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An identified cell line was used for FlpE-catalyzed RCME.
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We identified cell lines with high and low expression levels of MLK4 in all subtypes of breast cancer cell lines (Fig. 2a, b and Supplementary Fig. 3).
FISH and real-time PCR analysis identified cell lines with reduced or increased copy number spanning the entire parkin locus.
We have identified cell lines which have upregulation of the 6-gene signature found in VDAC1 overexpressing NSCLC.
However, we identified cell line-specific effects on the expression levels of ER and the tumour suppressor PTEN.
Using nutlin-3a (a small molecule that activates p53 without causing DNA damage), we have previously identified cell lines in which nutlin-3a caused quiescence.
Using gene expression profiling Lehmann et al. have defined 6 TNBC subtypes and identified cell lines that can serve as models for these subtypes [ 15].
We identified cell lines with low/negative (ECC1, HEC1A, EN1, MFE 296) or high expression (HEC1B, SPAC1L) at the mRNA level.
We applied the algorithm to three major tumor types: non-small cell lung carcinoma (NSCLC), colorectal carcinoma (CRC), and malignant melanoma, identified distinct genomic subtypes for each cancer, and identified cell lines representative of each subtype.
Li, B. et al. Development of a drug-response modeling framework to identify cell line derived translational biomarkers that can predict treatment outcome to erlotinib or sorafenib.
In summary, transcriptional and genomic profiling of 52 commonly used breast cancer cell lines identifies cell line subtypes, and defines the cell line subtypes that most faithfully capture the known heterogeneity of breast tumors.
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