|
| Status |
Public on Oct 29, 2007 |
| Title |
Thoracic aorta age 28mo rep 4 |
| Sample type |
RNA |
| |
|
| Source name |
Rat thoracic aorta at age 28 mo
|
| Organism |
Rattus norvegicus |
| Characteristics |
Fischer 344/Brown Norway F1 hybrid
Thoracic Aorta from male, age 28 months
|
| Extracted molecule |
total RNA |
| Extraction protocol |
The descending thoracic aorta (1 cm) was isolated and excised from 4 rats of each age in randomized order and the tissue was preserved in RNAlater. Tissue was weighed, disrupted by using a bead homogenizer (FastPrep System®; QBIOgene, Carlsbad, CA) and total RNA was purified by using an RNeasy® Fibrous Tissue Mini Kit (Qiagen, Valencia, CA).
|
| Label |
biotin
|
| Label protocol |
Biotinylated cRNA were prepared according to the standard Affymetrix protocol from 5 ug total RNA (Expression Analysis Technical Manual, 2001, Affymetrix).
|
| |
|
| Hybridization protocol |
Following fragmentation, 10 ug of cRNA were hybridized for 17 hr at 45C on RGU34A Genome Array. GeneChips were washed and stained in the Affymetrix Fluidics Station.
|
| Scan protocol |
GeneChips were scanned using the standard Affymetrix protocol.
|
| Description |
Gene expression data form thoracic aorta
|
| Data processing |
The data were analyzed with Microarray Suite version 5.0 (MAS 5.0) using Affymetrix default analysis settings and global scaling as normalization method. The trimmed mean target intensity of each array was arbitrarily set to 1000.
|
| |
|
| Submission date |
Mar 15, 2007 |
| Last update date |
Oct 29, 2007 |
| Contact name |
Steven J Miller |
| E-mail(s) |
sjmiller@iupui.edu
|
| Phone |
317-274-2657
|
| Fax |
317-274-7334
|
| Organization name |
Indiana University School of Medicine
|
| Department |
Surgery
|
| Lab |
Vascular Research
|
| Street address |
1001 West 10th Street
|
| City |
Indianapolis |
| State/province |
IN |
| ZIP/Postal code |
46202-2879 |
| Country |
USA |
| |
|
| Platform ID |
GPL85 |
| Series (1) |
| GSE7281 |
Development of Progressive Aortic Vasculopathy in a Rat Model of Aging |
|
