Open AccessSingle‐cell analysis for bioprocessing
Author(s) -
Zhang Hu,
Cui Xiaolin,
Bi Jingxiu,
Dai Sheng,
Ye Haitao
Publication year - 2015
Publication title -
engineering in life sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.547
H-Index - 57
eISSN - 1618-2863
pISSN - 1618-0240
DOI - 10.1002/elsc.201400155
Subject(s) - bioprocess , single cell analysis , population , cell , computational biology , throughput , biology , computer science , genetics , paleontology , telecommunications , demography , sociology , wireless
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.