Literature DB >> 26929029

Multiparametric Biomechanical and Biochemical Phenotypic Profiling of Single Cancer Cells Using an Elasticity Microcytometer.

Shuhuan Hu1, Guangyu Liu2, Weiqiang Chen2,3, Xiang Li2, Wei Lu2, Raymond H W Lam1,2,4, Jianping Fu2,5,6,7.   

Abstract

Deep phenotyping of single cancer cells is of critical importance in the era of precision medicine to advance understanding of relationships between gene mutation and cell phenotype and to elucidate the biological nature of tumor heterogeneity. Existing microfluidic single-cell phenotyping tools, however, are limited to phenotypic measurements of 1-2 selected morphological and physiological features of single cells. Herein a microfluidic elasticity microcytometer is reported for multiparametric biomechanical and biochemical phenotypic profiling of free-floating, live single cancer cells for quantitative, simultaneous characterizations of cell size, cell deformability/stiffness, and surface receptors. The elasticity microcytometer is implemented for measurements and comparisons of four human cell lines with distinct metastatic potentials and derived from different human tissues. An analytical model is developed from first principles for the first time to convert cell deformation and adhesion information of single cancer cells encapsulated inside the elasticity microcytometer to cell deformability/stiffness and surface protein expression. Together, the elasticity microcytometer holds great promise for comprehensive molecular, cellular, and biomechanical phenotypic profiling of live cancer cells at the single cell level, critical for studying intratumor cellular and molecular heterogeneity using low-abundance, clinically relevant human cancer cells.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  cell deformability; cell phenotyping; elasticity microcytometers; microfluidics; surface proteins

Mesh:

Substances:

Year:  2016        PMID: 26929029      PMCID: PMC6232842          DOI: 10.1002/smll.201503620

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


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