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Salvador WOS, Ribeiro IAB, Nogueira DES, Ferreira FC, Cabral JMS, Rodrigues CAV. Bioprocess Economic Modeling: Decision Support Tools for the Development of Stem Cell Therapy Products. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 9:bioengineering9120791. [PMID: 36550997 PMCID: PMC9774475 DOI: 10.3390/bioengineering9120791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022]
Abstract
Over recent years, the field of cell and gene therapy has witnessed rapid growth due to the demonstrated benefits of using living cells as therapeutic agents in a broad range of clinical studies and trials. Bioprocess economic models (BEMs) are fundamental tools for guiding decision-making in bioprocess design, being capable of supporting process optimization and helping to reduce production costs. These tools are particularly important when it comes to guiding manufacturing decisions and increasing the likelihood of market acceptance of cell-based therapies, which are often cost-prohibitive because of high resource and quality control costs. Not only this, but the inherent biological variability of their underlying bioprocesses makes them particularly susceptible to unforeseen costs arising from failed or delayed production batches. The present work reviews important concepts concerning the development of bioprocesses for stem cell therapy products and highlights the valuable role which BEMs can play in this endeavor. Additionally, some theoretical concepts relevant to the building and structuring of BEMs are explored. Finally, a comprehensive review of the existent BEMs so far reported in the scientific literature for stem cell-related bioprocesses is provided to showcase their potential usefulness.
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Affiliation(s)
- William O. S. Salvador
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Inês A. B. Ribeiro
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Diogo E. S. Nogueira
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Frederico C. Ferreira
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Joaquim M. S. Cabral
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Carlos A. V. Rodrigues
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Correspondence:
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Cancer Stem Cell Markers for Urinary Carcinoma. Stem Cells Int 2022; 2022:3611677. [PMID: 35342431 PMCID: PMC8941535 DOI: 10.1155/2022/3611677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 03/04/2022] [Accepted: 03/05/2022] [Indexed: 11/18/2022] Open
Abstract
Cancer stem cell (CSC) refers to cancer cells with stem cell properties, that is, they have the ability of “self-renewal” and “differentiation.” Cancer stem cells exist in cancer cells and are the “culprit” of cancer recurrence and metastasis. It is difficult to be found because of its small amount, and it is difficult for anticancer drugs to produce effects on it. At present, the isolation and identification of cancer stem cells from many solid tumors are still quite difficult, mainly due to the lack of specific molecular markers of cancer stem cells. In this review, cancer stem cell surface markers and functional markers in urinary system were summarized. These markers can provide molecular targets for cancer therapy.
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Zhong C, Liu M, Pan X, Zhu H. Tumorigenicity Risk of iPSCs in vivo: Nip it in the Bud. PRECISION CLINICAL MEDICINE 2022; 5:pbac004. [PMID: 35692443 PMCID: PMC9026204 DOI: 10.1093/pcmedi/pbac004] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/18/2022] [Accepted: 01/23/2022] [Indexed: 11/17/2022] Open
Abstract
In 2006, Takahashi and Yamanaka first created induced pluripotent stem cells from mouse fibroblasts via the retroviral introduction of genes encoding the transcription factors Oct3/4, Sox2, Klf44, and c-Myc. Since then, the future clinical application of somatic cell reprogramming technology has become an attractive research topic in the field of regenerative medicine. Of note, considerable interest has been placed in circumventing ethical issues linked to embryonic stem cell research. However, tumorigenicity, immunogenicity, and heterogeneity may hamper attempts to deploy this technology therapeutically. This review highlights the progress aimed at reducing induced pluripotent stem cells tumorigenicity risk and how to assess the safety of induced pluripotent stem cells cell therapy products.
