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Microfluidic sorting and multimodal typing of cancer cells in self-assembled magnetic arrays

Source: Proc. Natl. Acad. Sci. U.S.A. 107, 14524 (2010);

Issue Date: 30 August 2010

PUBLICATION DATA
ISSN:
1553-9644 (online)
Publisher:
AIP is a member of CrossRef NAS
Antoine-Emmanuel Saliba
Institut Curie, Centre National de la Recherche Scientifique, Université Pierre et Marie Curie, Unité Mixte de Recherche 168, 75005 Paris, France

Laure Saias


Eleni Psychari


Nicolas Minc


Damien Simon


François-Clément Bidard


Claire Mathiot


Jean-Yves Pierga


Vincent Fraisier


Jean Salamero


Véronique Saada


Françoise Farace


Philippe Vielh


Laurent Malaquin


Jean-Louis Viovy

We propose a unique method for cell sorting, "Ephesia," using columns of biofunctionalized superparamagnetic beads self-assembled in a microfluidic channel onto an array of magnetic traps prepared by microcontact printing. It combines the advantages of microfluidic cell sorting, notably the application of a well controlled, flow-activated interaction between cells and beads, and those of immunomagnetic sorting, notably the use of batch-prepared, well characterized antibody-bearing beads. On cell lines mixtures, we demonstrated a capture yield better than 94%, and the possibility to cultivate in situ the captured cells. A second series of experiments involved clinical samples—blood, pleural effusion, and fine needle aspirates— issued from healthy donors and patients with B-cell hematological malignant tumors (leukemia and lymphoma). The immunophenotype and morphology of B-lymphocytes were analyzed directly in the microfluidic chamber, and compared with conventional flow cytometry and visual cytology data, in a blind test. Immunophenotyping results using Ephesia were fully consistent with those obtained by flow cytometry. We obtained in situ high resolution confocal three-dimensional images of the cell nuclei, showing intranuclear details consistent with conventional cytological staining. Ephesia thus provides a powerful approach to cell capture and typing allowing fully automated high resolution and quantitative immunophenotyping and morphological analysis. It requires at least 10 times smaller sample volume and cell numbers than cytometry, potentially increasing the range of indications and the success rate of microbiopsy-based diagnosis, and reducing analysis time and cost. ©2010 National Academy of Sciences

(As supplied by publisher.)

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