NBDC Research ID: hum0500.v1
SUMMARY
Aims: In recent years, it has become apparent that there are cases where kidney function declines rapidly from the stage of microalbuminuria without high-grade proteinuria (rapid decliner), which is different from the classic course of diabetes, and this has become a problem.In addition, a new concept of diabetic kidney disease has been proposed as a more comprehensive disease concept for chronic kidney disease associated with diabetes.The factors and molecular mechanisms that determine the course of diabetic nephropathy, whether it is the classic diabetic nephropathy or the rapid decliner, are unknown.In order to develop effective diagnostic and therapeutic methods for individual cases and conditions of diabetic nephropathy patients, it is necessary to elucidate the molecular mechanisms.
Methods: single-cell RNA-seq
Participants/Materials: Male patients aged 20 to 75 years with a history of diabetes for more than 10 years, an eGFR of less than 60 mL/min/1.73m2 at their most recent outpatient visit, who were taking a RAS inhibitor but not a SGLT2 inhibitor and were scheduled to undergo a renal biopsy.
| Dataset ID | Type of Data | Criteria | Release Date |
|---|---|---|---|
| JGAS000802 | NGS (scRNA-seq) | Controlled-access (Type I) | 2026/05/15 |
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MOLECULAR DATA
| Participants/Materials |
rapid decline in diabetic kidney disease (ICD10: E142, N083): 3 cases residual samples from the renal biopsy (affected area): 3 samples |
| Targets | scRNA-seq |
| Target Loci for Capture Methods | - |
| Platform | Illumina [NextSeq 500] |
| Library Source | RNAs extracted from kidney tissues |
| Cell Lines | - |
| Library Construction (kit name) | Chromium single cell 3’ kit |
| Fragmentation Methods | - |
| Spot Type | Paired-end |
| Read Length (without Barcodes, Adaptors, Primers, and Linkers) | read1 28 bp, read2 91 bp |
| Japanese Genotype-phenotype Archive Dataset ID | JGAD000944 |
| Total Data Volume | 83.0 GB (fastq) |
| Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Hiromichi Wakui
Affiliation: Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine
Project / Group Name: Elucidating factors associated with the progression of diabetic kidney disease
Funds / Grants (Research Project Number):
| Name | Title | Project Number |
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PUBLICATIONS
| Title | DOI | Dataset ID | |
|---|---|---|---|
| 1 | |||
| 2 |
USRES (Controlled-access Data)
| Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
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