This article is a U.S. Government work, and, as such, is in the public domain in the United States of America.
Cell Culture and Tissue Engineering
Quantitative methods to characterize morphological properties of cell lines†
Article first published online: 26 JUN 2012
DOI: 10.1002/btpr.1564
Published 2012 American Institute of Chemical Engineers (AIChE)
Additional Information
How to Cite
Mancia, A., Elliott, J. T., Halter, M., Bhadriraju, K., Tona, A., Spurlin, T. A., Middlebrooks, B. L., Baatz, J. E., Warr, G. W. and Plant, A. L. (2012), Quantitative methods to characterize morphological properties of cell lines. Biotechnol Progress, 28: 1069–1078. doi: 10.1002/btpr.1564
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Publication History
- Issue published online: 7 AUG 2012
- Article first published online: 26 JUN 2012
- Accepted manuscript online: 23 MAY 2012 01:31AM EST
- Manuscript Revised: 23 MAR 2012
- Manuscript Received: 29 DEC 2011
Funded by
- National Science Foundation
Keywords:
- cell line;
- quantitative biology;
- cell phenotype;
- morphology;
- cell volume distribution;
- population dynamics
Abstract
Descriptive terms are often used to characterize cells in culture, but the use of nonquantitative and poorly defined terms can lead to ambiguities when comparing data from different laboratories. Although recently there has been a good deal of interest in unambiguous identification of cell lines via their genetic markers, it is also critical to have definitive, quantitative metrics to describe cell phenotypic characteristics. Quantitative metrics of cell phenotype will aid the comparison of data from experiments performed at different times and in different laboratories where influences such as the age of the population and differences in culture conditions or protocols can potentially affect cellular metabolic state and gene expression in the absence of changes in the genetic profile. Here, we present examples of robust methodologies for quantitatively assessing characteristics of cell morphology and cell–cell interactions, and of growth rates of cells within the population. We performed these analyses with endothelial cell lines derived from dolphin, bovine and human, and with a mouse fibroblast cell line. These metrics quantify some characteristics of these cells lines that clearly distinguish them from one another, and provide quantitative information on phenotypic changes in one of the cell lines over large number of passages. Published 2012 American Institute of Chemical Engineers Biotechnol. Prog., 28: 1069–1078, 2012

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