Cell, Gene and Regenerative Therapy Processes

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Pharmaceutical Processes".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 7768

Special Issue Editors


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Guest Editor
Department of Biochemical Engineering, University College London, London WC1E 6BT, UK
Interests: cell and gene therapy; bioprocess engineering; stem cells; regenerative medicine

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Guest Editor
1. Institute of Chemical Engineering Sciences, Foundation for Research and Technology-Hellas (FORTH), Stadiou Street, 26504 Patras, Greece
2. Prometheus division of skeletal Tissue Engineering; Skeletal Biology and Engineering Centre; Department of Development and Regeneration; KU Leuven; Leuven; 3000; Belgium
Interests: bioreactors for cell therapy and regenerative medicine; biofabrication; automation; organoid technologies; tissue engineering for skeletal systems

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Guest Editor
Automation in Life Sciences, Department for Production Metrology, Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany
Interests: laboratory automation; bioprocess engineering; advanced therapies; stem cell manufacture

Special Issue Information

Dear Colleagues, 

Advanced cell, gene, and regenerative therapies are transforming healthcare, providing new therapeutic modalities which target a previously unmet clinical need. With the emergence of these advanced therapies, the opportunity to develop personalized medicines tailored to each patient has become a reality. Moreover, important discoveries and developments in molecular and cell biology such as gene-editing techniques allow for these highly efficacious therapies to be developed for a wider patient population from a single universal donor source. 

With a growing number of gene, gene-modified, stem, and regenerative therapies gaining global regulatory approval and entering routine clinical practice, the advanced therapy sector is undoubtedly a growth industry. There are approximately 1000 active clinical trials involving the use of cells, gene-edited cells, or gene correction as a therapeutic modality, with more than 100 of these at Phase III, demonstrating the significant clinical activity in the field. This is matched by substantial industry activity in recent months, with notable mergers and acquisitions. However, the scalable and consistent production of advanced therapies faces a number of important challenges. Today’s manufacturing processes for these therapies are inherently inefficient, difficult to scale, are resource- and labor-intensive, require skilled personnel, and necessitate significant human intervention which can result in errors, contamination, and final product variation. 

This Special Issue on “Cell, Gene and Regenerative Therapy Processes” is devoted to showcasing the recent developments in advanced therapy processes, including new strategies, manufacturing technologies, analytical techniques, data processing methods, and the integration of digital bioprocessing approaches. A wide range of therapeutic modalities as well as cellular and gene delivery platforms will be covered, including gene-modified cells, stem cells (pluripotent, adult, and progenitor cells), viral vectors, extracellular vesicles, and acellular modalities. Examples of relevant topics include: 

  • Upstream and/or downstream process development for advanced therapies;
  • Expansion technologies or bioreactors for cell, virus, or extracellular vesicle production;
  • Imaging or measurement tools for improved process analytics;
  • Novel manufacturing technologies for advanced therapy production;
  • Automation approaches for cell, gene, and regenerative therapy processes;
  • Strategies to minimize process and product variation;
  • Development of digital bioprocessing approaches for advanced therapies;
  • Process monitoring and control strategies for improved production;
  • Process analytical technologies and process intensification of advanced therapies;
  • Decisional tools, process modelling, and cost-of-goods development to improve advanced therapy processing. 

Submissions on these and other topics related to the theme of this Special Issue are welcomed from researchers in both academia and industry. 

Dr. Qasim Rafiq
Dr. Ioannis Papantoniou
Ms. Jelena Ochs
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advanced therapies
  • cell therapy
  • gene therapy
  • bioprocessing
  • bioreactors
  • automation
  • regenerative therapy
  • viral vector
  • stem cell

Published Papers (2 papers)

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Research

12 pages, 1401 KiB  
Article
Automating Laboratory Processes by Connecting Biotech and Robotic Devices—An Overview of the Current Challenges, Existing Solutions and Ongoing Developments
by Ferdinand Biermann, Julius Mathews, Bastian Nießing, Niels König and Robert H. Schmitt
Processes 2021, 9(6), 966; https://doi.org/10.3390/pr9060966 - 29 May 2021
Cited by 12 | Viewed by 3752
Abstract
The constantly growing interest and range of applications of advanced cell, gene and regenerative therapies raise the need for efficient production of biological material and novel treatment technologies. Many of the production and manipulation processes of such materials are still manual and, therefore, [...] Read more.
The constantly growing interest and range of applications of advanced cell, gene and regenerative therapies raise the need for efficient production of biological material and novel treatment technologies. Many of the production and manipulation processes of such materials are still manual and, therefore, need to be transferred to a fully automated execution. Developers of such systems face several challenges, one of which is mechanical and communication interfaces in biotechnological devices. In the present state, many devices are still designed for manual use and rarely provide a connection to external software for receiving commands and sending data. However, a trend towards automation on the device market is clearly visible, and the communication protocol, Open Platform Communications Data Access (OPC DA), seems to become established as a standard in biotech devices. A rising number of vendors offer software for device control and automated processing, some of which even allow the integration of devices from multiple manufacturers. The high, application-specific need in functionalities, flexibility and adaptivity makes it difficult to find the best solution and, in many cases, leads to the creation of new custom-designed software. This report shall give an overview of existing technologies, devices and software for laboratory automation of biotechnological processes. Furthermore, it presents an outlook for possible future developments and standardizations. Full article
(This article belongs to the Special Issue Cell, Gene and Regenerative Therapy Processes)
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19 pages, 3686 KiB  
Article
Fully Automated Cultivation of Adipose-Derived Stem Cells in the StemCellDiscovery—A Robotic Laboratory for Small-Scale, High-Throughput Cell Production Including Deep Learning-Based Confluence Estimation
by Jelena Ochs, Ferdinand Biermann, Tobias Piotrowski, Frederik Erkens, Bastian Nießing, Laura Herbst, Niels König and Robert H. Schmitt
Processes 2021, 9(4), 575; https://doi.org/10.3390/pr9040575 - 25 Mar 2021
Cited by 12 | Viewed by 3198
Abstract
Laboratory automation is a key driver in biotechnology and an enabler for powerful new technologies and applications. In particular, in the field of personalized therapies, automation in research and production is a prerequisite for achieving cost efficiency and broad availability of tailored treatments. [...] Read more.
Laboratory automation is a key driver in biotechnology and an enabler for powerful new technologies and applications. In particular, in the field of personalized therapies, automation in research and production is a prerequisite for achieving cost efficiency and broad availability of tailored treatments. For this reason, we present the StemCellDiscovery, a fully automated robotic laboratory for the cultivation of human mesenchymal stem cells (hMSCs) in small scale and in parallel. While the system can handle different kinds of adherent cells, here, we focus on the cultivation of adipose-derived hMSCs. The StemCellDiscovery provides an in-line visual quality control for automated confluence estimation, which is realized by combining high-speed microscopy with deep learning-based image processing. We demonstrate the feasibility of the algorithm to detect hMSCs in culture at different densities and calculate confluences based on the resulting image. Furthermore, we show that the StemCellDiscovery is capable of expanding adipose-derived hMSCs in a fully automated manner using the confluence estimation algorithm. In order to estimate the system capacity under high-throughput conditions, we modeled the production environment in a simulation software. The simulations of the production process indicate that the robotic laboratory is capable of handling more than 95 cell culture plates per day. Full article
(This article belongs to the Special Issue Cell, Gene and Regenerative Therapy Processes)
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