The Systematic Production of Cells for Cell Therapies

Slides:



Advertisements
Similar presentations
Biology Medicine Engineering Bioreactor Cell Engineering Monitoring &
Advertisements

Microfluidics Technology Fair, October 3, 2006 Parallel Integrated Bioreactor Arrays for Bioprocess Development Harry Lee, Paolo Boccazzi, Rajeev Ram,
Systems Biology ___ Toward System-level Understanding of Biological Systems Hou-Haifeng.
Distribution of Human Embryonic Stem Cell Lines: Who, When, and Where Jennifer B. McCormick, Jason Owen-Smith, Christopher Thomas Scott Cell Stem Cell.
Evolution of the Cancer Stem Cell Model Antonija Kreso, John E. Dick Cell Stem Cell Volume 14, Issue 3, Pages (March 2014) DOI: /j.stem
IPSC Crowdsourcing: A Model for Obtaining Large Panels of Stem Cell Lines for Screening Mahendra Rao Cell Stem Cell Volume 13, Issue 4, Pages (October.
Fate Restriction and Multipotency in Retinal Stem Cells Lázaro Centanin, Burkhard Hoeckendorf, Joachim Wittbrodt Cell Stem Cell Volume 9, Issue 6, Pages.
Normal and Leukemic Stem Cell Niches: Insights and Therapeutic Opportunities Koen Schepers, Timothy B. Campbell, Emmanuelle Passegué Cell Stem Cell Volume.
Quantitative Single-Cell Approaches to Stem Cell Research Martin Etzrodt, Max Endele, Timm Schroeder Cell Stem Cell Volume 15, Issue 5, Pages (November.
ANIMAL TISSUE CULTURE PRESENTATION
Application of Design of Experiments using JMP to Develop a Universal
Cell Delivery Mechanisms for Tissue Repair
Kevin G. Chen, Barbara S. Mallon, Ronald D.G. McKay, Pamela G. Robey 
Chapter 12. Controlling the Process
Advancing Stem Cell Biology toward Stem Cell Therapeutics
Chemotherapy and Cancer Stem Cells
Illuminating the Properties of Prostate Luminal Progenitors
Cancer: Inappropriate Expression of Stem Cell Programs?
Back to 2D Culture for Ground State of Intestinal Stem Cells
Volume 1, Issue 5, Pages (November 2007)
Kevin G. Chen, Barbara S. Mallon, Ronald D.G. McKay, Pamela G. Robey 
Volume 1, Issue 1, Pages (June 2007)
A Path to Insulin Independence: “The End of the Beginning”
Volume 138, Issue 4, Pages (August 2009)
Public Private Partnerships: A Marriage of Necessity
Justin D. Lathia, John M. Heddleston, Monica Venere, Jeremy N. Rich 
Personalized Disease Models on a Chip
Volume 20, Issue 1, Pages (January 2017)
Therapeutic Translation of iPSCs for Treating Neurological Disease
Justin Brumbaugh, Konrad Hochedlinger  Cell Stem Cell 
Regulating Cancer Stem Cells the miR Way
Wing Y. Chang, William L. Stanford  Cell Stem Cell 
Reconstructing Complex Tissues from Single-Cell Analyses
Stealing VEGF from Thy Neighbor
Stem Cell Therapies in Clinical Trials: Progress and Challenges
Wenlian Qiao, Peter W. Zandstra  Cell Stem Cell 
Psychiatric Disorders: Diagnosis to Therapy
Organoid Center Strategies for Accelerating Clinical Translation
Soledad Matus, Danilo B. Medinas, Claudio Hetz  Cell Stem Cell 
Krishanu Saha, Rudolf Jaenisch  Cell Stem Cell 
Florian T. Merkle, Kevin Eggan  Cell Stem Cell 
Cell Delivery Mechanisms for Tissue Repair
Lea Goentoro, Oren Shoval, Marc W. Kirschner, Uri Alon  Molecular Cell 
Loukia Yiangou, Alexander D.B. Ross, Kim Jee Goh, Ludovic Vallier 
Lino Ferreira, Jeffrey M. Karp, Luis Nobre, Robert Langer 
Targeting β-catenin in CML: Leukemia Stem Cells Beware!
Pattern Recognition Receptors
Volume 10, Issue 2, Pages (February 2012)
Michael D. Brooks, Monika L. Burness, Max S. Wicha  Cell Stem Cell 
Jeroen Leijten, Ali Khademhosseini  Cell Stem Cell 
Engineering Stem Cell Organoids
Personalized Disease Models on a Chip
Gene Regulation: Hacking the Network on a Sugar High
Powering Reprogramming with Vitamin C
Biomimetic Platforms for Human Stem Cell Research
The Stem Cell Niche in Regenerative Medicine
Cancer Stem Cells: Current Status and Evolving Complexities
Charting a Map through the Cellular Reprogramming Landscape
Clinical Translation of Stem Cell Therapies: A Bridgeable Gap
674. Molecular, Biochemical and Biomechanical Analysis of Articular Cartilage Repaired with Genetically Modified Chondrocytes Expressing Insulin-Like.
Engineering Biological Systems with Synthetic RNA Molecules
Volume 14, Issue 4, Pages (October 2008)
Molecular Therapy  Volume 21, Pages S247-S248 (May 2013)
A Missing Link in Genotype-Directed Cancer Therapy
Cardiac Stem Cell Therapy and the Promise of Heart Regeneration
Volume 12, Issue 6, Pages (December 2007)
Devyn M. Smith, Emily J. Culme-Seymour, Chris Mason  Cell Stem Cell 
Sachin Malhotra, Paul W. Kincade  Cell Stem Cell 
Knocking the Wnt out of the Sails of Leukemia Stem Cell Development
Justin Brumbaugh, Konrad Hochedlinger  Cell Stem Cell 
Presentation transcript:

