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

Aik Seng Ng1,2, Seow Theng Ong3, Dermot Kelleher1,4

  • 1Lymphocyte Signalling Research Laboratory, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.

Methods in Molecular Biology (Clifton, N.J.)
|January 6, 2019
PubMed
Summary
This summary is machine-generated.

Quantifying T-cell migratory phenotypes is challenging. High-Content Analysis (HCA) offers a powerful method for detailed cell imaging and quantitative analysis of these lymphocyte signaling dynamics.

Keywords:
High-content analysisImmunostainingT-cell migration

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Area of Science:

  • Immunology
  • Cell Biology
  • Biotechnology

Background:

  • Assessing phenotypic changes in motile T-cells within signaling environments is complex due to large cell populations.
  • High-Content Analysis (HCA) has emerged as a key technology for quantitative, multiplexed cell-based assays in lymphocyte signaling research.

Purpose of the Study:

  • To describe the technical approach and methodology for quantifying T-cell migratory phenotypes using HCA.
  • To detail optimizations for generating high-quality cytological images of motile T-cells.
  • To outline subsequent analysis procedures using HCA.

Main Methods:

  • Utilizing High-Content Analysis (HCA) for quantitative assessment of T-cell phenotypes.
  • Implementing optimized protocols for high-quality cytological imaging of motile T-cells.
  • Applying HCA-based analytical workflows for T-cell migration studies.

Main Results:

  • Established a robust HCA methodology for T-cell phenotype quantification.
  • Demonstrated optimized image acquisition for motile T-cells.
  • Provided a framework for detailed analysis of T-cell migratory behavior.

Conclusions:

  • HCA provides an effective platform for the quantitative analysis of T-cell migratory phenotypes.
  • Optimized imaging and analysis techniques enhance the study of lymphocyte signaling.
  • This approach facilitates a deeper understanding of T-cell dynamics in various contexts.