malaga, Spain
| | - Rocio Gonzalez-Martinez
- Instituto de Neurociencias de Alicante, Consejo Superior de Investigaciones Científicas-Universidad Miguel Hernández (CSIC-UMH), Alicante, Spain
| | - Jose L Trillo-Contreras
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Fisiología Médica y Biofisica, Universidad de Sevilla, Seville, Spain
| | - Ana C Sanchez-Hidalgo
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Fisiología Médica y Biofisica, Universidad de Sevilla, Seville, Spain
| | - Raquel Del Toro
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Fisiología Médica y Biofisica, Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain
| | - Francisco G Scholl
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Fisiología Médica y Biofisica, Universidad de Sevilla, Seville, Spain
| | - Eloisa Herrera
- Instituto de Neurociencias de Alicante, Consejo Superior de Investigaciones Científicas-Universidad Miguel Hernández (CSIC-UMH), Alicante, Spain
| | - Martin Trepel
- Augsburg Medical Center, Department of Hematology and Oncology, Augsburg, Germany
| | - Jakob Körbelin
- Section of Pneumology, Department of Oncology, Hematology and Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Luis M Escudero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Department of Biología Celular, Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Javier Villadiego
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Department of Fisiología Médica y Biofisica, Universidad de Sevilla, Seville, Spain
| | - Miriam Echevarria
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Department of Fisiología Médica y Biofisica, Universidad de Sevilla, Seville, Spain
| | - Fernando de Castro
- Grupo de Neurobiología del Desarrollo-GNDe, Instituto Cajal-CSIC, Madrid, Spain
| | - Antonia Gutierrez
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Department of Biologia Celular, Genetica y Fisiologia, Facultad de Ciencias, Instituto de Investigacion Biomedica de Malaga (IBIMA), Universidad de Malaga, Malaga, Spain
| | | | - Javier Vitorica
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Department of Bioquimica y Biologia Molecular, Facultad de Farmacia, Universidad de Sevilla, Seville, Spain
| | - Alberto Pascual
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Seville, Spain.
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6
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Gómez-Gálvez P, Vicente-Munuera P, Anbari S, Buceta J, Escudero LM. The complex three-dimensional organization of epithelial tissues. Development 2021; 148:148/1/dev195669. [PMID: 33408064 DOI: 10.1242/dev.195669] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Understanding the cellular organization of tissues is key to developmental biology. In order to deal with this complex problem, researchers have taken advantage of reductionist approaches to reveal fundamental morphogenetic mechanisms and quantitative laws. For epithelia, their two-dimensional representation as polygonal tessellations has proved successful for understanding tissue organization. Yet, epithelial tissues bend and fold to shape organs in three dimensions. In this context, epithelial cells are too often simplified as prismatic blocks with a limited plasticity. However, there is increasing evidence that a realistic approach, even from a reductionist perspective, must include apico-basal intercalations (i.e. scutoidal cell shapes) for explaining epithelial organization convincingly. Here, we present an historical perspective about the tissue organization problem. Specifically, we analyze past and recent breakthroughs, and discuss how and why simplified, but realistic, in silico models require scutoidal features to address key morphogenetic events.
