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A Checklist for Successful Quantitative Live Cell Imaging in Systems Biology

Authors :
Myong-Hee Sung
Source :
Cells, Vol 2, Iss 2, Pp 284-293 (2013)
Publication Year :
2013
Publisher :
MDPI AG, 2013.

Abstract

Mathematical modeling of signaling and gene regulatory networks has provided unique insights about systems behaviors for many cell biological problems of medical importance. Quantitative single cell monitoring has a crucial role in advancing systems modeling of molecular networks. However, due to the multidisciplinary techniques that are necessary for adaptation of such systems biology approaches, dissemination to a wide research community has been relatively slow. In this essay, I focus on some technical aspects that are often under-appreciated, yet critical in harnessing live cell imaging methods to achieve single-cell-level understanding and quantitative modeling of molecular networks. The importance of these technical considerations will be elaborated with examples of successes and shortcomings. Future efforts will benefit by avoiding some pitfalls and by utilizing the lessons collectively learned from recent applications of imaging in systems biology.

Details

Language :
English
ISSN :
20734409
Volume :
2
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Cells
Publication Type :
Academic Journal
Accession number :
edsdoj.95af90826dd649dfa0abee5f41809bf7
Document Type :
article
Full Text :
https://doi.org/10.3390/cells2020284