Literature DB >> 29474985

Optimal Reference Gene Selection for Expression Studies in Human Reticulocytes.

Anu Aggarwal1, Manu Jamwal1, Ganesh K Viswanathan1, Prashant Sharma1, ManUpdesh S Sachdeva1, Deepak Bansal2, Pankaj Malhotra3, Reena Das4.   

Abstract

Reference genes are indispensable for normalizing mRNA levels across samples in real-time quantitative PCR. Their expression levels vary under different experimental conditions and because of several inherent characteristics. Appropriate reference gene selection is thus critical for gene-expression studies. This study aimed at selecting optimal reference genes for gene-expression analysis of reticulocytes and at validating them in hereditary spherocytosis (HS) and β-thalassemia intermedia (βTI) patients. Seven reference genes (PGK1, MPP1, HPRT1, ACTB, GAPDH, RN18S1, and SDHA) were selected because of published reports. Real-time quantitative PCR was performed on reticulocytes in 20 healthy volunteers, 15 HS patients, and 10 βTI patients. Threshold cycle values were compared with fold-change method and RefFinder software. The stable reference genes recommended by RefFinder were validated with SLC4A1 and flow cytometric eosin-5'-maleimide binding assay values in HS patients and HBG2 and high performance liquid chromatography-derived percentage of hemoglobin F in βTI. Comprehensive ranking predicted MPP1 and GAPDH as optimal reference genes for reticulocytes that were not affected in HS and βTI. This was further confirmed on validation with eosin-5'-maleimide results and percentage of hemoglobin F in HS and βTI patients, respectively. Hence, MPP1 and GAPDH are good reference genes for reticulocyte expression studies compared with ACTB and RN18S1, the two most commonly used reference genes.
Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29474985     DOI: 10.1016/j.jmoldx.2018.01.009

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  5 in total

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Authors:  Aaron D Simmons; Sean P Palecek
Journal:  Tissue Eng Part C Methods       Date:  2021-05       Impact factor: 3.056

2.  Identification of optimal endogenous reference RNAs for RT-qPCR normalization in hindgut of rat models with anorectal malformations.

Authors:  Caiyun Long; Yunxia Xiao; Siying Li; Xiaobing Tang; Zhengwei Yuan; Yuzuo Bai
Journal:  PeerJ       Date:  2019-04-23       Impact factor: 2.984

3.  Selection and validation of reference genes for quantitative real-time PCR in the green microalgae Tetraselmis chui.

Authors:  Sonia Torres; Carmen Lama; Lalia Mantecón; Emmanouil Flemetakis; Carlos Infante
Journal:  PLoS One       Date:  2021-01-14       Impact factor: 3.240

4.  Selective degradation of AR-V7 to overcome castration resistance of prostate cancer.

Authors:  Yuan Liu; Cuifu Yu; Zhenlong Shao; Xiaohong Xia; Tumei Hu; Weiyao Kong; Xiaoyue He; Wenshuang Sun; Yuanfei Deng; Yuning Liao; Hongbiao Huang
Journal:  Cell Death Dis       Date:  2021-09-21       Impact factor: 8.469

5.  Selection of Reference Genes for Normalization of Real-Time PCR Data in Calliptamus italicus (Orthoptera: Acrididae) Under Different Temperature Conditions.

Authors:  Hongxia Hu; Xiaofang Ye; Han Wang; Rong Ji
Journal:  J Insect Sci       Date:  2019-11-01       Impact factor: 1.857

  5 in total

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