|
| Status |
Public on Feb 22, 2020 |
| Title |
Patient3-goodresponse |
| Sample type |
RNA |
| |
|
| Source name |
Tumor Tissue
|
| Organism |
Homo sapiens |
| Characteristics |
subject status: locally advanced rectal cancer (LARC) patient
gender: male
response to crt: good
tissue: rectal tumor tissue
|
| Treatment protocol |
Tissue biopsies were obtained from patients before CRT and Total RNA containing small RNA was extracted.
|
| Extracted molecule |
total RNA |
| Extraction protocol |
RNA was prepared using the TRIzol reagent following the manufacturer's recommendations. RNA was quantified using a NanoDrop-1000 spectrophotometer.
|
| Label |
Cy5-dCTP
|
| Label protocol |
cDNA labeled with a fluorescent dye (C5-dCTP) was produced by Eberwine’s linear RNA amplification method and subsequent enzymatic reaction. This procedure has been previously described, and the procedure has been improved by using CapitalBio cRNA Amplification and Labeling Kit (CapitalBio) for producing higher yields of labeled cDNA.
|
| |
|
| Hybridization protocol |
DNA in hybridization solution was denatured at 95℃ for 3 min prior to loading onto a microarray. Arrays were hybridized was preformed in a Agilent Hybridization Oven overnight at a rotation speed of 20 rpm at 42℃ and washed with two consecutive solutions (0.2% SDS, 2× SSC at 42℃ for 5 min, and 0.2× SSC for 5 min at room temperature).
|
| Scan protocol |
Scanned on an Agilent G2565CA scanner.
|
| Description |
lncRNA and Gene expression
|
| Data processing |
Feature Extraction v10.7 (Agilent Technologies, CA) software was used to extract all features of the data obtained from the scanned images and genespring software was used to analyze the raw data, which are normalized by percentile normalization.
|
| |
|
| Submission date |
Feb 21, 2020 |
| Last update date |
Feb 22, 2020 |
| Contact name |
Bing Zeng |
| E-mail(s) |
zengbing2007@163.com
|
| Organization name |
Sun Yat-sen University
|
| Department |
Department of Gastroenterology, Hernia and Abdominal Wall Surgery
|
| Street address |
Yuan Cun second road
|
| City |
GuangZhou |
| ZIP/Postal code |
510655 |
| Country |
China |
| |
|
| Platform ID |
GPL20115 |
| Series (1) |
| GSE145666 |
Long Non-coding RNA expression predictive of tumour response in patients treated with preoperative chemoradiotherapy for LARC |
|
