1. Ligand Nanocluster Array Enables Artificial-Intelligence-Based Detection of Hidden Features in T-Cell Architecture
- Author
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Frédéric Bedu, Kheya Sengupta, Aya Nassereddine, Igor Ozerov, Ahmed Abdelrahman, Laurent Limozin, Emmanuelle Benard, Cinam, Hal, APPEL À PROJETS GÉNÉRIQUE 2018 - Rôle du micro-environnement mécanique dans la formation précoce des jonctions cadhérines - - microCJ2018 - ANR-18-CE92-0033 - AAPG2018 - VALID, Smart interrogation of the immune synapse by nano-patterned and soft 3D substrates - SYNINTER - - EC:FP7:ERC2013-01-01 - 2017-12-31 - 307104 - VALID, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Adhésion et Inflammation (LAI), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), ANR-18-CE92-0033,microCJ,Rôle du micro-environnement mécanique dans la formation précoce des jonctions cadhérines(2018), European Project: 307104,EC:FP7:ERC,ERC-2012-StG_20111012,SYNINTER(2013), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), and Assistance Publique - Hôpitaux de Marseille (APHM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Computer science ,T-Lymphocytes ,[SDV]Life Sciences [q-bio] ,[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] ,T cell ,Intelligence ,Bioengineering ,02 engineering and technology ,Protein patterning ,Ligands ,ligand nanocluster array ,nanopatterning ,electron beam lithography ,Artificial Intelligence ,medicine ,Humans ,T-cell receptor ,General Materials Science ,[PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] ,Ligand ,Periodic stimulus ,Mechanical Engineering ,General Chemistry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,[SDV] Life Sciences [q-bio] ,medicine.anatomical_structure ,Printing ,0210 nano-technology ,Biological system ,CNN ,Electron-beam lithography - Abstract
International audience; Protein patterning has emerged as a powerful means to interrogate adhering cells. However, the tools to apply a sub-micrometer periodic stimulus and the analysis of the response are still being standardized. We propose a technique combining electron beam lithography and surface functionalization to fabricate nanopatterns compatible with advanced imaging. The repetitive pattern enables a deep-learning algorithm to reveal that T cells organize their membrane and actin network differently depending upon whether the ligands are clustered or homogeneously distributed, an effect invisible to the unassisted human eye even after extensive image analysis. This fabrication and analysis toolbox should be useful, both together and separately, for exploring general correlation between a spatially structured subcellular stimulation and a subtle cellular response.
- Published
- 2021