Magnetic Ranking Cytometry: Profiling Rare Cells at the Single-Cell Level.


Journal

Accounts of chemical research
ISSN: 1520-4898
Titre abrégé: Acc Chem Res
Pays: United States
ID NLM: 0157313

Informations de publication

Date de publication:
18 08 2020
Historique:
pubmed: 15 7 2020
medline: 29 5 2021
entrez: 15 7 2020
Statut: ppublish

Résumé

Cellular heterogeneity in biological systems presents major challenges in the diagnosis and treatment of disease and also complicates the deconvolution of complex cellular phenomena. Single-cell analysis methods provide information that is not masked by the intrinsic heterogeneity of the bulk population and can therefore be applied to gain insights into heterogeneity among different cell subpopulations with fine resolution. Over the last 5 years, an explosion in the number of single-cell measurement methods has occurred. However, most of these methods are applicable to pure populations of cultured cells and are not able to handle high levels of phenotypic heterogeneity or a large background of nontarget cells. Microfluidics is an attractive tool for single cell manipulation as it enables individual encasing of single cells, allowing for high-throughput analysis with precise control of the local environment. Our laboratory has developed a new microfluidics-based analytical strategy to meet this unmet need referred to as magnetic ranking cytometry (MagRC). Cells expressing a biomarker of interest are labeled with receptor-coated magnetic nanoparticles and isolated from nontarget cells using a microfluidic device. The device ranks the cells according to the level of bound magnetic nanoparticles, which corresponds to the expression level of a target biomarker. Over the last several years, two generations of MagRC devices have been developed for different applications. The first-generation MagRC devices are powerful tools for the quantitation and analysis of rare cells present in heterogeneous samples, such as circulating tumor cells, stem cells, and pathogenic bacteria. The second-generation MagRC devices are compatible with the efficient recovery of cells sorted on the basis of protein expression and can be used to analyze large populations of cells and perform phenotypic CRISPR screens. To improve analytical precision, newer iterations of the first-generation and second-generation MagRC devices have been integrated with electrochemical sensors and Hall effect sensors, respectively. Both generations of MagRC devices permit the isolation of viable cells, which sets the stage for a wide range of applications, such as generating cell lines from rare cells and

Identifiants

pubmed: 32662263
doi: 10.1021/acs.accounts.0c00179
doi:

Substances chimiques

Antibodies 0
Aptamers, Nucleotide 0
Bacterial Proteins 0
Biomarkers 0
Epithelial Cell Adhesion Molecule 0
Magnetite Nanoparticles 0
Penicillin-Binding Proteins 0
RNA, Messenger 0
mecA protein, Staphylococcus aureus 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1445-1457

Auteurs

Mahmoud Labib (M)

Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario M5S 3M2, Canada.

David N Philpott (DN)

Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

Zongjie Wang (Z)

Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada.

Carine Nemr (C)

Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3G4, Canada.

Jenise B Chen (JB)

Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3G4, Canada.

Edward H Sargent (EH)

Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

Shana O Kelley (SO)

Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada.
Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada.

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Classifications MeSH