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1.  Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways 
BMC Genomics  2007;8:117.
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.
doi:10.1186/1471-2164-8-117
PMCID: PMC1878486  PMID: 17493265
2.  Systematic profiling of cellular phenotypes with spotted cell microarrays reveals mating-pheromone response genes 
Genome Biology  2006;7(1):R6.
Spotted cell microarrays were developed for measuring cellular phenotypes on a large scale and used to identify genes involved in the response of yeast to mating pheromone.
We have developed spotted cell microarrays for measuring cellular phenotypes on a large scale. Collections of cells are printed, stained for subcellular features, then imaged via automated, high-throughput microscopy, allowing systematic phenotypic characterization. We used this technology to identify genes involved in the response of yeast to mating pheromone. Besides morphology assays, cell microarrays should be valuable for high-throughput in situ hybridization and immunoassays, enabling new classes of genetic assays based on cell imaging.
doi:10.1186/gb-2006-7-1-r6
PMCID: PMC1431703  PMID: 16507139

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