|
| Status |
Public on Nov 06, 2009 |
| Title |
MM-104_GEP |
| Sample type |
RNA |
| |
|
| Source name |
Human multiple myeloma patient MM-104
|
| Organism |
Homo sapiens |
| Characteristics |
sex: F
age at diagnosis (years): 63
stage (durie-salmon): IIIA
monoclonal component: Al
tc classification: TC4
|
| Treatment protocol |
Plasma cells were purified from bone marrow samples using CD138 immunomagnetic microbeads according to the manufacturer's instructions (MidiMACS system, Miltenyi Biotec); the purity of the positively selected PCs was assessed by morphology and flow cytometry and was > 90% in all cases.
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Trizol extraction of total RNA was performed according to the manufacturer's instructions (Gibco BRL). RNA was purified using the Rneasy Mini Kit according to the manufacturer's instruction (Qiagen).
|
| Label |
biotin
|
| Label protocol |
Biotinylated cRNA were prepared according to the standard Affymetrix protocol from 5 micrograms of total RNA (Expression Analysis Technical Manual, Affymetrix).
|
| |
|
| Hybridization protocol |
Following fragmentation, 15 micrograms of cRNA were hybridized for 16 hr and 30 minutes at 45°C on GeneChip HG-U133A Arrays. GeneChips were washed and stained in the Affymetrix Fluidics Station 450.
|
| Scan protocol |
HG-U133A arrays were scanned using the Agilent GeneArray Scanner G2500A (Affymetrix).
|
| Description |
Gene expression profiling data from human multiple myeloma patient MM-104
Same raw data (CEL file) as GSM342056
|
| Data processing |
The probe-level signals were converted to expression values using custom GeneAnnot-based Chip Annotation Files version 2.0.1 (CDF), available at the URL http://www.xlab.unimo.it/GA_CDF, and the Bioconductor function for Robust Multi-array Analysis (RMA), in which perfect match intensities are background adjusted, normalized by means of quantile-quantile normalization, and log2 transformed.
|
| |
|
| Submission date |
Aug 20, 2009 |
| Last update date |
Nov 05, 2009 |
| Contact name |
Luca Agnelli |
| E-mail(s) |
[email protected], [email protected]
|
| Phone |
+390223903581
|
| Organization name |
IRCCS Istituto Nazionale dei Tumori
|
| Department |
Department of Advanced Diagnostics
|
| Street address |
Venezian 1
|
| City |
MILAN |
| ZIP/Postal code |
20133 |
| Country |
Italy |
| |
|
| Platform ID |
GPL9021 |
| Series (1) |
| GSE17498 |
Identification of MicroRNA Expression Patterns and a MicroRNAs/mRNA Regulatory Network in Multiple Myeloma |
|
