Your browser doesn't support javascript.
loading
Single-cell assays using integrated continuous-flow microfluidics.
Ng, Ee Xien; Hsu, Myat Noe; Sun, Guoyun; Chen, Chia-Hung.
Afiliación
  • Ng EX; Biosystems and Micromechanics, Singapore-MIT Alliance for Research and Technology, Singapore.
  • Hsu MN; Biosystems and Micromechanics, Singapore-MIT Alliance for Research and Technology, Singapore.
  • Sun G; Department of Biomedical Engineering, National University of Singapore, Singapore.
  • Chen CH; Department of Biomedical Engineering, National University of Singapore, Singapore; NUS Institute for Health Innovation and Technology (iHealthtech). Electronic address: biecch@nus.edu.sg.
Methods Enzymol ; 628: 59-94, 2019.
Article en En | MEDLINE | ID: mdl-31668236
ABSTRACT
The recent maturation of continuous-flow microfluidic technologies has coincided with transformative new methods to profile single cells, including their genetic types, protein expression and enzyme activities. Continuous-flow high-throughput single-cell screening and sorting can reveal relationships across cellular phenotypes (e.g., enzyme activity and secretion) and genetic fingerprints. This technology provides unique opportunities, as well as experimental and computational challenges, for integrative approaches that can process large amounts of single-cell data. In this chapter, we discuss recent advances in integrated continuous-flow microfluidic approaches with a focus on measurements and statistical analysis of single-cell enzyme activity and their applications in quantitative biology, synthetic biology, and diagnosis.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Técnicas Analíticas Microfluídicas / Pruebas de Enzimas / Análisis de la Célula Individual Límite: Animals / Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Técnicas Analíticas Microfluídicas / Pruebas de Enzimas / Análisis de la Célula Individual Límite: Animals / Humans Idioma: En Año: 2019 Tipo del documento: Article