|
| Status |
Public on Mar 01, 2010 |
| Title |
DiFi_PHA-665752_Rep2 |
| Sample type |
RNA |
| |
|
| Source name |
DiFi, Met inhibition PHA-665752, 24h
|
| Organism |
Homo sapiens |
| Characteristics |
cell line: DiFi
cell type: colon cancer
molecular profile: EGFR amplification, KRAS wt
treatment: PHA-665752
treatment time: 24h
|
| Treatment protocol |
(i) DiFi cells: treatment with PHA-665752 (24h, 1uM) or Gefitinib (24h, 1uM), or an equivalent volume of DMSO as a control. (ii) GTL-16 cells: transduction with a lentivirus encoding for a doxycycline-inducible MET shRNA, followed by treatment with doxycycline (48h, 1ug/ml) or PHA-665752 (24h, 1uM) or Gefitinib (24h, 1uM), or an equivalent volume of DMSO as a control.
|
| Growth protocol |
Standard growth conditions.
|
| Extracted molecule |
total RNA |
| Extraction protocol |
RNA extraction was performed using Trizol plus RNA purification kit (Invitrogen). RNA qualitative and quantitative assessment was performed using the Bioanalyzer 2100 (Agilent Tecnologies).
|
| Label |
biotin
|
| Label protocol |
cRNA synthesis was performed using the Illumina TotalPrep RNA amplification kit starting from 500ng of total RNA.
|
| |
|
| Hybridization protocol |
750 ng of cRNA was hybridized on human-8 V2 for 16-20 hours. Array washing was performed using wash buffer; a high stringency temperature wash was performed at 55C for 10 minutes. Arrays were stained with SA-Cy3.
|
| Scan protocol |
The hybridized BeadChips were scanned by Illumina BeadScan scanner and analyzed by Illumina's BeadStudio version 1.5.1.3.
|
| Description |
DiFi cells treated with the Met inhibitor PHA-665752 (1uM) for 24h.
|
| Data processing |
Data were summarized and rank-invariant normalized using the Illumina Beadstudio software (ver. 1.5.1.3).
Non-normalized data is available in the 'GSE19043_non-normalized.txt' file, which is linked to the GSE19043 Series record as a supplementary file.
|
| |
|
| Submission date |
Nov 16, 2009 |
| Last update date |
Nov 16, 2009 |
| Contact name |
Enzo Medico |
| E-mail(s) |
enzo.medico@ircc.it
|
| Phone |
+39-011-9933234
|
| Organization name |
Candiolo Cancer Institute, University of Torino
|
| Department |
Oncology
|
| Lab |
Laboratory of Oncogenomics
|
| Street address |
Strada Prov. 142, km 3,95
|
| City |
Candiolo |
| State/province |
TO |
| ZIP/Postal code |
10060 |
| Country |
Italy |
| |
|
| Platform ID |
GPL5104 |
| Series (1) |
| GSE19043 |
Integrative ‘omic’ approaches identify a Ras/PI3K signature sustaining addiction to the MET oncogene |
|
