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Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments

Dorsa Mohammadrezaei, Nafiseh Moghimi, Shadi Vandvajdi, Gibin Powathil Orcid Logo, Sara Hamis, Mohammad Kohandel

Scientific Reports, Volume: 13, Issue: 1

Swansea University Author: Gibin Powathil Orcid Logo

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DOI (Published version): 10.1038/s41598-023-28286-9

Abstract

A key feature distinguishing 3D bioprinting from other 3D cell culture techniques is its precise control over created structures. This property allows for the high-resolution fabrication of biomimetic structures with controlled structural and mechanical properties such as porosity, permeability, and...

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Published in: Scientific Reports
ISSN: 2045-2322
Published: Springer Science and Business Media LLC 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62393
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spelling 2023-02-16T09:43:14.9923253 v2 62393 2023-01-22 Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments f23646a94239f673e2a43ebe7397aabd 0000-0002-8372-7349 Gibin Powathil Gibin Powathil true false 2023-01-22 SMA A key feature distinguishing 3D bioprinting from other 3D cell culture techniques is its precise control over created structures. This property allows for the high-resolution fabrication of biomimetic structures with controlled structural and mechanical properties such as porosity, permeability, and stiffness. However, analyzing post-printing cellular dynamics and optimizing their functions within the 3D fabricated environment is only possible through trial and error and replicating several experiments. This issue motivated the development of a cellular automata model for the first time to simulate post-printing cell behaviour within the 3D bioprinted construct. To improve our model, we bioprinted a 3D construct using MDA-MB-231 cell-laden hydrogel and evaluated cellular functions, including viability and proliferation in 11 days. The results showed that our model successfully simulated the 3D bioprinted structure and captured in-vitro observations. We demonstrated that in-silico model could predict and elucidate post-printing biological functions for different initial cell numbers in bioink and different bioink formulations with gelatine and alginate, without replicating several costly and time-consuming in-vitro measurements. We believe such a computational framework will substantially impact 3D bioprinting's future application. We hope this study inspires researchers to further realize how an in-silico model might be utilized to advance in-vitro 3D bioprinting research. Journal Article Scientific Reports 13 1 Springer Science and Business Media LLC 2045-2322 21 1 2023 2023-01-21 10.1038/s41598-023-28286-9 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University Another institution paid the OA fee The financial support from the Canadian Institutes of Health Research (CIHR) (DM, MK) is gratefully acknowledged. 2023-02-16T09:43:14.9923253 2023-01-22T21:29:36.6189820 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Dorsa Mohammadrezaei 1 Nafiseh Moghimi 2 Shadi Vandvajdi 3 Gibin Powathil 0000-0002-8372-7349 4 Sara Hamis 5 Mohammad Kohandel 6 62393__26456__91fc4e9226f44511994d09214c9e335a.pdf 62393.pdf 2023-02-03T11:08:23.1163138 Output 2432182 application/pdf Version of Record true © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/
title Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
spellingShingle Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
Gibin Powathil
title_short Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
title_full Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
title_fullStr Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
title_full_unstemmed Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
title_sort Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
author_id_str_mv f23646a94239f673e2a43ebe7397aabd
author_id_fullname_str_mv f23646a94239f673e2a43ebe7397aabd_***_Gibin Powathil
author Gibin Powathil
author2 Dorsa Mohammadrezaei
Nafiseh Moghimi
Shadi Vandvajdi
Gibin Powathil
Sara Hamis
Mohammad Kohandel
format Journal article
container_title Scientific Reports
container_volume 13
container_issue 1
publishDate 2023
institution Swansea University
issn 2045-2322
doi_str_mv 10.1038/s41598-023-28286-9
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
document_store_str 1
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description A key feature distinguishing 3D bioprinting from other 3D cell culture techniques is its precise control over created structures. This property allows for the high-resolution fabrication of biomimetic structures with controlled structural and mechanical properties such as porosity, permeability, and stiffness. However, analyzing post-printing cellular dynamics and optimizing their functions within the 3D fabricated environment is only possible through trial and error and replicating several experiments. This issue motivated the development of a cellular automata model for the first time to simulate post-printing cell behaviour within the 3D bioprinted construct. To improve our model, we bioprinted a 3D construct using MDA-MB-231 cell-laden hydrogel and evaluated cellular functions, including viability and proliferation in 11 days. The results showed that our model successfully simulated the 3D bioprinted structure and captured in-vitro observations. We demonstrated that in-silico model could predict and elucidate post-printing biological functions for different initial cell numbers in bioink and different bioink formulations with gelatine and alginate, without replicating several costly and time-consuming in-vitro measurements. We believe such a computational framework will substantially impact 3D bioprinting's future application. We hope this study inspires researchers to further realize how an in-silico model might be utilized to advance in-vitro 3D bioprinting research.
published_date 2023-01-21T04:21:58Z
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