Frontiers in single cell analysis: multimodal technologies and their clinical perspectives

Single cell multimodal analysis is at the frontier of single cell research: it defines the roles and functions of distinct cell types through simultaneous analysis to provide unprecedented insight into cellular processes. Current single cell approaches are rapidly moving toward multimodal characteri...

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Bibliographic Details
Published in:Lab on a chip 2022-06, Vol.22 (13), p.243-2422
Main Authors: Källberg, Julia, Xiao, Wenjin, Van Assche, David, Baret, Jean-Christophe, Taly, Valerie
Format: Article
Language:English
Subjects:
Cellular Biology
Condensed Matter
Dimensional analysis
Heterogeneity
Life Sciences
Microfluidics
Physics
Soft Condensed Matter
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Summary:Single cell multimodal analysis is at the frontier of single cell research: it defines the roles and functions of distinct cell types through simultaneous analysis to provide unprecedented insight into cellular processes. Current single cell approaches are rapidly moving toward multimodal characterizations. It replaces one-dimensional single cell analysis, for example by allowing for simultaneous measurement of transcription and post-transcriptional regulation, epigenetic modifications and/or surface protein expression. By providing deeper insights into single cell processes, multimodal single cell analyses paves the way to new understandings in various cellular processes such as cell fate decisions, physiological heterogeneity or genotype-phenotype linkages. At the forefront of this, microfluidics is key for high-throughput single cell analysis. Here, we present an overview of the recent multimodal microfluidic platforms having a potential in biomedical research, with a specific focus on their potential clinical applications. Multimodal single cell analysis provides insights in cellular processes such as cell fate decisions, physiological heterogeneity or genotype-phenotype linkages. This review presents an overview of recent multimodal microfluidic platforms with potential in biomedical research.
ISSN:1473-0197
1473-0189
DOI:10.1039/d2lc00220e