|
| Status |
Public on Dec 19, 2018 |
| Title |
3: Eutopic endometrium of the normal group |
| Sample type |
RNA |
| |
|
| Source name |
Eutopic endometrium
|
| Organism |
Homo sapiens |
| Characteristics |
tissue: Eutopic endometrium
gender: female
age: 51y
diagnosis: normal
|
| Treatment protocol |
The isolated tissues were stored in cryobiolgical inventory system in 10 minutes to avoid the total RNA extraction
|
| Extracted molecule |
total RNA |
| Extraction protocol |
RNA was extracted by Absolutely RNA miRNA Kit (Agilent p/n 400814) following the manufacturer’s instructions.
|
| Label |
Cy3
|
| Label protocol |
Cyanine-3 (Cy3) labeled cRNA was prepared from 0.5 ug RNA using the One-Color Low RNA Input Linear Amplification PLUS kit (Agilent) according to the manufacturer's instructions, followed by RNAeasy column purification (QIAGEN, Valencia, CA). Dye incorporation and cRNA yield were checked with the NanoDrop ND-1000 Spectrophotometer.
|
| |
|
| Hybridization protocol |
1.5 ug of Cy3-labelled cRNA (specific activity >10.0 pmol Cy3/ug cRNA) was fragmented at 60°C for 30 minutes in a reaction volume of 250 ml containing 1x Agilent fragmentation buffer and 2x Agilent blocking agent following the manufacturers instructions. On completion of the fragmentation reaction, 250 ml of 2x Agilent hybridization buffer was added to the fragmentation mixture and hybridized to Agilent Human miRNA Microarrays (8*60K) for 17 hours at 65°C in a rotating Agilent hybridization oven. After hybridization, microarrays were washed 1 minute at room temperature with GE Wash Buffer 1 (Agilent) and 1 minute with 37°C GE Wash buffer 2 (Agilent), then dried immediately by brief centrifugation.
|
| Scan protocol |
Slides were scanned immediately after washing on the Agilent Microarray Scanner using oneAgilentG3_miRNA setting for 8x60K array slides.
|
| Description |
MicroRNA expression of the normal group
|
| Data processing |
The scanned images were analyzed with Agilent Feature Extraction software V.11.5 using default parameters to obtain background subtracted and spatially detrended Processed Signal intensities. Features flagged in Feature Extraction as Feature Non-uniform outliers were excluded.
|
| |
|
| Submission date |
Dec 18, 2018 |
| Last update date |
Dec 19, 2018 |
| Contact name |
min juan liu |
| Organization name |
ZhuJiang Hospital of Southern Medical University
|
| Street address |
gong ye da dao No.253
|
| City |
Guangzhou |
| ZIP/Postal code |
510000 |
| Country |
China |
| |
|
| Platform ID |
GPL25134 |
| Series (1) |
| GSE124010 |
miR-205-5p Inhibits Human Endometriosis Progression by Targeting ANGTP2 in Endometrial Stromal Cells |
|
