Literature DB >> 26814637

Microfluidic cell surface antigen expression analysis using a single antibody type.

Ye Zhang1, Dimitri Pappas1.   

Abstract

Antigen expression plays a significant role in clinical studies, pathology, biology and chemistry. The type and degree of antigen expression can provide information for disease diagnosis/monitoring and is used for phenotype analysis of cells. In this work, an affinity capture method was developed to capture cells based on antigen expression differences in a single microfluidic chip. Microfluidic chips with two affinity regions-at different antibody concentrations-captured two cell types based on differences in the expression of a single antigen. Using herringbone-modified capture channels, a separation purity of 95% and a capture efficiency of 15% were achieved under continuous-flow conditions. We observed that the capture ratio of Ramos B lymphocytes and HuT 78 T lymphocytes matched the expression ratio of CD71 for the two cell lines (R(2) = 0.94). To further validate our analytical method, Ramos B lymphocytes were spiked into blood samples to demonstrate performance with a complex sample. Expression ratios matched conventional flow cytometry measurements over a 40-fold difference, and the sample enrichment was 9.5×. This method has proven to be a robust system to measure the differences in antigen expression, and can be used to distinguish cells without having a unique surface antigen if the expression level is sufficiently high in one cell type.

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Year:  2016        PMID: 26814637     DOI: 10.1039/c5an02338f

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  2 in total

1.  A microfluidic technique to estimate antigen expression on particles.

Authors:  Tanmay Ghonge; Anurup Ganguli; Enrique Valera; Mariam Saadah; Gregory L Damhorst; Jacob Berger; Gelson Pagan Diaz; Umer Hassan; Monish Chheda; Zeeshan Haidry; Stan Liu; Carissa Hwu; Rashid Bashir
Journal:  APL Bioeng       Date:  2017-10-09

2.  A point-of-care microfluidic biochip for quantification of CD64 expression from whole blood for sepsis stratification.

Authors:  U Hassan; T Ghonge; B Reddy; M Patel; M Rappleye; I Taneja; A Tanna; R Healey; N Manusry; Z Price; T Jensen; J Berger; A Hasnain; E Flaugher; S Liu; B Davis; J Kumar; K White; R Bashir
Journal:  Nat Commun       Date:  2017-07-03       Impact factor: 14.919

  2 in total

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