Deep Learning for Cell Migration in Nonwoven Materials and Evaluating Gene Transfer Effects following AAV6-ND4 Transduction

Author:

Larin Ilya I.1ORCID,Shatalova Rimma O.1,Laktyushkin Victor S.2,Rybtsov Stanislav A.2ORCID,Lapshin Evgeniy V.1ORCID,Shevyrev Daniil V.2ORCID,Karabelsky Alexander V.1ORCID,Moskalets Alexander P.3,Klinov Dmitry V.34,Ivanov Dimitry A.45ORCID

Affiliation:

1. Center for Translational Medicine, Sirius University of Science and Technology, Krasnodar Territory Sirius, 1 Olympic Ave., Sirius 354340, Russia

2. Resource Center for Cell Technology and Immunology, Sirius University of Science and Technology, Krasnodar Territory Sirius, 1 Olympic Ave., Sirius 354340, Russia

3. Federal Research and Clinical Center of Physical-Chemical Medicine, Federal Medical Biological Agency, Moscow 119435, Russia

4. Center for Genetics and Life Sciences, Sirius University of Science and Technology, Krasnodar Territory Sirius, 1 Olympic Ave., Sirius 354340, Russia

5. Institut de Sciences des Matériaux de Mulhouse—IS2M, CNRS UMR 7361, F-68057 Mulhouse, France

Abstract

Studying cell settlement in the three-dimensional structure of synthetic biomaterials over time is of great interest in research and clinical translation for the development of artificial tissues and organs. Tracking cells as physical objects improves our understanding of the processes of migration, homing, and cell division during colonisation of the artificial environment. In this study, the 3D environment had a direct effect on the behaviour of biological objects. Recently, deep learning-based algorithms have shown significant benefits for cell segmentation tasks and, furthermore, for biomaterial design optimisation. We analysed the primary LHON fibroblasts in an artificial 3D environment after adeno-associated virus transduction. Application of these tools to model cell homing in biomaterials and to monitor cell morphology, migration and proliferation indirectly demonstrated restoration of the normal cell phenotype after gene manipulation by AAV transduction. Following the 3Rs principles of reducing the use of living organisms in research, modeling the formation of tissues and organs by reconstructing the behaviour of different cell types on artificial materials facilitates drug testing, the study of inherited and inflammatory diseases, and wound healing. These studies on the composition and algorithms for creating biomaterials to model the formation of cell layers were inspired by the principles of biomimicry.

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

MDPI AG

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