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Affiliation(s)
- Pedro Gómez-Gálvez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
| | - Pablo Vicente-Munuera
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
| | - Samira Anbari
- Chemical and Biomolecular Engineering Department, Lehigh University, Bethlehem, PA 18018, USA
| | - Javier Buceta
- Institute for Integrative Systems Biology (I2SysBio), CSIC-UV, 46980 Paterna (Valencia), Spain
| | - Luis M Escudero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, 41013 Seville, Spain .,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
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Vicente-Munuera P, Gómez-Gálvez P, Tetley RJ, Forja C, Tagua A, Letrán M, Tozluoglu M, Mao Y, Escudero LM. EpiGraph: an open-source platform to quantify epithelial organization. Bioinformatics 2020; 36:1314-1316. [PMID: 31544932 PMCID: PMC7703762 DOI: 10.1093/bioinformatics/btz683] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 08/21/2019] [Accepted: 08/29/2019] [Indexed: 01/09/2023] Open
Abstract
Summary Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform Fiji. This makes EpiGraph very user friendly, with no programming skills required. Availability and implementation EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Pablo Vicente-Munuera
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid 28031, Spain
| | - Pedro Gómez-Gálvez
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid 28031, Spain
| | - Robert J Tetley
- MRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK
| | - Cristina Forja
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain
| | - Antonio Tagua
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid 28031, Spain
| | - Marta Letrán
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain
| | - Melda Tozluoglu
- MRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK
| | - Yanlan Mao
- MRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK.,College of Information and Control, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
| | - Luis M Escudero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and Departamento de Biología Celular, Universidad de Sevilla, Seville 41013, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid 28031, Spain
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8
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Vicente-Munuera P, Burgos-Panadero R, Noguera I, Navarro S, Noguera R, Escudero LM. The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer-aided detection. Int J Cancer 2019; 146:553-565. [PMID: 31173338 PMCID: PMC6899647 DOI: 10.1002/ijc.32495] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 04/30/2019] [Accepted: 05/27/2019] [Indexed: 12/13/2022]
Abstract
Tumors are complex networks of constantly interacting elements: tumor cells, stromal cells, immune and stem cells, blood/lympathic vessels, nerve fibers and extracellular matrix components. These elements can influence their microenvironment through mechanical and physical signals to promote tumor cell growth. To get a better understanding of tumor biology, cooperation between multidisciplinary fields is needed. Diverse mathematic computations and algorithms have been designed to find prognostic targets and enhance diagnostic assessment. In this work, we use computational digital tools to study the topology of vitronectin, a glycoprotein of the extracellular matrix. Vitronectin is linked to angiogenesis and migration, two processes closely related to tumor cell spread. Here, we investigate whether the distribution of this molecule in the tumor stroma may confer mechanical properties affecting neuroblastoma aggressiveness. Combining image analysis and graph theory, we analyze different topological features that capture the organizational cues of vitronectin in histopathological images taken from human samples. We find that the Euler number and the branching of territorial vitronectin, two topological features, could allow for a more precise pretreatment risk stratification to guide treatment strategies in neuroblastoma patients. A large amount of recently synthesized VN would create migration tracks, pinpointed by both topological features, for malignant neuroblasts, so that dramatic change in the extracellular matrix would increase tumor aggressiveness and worsen patient outcomes. What's new? The tumor microenvironment has a strong influence on cancer malignancy. Here, the authors investigate whether the organization of the extracellular matrix glycoprotein vitronectin in the tumor stroma may confer mechanical properties affecting neuroblastoma aggressiveness. Combining image analysis and graph theory, they identify two topological features of vitronectin that could potentially be used to improve patient pre‐treatment risk stratification. The data also point to the creation of vitronectin migration tracks for malignant neuroblasts, so that dramatic changes in the extracellular matrix would increase tumor stiffness and aggressiveness and worsen patient outcomes.
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Affiliation(s)
- Pablo Vicente-Munuera
- Departamento de Biología Celular, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Roció/CSIC/Universidad de Sevilla, Seville, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Rebeca Burgos-Panadero
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain.,Biomedical Network Research Centre on Oncology (CIBERONC), Madrid, Spain
| | - Inmaculada Noguera
- Central Support Service for Experimental Research (SCSIE), University of Valencia, Valencia, Spain
| | - Samuel Navarro
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain.,Biomedical Network Research Centre on Oncology (CIBERONC), Madrid, Spain
| | - Rosa Noguera
