Electronic profiling of membrane antigen expression via immunomagnetic cell manipulation.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
21 07 2019
Historique:
pubmed: 15 6 2019
medline: 20 5 2020
entrez: 15 6 2019
Statut: ppublish

Résumé

Membrane antigens control cell function by regulating biochemical interactions and hence are routinely used as diagnostic and prognostic targets in biomedicine. Fluorescent labeling and subsequent optical interrogation of cell membrane antigens, while highly effective, limit expression profiling to centralized facilities that can afford and operate complex instrumentation. Here, we introduce a cytometry technique that computes surface expression of immunomagnetically labeled cells by electrically tracking their trajectory under a magnetic field gradient on a microfluidic chip with a throughput of >500 cells per min. In addition to enabling the creation of a frugal cytometry platform, this immunomagnetic cell manipulation-based measurement approach allows direct expression profiling of target subpopulations from non-purified samples. We applied our technology to measure epithelial cell adhesion molecule expression on human breast cancer cells. Once calibrated, surface expression and size measurements match remarkably well with fluorescence-based measurements from a commercial flow cytometer. Quantitative measurements of biochemical and biophysical cell characteristics with a disposable cytometer have the potential to impact point of care testing of clinical samples particularly in resource limited settings.

Identifiants

pubmed: 31199420
doi: 10.1039/c9lc00297a
doi:

Substances chimiques

Membrane Glycoproteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2444-2455

Auteurs

Ozgun Civelekoglu (O)

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. sarioglu@gatech.edu.

Ningquan Wang (N)

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. sarioglu@gatech.edu.

Mert Boya (M)

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. sarioglu@gatech.edu.

Tevhide Ozkaya-Ahmadov (T)

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. sarioglu@gatech.edu.

Ruxiu Liu (R)

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. sarioglu@gatech.edu.

A Fatih Sarioglu (AF)

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. sarioglu@gatech.edu and Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA and Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.

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Classifications MeSH