2011
DOI: 10.1063/1.3574448
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Single-cell assays

Abstract: This review presents an overview of literature that describes the applications of microfluidics to assay individual cells. We quantify the content of an individual mammalian cell, so that we can understand what criteria a single-cell assay must satisfy to be successful. We put in context the justification for single-cell assays and identify the characteristics that are relevant to single-cell assays. We review the literature from the past 24 months that describe the methods that use microfabrication-convention… Show more

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Cited by 30 publications
(21 citation statements)
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“…The analysis of biochemical contents, such as protein,164 DNA and RNA,165 in single cells, is critical for the understanding of cellular processes 166. Unlike conventional analysis for a batch of cells, single‐cell analysis could avoid the loss of information associated with ensemble averaging, and thus reflect important variations in a cellular population.…”
Section: Single Cell Analysismentioning
confidence: 99%
“…The analysis of biochemical contents, such as protein,164 DNA and RNA,165 in single cells, is critical for the understanding of cellular processes 166. Unlike conventional analysis for a batch of cells, single‐cell analysis could avoid the loss of information associated with ensemble averaging, and thus reflect important variations in a cellular population.…”
Section: Single Cell Analysismentioning
confidence: 99%
“…Moreover, profiling does not provide information on protein-protein interactions (Hunter, 2000 ; Celis and Gromov, 2003 ), and most critically, nor does it fully account for the extreme clonal heterogeneity recently revealed (Barbieri et al, 2013 ). In this regard, the possibility to functionally test treatment protocols directly on patient tumor cells, before therapy implementation, in an “ in vivo mimicking” environment, and preferably by utilizing single cell assays (Ryan et al, 2011 ), or at a minimum by performing studies at the clonal level (Sabaawy, 2014 ), would definitely address these limitations. Here, we present the key strengths, weaknesses, and possible applications of the 3D organoid models into the biomedical field, with a particular emphasis on the prostate cancer (PCa) therapeutic arena.…”
mentioning
confidence: 99%
“…Studies done on large heterogeneous cell samples yield an average view which can obscure detection and examination of important minority cell types (Holmes and Al-Rubeai 1999; Love et al 2006; Jin et al 2009; Gong et al 2010; Nikkah et al 2011; Ryan et al 2011). In developing assays for single cell screening using micro-well arrays it is necessary to identify and fully characterize the factors that determine cell seeding efficiency and distribution statistics.…”
Section: Discussionmentioning
confidence: 99%