- Department of Pathology, Medical School, University of Valencia/INCLIVA, Valencia, Spain.,Biomedical Network Research Centre on Oncology (CIBERONC), Madrid, Spain
| | - Luis M Escudero
- Departamento de Biología Celular, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Roció/CSIC/Universidad de Sevilla, Seville, Spain.,Biomedical Network Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
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Buceta J, Pedro GG, Vicente-Munuera P, Escudero LM. Scutoids: Understanding the 3D Packing of Curved Epithelia. Biophys J 2019. [DOI: 10.1016/j.bpj.2018.11.683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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10
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Gómez-Gálvez P, Vicente-Munuera P, Tagua A, Forja C, Castro AM, Letrán M, Valencia-Expósito A, Grima C, Bermúdez-Gallardo M, Serrano-Pérez-Higueras Ó, Cavodeassi F, Sotillos S, Martín-Bermudo MD, Márquez A, Buceta J, Escudero LM. Author Correction: Scutoids are a geometrical solution to three-dimensional packing of epithelia. Nat Commun 2018; 9:4210. [PMID: 30297704 PMCID: PMC6175858 DOI: 10.1038/s41467-018-06671-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Affiliation(s)
- Pedro Gómez-Gálvez
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Pablo Vicente-Munuera
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Antonio Tagua
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Cristina Forja
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Ana M Castro
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Marta Letrán
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | | | - Clara Grima
- Departamento de Matemática Aplicada I, Universidad de Sevilla, 41012, Seville, Spain
| | - Marina Bermúdez-Gallardo
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Óscar Serrano-Pérez-Higueras
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Florencia Cavodeassi
- Centro de Biología Molecular Severo Ochoa and CIBER de Enfermedades Raras, C/ Nicolás Cabrera 1, 28049, Madrid, Spain.,St. George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - Sol Sotillos
- CABD, CSIC/JA/UPO, Campus Universidad Pablo de Olavide, 41013, Seville, Spain
| | | | - Alberto Márquez
- Departamento de Matemática Aplicada I, Universidad de Sevilla, 41012, Seville, Spain
| | - Javier Buceta
- Bioengineering Department, Lehigh University, Bethlehem, PA, 18018, USA. .,Chemical and Biomolecular Engineering Department, Lehigh University, Bethlehem, PA, 18018, USA.
| | - Luis M Escudero
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain.
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11
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Gómez-Gálvez P, Vicente-Munuera P, Tagua A, Forja C, Castro AM, Letrán M, Valencia-Expósito A, Grima C, Bermúdez-Gallardo M, Serrano-Pérez-Higueras Ó, Cavodeassi F, Sotillos S, Martín-Bermudo MD, Márquez A, Buceta J, Escudero LM. Scutoids are a geometrical solution to three-dimensional packing of epithelia. Nat Commun 2018; 9:2960. [PMID: 30054479 PMCID: PMC6063940 DOI: 10.1038/s41467-018-05376-1] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 06/11/2018] [Indexed: 02/08/2023] Open
Abstract
As animals develop, tissue bending contributes to shape the organs into complex three-dimensional structures. However, the architecture and packing of curved epithelia remains largely unknown. Here we show by means of mathematical modelling that cells in bent epithelia can undergo intercalations along the apico-basal axis. This phenomenon forces cells to have different neighbours in their basal and apical surfaces. As a consequence, epithelial cells adopt a novel shape that we term "scutoid". The detailed analysis of diverse tissues confirms that generation of apico-basal intercalations between cells is a common feature during morphogenesis. Using biophysical arguments, we propose that scutoids make possible the minimization of the tissue energy and stabilize three-dimensional packing. Hence, we conclude that scutoids are one of nature's solutions to achieve epithelial bending. Our findings pave the way to understand the three-dimensional organization of epithelial organs.
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Affiliation(s)
- Pedro Gómez-Gálvez
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Pablo Vicente-Munuera
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Antonio Tagua
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Cristina Forja
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Ana M Castro
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Marta Letrán
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | | | - Clara Grima
- Departamento de Matemática Aplicada I, Universidad de Sevilla, 41012, Seville, Spain
| | - Marina Bermúdez-Gallardo
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Óscar Serrano-Pérez-Higueras
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain
| | - Florencia Cavodeassi
- Centro de Biología Molecular Severo Ochoa and CIBER de Enfermedades Raras. C/ Nicolás Cabrera 1, 28049, Madrid, Spain
- St. George's, University of London, Cranmer Terrace, SW17 0RE, London, UK
| | - Sol Sotillos
- CABD, CSIC/JA/UPO, Campus Universidad Pablo de Olavide, 41013, Seville, Spain
| | | | - Alberto Márquez
- Departamento de Matemática Aplicada I, Universidad de Sevilla, 41012, Seville, Spain
| | - Javier Buceta
- Bioengineering Department, Lehigh University, Bethlehem, PA, 18018, USA.
- Chemical and Biomolecular Engineering Department, Lehigh University, Bethlehem, PA, 18018, USA.
| | - Luis M Escudero
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013, Seville, Spain.
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