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Full-length article Manufacturing Processes|Articles in Press

Early detection and metabolic pathway identification of T cell activation by in-process intracellular mass spectrometry

  • Austin L. Culberson
    Affiliations
    The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA

    National Science Foundation Engineering Research Center (ERC) for Cell Manufacturing Technologies (CMaT), Atlanta, Georgia, USA
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  • Annie C. Bowles-Welch
    Affiliations
    Marcus Center for Therapeutic Cell Characterization and Manufacturing, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
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  • Bryan Wang
    Affiliations
    National Science Foundation Engineering Research Center (ERC) for Cell Manufacturing Technologies (CMaT), Atlanta, Georgia, USA

    Marcus Center for Therapeutic Cell Characterization and Manufacturing, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA

    The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA

    School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
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  • Peter A. Kottke
    Affiliations
    The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
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  • Angela C. Jimenez
    Affiliations
    National Science Foundation Engineering Research Center (ERC) for Cell Manufacturing Technologies (CMaT), Atlanta, Georgia, USA

    Marcus Center for Therapeutic Cell Characterization and Manufacturing, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA

    The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
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  • Krishnendu Roy
    Affiliations
    National Science Foundation Engineering Research Center (ERC) for Cell Manufacturing Technologies (CMaT), Atlanta, Georgia, USA

    Marcus Center for Therapeutic Cell Characterization and Manufacturing, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA

    The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
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  • Andrei G. Fedorov
    Correspondence
    Correspondence: Andrei G. Fedorov, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA.
    Affiliations
    The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA

    National Science Foundation Engineering Research Center (ERC) for Cell Manufacturing Technologies (CMaT), Atlanta, Georgia, USA
    Search for articles by this author
Published:April 13, 2023DOI:https://doi.org/10.1016/j.jcyt.2023.03.010

      Abstract

      Background aims

      In-process monitoring and control of biomanufacturing workflows remains a significant challenge in the development, production, and application of cell therapies. New process analytical technologies must be developed to identify and control the critical process parameters that govern ex vivo cell growth and differentiation to ensure consistent and predictable safety, efficacy, and potency of clinical products.

      Methods

      This study demonstrates a new platform for at-line intracellular analysis of T-cells. Untargeted mass spectrometry analyses via the platform are correlated to conventional methods of T-cell assessment.

      Results

      Spectral markers and metabolic pathways correlated with T-cell activation and differentiation are detected at early time points via rapid, label-free metabolic measurements from a minimal number of cells as enabled by the platform. This is achieved while reducing the analytical time and resources as compared to conventional methods of T-cell assessment.

      Conclusions

      In addition to opportunities for fundamental insight into the dynamics of T-cell processes, this work highlights the potential of in-process monitoring and dynamic feedback control strategies via metabolic modulation to drive T-cell activation, proliferation, and differentiation throughout biomanufacturing.

      Key Words

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