Assessment of reference genes for reliable analysis of gene transcription by RT-qPCR in ovine leukocytes

被引:12
|
作者
Mahakapuge, T. A. N. [1 ]
Scheerlinck, J-P Y. [1 ]
Rojas, C. A. Alvarez [1 ]
Every, A. L. [1 ]
Hagen, J. [1 ,2 ]
机构
[1] Univ Melbourne, Fac Vet & Agr Sci, Ctr Anim Biotechnol, Melbourne, Vic 3010, Australia
[2] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, London SW7 2AZ, England
关键词
Efferent lymph; PBMCs; Reference genes; RT-qPCR; geNorm; Norm Finder; PCR DATA; RELATIVE QUANTIFICATION; QUANTITATIVE PCR; MESSENGER-RNA; SHEEP; EXPRESSION; NORMALIZATION; CYTOKINES; MODEL;
D O I
10.1016/j.vetimm.2015.10.010
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
With the availability of genetic sequencing data, quantitative reverse transcription PCR (RT-qPCR) is increasingly being used for the quantification of gene transcription across species. Too often there is little regard to the selection of reference genes and the impact that a poor choice has on data interpretation. Indeed, RT-qPCR provides a snapshot of relative gene transcription at a given time-point, and hence is highly dependent on the stability of the transcription of the reference gene(s). Using ovine efferent lymph cells and peripheral blood mono-nuclear cells (PBMCs), the two most frequently used leukocytes in immunological studies, we have compared the stability of transcription of the most commonly used ovine reference genes: YWHAZ, RPL-13A, PGK1, B2M, GAPDH, HPRT, SDHA and ACTB. Using established algorithms for reference gene normalization "geNorm" and "Norm Finder", PGK1, GAPDH and YWHAZ were deemed the most stably transcribed genes for efferent leukocytes and PGK1, YWHAZ and SDHA were optimal in PBMCs. These genes should therefore be considered for accurate and reproducible RT-qPCR data analysis of gene transcription in sheep. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [21] Assessment of suitable reference genes for RT-qPCR studies in chronic rhinosinusitis
    Nakayama, Tsuguhisa
    Okada, Naoko
    Yoshikawa, Mamoru
    Asaka, Daiya
    Kuboki, Akihito
    Kojima, Hiromi
    Tanaka, Yasuhiro
    Haruna, Shin-ichi
    SCIENTIFIC REPORTS, 2018, 8
  • [22] IDENTIFICATION OF REFERENCE GENES FOR GENE EXPRESSION ANALYSIS USING RT-QPCR IN PINELLIA TERNATA
    Zhang, H.
    Zhang, W.
    Wei, S.
    Xiong, Y.
    Meng, X.
    Zhang, Z.
    Duan, Y.
    Sheng, W.
    Xue, T.
    Xue, J.
    JOURNAL OF ANIMAL AND PLANT SCIENCES-JAPS, 2023, 33 (03): : 612 - 619
  • [23] Evaluation of reference genes for RT-qPCR gene expression analysis in Arabidopsis thaliana exposed to elevated temperatures
    Skiljaica, A.
    Jagic, M.
    Vuk, T.
    Levanic, D. Leljak
    Bauer, N.
    Markulin, L.
    PLANT BIOLOGY, 2022, 24 (02) : 367 - 379
  • [24] Identification of Reference Genes for RT-qPCR Expression Analysis in Arabidopsis and Tomato Seeds
    Dekkers, Bas J. W.
    Willems, Leo
    Bassel, George W.
    van Bolderen-Veldkamp, R. P.
    Ligterink, Wilco
    Hilhorst, Henk W. M.
    Bentsink, Leonie
    PLANT AND CELL PHYSIOLOGY, 2012, 53 (01) : 28 - 37
  • [25] Validation of reference genes for RT-qPCR analysis in Burkholderia pyrrocinia JK-SH007
    Wu, Bin-Yan
    Ye, Jian-Ren
    Huang, Lin
    He, Ling-Min
    Li, De-Wei
    JOURNAL OF MICROBIOLOGICAL METHODS, 2017, 132 : 95 - 98
  • [26] Assessment of Candidate Reference Genes for Gene Expression Studies Using RT-qPCR in Colletotrichum fructicola from Litchi
    Dong, Dingming
    Huang, Rong
    Hu, Yuzhuan
    Yang, Xinyan
    Xu, Dagao
    Jiang, Zide
    GENES, 2023, 14 (12)
  • [27] Selection of reference genes for RT-qPCR analysis in Trichogramma chilonis (Hymenoptera: Trichogrammatidae)
    Xie, Lian-Cheng
    Tian, Jun-Ce
    Lu, Yan-Hui
    Xu, Hong-Xing
    Zang, Lian-Sheng
    Lu, Zhong-Xian
    Jin, Lin-Hong
    JOURNAL OF ASIA-PACIFIC ENTOMOLOGY, 2021, 24 (03) : 679 - 687
  • [28] Identification and Validation of Reference Genes for RT-qPCR Analysis in Switchgrass under Heavy Metal Stresses
    Zhao, Junming
    Zhou, Man
    Meng, Yu
    GENES, 2020, 11 (05)
  • [29] Selection of reference genes for RT-qPCR analysis in developing chicken embryonic ovary
    Wang, Yi
    Zhang, Yu-Qing
    Wu, Zi-Wei
    Fang, Ting
    Wang, Fang
    Zhao, Han
    Du, Zhi-Qiang
    Yang, Cai-Xia
    MOLECULAR BIOLOGY REPORTS, 2023, 50 (04) : 3379 - 3387
  • [30] Suitable reference genes for RT-qPCR analysis inDichelops melacanthus(Hemiptera: Pentatomidae)
    Pinheiro, Daniele Heloisa
    Moreira, Raquel Oliveira
    Leite, Natalia Alves
    Redoan, Ana Carolina
    Xavier, Andre da Silva
    Barros, Beatriz de Almeida
    Carneiro, Newton Portilho
    MOLECULAR BIOLOGY REPORTS, 2020, 47 (07) : 4989 - 5000