scholarly journals Validation of internal reference genes for relative quantitation studies of gene expression in human laryngeal cancer

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2763 ◽  
Author(s):  
Xiaofeng Wang ◽  
Jinting He ◽  
Wei Wang ◽  
Ming Ren ◽  
Sujie Gao ◽  
...  

BackgroundThe aim of this study was to determine the expression stabilities of 12 common internal reference genes for the relative quantitation analysis of target gene expression performed by reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) in human laryngeal cancer.MethodsHep-2 cells and 14 laryngeal cancer tissue samples were investigated. The expression characteristics of 12 internal reference gene candidates (18S rRNA, GAPDH, ACTB, HPRT1, RPL29, HMBS, PPIA, ALAS1, TBP, PUM1, GUSB, and B2M) were assessed by RT-qPCR. The data were analyzed by three commonly used software programs: geNorm, NormFinder, and BestKeeper.ResultsThe use of the combination of four internal reference genes was more appropriate than the use of a single internal reference gene. The optimal combination was PPIA + GUSB + RPL29 + HPRT1 for both the cell line and tissues; while the most appropriate combination was GUSB + RPL29 + HPRT1 + HMBS for the tissues.ConclusionsOur recommended internal reference genes may improve the accuracy of relative quantitation analysis of target gene expression performed by the RT-qPCR method in further gene expression research on laryngeal tumors.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zheng Wang ◽  
Qianqian Meng ◽  
Xi Zhu ◽  
Shiwei Sun ◽  
Aiqin Liu ◽  
...  

Abstract Diaphania caesalis (Walker) is an important boring insect mainly distributed in subtropical and tropical areas and attacked tropical woody grain crops, such as starchy plants of Artocarpus. Quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful approach for investigating target genes expression profiles at the transcriptional level. However, the identification and selection of internal reference genes, which is often overlooked, is the most vital step before the analysis of target gene expression by qRT-PCR. So far, the reliable internal reference genes under a certain condition of D. caesalis have not been investigated. Therefore, this study evaluated the expression stability of eight candidate reference genes including ACT, β-TUB, GAPDH, G6PDH, RPS3a, RPL13a, EF1α, and EIF4A in different developmental stages, tissues and sexes using geNorm, NormFinder and BestKeeper algorithms. To verify the stability of the recommended internal reference genes, the expression levels of DcaeOBP5 were analyzed under different treatment conditions. The results indicated that ACT, RPL13a, β-TUB, RPS3a, and EF1α were identified as the most stable reference genes for further studies on target gene expression involving different developmental stages of D. caesalis. And ACT and EIF4A were recommended as stable reference genes for different tissues. Furthermore, ACT, EF1α, and RPS3a were ranked as the best reference genes in different sexes based on three algorithms. Our research represents the critical first step to normalize qRT-PCR data and ensure the accuracy of expression of target genes involved in phylogenetic and physiological mechanism at the transcriptional level in D. caesalia.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6834
Author(s):  
Teizhu Yang ◽  
Bingning Gu ◽  
Guolyu Xu ◽  
Yanmei Shi ◽  
Heding Shen ◽  
...  

