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Needle to needle robot‐assisted manufacture of cell therapy products

Authors :
Jelena Ochs
Mariana P. Hanga
Georgina Shaw
Niamh Duffy
Michael Kulik
Nokilaj Tissin
Daniel Reibert
Ferdinand Biermann
Panagiota Moutsatsou
Shibani Ratnayake
Alvin Nienow
Niels Koenig
Robert Schmitt
Qasim Rafiq
Christopher J. Hewitt
Frank Barry
J. Mary Murphy
Source :
Bioengineering & Translational Medicine, Vol 7, Iss 3, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Abstract Advanced therapeutic medicinal products (ATMPs) have emerged as novel therapies for untreatable diseases, generating the need for large volumes of high‐quality, clinically‐compliant GMP cells to replace costly, high‐risk and limited scale manual expansion processes. We present the design of a fully automated, robot‐assisted platform incorporating the use of multiliter stirred tank bioreactors for scalable production of adherent human stem cells. The design addresses a needle‐to‐needle closed process incorporating automated bone marrow collection, cell isolation, expansion, and collection into cryovials for patient delivery. AUTOSTEM, a modular, adaptable, fully closed system ensures no direct operator interaction with biological material; all commands are performed through a graphic interface. Seeding of source material, process monitoring, feeding, sampling, harvesting and cryopreservation are automated within the closed platform, comprising two clean room levels enabling both open and closed processes. A bioprocess based on human MSCs expanded on microcarriers was used for proof of concept. Utilizing equivalent culture parameters, the AUTOSTEM robot‐assisted platform successfully performed cell expansion at the liter scale, generating results comparable to manual production, while maintaining cell quality postprocessing.

Details

Language :
English
ISSN :
23806761
Volume :
7
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Bioengineering & Translational Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.8d664c132f564d2da30264fa84d60be3
Document Type :
article
Full Text :
https://doi.org/10.1002/btm2.10387