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Affiliation(s)
- Chaoliang Zhong
- Department of Cell Biology, Naval Medical University, Shanghai, China
| | - Miao Liu
- Department of Cell Biology, Naval Medical University, Shanghai, China
| | - Xinghua Pan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, Guangdong, China
- Shenzhen Bay Laboratory, Shenzhen 518032, Guangdong, China
| | - Haiying Zhu
- Department of Cell Biology, Naval Medical University, Shanghai, China
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Abstract
Magnetic cell separation has become a key methodology for the isolation of target cell populations from biological suspensions, covering a wide spectrum of applications from diagnosis and therapy in biomedicine to environmental applications or fundamental research in biology. There now exists a great variety of commercially available separation instruments and reagents, which has permitted rapid dissemination of the technology. However, there is still an increasing demand for new tools and protocols which provide improved selectivity, yield and sensitivity of the separation process while reducing cost and providing a faster response. This review aims to introduce basic principles of magnetic cell separation for the neophyte, while giving an overview of recent research in the field, from the development of new cell labeling strategies to the design of integrated microfluidic cell sorters and of point-of-care platforms combining cell selection, capture, and downstream detection. Finally, we focus on clinical, industrial and environmental applications where magnetic cell separation strategies are amongst the most promising techniques to address the challenges of isolating rare cells.
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Retinal Organoid Technology: Where Are We Now? Int J Mol Sci 2021; 22:ijms221910244. [PMID: 34638582 PMCID: PMC8549701 DOI: 10.3390/ijms221910244] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 12/25/2022] Open
Abstract
It is difficult to regenerate mammalian retinal cells once the adult retina is damaged, and current clinical approaches to retinal damages are very limited. The introduction of the retinal organoid technique empowers researchers to study the molecular mechanisms controlling retinal development, explore the pathogenesis of retinal diseases, develop novel treatment options, and pursue cell/tissue transplantation under a certain genetic background. Here, we revisit the historical background of retinal organoid technology, categorize current methods of organoid induction, and outline the obstacles and potential solutions to next-generation retinal organoids. Meanwhile, we recapitulate recent research progress in cell/tissue transplantation to treat retinal diseases, and discuss the pros and cons of transplanting single-cell suspension versus retinal organoid sheet for cell therapies.
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Sart S, Liu C, Zeng EZ, Xu C, Li Y. Downstream bioprocessing of human pluripotent stem cell‐derived therapeutics. Eng Life Sci 2021; 22:667-680. [PMID: 36348655 PMCID: PMC9635003 DOI: 10.1002/elsc.202100042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/08/2021] [Accepted: 08/16/2021] [Indexed: 11/30/2022] Open
Abstract
With the advancement in lineage‐specific differentiation from human pluripotent stem cells (hPSCs), downstream cell separation has now become a critical step to produce hPSC‐derived products. Since differentiation procedures usually result in a heterogeneous cell population, cell separation needs to be performed either to enrich the desired cell population or remove the undesired cell population. This article summarizes recent advances in separation processes for hPSC‐derived cells, including the standard separation technologies, such as magnetic‐activated cell sorting, as well as the novel separation strategies, such as those based on adhesion strength and metabolic flux. Specifically, the downstream bioprocessing flow and the identification of surface markers for various cell lineages are discussed. While challenges remain for large‐scale downstream bioprocessing of hPSC‐derived cells, the rational quality‐by‐design approach should be implemented to enhance the understanding of the relationship between process and the product and to ensure the safety of the produced cells.
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Affiliation(s)
- Sebastien Sart
- Laboratory of Physical Microfluidics and Bioengineering Department of Genome and Genetics Institut Pasteur Paris France
| | - Chang Liu
- Department of Chemical and Biomedical Engineering FAMU‐FSU College of Engineering Florida State University Tallahassee FL USA
| | - Eric Z. Zeng
- Department of Chemical and Biomedical Engineering FAMU‐FSU College of Engineering Florida State University Tallahassee FL USA
| | - Chunhui Xu
- Department of Pediatrics Emory University School of Medicine and Children's Healthcare of Atlanta Atlanta GA USA
| | - Yan Li
- Department of Chemical and Biomedical Engineering FAMU‐FSU College of Engineering Florida State University Tallahassee FL USA
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Shen MJ, Olsthoorn RC, Zeng Y, Bakkum T, Kros A, Boyle AL. Magnetic-Activated Cell Sorting Using Coiled-Coil Peptides: An Alternative Strategy for Isolating Cells with High Efficiency and Specificity. ACS APPLIED MATERIALS & INTERFACES 2021; 13:11621-11630. [PMID: 33656313 PMCID: PMC7975280 DOI: 10.1021/acsami.0c22185] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Magnetic-activated cell sorting (MACS) is an affinity-based technique used to separate cells according to the presence of specific markers. Current MACS systems generally require an antigen to be expressed at the cell surface; these antigen-presenting cells subsequently interact with antibody-labeled magnetic particles, facilitating separation. Here, we present an alternative MACS method based on coiled-coil peptide interactions. We demonstrate that HeLa, CHO, and NIH3T3 cells can either incorporate a lipid-modified coiled-coil-forming peptide into their membrane, or that the cells can be transfected with a plasmid containing a gene encoding a coiled-coil-forming peptide. Iron oxide particles are functionalized with the complementary peptide and, upon incubation with the cells, labeled cells are facilely separated from nonlabeled populations. In addition, the resulting cells and particles can be treated with trypsin to facilitate detachment of the cells from the particles. Therefore, our new MACS method promotes efficient cell sorting of different cell lines, without the need for antigen presentation, and enables simple detachment of the magnetic particles from cells after the sorting process. Such a system can be applied to rapidly developing, sensitive research areas, such as the separation of genetically modified cells from their unmodified counterparts.
