Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Apr 17.
doi: 10.1007/s10528-025-11105-3. Online ahead of print.

Identification of Stable Housekeeping Genes for miRNA Expression Studies in a Mouse Unilateral Ureteral Obstruction Model

Affiliations

Identification of Stable Housekeeping Genes for miRNA Expression Studies in a Mouse Unilateral Ureteral Obstruction Model

Bruno Aristides Dos Santos Bronel et al. Biochem Genet. .

Abstract

Recently, several studies have aimed to establish the role of microRNAs (miRNAs) in the unilateral ureteral obstruction (UUO) model. Therefore, it is essential to identify the best housekeeping genes (HKG) to correctly estimate the expression levels of miRNAs. The present study aimed to identify suitable HKG to normalize the expression of miRNAs by RT-qPCR in kidney samples from the UUO mice model. We analyzed the stability of twelve endogenous reference genes of small non-coding RNAs (Snord61, Snord68, Snord72, Snord95, Snord96a, U6, let-7e-5p, let-7i-3p, miR-15b-5p, miR-16a-5p, miR-26a-5p, and miR-30c-5p) by using four software packages: NormFinder, GeNorm, ΔCt method, and BestKeeper. The optimal number of genes was calculated using GenEx software analysis. To validate the best HKG, we normalized the expression of miR-18a-5p, miR-21a-3p, and miR-29b-3p. In silico analysis revealed that Snord61, Snord68, and Snord72 were the most stable HKG between the groups. Using GenEX software and Pearson's correlation, we determined that the combination of Snord61 and Snord68 or the combination of Snord68 and Snord72, provided the best HKG association. These results along with the correlation analyses establish that the association of Snord68 and Snord72 is the best choice for miRNA expression analysis by RT-qPCR in the UUO model.

Keywords: Gene expression analysis; Housekeeping genes; Renal fibrosis; Unilateral ureteral obstruction model; miRNAs.

PubMed Disclaimer

Conflict of interest statement

Declarations. Conflict of interests: The authors declare no competing interests. Ethical Approval: All animal experiments were approved by the Ethics in Research Committee of the Federal University of São Paulo (CEUA number 7100260319) and were performed in accordance with relevant guidelines and regulations. All methods were carried out in accordance with the Animal Research: Reporting of In Vivo Experiments guidelines (ARRIVE guidelines (found at https://arriveguidelines.org )).

Similar articles

References

    1. Ban E, Song EJ (2022) Considerations and suggestions for the reliable analysis of miRNA in plasma using qRT-PCR. Genes (Basel). https://doi.org/10.3390/genes13020328 - DOI - PubMed - PMC
    1. Bharti N, Agrawal V, Kamthan S, Prasad N, Agarwal V (2023) Blood TGF-β1 and miRNA-21–5p levels predict renal fibrosis and outcome in IgA nephropathy. Int Urol Nephrol. https://doi.org/10.1007/s11255-023-03464-w - DOI - PubMed - PMC
    1. Bi L, Huang Y, Li J, Yang X, Hou G, Zhai P, Zhang Q, Alhaji AA, Yang Y, Liu B (2022) Pirfenidone attenuates renal tubulointerstitial fibrosis through inhibiting miR-21. Nephron 146:110–120. https://doi.org/10.1159/000519495 - DOI - PubMed
    1. Bignotti E, Calza S, Tassi RA, Zanotti L, Bandiera E, Sartori E, Odicino FE, Ravaggi A, Todeschini P, Romani C (2016) Identification of stably expressed reference small non-coding RNAs for microRNA quantification in high-grade serous ovarian carcinoma tissues. J Cell Mol Med 20:2341–2348. https://doi.org/10.1111/jcmm.12927 - DOI - PubMed - PMC
    1. Bijkerk R, de Bruin RG, van Solingen C, van Gils JM, Duijs JM, van der Veer EP, Rabelink TJ, Humphreys BD, van Zonneveld AJ (2016) Silencing of microRNA-132 reduces renal fibrosis by selectively inhibiting myofibroblast proliferation. Kidney Int 89:1268–1280. https://doi.org/10.1016/j.kint.2016.01.029 - DOI - PubMed

LinkOut - more resources