|
| Status |
Public on Sep 01, 2011 |
| Title |
Gene Expression Patterns that Predict Sensitivity to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Lung Cancer Cell Lines and Human Lung Tumors |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
Global gene expression data were generated from cultured non small cell lung cancer cell lines (NSCLC), normalized using MAS 5.0, filtered and used to predict response of cells to EGFR inhibition
|
| |
|
| Overall design |
Gene expression data from additional cell lines and tumors was used to validate the predictive algorithm
Total RNA was prepared from NSCLC cell lines and applied to Affymetric U133 2.0 microarrays
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| |
|
| Contributor(s) |
Balko JM, Black EP |
| Citation(s) |
17096850 |
| |
| Submission date |
Aug 24, 2011 |
| Last update date |
Aug 10, 2018 |
| Contact name |
Esther P Black |
| E-mail(s) |
penni.black@uky.edu
|
| Phone |
859-323-5898
|
| Fax |
859-257-7564
|
| Organization name |
University of Kentucky
|
| Department |
Pharmaceutical Sciences
|
| Street address |
789 S Limestone
|
| City |
Lexington |
| State/province |
KY |
| ZIP/Postal code |
40536 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL96 |
[HG-U133A] Affymetrix Human Genome U133A Array |
|
| Samples (48)
|
|
| Relations |
| BioProject |
PRJNA145541 |
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