scholarly journals Selection of Reference Genes for Quantitative Gene Expression in Porcine Mesenchymal Stem Cells Derived from Various Sources along with Differentiation into Multilineages

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Won-Jae Lee ◽  
Ryoung-Hoon Jeon ◽  
Si-Jung Jang ◽  
Ji-Sung Park ◽  
Seung-Chan Lee ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Optimal Number ◽  
Experimental Conditions ◽  
Pearson’S Correlation ◽  
Qrt Pcr ◽  
Differentiated Cells ◽  
Pearson's Correlation ◽  
Suitable Reference

The identification of stable reference genes is a prerequisite for ensuring accurate validation of gene expression, yet too little is known about stable reference genes of porcine MSCs. The present study was, therefore, conducted to assess the stability of reference genes in porcine MSCs derived from bone marrow (BMSCs), adipose (AMSCs), and skin (SMSCs) with their in vitro differentiated cells into mesenchymal lineages such as adipocytes, osteocytes, and chondrocytes. Twelve commonly used reference genes were investigated for their threshold cycle (Ct) values by qRT-PCR. The Ct values of candidate reference genes were analyzed by geNorm software to clarify stable expression regardless of experimental conditions. Thus, Pearson’s correlation was applied to determine correlation between the three most stable reference genes (NF3) and optimal number of reference genes (NFopt). In assessment of stability of reference gene across experimental conditions by geNorm analysis, undifferentiated MSCs and each differentiated status into mesenchymal lineages showed slightly different results but similar patterns about more or less stable rankings. Furthermore, Pearson’s correlation revealed high correlation (r>0.9) between NF3and NFopt. Overall, the present study showed thatHMBS,YWHAZ,SDHA, andTBPare suitable reference genes for qRT-PCR in porcine MSCs.

scholarly journals Evaluation of Reference Genes in Glenea cantor (Fabricius) by Using qRT-PCR

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1984
Author(s):  
Ran-Ran Su ◽  
Zhong-Yan Huang ◽  
Chao-Wei Qin ◽  
Xia-Lin Zheng ◽  
Wen Lu ◽  
...  
Keyword(s):  
Reference Genes ◽  
Developmental Stages ◽  
Optimal Number ◽  
Experimental Conditions ◽  
Qrt Pcr ◽  
Adult Tissues ◽  
Biological Studies ◽  
Main Host ◽  
The Stability ◽  
Suitable Reference

Kapok is the main host of Glenea cantor (Fabricius), which causes serious damage and is difficult to control. In severe cases, it often causes the kapok trees to die continuously, which seriously affects the results of urban landscaping. To provide reference for the functional research on related genes in G. cantor, we screened the stable expression of candidate reference genes at different developmental stages (i.e., eggs, larvae, pupae, and adults), in various adult tissues (i.e., head, thorax, abdomen, feet, antennae, and wings), and sexes (i.e., male pupae, female pupae, male adults, and female adults). In this study, 12 candidate reference genes (i.e., ACTINLIKE, ACTININ, TUB, RPL36, RPL32, RPS20, TBP, GAPDH, 18S rRNA, EF1A1, EF1A2, and UBQ) were evaluated using different adult tissues, developmental stages, and sexes. RefFinder, geNorm, NormFinder, and BestKeeper were used to evaluate and comprehensively analyze the stability of the expression of the candidate reference genes. The results show that RPL32 and EF1A1 were the most suitable reference genes in the different adult tissues, and RPL36 and EF1A1 were best at the different developmental stages. RPL36 and EF1A2 were the best fit for the qRT-PCR reference genes in the different sexes, while RPL36 and EF1A1 were the most appropriate qRT-PCR reference genes in all samples. Results from geNorm showed that the optimal number of reference genes was two. We also surveyed the expression of cellulase at the different developmental stages and in the different adult tissues. Results further verified the reliability of the reference genes, and confirmed the best reference genes under the different experimental conditions. This study provides a useful tool for molecular biological studies on G. cantor.

scholarly journals Selection and validation of reference genes for quantitative gene expression normalization in Taxus spp.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kaikai Zhang ◽  
Wei Fan ◽  
Duanfen Chen ◽  
Luyuan Jiang ◽  
Yunfeng Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Line ◽  
Reference Genes ◽  
Expression Patterns ◽  
Future Research ◽  
Taxus Chinensis ◽  
Experimental Conditions ◽  
Taxol Biosynthesis ◽  
Qrt Pcr ◽  
Suitable Reference