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Affiliation(s)
- Meng-Jie Shen
- Department
of Supramolecular & Biomaterials Chemistry, Leiden Institute of
Chemistry, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands
| | - René C.L. Olsthoorn
- Department
of Supramolecular & Biomaterials Chemistry, Leiden Institute of
Chemistry, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands
| | - Ye Zeng
- Department
of Supramolecular & Biomaterials Chemistry, Leiden Institute of
Chemistry, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands
| | - Thomas Bakkum
- Department
of Bio-organic Synthesis, Leiden Institute of Chemistry, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands
| | - Alexander Kros
- Department
of Supramolecular & Biomaterials Chemistry, Leiden Institute of
Chemistry, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands
| | - Aimee L. Boyle
- Department
of Macromolecular Biochemistry, Leiden Institute of Chemistry, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands
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Bandeiras C, Cabral JMS, Gabbay RA, Finkelstein SN, Ferreira FC. Bringing Stem Cell‐Based Therapies for Type 1 Diabetes to the Clinic: Early Insights from Bioprocess Economics and Cost‐Effectiveness Analysis. Biotechnol J 2019; 14:e1800563. [DOI: 10.1002/biot.201800563] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 04/21/2019] [Indexed: 12/22/2022]
Affiliation(s)
- Cátia Bandeiras
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior TécnicoUniversidade de Lisboa 1049‐001 Lisboa Portugal
- The Discoveries Center for Regenerative and Precision Medicine, Lisbon CampusInstituto Superior Técnico, Universidade de Lisboa 1049‐001 Lisboa Portugal
- Division of Clinical Informatics, Department of MedicineBeth Israel Deaconess Medical Center 1330 Beacon Street Brookline MA 02446 USA
| | - Joaquim M. S. Cabral
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior TécnicoUniversidade de Lisboa 1049‐001 Lisboa Portugal
- The Discoveries Center for Regenerative and Precision Medicine, Lisbon CampusInstituto Superior Técnico, Universidade de Lisboa 1049‐001 Lisboa Portugal
| | - Robert A. Gabbay
- Joslin Diabetes Medical CenterHarvard Medical School One Joslin Place Boston MA 02216 USA
| | - Stan N. Finkelstein
- Division of Clinical Informatics, Department of MedicineBeth Israel Deaconess Medical Center 1330 Beacon Street Brookline MA 02446 USA
- Institute for Data, Systems and SocietyMassachusetts Institute of Technology 50 Ames Street Cambridge MA 02139 USA
| | - Frederico Castelo Ferreira
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior TécnicoUniversidade de Lisboa 1049‐001 Lisboa Portugal
- The Discoveries Center for Regenerative and Precision Medicine, Lisbon CampusInstituto Superior Técnico, Universidade de Lisboa 1049‐001 Lisboa Portugal
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Lam C, Meinert E, Alturkistani A, Carter AR, Karp J, Yang A, Brindley D, Cui Z. Decision Support Tools for Regenerative Medicine: Systematic Review. J Med Internet Res 2018; 20:e12448. [PMID: 30567696 PMCID: PMC6315273 DOI: 10.2196/12448] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 12/17/2022] Open
Abstract
Background Decisional tools have demonstrated their importance in informing manufacturing and commercial decisions in the monoclonal antibody domain. Recent approved therapies in regenerative medicine have shown great clinical benefits to patients. Objective The objective of this review was to investigate what decisional tools are available and what issues and gaps have been raised for their use in regenerative medicine. Methods We systematically searched MEDLINE to identify articles on decision support tools relevant to tissue engineering, and cell and gene therapy, with the aim of identifying gaps for future decisional tool development. We included published studies in English including a description of decisional tools in regenerative medicines. We extracted data using a predesigned Excel table and assessed the data both quantitatively and qualitatively. Results We identified 9 articles addressing key decisions in manufacturing and product development challenges in cell therapies. The decision objectives, parameters, assumptions, and solution methods were analyzed in detail. We found that all decisional tools focused on cell therapies, and 6 of the 9 reviews focused on allogeneic cell therapy products. We identified no available tools on tissue-engineering and gene therapy products. These studies addressed key decisions in manufacturing and product development challenges in cell therapies, such as choice of technology, through modeling. Conclusions Our review identified a limited number of decisional tools. While the monoclonal antibodies and biologics decisional tool domain has been well developed and has shown great importance in driving more cost-effective manufacturing processes and better investment decisions, there is a lot to be learned in the regenerative medicine domain. There is ample space for expansion, especially with regard to autologous cell therapies, tissue engineering, and gene therapies. To consider the problem more comprehensively, the full needle-to-needle process should be modeled and evaluated.
