|
| Status |
Public on Nov 19, 2019 |
| Title |
Urinary sediment transcriptomic and longitudinal data to investigate renal function decline in type 1 diabetes |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Using a discovery/validation approach we investigated associations between a panel of genes selected from a transcriptomic study and the renal function decline across time in a cohort of type 1 diabetes patients.
|
| |
|
| Overall design |
mRNA profiles of urine sediment cells from healthy volunteers and from type 1 diabetes patients with different rates of kidney funcion decline were used to select genes with the potential do predict renal function decline
|
| |
|
| Contributor(s) |
Monteiro MB |
| Citation(s) |
32425885 |
| |
| Submission date |
Nov 18, 2019 |
| Last update date |
May 26, 2020 |
| Contact name |
Maria Beatriz Monteiro |
| E-mail(s) |
maria.monteiro@usp.br
|
| Organization name |
University of Sao Paulo Medical School
|
| Street address |
Av Dr Arnaldo 455
|
| City |
Sao Paulo |
| ZIP/Postal code |
01246 |
| Country |
Brazil |
| |
|
| Platforms (1) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
|
| Samples (10)
|
|
| Relations |
| BioProject |
PRJNA590268 |
| SRA |
SRP230455 |
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