|
| Status |
Public on Jun 02, 2015 |
| Title |
Liver_wt_1 |
| Sample type |
RNA |
| |
|
| Channel 1 |
| Source name |
Liver_wt
|
| Organism |
Mus musculus |
| Characteristics |
genotype: wt/wt
Sex: Male
tissue: liver
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Total RNA was extracted from mouse livers using Qiagen RNAeasy Lipid Tissue Kit with in-column DNase I treatment.
|
| Label |
Cy5
|
| Label protocol |
Total RNA was converted to double-stranded cDNA and then into Cy-dye labeled cRNA using Agilent’s Quick Amp Labeling Kit. For all samples, 750 ng of the labeled cRNA was fragmented and hybridized against Cy3-labeled Universal mouse reference.
|
| |
|
| Channel 2 |
| Source name |
Universal mouse reference (UMR) from Stratagene
|
| Organism |
Mus musculus |
| Characteristics |
sample type: pooled mouse reference RNA
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Total RNA was extracted from mouse livers using Qiagen RNAeasy Lipid Tissue Kit with in-column DNase I treatment.
|
| Label |
Cy3
|
| Label protocol |
Total RNA was converted to double-stranded cDNA and then into Cy-dye labeled cRNA using Agilent’s Quick Amp Labeling Kit. For all samples, 750 ng of the labeled cRNA was fragmented and hybridized against Cy3-labeled Universal mouse reference.
|
| |
|
| |
| Hybridization protocol |
Agilent In Situ Hybridization Kit Plus was used where Cy-dye labeled control and test samples were applied to microarrays enclosed in Agilent SureHyb-enabled hybridization chambers. After hybridization, the arrays were washed twice, dried and then scanned.
|
| Scan protocol |
Scanned on an Agilent G2505C scanner. Images were quantified using Agilent Feature Extraction Software version 10.7.
|
| Data processing |
Agilent Feature Extraction Software version 10.7 was used for background subtraction and LOWESS normalization.
|
| |
|
| Submission date |
Apr 21, 2015 |
| Last update date |
Jun 02, 2015 |
| Contact name |
Matthew Brauer |
| E-mail(s) |
brauer.matthew@gene.com
|
| Organization name |
Genentech, Inc.
|
| Department |
Bioinformatics
|
| Street address |
1 DNA Way
|
| City |
South San Francisco |
| State/province |
California |
| ZIP/Postal code |
94080 |
| Country |
USA |
| |
|
| Platform ID |
GPL7202 |
| Series (2) |
| GSE68143 |
Glucagon receptor signaling in GCGR KO mice |
| GSE68145 |
Glucagon Couples Hepatic Amino Acid Catabolism to mTOR-dependent Regulation of α-cell Mass |
|
