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Gardeta SR, García-Cuesta EM, D’Agostino G, Soler Palacios B, Quijada-Freire A, Lucas P, Bernardino de la Serna J, Gonzalez-Riano C, Barbas C, Rodríguez-Frade JM, Mellado M. Sphingomyelin Depletion Inhibits CXCR4 Dynamics and CXCL12-Mediated Directed Cell Migration in Human T Cells. Front Immunol 2022; 13:925559. [PMID: 35903108 PMCID: PMC9315926 DOI: 10.3389/fimmu.2022.925559] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/17/2022] [Indexed: 11/29/2022] Open
Abstract
Sphingolipids, ceramides and cholesterol are integral components of cellular membranes, and they also play important roles in signal transduction by regulating the dynamics of membrane receptors through their effects on membrane fluidity. Here, we combined biochemical and functional assays with single-particle tracking analysis of diffusion in the plasma membrane to demonstrate that the local lipid environment regulates CXCR4 organization and function and modulates chemokine-triggered directed cell migration. Prolonged treatment of T cells with bacterial sphingomyelinase promoted the complete and sustained breakdown of sphingomyelins and the accumulation of the corresponding ceramides, which altered both membrane fluidity and CXCR4 nanoclustering and dynamics. Under these conditions CXCR4 retained some CXCL12-mediated signaling activity but failed to promote efficient directed cell migration. Our data underscore a critical role for the local lipid composition at the cell membrane in regulating the lateral mobility of chemokine receptors, and their ability to dynamically increase receptor density at the leading edge to promote efficient cell migration.
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Affiliation(s)
- Sofía R. Gardeta
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Eva M. García-Cuesta
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Gianluca D’Agostino
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Blanca Soler Palacios
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Adriana Quijada-Freire
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Pilar Lucas
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Jorge Bernardino de la Serna
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- Central Laser Facility, Rutherford Appleton Laboratory, Medical Research Council-Research Complex at Harwell, Science and Technology Facilities Council, Harwell, United Kingdom
- National Institute for Health and Care Research Imperial Biomedical Research Center, London, United Kingdom
| | - Carolina Gonzalez-Riano
- Metabolomic and Bioanalysis Center (CEMBIO), Pharmacy Faculty, Centro de Estudios Universitarios Universities, Madrid, Spain
| | - Coral Barbas
- Metabolomic and Bioanalysis Center (CEMBIO), Pharmacy Faculty, Centro de Estudios Universitarios Universities, Madrid, Spain
| | - José Miguel Rodríguez-Frade
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Mario Mellado
- Chemokine Signaling Group, Department of Immunology and Oncology, National Center for Biotechnology/Consejo Superior de Investigaciones Científicas, Madrid, Spain
- *Correspondence: Mario Mellado,
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Leake MC. Correlative approaches in single-molecule biophysics: A review of the progress in methods and applications. Methods 2021; 193:1-4. [PMID: 34171486 DOI: 10.1016/j.ymeth.2021.06.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Here, we discuss a collection of cutting-edge techniques and applications in use today by some of the leading experts in the field of correlative approaches in single-molecule biophysics. A key difference in emphasis, compared with traditional single-molecule biophysics approaches detailed previously, is on the emphasis of the development and use of complex methods which explicitly combine multiple approaches to increase biological insights at the single-molecule level. These so-called correlative single-molecule biophysics methods rely on multiple, orthogonal tools and analysis, as opposed to any one single driving technique. Importantly, they span both in vivo and in vitro biological systems as well as the interfaces between theory and experiment in often highly integrated ways, very different to earlier traditional non-integrative approaches. The first applications of correlative single-molecule methods involved adaption of a range of different experimental technologies to the same biological sample whose measurements were synchronised. However, now we find a greater flora of integrated methods emerging that include approaches applied to different samples at different times and yet still permit useful molecular-scale correlations to be performed. The resultant findings often enable far greater precision of length and time scales of measurements, and a more nuanced understanding of the interplay between different processes in the same cell. Many new correlative single-molecule biophysics techniques also include more complex, physiologically relevant approaches as well as an increasing number that combine of approaches advanced computational methods and mathematical analysis with experimental tools. Here, we review the motivation behind the development of correlative single-molecule microscopy methods, its history and recent progress in the field.
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Affiliation(s)
- Mark C Leake
- Department of Physics, University of York, UK; Department of Biology, University of York, UK
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