The Systematic Production of Cells for Cell Therapies Daniel C. Kirouac, Peter W. Zandstra  Cell Stem Cell  Volume 3, Issue 4, Pages 369-381 (October 2008) DOI: 10.1016/j.stem.2008.09.001 Copyright © 2008 Elsevier Inc. Terms and Conditions

Figure 1 Roadmap for the Development of Cell Therapies Cell therapy development can be divided into four phases: discovery, process optimization, production, and therapeutic delivery. In the discovery phase, the main issue is product characterization. Functional assays and cellular and molecular profiling are useful tools in this phase. The process optimization phase involves quantifying the relationship between culture parameters and cell output. The rational design of experiments and high-throughput screening using microculture platforms can be used to generate empirical cell-based models, which may be integrated with molecular profiling technologies to develop more mechanistic, molecular-based models. Considerations in the production phase include the scale-up strategy and quality control. The final phase is the therapeutic delivery of the cell product. It should be noted that the development phases feed back on one another—during process optimization, biological discoveries may be made, and during production, the design space will become better defined. Cell Stem Cell 2008 3, 369-381DOI: (10.1016/j.stem.2008.09.001) Copyright © 2008 Elsevier Inc. Terms and Conditions

Figure 2 Multidimensional Optimization of Cell Production Processes Multidimensional optimization problems are an intrinsic part of process design engineering wherein multiple (often conflicting) outputs must be simultaneously maximized/minimized as a function of multiple (nonlinear) input parameters (the “design space”). For cell therapy production processes, one desires to minimize cost (reagents, time, and operator requirements) while maximizing product yield (target cells/day) and quality (cell purity, functionality, sterility, etc.). Depicted is the response surface of a theoretical objective function to be minimized (cost) as a function of two closely linked process parameters, selective pressure (in this case the rate at which undesired genetic changes occur as a function of the culture conditions) and cell output (the rate at which the target cells are generated). Cell Stem Cell 2008 3, 369-381DOI: (10.1016/j.stem.2008.09.001) Copyright © 2008 Elsevier Inc. Terms and Conditions

Figure 3 Bioprocess Control Strategy In order to maintain a bioprocess at optimal conditions, disturbances must be continually corrected by varying controllable input parameters. “Disturbances” for cell therapy production pertain to internal culture dynamics (nutrient depletion, endogenous protein secretion, etc.) and external uncontrolled parameters (biological variability, media fluctuations, etc.). Culture outputs (cell density, cell surface antigen expression, etc.) and process inputs (input cell populations) can be continually monitored using online sensors. Based on mathematical models relating cell outputs to culture parameters, controllable input parameters (feeding rate, air sparging, growth factor concentrations, etc.) can be adjusted based on feedback (FB) and feed-forward (FF) signals to maintain the culture environment within allowable ranges. Cell Stem Cell 2008 3, 369-381DOI: (10.1016/j.stem.2008.09.001) Copyright © 2008 Elsevier Inc. Terms and Conditions

Figure 4 A “Two-Phase” Bioreactor A stirred tank bioreactor can be used to cultivate adherent cells or aggregates on engineered scaffolds or surfaces. Bulk macroenvironmental parameters (i.e., temperature, pH, pO2, glucose concentration, lactose concentration, etc.) are monitored and controlled using online sensors. Microenvironmental, or cell-level, parameters (endogenous factor concentrations and cell-cell and cell-ECM interactions) are regulated using the scaffold design. In this example, an immobilized ligand gradient within the scaffold directs tissue-level organization of the cells. Cell Stem Cell 2008 3, 369-381DOI: (10.1016/j.stem.2008.09.001) Copyright © 2008 Elsevier Inc. Terms and Conditions

Figure 5 In Vitro Cell-Based Functional Bioassay Engineered tissue may serve as a powerful platform to assay cells produced in bioprocesses. t0: cells produced in the bioprocess are seeded onto a human tissue engineered construct. t1: the relevant cell population(s) adhere/integrate within the tissue construct. t2: at a defined time point following culture the functional activity of the resulting cell population is evaluated using morphological (i.e., cell number, distribution, and colony size), functional (i.e., electromechanical properties, enzyme activity), and/or biochemical (i.e., gene expression, protein secretion, cell surface antigen expression) readouts predictive of the human clinical response. Cell Stem Cell 2008 3, 369-381DOI: (10.1016/j.stem.2008.09.001) Copyright © 2008 Elsevier Inc. Terms and Conditions