Literature DB >> 32648696

Technological Advances in Multiscale Analysis of Single Cells in Biomedicine.

Jacky Fong-Chuen Loo1,2, Ho Pui Ho1, Siu Kai Kong2, Tza-Huei Wang3,4, Yi-Ping Ho1,5.   

Abstract

Single-cell analysis has recently received significant attention in biomedicine. With the advances in super-resolution microscopy, fluorescence labeling, and nanoscale biosensing, new information may be obtained for the design of cancer diagnosis and therapeutic interventions. The discovery of cellular heterogeneity further stresses the importance of single-cell analysis to improve our understanding of disease mechanism and to develop new strategies for disease treatment. To this end, many studies are exploited at the single-cell level for high throughput, highly parallel, and quantitative analysis. Technically, microfluidics are also designed to facilitate single-cell isolation and enrichment for downstream detection and manipulation in a robust, sensitive, and automated manner. Further achievements are made possible by consolidating optically label-free, electrical, and molecular sensing techniques. Moreover, these technologies are coupled with computing algorithms for high throughput and automated quantitative analysis with a short turnaround time. To reflect on how the technological developments have advanced single-cell analysis, this mini-review is aimed to offer readers an introduction to single-cell analysis with a brief historical development and the recent progresses that have enabled multiscale analysis of single-cells in the last decade. The challenges and future trends are also discussed with the view to inspire forthcoming technical developments.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  biosensing; disease diagnosis; heterogeneity; microfluidics; plasmonics

Year:  2019        PMID: 32648696     DOI: 10.1002/adbi.201900138

Source DB:  PubMed          Journal:  Adv Biosyst        ISSN: 2366-7478


  1 in total

Review 1.  The study of single cells in diabetic kidney disease.

Authors:  Harmandeep Kaur; Andrew Advani
Journal:  J Nephrol       Date:  2021-01-21       Impact factor: 3.902

  1 in total

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