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Flow Cytometry in Multi-center and Longitudinal Studies

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Single Cell Analysis

Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

In the era of consortium-based studies, “omics,” and data sharing, flow cytometry needs to match other technological platforms in terms of standard operating procedures, reduced variability, and reproducibility. While tools such as gene-expression platforms have proven robustness and reproducibility, flow cytometry still relies heavily on scientists for the development of antibody panels as well as detailed experimental procedures. This is expected to remain for several decades, as the limit of markers to be assessed in a single staining does not allow attainment of the “omic” level of other technological platforms. This chapter presents a non-exhaustive series of multi-centric and longitudinal studies and their integration of flow cytometry measures. We also discuss recommendations made by key consortia to minimize variability in flow cytometry experiments. This chapter also aims to raise awareness of factors that may influence flow cytometry data obtained in large studies.

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Acknowledgments

Anis Larbi is supported by the Singapore Immunology Network, the Agency for Science Technology and Research (Clinical Immunomonitoring Platform grant #H16/99/b0/0111) and the Joint Council Office Development Program (grant #1434m0011). Anis Larbi is an emeritus Marylou Ingram ISAC Scholar.

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Authors and Affiliations

  1. Biology of Aging Laboratory, Singapore Immunology Network, Agency for Science Technology and Research (A*STAR), Singapore, Singapore

    Anis Larbi

  2. A*STAR Flow Cytometry, SIgN Immunomonitoring Platform Facility, A*STAR, Singapore, Singapore

    Anis Larbi

  3. Faculty of Medicine, University of Sherbrooke, Sherbrooke, QC, Canada

    Anis Larbi

  4. Department of Biology, Faculty of Sciences, ElManar University, Tunis, Tunisia

    Anis Larbi

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  1. Anis Larbi
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Correspondence to Anis Larbi .

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Editors and Affiliations

  1. Purdue University Cytometry Laboratories, Department of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA

    J. Paul Robinson

  2. Chair of Pathology and Immunology, Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia School of Medicine, Modena, Italy

    Andrea Cossarizza

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Larbi, A. (2017). Flow Cytometry in Multi-center and Longitudinal Studies. In: Robinson, J., Cossarizza, A. (eds) Single Cell Analysis. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-4499-1_5

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  • DOI: https://doi.org/10.1007/978-981-10-4499-1_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4498-4

  • Online ISBN: 978-981-10-4499-1

  • eBook Packages: EngineeringEngineering (R0)

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