|
| Status |
Public on Jun 22, 2015 |
| Title |
Normal-ovarian sample9 |
| Sample type |
RNA |
| |
|
| Source name |
Normal ovarian tissue
|
| Organism |
Homo sapiens |
| Characteristics |
tissue: normal ovary
cell type: surface epithelium
gender: female
|
| Treatment protocol |
N/A
|
| Growth protocol |
N/A
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Samples are processed in parallel in 96-well plates to minimize potential variation. Reaction purification is achieved using magnetic binding beads for cDNA and Qiagen RNeasy kits for cRNA purification.
|
| Label |
Biotin
|
| Label protocol |
The final in vitro transcription incorporates biotin moieties that are later labeled with phycoerythrin. After amplification, samples are put through a controlled fragmentation to improve hybridization sensitivity and consistency. The labeled molecules are biotinylated-cRNA.
|
| |
|
| Hybridization protocol |
GeneChip microarrays are loaded with the fragmented target sample/hybridization buffer mix using standard manual techniques. Arrays are hybridized for 18 hours at 45C with vigorous mixing. Unbound sample is removed and staining is accomplished through the binding of streptavidin-conjugated phycoerythrin to the hybridized target. Excess label is removed. Washing and staining steps are performed by the Affymetrix FS450 Fluidics Station using standard protocols.
|
| Scan protocol |
Arrays are scanned using a GeneChip Scanner 3000 7G with a 48 array autoloader. The scanner maintains the optimal temperature for the arrays prior to and during scanning.
|
| Description |
Gene expression data from normal ovarian tissue.
|
| Data processing |
Data were processed using the RMA algorithm (http://www.ncbi.nlm.nih.gov/pubmed/12582260).
|
| |
|
| Submission date |
Mar 16, 2015 |
| Last update date |
Oct 19, 2022 |
| Contact name |
Chia-Ho Cheng |
| E-mail(s) |
chia-ho.cheng@moffitt.org
|
| Organization name |
Moffitt Cancer Center
|
| Street address |
12902 USF Magnolia Drive
|
| City |
Tampa |
| ZIP/Postal code |
33647 |
| Country |
USA |
| |
|
| Platform ID |
GPL15048 |
| Series (1) |
| GSE66957 |
Pathways of ovarian cancer development |
|