AbstractQuantitative real-time PCR (qRT-PCR) is commonly used to measure gene expression to further explore gene function, while suitable reference genes must be stably expressed under different experimental conditions to obtain accurate and reproducible data for relative quantification. Taxol or paclitaxel is an important anticancer compound mainly identified in Taxus spp. The molecular mechanism of the regulation of taxol biosynthesis is current research goal. However, in the case of Taxus spp., few reports were published on screening suitable reference genes as internal controls for qRT-PCR. Here, eight reference genes were selected as candidate reference genes for further study. Common statistical algorithms geNorm, NormFinder, BestKeeper, ΔCt, and RefFinder were used to analyze the data from samples collected from a cell line of Taxus × media under various experimental conditions and from tissues of Taxus chinensis var. mairei. The expression patterns of TcMYC under salicylic acid treatment differed significantly, with the best and worst reference genes in the cell line. This study screened out suitable reference genes (GAPDH1 and SAND) under different treatments and tissues for the accurate and reliable normalization of the qRT-PCR expression data of Taxus spp. At the same time, this study will aid future research on taxol biosynthesis-related genes expression in Taxus spp., and can also be directly used to other related species.

scholarly journals Identification of the most suitable reference gene for gene expression studies with development and abiotic stress response in Bromus sterilis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Madhab Kumar Sen ◽  
Kateřina Hamouzová ◽  
Pavlina Košnarová ◽  
Amit Roy ◽  
Josef Soukup
Keyword(s):  
Reference Gene ◽  
Herbicide Resistance ◽  
Reference Genes ◽  
Gene Selection ◽  
High Yield ◽  
Suitable Reference Gene ◽  
Grass Species ◽  
Experimental Conditions ◽  
Qrt Pcr ◽  
Suitable Reference

AbstractBromus sterilis is an annual weedy grass, causing high yield losses in winter cereals. Frequent use of herbicides had led to the evolution of herbicide resistance in this species. Mechanisms underlying herbicide resistance in B. sterilis must be uncovered because this problem is becoming a global threat. qRT-PCR and the next-generation sequencing technologies can elucidate the resistance mechanisms. Although qRT-PCR can calculate precise fold changes, its preciseness depends on the expression of reference genes. Regardless of stable expression in any given condition, no gene can act as a universal reference gene. Hence, it is necessary to identify the suitable reference gene for each species. To our knowledge, there are no reports on the suitable reference gene in any brome species so far. Thus, in this paper, the stability of eight genes was evaluated using qRT-PCR experiments followed by expression stability ranking via five most commonly used software for reference gene selection. Our findings suggest using a combination of 18S rRNA and ACCase to normalise the qRT-PCR data in B. sterilis. Besides, reference genes are also recommended for different experimental conditions. The present study outcomes will facilitate future molecular work in B. sterilis and other related grass species.

scholarly journals Comparison of Reliable Reference Genes Following Different Hormone Treatments by Various Algorithms for qRT-PCR Analysis of Metasequoia

2018 ◽  
Vol 20 (1) ◽  
pp. 34 ◽  
Author(s):  
Jing-Jing Wang ◽  
Shuo Han ◽  
Weilun Yin ◽  
Xinli Xia ◽  
Chao Liu
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Elongation Factor ◽  
Pcr Analysis ◽  
Qrt Pcr ◽  
Gene Normalization ◽  
Accurate Normalization ◽  
Suitable Reference ◽  
Different Tissues ◽  
Gene Expression Levels

Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is the most sensitive technique for evaluating gene expression levels. Choosing appropriate reference genes for normalizing target gene expression is important for verifying expression changes. Metasequoia is a high-quality and economically important wood species. However, few systematic studies have examined reference genes in Metasequoia. Here, the expression stability of 14 candidate reference genes in different tissues and following different hormone treatments were analyzed using six algorithms. Candidate reference genes were used to normalize the expression pattern of FLOWERING LOCUS T and pyrabactin resistance-like 8. Analysis using the GrayNorm algorithm showed that ACT2 (Actin 2), HIS (histone superfamily protein H3) and TATA (TATA binding protein) were stably expressed in different tissues. ACT2, EF1α (elongation factor-1 alpha) and HIS were optimal for leaves treated with the flowering induction hormone solution, while Cpn60β (60-kDa chaperonin β-subunit), GAPDH (glyceraldehyde-3-phosphate dehydrogenase) and HIS were the best reference genes for treated buds. EF1α, HIS and TATA were useful reference genes for accurate normalization in abscisic acid-response signaling. Our results emphasize the importance of validating reference genes for qRT-PCR analysis in Metasequoia. To avoid errors, suitable reference genes should be used for different tissues and hormone treatments to increase normalization accuracy. Our study provides a foundation for reference gene normalization when analyzing gene expression in Metasequoia.

scholarly journals Identification of Suitable Reference Genes for gene Expression Studies by qRT-PCR in the Blister BeetleMylabris cichorii

2014 ◽  
Vol 14 (94) ◽  
pp. 1-10 ◽  
Author(s):  
Yu Wang ◽  
Zhong-Kang Wang ◽  
Yi Huang ◽  
Yu-Feng Liao ◽  
You-Ping Yin
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Qrt Pcr ◽  
Expression Studies ◽  
Gene Expression Studies ◽  
Suitable Reference

scholarly journals Selection of suitable reference genes for qRT-PCR studies during SE initial dedifferentiation in cotton of different SE capability

2018 ◽  
Author(s):  
Cao Ai Ping ◽  
Shao Dong Nan ◽  
Cui Bai Ming ◽  
Zheng Yin Ying ◽  
Sun jie
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Gene Expression Level ◽  
Expression Level ◽  
Rna Seq ◽  
Qrt Pcr ◽  
Cotton Species ◽  
Wide Range ◽  
The Stability ◽  
Suitable Reference

Analysis of gene expression level by RNA sequencing (RNA-seq ) has a wide range of biological purposes in various species. Real-time fluorescent quantitative PCR (qRT-PCR) evaluated gene expression levels and validated transcriptomic, which will depend on the stably expressed reference genes for normalization of the gene expression level under specific situations. In this study, 15 candidate genes were selected from transcriptome datasets during somatic embryogenesis (SE) initial dedifferentiation in Gossypium hirsutum L. of different SE capability. To evaluate the stability of those genes, geNorm, NormFinder and BestKeeper were used. The results revealed that ENDO4 and 18srRNA could be as appropriate reference genes under all conditions. The stability and reliability of the reference genes were further tested through comparison of qRT-PCR results and RNA-seq data, as well as evaluation of the expression profiles of auxin-responsive protein (AUX22) and ethylene-responsive transcription factor (ERF17). In summary, the results of our study indicate the most suitable reference genes for qRT-PCR during three induction stages in four cotton species.

scholarly journals Systematic selection and validation of suitable reference genes for quantitative real-time PCR normalization studies of gene expression in Nitraria tangutorum

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bo Wang ◽  
Huirong Duan ◽  
Peifang Chong ◽  
Shiping Su ◽  
Lishan Shan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Expression Stability ◽  
Quantitative Real Time Pcr ◽  
Experimental Conditions ◽  
Nitraria Tangutorum ◽  
Multiple Species ◽  
Suitable Reference

Abstract Suitable reference genes can be used to calibrate the error in quantitative real-time PCR (qPCR) experiments, making the results more credible. However, there are no reference genes suitable for multiple species and under different experimental conditions. Nitraria tangutorum Bobr. is a typical plant native to desert areas. It is drought-resistant, saline-alkali resistant, extreme temperatures-resistant, and has strong adaptability. To date, the importance of this germplasm has not been sufficiently understood; therefore, it is still unclear which genes can be used as reference genes to calibrate qPCR data of N. tangutorum. In this study we analyzed the expression levels of 10 candidate reference genes (ACT, GAPDH, TUA, TUB, CYP, UBC, His, PP2A, HSP, and EF1-α) in N. tangutorum seedlings under a series of experimental conditions, including in different organs (root, stem, and leaf) and under abiotic stresses (salt, drought, heat, and cold) and hormone stimuli (abscisic acid) by qPCR. Three software programs (geNorm, NormFinder, and BestKeeper) were used to evaluate the expression stability of the ten genes. Comprehensive analysis showed that EF1-α and His had the best expression stability, whereas HSP was the least suitable as a reference gene. The expression profile of NtCER7, a gene related to the regulation of cuticular wax biosynthesis in N. tangutorum, verified the accuracy of the experimental results. Based on this study, we recommend EF1-α and His as suitable reference genes for N. tangutorum. This paper provides the first data on stable reference genes in N. tangutorum, which will be beneficial to studying the gene expression of N. tangutorum and other Nitraria species in the future.

