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Quantification of T-Cell Migratory Phenotypes Using High-Content Analysis

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T-Cell Motility

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1930))

Abstract

The exploration screening of phenotypic changes in motile T-cells within a signaling environment has always been an arduous task due to the sheer population of these microscopic cells. In recent years, High-Content Analysis (HCA) has gained epochal momentum and has allowed for a wider range of quantitative multiplexed cell-based assays in the field of lymphocyte signaling. In this chapter, we consolidate our understanding and describe the technical approach and methodology to quantify T-cell migratory phenotypes using HCA. Optimizations to be adopted to generate high-quality cytological images of motile T-cells and subsequent analysis using HCA are detailed as well.

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References

  1. Kern S (2011) Analytic model for academic research productivity having factors, interactions and implications. Cancer Biol Ther 12:949–956

    Article  Google Scholar 

  2. Zock JM (2009) Applications of high content screening in life science research. Comb Chem High Throughput Screen 12:870–876

    Article  CAS  Google Scholar 

  3. Talbot CB, McGinty J, Grant DM, McGhee EJ, Owen DM, Zhang W, Bunney TD, Munro I, Isherwood B, Eagle R, Hargreaves A, Dunsby C, Neil MA, French PM (2008) High speed unsupervised fluorescence lifetime imaging confocal multiwell plate reader for high content analysis. J Biophotonics 1:514–521

    Article  Google Scholar 

  4. Gasparri F, Galvani A (2010) Image-based high-content reporter assays: limitations and advantages. Drug Discov Today Technol 7:e21–e30

    Article  CAS  Google Scholar 

  5. Ranade AR, Wilson MS, McClanahan AM, Ball AJ (2014) High content imaging and analysis enable quantitative in situ assessment of CYP3A4 using cryopreserved differentiated HepaRG cells. J Toxicol 2014:291054

    Article  Google Scholar 

  6. Kaushal D, Naeve CW (2004) Analyzing and visualizing expression data with spotfire. Current protocols in bioinformatics. Wiley, Hoboken

    Google Scholar 

  7. Verma NK, Dourlat J, Davies AM, Long A, Liu WQ, Garbay C, Kelleher D, Volkov Y (2009) STAT3-stathmin interactions control microtubule dynamics in migrating T-cells. J Biol Chem 284:12349–12362

    Article  CAS  Google Scholar 

  8. Desbordes SC, Placantonakis DG, Ciro A, Socci ND, Lee G, Djaballah H, Studer L (2008) High-throughput screening assay for the identification of compounds regulating self-renewal and differentiation in human embryonic stem cells. Cell Stem Cell 2:602–612

    Article  CAS  Google Scholar 

  9. Ong ST, Freeley M, Skubis-Zegadło J, Fazil MH, Kelleher D, Fresser F, Baier G, Verma NK, Long A (2014) Phosphorylation of Rab5a protein by protein kinase Cϵ is crucial for T-cell migration. J Biol Chem 289:19420–19434

    Article  CAS  Google Scholar 

  10. Freeley M, Bakos G, Davies A, Kelleher D, Long A, Dunican DJ (2010) A high-content analysis toolbox permits dissection of diverse signaling pathways for T lymphocyte polarization. J Biomol Screen 15:541–555

    Article  CAS  Google Scholar 

  11. Buchser W et al (2014) Assay development guidelines for image-based high content screening, high content analysis and high content imaging. Assay Guidance Manual. Eli Lilly & Company and the National Center for Advancing Translational Sciences, Bethesda (MD)

    Google Scholar 

  12. Fanning A, Volkov Y, Freeley M, Kelleher D, Long A (2005) CD44 cross-linking induces protein kinase C-regulated migration of human T lymphocytes. Int Immunol 17:449–458

    Article  CAS  Google Scholar 

  13. Mitra K, Lippincott-Schwartz J (2010) Analysis of mitochondrial dynamics and functions using imaging approaches. Curr Protoc Cell Biol Chapter 4(Unit 4.25):1–21

    Google Scholar 

  14. Ramirez CN, Ozawa T, Takagi T, Antczak C, Shum D, Graves R, Holland EC, Djaballah H (2011) Validation of a high-content screening assay using whole-well imaging of transformed phenotypes. Assay Drug Dev Technol 9:247–261

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by Lee Kong Chian School of Medicine, Nanyang Technological University Singapore Start-Up Grant and the Ministry of Education (MOE), Singapore under its Singapore MOE Academic Research Fund (AcRF) Tier 1 (2014-T1-001-141) and MOE-AcRF Tier 2 (MOE2017-T2-2-004) grants to N.K.V. The authors would like to thank Jaron Liu (GE Healthcare) for his expert advice on the functionality of the equipment. AS Ng would also like to acknowledge the funding support for this project from Nanyang Technological University under the Undergraduate Research Experience on CAmpus (URECA) programme.

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Correspondence to Seow Theng Ong .

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Ng, A.S., Ong, S.T., Kelleher, D., Verma, N.K. (2019). Quantification of T-Cell Migratory Phenotypes Using High-Content Analysis. In: Verma, N. (eds) T-Cell Motility. Methods in Molecular Biology, vol 1930. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9036-8_4

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  • DOI: https://doi.org/10.1007/978-1-4939-9036-8_4

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-9035-1

  • Online ISBN: 978-1-4939-9036-8

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