ESBL-Transcriptomic-Data: RNA-Seq Datasets from Kidney Research

The Epithelial Systems Biology Laboratory (ESBL) at the NHLBI/NIH archives nine previously published transcriptomic datasets focused on kidney biology. The 52.2 MB ZIP file contains web architecture for accessing data from studies including RNA-seq of renal inner medullas, circadian variation in mouse proximal tubules, and transcriptomes of all 14 rat renal tubule segments. The archive was last updated on May 12, 2026, by the Knepper Lab.

Use Cases

• Identify differentially expressed genes in kidney tissue based on RNA-seq data from AVP-KO mice versus controls.
• Study circadian gene expression patterns based on RNA-seq data from mouse renal proximal tubule subsegments.
• Analyze transcriptomic consequences of gene deletions based on data from mpkCCD cells with PKA catalytic gene knockouts.
• Profile G-protein coupled receptor expression based on transcript data along the mouse renal tubule.
• Investigate drug-induced nephrogenic diabetes insipidus based on RNA-seq data from lithium-treated rat collecting ducts.

Strengths

• Archives nine distinct, previously published transcriptomic studies, providing a consolidated resource.
• Includes data from multiple model systems: mice, rats, and cultured cell lines (mpkCCD, IMCD3).
• Full documentation is included within the web architecture of the 52.2 MB ZIP file.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical needs.
• Data freshness should be verified against the source implementation page dated April 30, 2026.

Provenance

Source

Epithelial Systems Biology Laboratory (DIR, NHLBI, NIH), Knepper Lab.

Collection Method

Archival of previously published omic data.

Freshness

Last updated 2026-05-12 12:23:02