|
| Status |
Public on Feb 10, 2017 |
| Title |
Venous blood samples obtained from a patient within 24 h from the first day of diagnosis with septic AKI_3 |
| Sample type |
RNA |
| |
|
| Source name |
sepsis-induced AKI_venous blood_within 24 h
|
| Organism |
Homo sapiens |
| Characteristics |
subject diagnosed with: sepsis-induced acute kidney injury (AKI)
gender: male
age: 63y
tissue: serum
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Total RNA was isolated using TRIzol (Invitrogen) and miRNeasy mini kit (QIAGEN) according to manufacturer’s instructions, which efficiently recovered all RNA species, including miRNAs. RNA quality and quantity was measured by using nanodrop spectrophotometer (ND-1000, Nanodrop Technologies) and RNA Integrity was determined by gel electrophoresis
|
| Label |
Cy3
|
| Label protocol |
The miRCURY™ Hy3™/Hy5™ Power labeling kit (Exiqon, Vedbaek, Denmark) was used according to the manufacturer’s guideline for miRNA labelling
|
| |
|
| Hybridization protocol |
The Hy3TM-labeled samples were hybridized on the miRCURYTM LNA Array (v.18.0) (Exiqon) according to array manual
|
| Scan protocol |
The slides were scanned using the Axon GenePix 4000B microarray scanner (Axon Instruments, Foster City, CA).
|
| Description |
Gene expression within 24 h in septic AKI human blood
|
| Data processing |
Scanned images were then imported into GenePix Pro 6.0 software (Axon) for grid alignment and data extraction. Replicated miRNAs were averaged and miRNAs that intensities>=50 in all samples were chosen for calculating normalization factor. Expressed data were normalized using the Median normalization. After normalization, differentially expressed miRNAs with statistical significance were identified through Volcano Plot filtering
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| |
|
| Submission date |
Feb 09, 2017 |
| Last update date |
Feb 10, 2017 |
| Contact name |
chunmei huang |
| E-mail(s) |
[email protected]
|
| Organization name |
Department of Emergency, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
|
| Department |
Department of Emergency
|
| Street address |
No. 1665 Rd. Kongjiang
|
| City |
shanghai |
| ZIP/Postal code |
200092 |
| Country |
China |
| |
|
| Platform ID |
GPL19449 |
| Series (1) |
| GSE94717 |
Differentially expressed miRNAs in sepsis-induced acute kidney injury target oxidative stress and mitochondrial dysfunction pathways |
|