Determination of Suitable Candidate Genes as Endogenous Control for Gene Expression Analysis in Local Capsicum Annuum MC11

2021 ◽  
Vol 12 (3) ◽  
pp. 1011-1017
Author(s):  
Marina Mokhtar Et.al
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Capsicum Annuum ◽  
Reference Genes ◽  
Data Normalization ◽  
Plant Parts ◽  
Qrt Pcr ◽  
Expression Studies ◽  
Gene Expression Studies ◽  
Suitable Reference

Quantitative real-time polymerase chain reaction (qRT-PCR) is one of the most common methods for gene expression studies. Data normalization based on reference genes is essential for qRT-PCR assays. This study identifies suitable reference genes for local chilli, Capsicum annuum var MC11 under incident of Cucumber mosaic virus infection. Six candidate genes actin, tub, EF1α, GAPDH, TEF1α and 18SrRNA and three validated Capsicum reference genes UBI-3 ref, β-tub ref and gapdhref were tested against five chilli plant parts stem, shoot, leave, flower and root.  The PCR/qRT-PCR results demonstrate only five candidate references genes actin, EF1α, GAPDH, 18SrRNA, and TEF1α that show specific single band of amplicon, without primer dimers and at the targeted sizes. Through qRT-PCR, GAPDH gives single peak in dissociation curve in all plant parts used further fulfilling the characteristic of reference genes.Previous work on validation of reference genes in pepper shows that only UBI-3 suits to C. annuum var MC11 infected CMV, thus we suggest that GAPDH has a potential to be a validated reference gene for C. annuum var MC11 and can be used together UBI-3 for the purpose of data normalization. 

Validation of Reference Genes for RT-qPCR in Marine Bivalve Ecotoxicology: Systematic Review and Case Study

2016 ◽  
Author(s):  
Moritz Volland ◽  
Julián Blasco ◽  
Miriam Hampel
Keyword(s):  
Reference Gene ◽  
Reference Genes ◽  
Good Practice ◽  
Optimal Number ◽  
Suitable Reference Gene ◽  
Marine Bivalve ◽  
Mrna Levels ◽  
Experimental Conditions

AbstractReverse transcription real-time quantitative PCR (RT-qPCR) is the predominant method of choice for the quantification of mRNA transcripts of a selected gene of interest. Here reference genes are commonly used to normalize non-biological variation in mRNA levels and their appropriate selection is therefore essential for the accurate interpretation the collected data. In recent years the use of multiple validated references genes has been shown to substantially increase the robustness of the normalization. It is therefore considered good practice to experimentally validate putative reference genes under specific experimental conditions, determine the optimal number of reference genes to be employed, and report the method or methods used.Under this premise, we assessed the current state of reference gene base normalization in RT-qPCR bivalve ecotoxicology studies (post 2011), employing a systematic quantitative literature review. A total of 52 papers published met our criteria and were analysed for the gene or genes used, whether they employed multiple reference genes, as well as the validation method employed. In addition we performed a case study using primary hemocytes from the marine bivalve Ruditapes philippinarum after in vitro copper exposure. Herein we further critically discuss methods for reference gene validation, including the established algorithms geNorm, NormFinder and BestKeeper, as well as the popular online tool RefFinder.We identified that RT-qPCR normalization in bivalve ecotoxicology studies is largely performed using single reference genes, while less than 40% of the studies attempted to experimentally validate the expression stability of the reference genes used. 18s rRNA and β-Actin were the most popular genes, yet their un-validated use did introduce artefactual variance that altered the interpretation of the resulting data, while the use of appropriately validated reference genes did substantially improve normalization. Our findings further suggest that combining the results from multiple individual algorithms and calculating the overall best-ranked gene, as e.g. computed by the RefFinder tool, does not by default lead to the identification of the most suitable reference gene or combination of reference genes.

Sign in / Sign up

Export Citation Format

Share Document