Selecting Suitable Reference Gene for RT-qPCR Normalization in FFPE Breast Cancer Tissues for Duhok/Iraqi Women

Nowadays, with the continuously increasing advances in understanding cancer system biology.It has led to the discovery of valuable disease-specific biomarkers. Bytargeting these markers using molecular-basedtechniques a highly specific and sensitive measurements can be obtained. Molecular diagnosis through PCR-based methods and next-generation sequencing (NGS) can detect many diseases caused by DNA and RNA changes that cannot be detected through antibody-based techniques. RT-qPCR isa valuable tool in measuring biomarker’stranscriptional signature and will have a great potentialin personalized medicine or molecular diagnostics. In related gene expression analysis, using a suitable reference gene is crucial for the accurate interpretation of the results. For this reason, ref. gene should be validated for particular tissue, cell and experimental conditions. This study was conducted to identify and validate the most suitable housekeeping gene(HKG)as a reference(ref.)gene to obtain accurate normalization for AXL receptor tyrosine kinasegene expression in Formalin-Fixed Paraffin-Embedded “FFPE” of breast cancer tissues. Based on the five different statistical algorithms used, ACTB was the least variable ref. gene and -GLOBIN showed the highest variability. Norm finder, Best Keeper and the comparative ΔCt method suggested to use ACTB as a ref. gene in our experiment while geNorm suggested to use the combination of both ACTB and UBC since they had the same exact stability value. In conclusion, Reffinder suggested that ACTB had the least geomean of ranking values of the four used methods showing the least variance among the other genes and the three groups of our samples.

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Publication Details

Journal
Al-Nahrain Journal of Science
Published
2024-12-01
DOI
https://doi.org/10.22401/anjs.27.5.11
Primary Topic
Molecular Biology Techniques and Applications
Type
article
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article

Selecting Suitable Reference Gene for RT-qPCR Normalization in FFPE Breast Cancer Tissues for Duhok/Iraqi Women

Mayada Ilias Yalda, Hanaa Al-Mahmoodi, Sada S. Mohammed
Al-Nahrain Journal of Science
Molecular Biology Techniques and Applications
article

Selecting Suitable Reference Gene for RT-qPCR Normalization in FFPE Breast Cancer Tissues for Duhok/Iraqi Women

Mayada Ilias Yalda, Hanaa Al-Mahmoodi, Sada S. Mohammed
article en

Abstract

Nowadays, with the continuously increasing advances in understanding cancer system biology.It has led to the discovery of valuable disease-specific biomarkers. Bytargeting these markers using molecular-basedtechniques a highly specific and sensitive measurements can be obtained. Molecular diagnosis through PCR-based methods and next-generation sequencing (NGS) can detect many diseases caused by DNA and RNA changes that cannot be detected through antibody-based techniques. RT-qPCR isa valuable tool in measuring biomarker’stranscriptional signature and will have a great potentialin personalized medicine or molecular diagnostics. In related gene expression analysis, using a suitable reference gene is crucial for the accurate interpretation of the results. For this reason, ref. gene should be validated for particular tissue, cell and experimental conditions. This study was conducted to identify and validate the most suitable housekeeping gene(HKG)as a reference(ref.)gene to obtain accurate normalization for AXL receptor tyrosine kinasegene expression in Formalin-Fixed Paraffin-Embedded “FFPE” of breast cancer tissues. Based on the five different statistical algorithms used, ACTB was the least variable ref. gene and -GLOBIN showed the highest variability. Norm finder, Best Keeper and the comparative ΔCt method suggested to use ACTB as a ref. gene in our experiment while geNorm suggested to use the combination of both ACTB and UBC since they had the same exact stability value. In conclusion, Reffinder suggested that ACTB had the least geomean of ranking values of the four used methods showing the least variance among the other genes and the three groups of our samples.

Al-Nahrain Journal of ScienceVol. 27(5)
Openalex Percentile: Top 78%
Molecular Biology Techniques and Applications
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