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Affiliation(s)
- Ching Lam
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom.,Healthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Edward Meinert
- Healthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom.,Global Digital Health Unit, Department of Primary Care and Public Health, Imperial College London, London, United Kingdom
| | - Abrar Alturkistani
- Global Digital Health Unit, Department of Primary Care and Public Health, Imperial College London, London, United Kingdom
| | - Alison R Carter
- Healthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Jeffrey Karp
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States
| | - Aidong Yang
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - David Brindley
- Healthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Zhanfeng Cui
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
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Bandeiras C, Cabral JM, Finkelstein SN, Ferreira FC. Modeling biological and economic uncertainty on cell therapy manufacturing: the choice of culture media supplementation. Regen Med 2018; 13:917-933. [PMID: 30488770 DOI: 10.2217/rme-2018-0034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
AIM To evaluate the cost-effectiveness of autologous cell therapy manufacturing in xeno-free conditions. MATERIALS & METHODS Published data on the isolation and expansion of mesenchymal stem/stromal cells introduced donor, multipassage and culture media variability on cell yields and process times on adherent culture flasks to drive cost simulation of a scale-out campaign of 1000 doses of 75 million cells each in a 400 square meter Good Manufacturing Practices facility. RESULTS & CONCLUSION Passage numbers in the expansion step are strongly associated with isolation cell yield and drive cost increases per donor of $1970 and 2802 for fetal bovine serum and human platelet lysate. Human platelet lysate decreases passage numbers and process costs in 94.5 and 97% of donors through lower facility and labor costs. Cost savings are maintained with full equipment depreciation and higher numbers of cells per dose, highlighting the number of cells per passage step as the key cost driver.
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Affiliation(s)
- Cátia Bandeiras
- Department of Bioengineering and iBB - Institute for Bioengineering & Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal.,The Discoveries Centre for Regenerative & Precision Medicine, Lisbon Campus, Universidade de Lisboa, Portugal.,Institute for Data, Systems & Society, Massachusetts Institute of Technology, 50 Ames Street, Cambridge MA 02139, USA.,Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston MA 02215, USA
| | - Joaquim Ms Cabral
- Department of Bioengineering and iBB - Institute for Bioengineering & Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal.,The Discoveries Centre for Regenerative & Precision Medicine, Lisbon Campus, Universidade de Lisboa, Portugal
| | - Stan N Finkelstein
- Institute for Data, Systems & Society, Massachusetts Institute of Technology, 50 Ames Street, Cambridge MA 02139, USA.,Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston MA 02215, USA
| | - Frederico Castelo Ferreira
- Department of Bioengineering and iBB - Institute for Bioengineering & Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal.,The Discoveries Centre for Regenerative & Precision Medicine, Lisbon Campus, Universidade de Lisboa, Portugal
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Jenkins MJ, Farid SS. Cost-effective bioprocess design for the manufacture of allogeneic CAR-T cell therapies using a decisional tool with multi-attribute decision-making analysis. Biochem Eng J 2018. [DOI: 10.1016/j.bej.2018.05.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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