» Articles » PMID: 25310091

Expressed Repeat Elements Improve RT-qPCR Normalization Across a Wide Range of Zebrafish Gene Expression Studies

Overview
Journal PLoS One
Date 2014 Oct 14
PMID 25310091
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

The selection and validation of stably expressed reference genes is a critical issue for proper RT-qPCR data normalization. In zebrafish expression studies, many commonly used reference genes are not generally applicable given their variability in expression levels under a variety of experimental conditions. Inappropriate use of these reference genes may lead to false interpretation of expression data and unreliable conclusions. In this study, we evaluated a novel normalization method in zebrafish using expressed repetitive elements (ERE) as reference targets, instead of specific protein coding mRNA targets. We assessed and compared the expression stability of a number of EREs to that of commonly used zebrafish reference genes in a diverse set of experimental conditions including a developmental time series, a set of different organs from adult fish and different treatments of zebrafish embryos including morpholino injections and administration of chemicals. Using geNorm and rank aggregation analysis we demonstrated that EREs have a higher overall expression stability compared to the commonly used reference genes. Moreover, we propose a limited set of ERE reference targets (hatn10, dna15ta1 and loopern4), that show stable expression throughout the wide range of experiments in this study, as strong candidates for inclusion as reference targets for qPCR normalization in future zebrafish expression studies. Our applied strategy to find and evaluate candidate expressed repeat elements for RT-qPCR data normalization has high potential to be used also for other species.

Citing Articles

Bone cell differentiation and mineralization in wild-type and osteogenesis imperfecta zebrafish are compromised by per- and poly-fluoroalkyl substances (PFAS).

Tonelli F, Masiero C, Aresi C, Torriani C, Villani S, Premoli G Sci Rep. 2025; 15(1):2295.

PMID: 39825095 PMC: 11748624. DOI: 10.1038/s41598-025-85967-3.


Crispant analysis in zebrafish as a tool for rapid functional screening of disease-causing genes for bone fragility.

Debaenst S, Jarayseh T, De Saffel H, Bek J, Boone M, Josipovic I Elife. 2025; 13.

PMID: 39817421 PMC: 11737869. DOI: 10.7554/eLife.100060.


Zebrafish Tric-b is required for skeletal development and bone cells differentiation.

Tonelli F, Leoni L, Daponte V, Gioia R, Cotti S, Fiedler I Front Endocrinol (Lausanne). 2023; 14:1002914.

PMID: 36755921 PMC: 9899828. DOI: 10.3389/fendo.2023.1002914.


A tapt1 knock-out zebrafish line with aberrant lens development and impaired vision models human early-onset cataract.

Jarayseh T, Guillemyn B, De Saffel H, Bek J, Syx D, Symoens S Hum Genet. 2023; 142(3):457-476.

PMID: 36697720 DOI: 10.1007/s00439-022-02518-w.


Structure, evolution and expression of zebrafish cartilage oligomeric matrix protein (COMP, TSP5). CRISPR-Cas mutants show a dominant phenotype in myosepta.

Forte-Gomez H, Gioia R, Tonelli F, Kobbe B, Koch P, Bloch W Front Endocrinol (Lausanne). 2022; 13:1000662.

PMID: 36452329 PMC: 9702538. DOI: 10.3389/fendo.2022.1000662.


References
1.
Dheda K, Huggett J, Chang J, Kim L, Bustin S, Johnson M . The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization. Anal Biochem. 2005; 344(1):141-3. DOI: 10.1016/j.ab.2005.05.022. View

2.
McCurley A, Callard G . Characterization of housekeeping genes in zebrafish: male-female differences and effects of tissue type, developmental stage and chemical treatment. BMC Mol Biol. 2008; 9:102. PMC: 2588455. DOI: 10.1186/1471-2199-9-102. View

3.
Jurka J, Kapitonov V, Pavlicek A, Klonowski P, Kohany O, Walichiewicz J . Repbase Update, a database of eukaryotic repetitive elements. Cytogenet Genome Res. 2005; 110(1-4):462-7. DOI: 10.1159/000084979. View

4.
Pihur V, Datta S, Datta S . RankAggreg, an R package for weighted rank aggregation. BMC Bioinformatics. 2009; 10:62. PMC: 2669484. DOI: 10.1186/1471-2105-10-62. View

5.
Tricarico C, Pinzani P, Bianchi S, Paglierani M, Distante V, Pazzagli M . Quantitative real-time reverse transcription polymerase chain reaction: normalization to rRNA or single housekeeping genes is inappropriate for human tissue biopsies. Anal Biochem. 2002; 309(2):293-300. DOI: 10.1016/s0003-2697(02)00311-1. View