Real-time quantitative reverse transcription-PCR (qRT-PCR) is an undeniably effective tool for measuring levels of gene expression, but the accuracy and reliability of the statistical data obtained depend mainly on the basal expression of selected housekeeping genes in many samples. To date, there have been few analyses of stable housekeeping genes in Onchidium reevesii under salinity stress and injury. In this study, the gene expression stabilities of seven commonly used housekeeping genes, CYC, RPL28S, ACTB, TUBB, EF1a, Ubiq and 18S RNA, were investigated using BestKeeper, geNorm, NormFinder and RefFinfer. Although the results of the four programs varied to some extent, in general, RPL28S, TUBB, ACTB and EF1a were ranked highly. ACTB and TUBB were found to be the most stable housekeeping genes under salinity stress, and EF1a plus TUBB was the most stable combination under injury stress. When analysing target gene expression in different tissues, RPL28S or EF1a should be selected as the reference gene according to the level of target gene expression. Under extreme environmental stress (salinity) conditions, ACTB (0 ppt, 5 ppt, 15 ppt, 25 ppt) and TUBB (35 ppt) are reasonable reference gene choices when expression stability and abundance are considered. Under conditions of 15 ppt salinity and injury stress, our results showed that the best two-gene combination was TUBB plus EF1a. Therefore, we suggest that RPL28S, ACTB and TUBB are suitable reference genes for evaluating mRNA transcript levels. Based on candidate gene expression analysis, the tolerance of O. reevesii to low salinity (low osmotic pressure) is reduced compared to its tolerance to high salinity (high osmotic pressure). These findings will help researchers obtain accurate results in future quantitative gene expression analyses of O. reevesii under other stress conditions.


2021 ◽  
Author(s):  
Haixia Zhu ◽  
Yongqiang Ma ◽  
Liang Cheng

Abstract In order to construct a RT-qPCR system suitable for response of Avena fatua L. to Trichoderma polysporum , and screen stable internal reference genes, GeNorm, NormFinder, BestKeeper and RefFinde were used to perform SYBR Green-based RT-qPCR analysis on 8 candidate internal reference genes ( 18S , 28S , TUA , UBC , ACT , GAPDH , TBP and EF-1 ) in A. fatua samples after inoculation of T. polysporum Strain HZ-31. The results showed that TBP , 18S and UBC were the most stable internal reference genes, TBP and TUA , TBP and GAPDH , 18S and TBP , UBC and 18S were the most suitable combination of the two internal reference genes, which could be used as the internal reference genes for functional gene expression analysis during the interaction between T. polysporum and A. fatua .


2021 ◽  
Vol 12 ◽  
Author(s):  
Zhongxu Zhu ◽  
Keqin Gregg ◽  
Wenli Zhou

BackgroundAppropriate reference genes are critical to accurately quantifying relative gene expression in research and clinical applications. Numerous efforts have been made to select the most stable reference gene(s), but a consensus has yet to be achieved. In this report, we propose an in silico reference gene validation method, iRGvalid, that can be used as a universal tool to validate the reference genes recommended from different resources so as to identify the best ones without a need for any wet lab validation tests.MethodsiRGvalid takes advantage of high throughput gene expression data and is built on a double-normalization strategy. First, the expression level of each individual gene is normalized against the total gene expression level of each sample, followed by a target gene normalization to the candidate reference gene(s). Linear regression analysis is then performed between the pre- and post- normalized target gene across the whole sample set to evaluate the stability of the reference gene(s), which is positively associated with the Pearson correlation coefficient, Rt. The higher the Rt value, the more stable the reference gene. We applied iRGvalid to 14 candidate reference genes to validate and identify the most stable reference genes in four cancer types: lung adenocarcinoma, breast cancer, colon adenocarcinoma, and nasopharyngeal cancer. The stability of the reference gene is evaluated both individually and in groups of all possible combinations.ResultsHighly stable reference genes resulted in high Rt values regardless of the target gene used. The highest stability was achieved with a specific combination of 3 to 6 reference genes. A few genes were among the best reference genes across the cancer types studied here.ConclusioniRGvalid provides an easy and robust method to validate and identify the most stable reference gene or genes from a pool of candidate reference genes. The inclusivity of large expression data sets as well as the direct comparison of candidate reference genes makes it possible to identify reference genes with universal quality. This method can be used in any other gene expression studies when large cohorts of expression data are available.


2013 ◽  
Vol 1 (2) ◽  
pp. 193-196 ◽  
Author(s):  
YASUHIRO NIHON-YANAGI ◽  
KENSUKE TERAI ◽  
TAKEYOSHI MURANO ◽  
TAKAYUKI KAWAI ◽  
SHINYA KIMURA ◽  
...  

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