Microfluidic cell surface antigen expression analysis using a single antibody type

Ye Zhang1, Dimitri Pappas1

  • 1Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA. d.pappas@ttu.edu.

The Analyst
|January 28, 2016
PubMed

Insights

This study presents a microfluidic chip for cell separation based on antigen expression differences. The novel affinity capture method achieves high purity, aiding in cell analysis and disease monitoring.

Area of Science:

  • Biotechnology
  • Cell Biology
  • Analytical Chemistry

Background:

  • Antigen expression is crucial for disease diagnosis, monitoring, and cell phenotype analysis.
  • Distinguishing cells based on subtle antigen expression differences presents a challenge in biological and clinical studies.

Purpose of the Study:

  • To develop an affinity capture method for isolating cells based on differential antigen expression using a single microfluidic chip.
  • To quantify antigen expression differences between cell populations with high specificity and efficiency.

Main Methods:

  • Designed a microfluidic chip with dual affinity regions utilizing varying antibody concentrations for differential cell capture.
  • Employed herringbone-modified capture channels to enhance cell-surface interactions under continuous-flow conditions.
  • Validated the method by analyzing Ramos B lymphocytes and HuT 78 T lymphocytes and spiking cells into blood samples.

Main Results:

  • Achieved 95% separation purity and 15% capture efficiency in microfluidic chip experiments.
  • Demonstrated a strong correlation (R^2 = 0.94) between cell capture ratios and CD71 antigen expression levels.
  • Validated performance in complex blood samples, showing consistent expression ratio measurements and 9.5x sample enrichment.

Conclusions:

  • The developed microfluidic affinity capture system robustly measures antigen expression differences between cells.
  • This method enables the distinction of cells even without unique surface antigens, provided sufficient expression level differences.
  • The technology offers a valuable tool for cell analysis in clinical studies, pathology, and biological research.

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