Single-cell analysis for bioprocessing

Hu Zhang, Xiaolin Cui, Jingxiu Bi, Sheng Dai, Haitao Ye

Research output: Contribution to journalSpecial issue

Abstract

Cell population heterogeneity has attracted great interest for understanding the individual cellular performances in their response to external stimuli and in the production of targeted products. Physical characterization of single cells and analysis of dynamic gene expression, synthesized proteins, and cellular metabolites from one single cell are reviewed. Advanced techniques have been developed to achieve high-throughput and ultrahigh resolution or sensitivity. Single cell capture methods are discussed as well. How to make use of cellular heterogeneities for maximizing cellular productivity is still in the infant stage, and control strategies will be formulated after the causes for heterogeneity have been elucidated.

Original languageEnglish
Pages (from-to)582-592
Number of pages11
JournalEngineering in Life Sciences
Volume15
Issue number6
Early online date14 Jul 2015
DOIs
Publication statusPublished - Sep 2015

Bibliographical note

*

Keywords

  • gene expression
  • population heterogeneity
  • protein expression
  • single-cell analysis
  • single-cell isolation

Fingerprint Dive into the research topics of 'Single-cell analysis for bioprocessing'. Together they form a unique fingerprint.

  • Cite this

    Zhang, H., Cui, X., Bi, J., Dai, S., & Ye, H. (2015). Single-cell analysis for bioprocessing. Engineering in Life Sciences, 15(6), 582-592. https://doi.org/10.1002/elsc.201400155