|
| Status |
Public on Jun 30, 2014 |
| Title |
C16 - Zn-inducible p53 without vs. with constitutive IMPDH II |
| Sample type |
RNA |
| |
|
| Channel 1 |
| Source name |
tC-2: Asymmetrically self-renewing
|
| Organism |
Mus musculus |
| Characteristics |
cell type: Vector-transfected Ind-8 Zn-inducible p53 MEFs
|
| Treatment protocol |
With 65 micromolar ZnCl2
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Trizol reagent
|
| Label |
Cy3
|
| Label protocol |
MIT BioMicro Centre
|
| |
|
| Channel 2 |
| Source name |
tI-3: Symmetrically self-renewing (with p53 expression)
|
| Organism |
Mus musculus |
| Characteristics |
cell type: IMPDH II-transfected Ind-8 Zn-inducible p53 MEFs
|
| Treatment protocol |
With 65 micromolar ZnCl2
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Trizol reagent
|
| Label |
Cy5
|
| Label protocol |
MIT BioMicro Centre
|
| |
|
| |
| Hybridization protocol |
MIT BioMicro Centre
|
| Scan protocol |
Arrayworx Biochip Reader
|
| Data processing |
A gene was selected for data analyses only if the mean value of foreground pixels of the spot was greater than the sum of the mean and two standard deviations of the background pixels. For individual gene probe spots, the expression intensities of Cy5 and Cy3 channels were estimated by subtracting mean backgrounds from mean foregrounds.
The ratios of the final gene expression intensities for the asymmetrically self-renewing states to the respective symmetrically self-renewing states were calculated (log10 ratio of [asym/sym]). These ratio values were used for sparse feature selection.
DigitalGenome software (v.1.0)
|
| |
|
| Submission date |
Aug 16, 2012 |
| Last update date |
Jun 30, 2014 |
| Contact name |
Dave Winkler |
| E-mail(s) |
dave.winkler@csiro.au
|
| Phone |
+61 3 9545 2477
|
| Organization name |
CSIRO
|
| Street address |
bayview ave
|
| City |
clayton |
| ZIP/Postal code |
3168 |
| Country |
Australia |
| |
|
| Platform ID |
GPL15953 |
| Series (1) |
| GSE40183 |
Novel biomarkers for distributed stem cells: asymmetric self-renewal associated (ASRA) genes identification by combined cDNA micro-array orthogonal intersection and sparse feature analysis |
|
