Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways
| dc.creator | Carlson, Mark W. | en |
| dc.creator | Iyer, Vishwanath R. | en |
| dc.creator | Marcotte, Edward M. | en |
| dc.date.accessioned | 2014-12-15T17:10:23Z | en |
| dc.date.available | 2014-12-15T17:10:23Z | en |
| dc.date.issued | 2007-05-10 | en |
| dc.description | Mark W. Carlson is with the Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA -- All authors are with the Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas 78712, USA | en |
| dc.description.abstract | Background: Cell lines have been used to study cancer for decades, but truly quantitative assessment of their performance as models is often lacking. We used gene expression profiling to quantitatively assess the gene expression of nine cell line models of cervical cancer. -- Results: We find a wide variation in the extent to which different cell culture models mimic late-stage invasive cervical cancer biopsies. The lowest agreement was from monolayer HeLa cells, a common cervical cancer model; the highest agreement was from primary epithelial cells, C4-I, and C4-II cell lines. In addition, HeLa and SiHa cell lines cultured in an organotypic environment increased their correlation to cervical cancer significantly. We also find wide variation in agreement when we considered how well individual biological pathways model cervical cancer. Cell lines with an anti-correlation to cervical cancer were also identified and should be avoided. -- Conclusion: Using gene expression profiling and quantitative analysis, we have characterized nine cell lines with respect to how well they serve as models of cervical cancer. Applying this method to individual pathways, we identified the appropriateness of particular cell lines for studying specific pathways in cervical cancer. This study will allow researchers to choose a cell line with the highest correlation to cervical cancer at a pathway level. This method is applicable to other cancers and could be used to identify the appropriate cell line and growth condition to employ when studying other cancers. | en |
| dc.description.catalogingnote | marcotte@intron.icmb.utexas.edu | en |
| dc.description.department | Biomedical Engineering | en |
| dc.description.department | Center for Systems and Synthetic Biology | en |
| dc.description.department | Institute for Cellular and Molecular Biology | en |
| dc.description.sponsorship | en | |
| dc.identifier.Filename | 1471-2164-8-117 | en |
| dc.identifier.citation | Carlson, Mark W., Vishwanath R. Iyer, and Edward M. Marcotte. “Quantitative Gene Expression Assessment Identifies Appropriate Cell Line Models for Individual Cervical Cancer Pathways.” BMC Genomics 8, no. 1 (May 10, 2007): 117. doi:10.1186/1471-2164-8-117. | en |
| dc.identifier.doi | doi:10.1186/1471-2164-8-117 | en |
| dc.identifier.uri | http://hdl.handle.net/2152/27875 | en |
| dc.language.iso | English | en |
| dc.publisher | BMC Genomics | en |
| dc.rights | Administrative deposit of works to UT Digital Repository: This works author(s) is or was a University faculty member, student or staff member; this article is already available through open access at http://www.biomedcentral.com. The public license is specified as CC-BY: http://creativecommons.org/licenses/by/4.0/. The library makes the deposit as a matter of fair use (for scholarly, educational, and research purposes), and to preserve the work and further secure public access to the works of the University. | en |
| dc.subject | cell line models | en |
| dc.subject | cervical cancer | en |
| dc.subject | gene expression profiling | en |
| dc.title | Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways | en |
| dc.type | Article | en |
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