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Light-sheet scattering microscopy to visualize long-term interactions between cells and extracellular matrix

  • Visualizing interactions between cells and the extracellular matrix (ECM) mesh is important to understand cell behavior and regulatory mechanisms by the extracellular environment. However, long term visualization of three-dimensional (3D) matrix structures remains challenging mainly due to photobleaching or blind spots perpendicular to the imaging plane. Here, we combine label-free light-sheet scattering microcopy (LSSM) and fluorescence microscopy to solve these problems. We verified that LSSM can reliably visualize structures of collagen matrices from different origin including bovine, human and rat tail. The quality and intensity of collagen structure images acquired by LSSM did not decline with time. LSSM offers abundant wavelength choice to visualize matrix structures, maximizing combination possibilities with fluorescently-labelled cells, allowing visualizing of long-term ECM-cell interactions in 3D. Interestingly, we observed ultrathin thread-like structures between cells and matrix using LSSM, which were not observed by normal fluorescence microscopy. Transient local alignment of matrix by cell-applied forces can be observed. In summary, LSSM provides a powerful and robust approach to investigate the complex interplay between cells and ECM.Competing Interest StatementThe authors have declared no competing interest.

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Metadaten
Document Type:Preprint
Author:Xiangda Zhou, Renping ZhaoORCiD, Archana K. YanamandraORCiD, Markus HothORCiD, Bin QuORCiD
URN:urn:nbn:de:bsz:291:415-7100
DOI:https://doi.org/10.1101/2021.10.22.465506
Parent Title (English):chemRxiv
First Page:1
Last Page:19
Language:English
Date of first Publication:2021/12/08
Release Date:2023/06/20
Tag:biophysics
Funding Information:Deutsche Forschungsgemeinschaft (SFB 1027 Project A2 to BQ; GZ: INST 256/419-1 FUGG to MH); Bundesministerium für Bildung und Forschung (031L0133 to MH)
Scientific Units:Fellow
DDC classes:500 Naturwissenschaften und Mathematik / 570 Biowissenschaften, Biologie
Open Access:Open Access
Signature:INM 2021/141_preprint
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International