Related Experiment Videos
Gene expression variance based on random sequencing in rat remnant kidney
Naoshi Horiba1, Satohiro Masuda, Ayako Takeuchi
1Department of Pharmacy, Kyoto University Hospital, Faculty of Medicine, Kyoto University, Sakyo-ku, Kyoto, Japan.
Kidney International
|June 18, 2004
Summary
Researchers created a digital gene expression database for chronic renal failure in rats. This database identifies key genes altered in kidney disease, aiding future research into its molecular mechanisms.
Area of Science:
- Molecular Biology
- Renal Physiology
- Bioinformatics
Background:
- Chronic renal failure (CRF) research often uses 5/6 nephrectomized rat models.
- Advanced molecular expression techniques can elucidate progressive renal failure mechanisms.
Purpose of the Study:
- To construct a subtractive mRNA expression database for 5/6 nephrectomized rat kidneys.
- To identify genes differentially expressed in progressive renal failure.
Main Methods:
- Digital expression profiling of 5/6 nephrectomized and sham-operated rat kidney cDNA libraries.
- In silico subtractive analysis to identify up- and down-regulated genes.
- Validation of identified gene expression using Northern blotting and immunoblotting.
Main Results:
- Growth factor-related and cytoskeletal/membrane protein mRNAs were upregulated.
- Transporter-related mRNAs were downregulated in the nephrectomized kidneys.
- In silico analysis identified 63 increased and 59 decreased mRNAs, with validation confirming accuracy. Five novel genes were also identified.
Conclusions:
- A subtractive mRNA expression database for 5/6 nephrectomized kidneys was successfully created.
- The database accurately reflects mRNA expression changes post-subtotal nephrectomy.
- This resource is valuable for understanding the molecular basis of progressive renal failure.