Selection of reference genes for quantitative studies in acute myeloid leukaemia

Introduction: Quantitative polymerase chain reaction (qPCR) is commonly used in the investigation of acute myeloid leukaemias (AML). Stable reference genes (RG) are essential for accurate and reliable reporting but no standard method for selection has been endorsed. Materials andMetho...

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Main Authors: Lee, Cindee, Yiau, Stephnie Kang Xian, Lee, Jie Le, Chong, Pei Pei, Chang, Kian Meng, Abdullah, Maha
Format: Article
Language:English
Published: Malaysian Society of Pathologists 2019
Online Access:http://psasir.upm.edu.my/id/eprint/82081/
http://psasir.upm.edu.my/id/eprint/82081/1/Selection%20of%20reference%20genes%20for.pdf
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author Lee, Cindee
Yiau, Stephnie Kang Xian
Lee, Jie Le
Chong, Pei Pei
Chang, Kian Meng
Abdullah, Maha
author_facet Lee, Cindee
Yiau, Stephnie Kang Xian
Lee, Jie Le
Chong, Pei Pei
Chang, Kian Meng
Abdullah, Maha
author_sort Lee, Cindee
building UPM Institutional Repository
collection Online Access
description Introduction: Quantitative polymerase chain reaction (qPCR) is commonly used in the investigation of acute myeloid leukaemias (AML). Stable reference genes (RG) are essential for accurate and reliable reporting but no standard method for selection has been endorsed. Materials andMethods: We evaluated simple statistics and published model-based approaches. Multiplex-qPCR was conducted to determine the expression of 24 candidate RG in AMLs (N=9). Singleplex-qPCR was carried out on selected RG (SRP14, B2M and ATP5B) and genes of interest in AML (N=15) and healthy controls, HC (N=12). Results: RG expression levels in AML samples were highly variable and coefficient of variance (CV) ranged from 0.37% to 10.17%. Analysis using GeNorm and Normfinder listed different orders of most stable genes but the top seven (ACTB, UBE2D2, B2M, NF45, RPL37A, GK, QARS) were the same. In singleplex-qPCR, SRP14 maintained the lowest CV in AML samples. B2M, one of most stable reference genes in AML, was expressed near significantly different in AML and HC. GeNorm selected ATP5B+SRP14 while Normfinder chose SRP14+B2M as the best two RG in combination. The median expressions of combined RG genes in AML compared to HC were less significantly different than individually implying smaller expression variation after combination. Genes of interest normalised with RG in combination or individually, displayed significantly different expression patterns. Conclusions: The selection of best reference gene in qPCR must consider all sample sets. Model-based approaches are important in large candidate gene analysis. This study showed combination of RG SRP14+B2M was the most suitable normalisation factor for qPCR analysis of AML and healthy individuals.
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spelling upm-820812020-09-03T06:40:03Z http://psasir.upm.edu.my/id/eprint/82081/ Selection of reference genes for quantitative studies in acute myeloid leukaemia Lee, Cindee Yiau, Stephnie Kang Xian Lee, Jie Le Chong, Pei Pei Chang, Kian Meng Abdullah, Maha Introduction: Quantitative polymerase chain reaction (qPCR) is commonly used in the investigation of acute myeloid leukaemias (AML). Stable reference genes (RG) are essential for accurate and reliable reporting but no standard method for selection has been endorsed. Materials andMethods: We evaluated simple statistics and published model-based approaches. Multiplex-qPCR was conducted to determine the expression of 24 candidate RG in AMLs (N=9). Singleplex-qPCR was carried out on selected RG (SRP14, B2M and ATP5B) and genes of interest in AML (N=15) and healthy controls, HC (N=12). Results: RG expression levels in AML samples were highly variable and coefficient of variance (CV) ranged from 0.37% to 10.17%. Analysis using GeNorm and Normfinder listed different orders of most stable genes but the top seven (ACTB, UBE2D2, B2M, NF45, RPL37A, GK, QARS) were the same. In singleplex-qPCR, SRP14 maintained the lowest CV in AML samples. B2M, one of most stable reference genes in AML, was expressed near significantly different in AML and HC. GeNorm selected ATP5B+SRP14 while Normfinder chose SRP14+B2M as the best two RG in combination. The median expressions of combined RG genes in AML compared to HC were less significantly different than individually implying smaller expression variation after combination. Genes of interest normalised with RG in combination or individually, displayed significantly different expression patterns. Conclusions: The selection of best reference gene in qPCR must consider all sample sets. Model-based approaches are important in large candidate gene analysis. This study showed combination of RG SRP14+B2M was the most suitable normalisation factor for qPCR analysis of AML and healthy individuals. Malaysian Society of Pathologists 2019-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82081/1/Selection%20of%20reference%20genes%20for.pdf Lee, Cindee and Yiau, Stephnie Kang Xian and Lee, Jie Le and Chong, Pei Pei and Chang, Kian Meng and Abdullah, Maha (2019) Selection of reference genes for quantitative studies in acute myeloid leukaemia. Malaysian Journal of Pathology, 41 (3). pp. 313-326. ISSN 0126-8635
spellingShingle Lee, Cindee
Yiau, Stephnie Kang Xian
Lee, Jie Le
Chong, Pei Pei
Chang, Kian Meng
Abdullah, Maha
Selection of reference genes for quantitative studies in acute myeloid leukaemia
title Selection of reference genes for quantitative studies in acute myeloid leukaemia
title_full Selection of reference genes for quantitative studies in acute myeloid leukaemia
title_fullStr Selection of reference genes for quantitative studies in acute myeloid leukaemia
title_full_unstemmed Selection of reference genes for quantitative studies in acute myeloid leukaemia
title_short Selection of reference genes for quantitative studies in acute myeloid leukaemia
title_sort selection of reference genes for quantitative studies in acute myeloid leukaemia
url http://psasir.upm.edu.my/id/eprint/82081/
http://psasir.upm.edu.my/id/eprint/82081/1/Selection%20of%20reference%20genes%20for.pdf