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

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.

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Tissue-specific evaluation of suitable reference genes for RT-qPCR in the pond snail, Lymnaea stagnalis

10.7287/peerj.preprints.27695 ◽

2019 ◽

Author(s):

Alexander P Young ◽

Carmen F Landry ◽

Daniel J Jackson ◽

Russell C Wyeth

Keyword(s):

Gene Expression ◽

Reference Genes ◽

Lymnaea Stagnalis ◽

Elongation Factor ◽

Pond Snail ◽

Tissue Samples ◽

Systematic Assessment ◽

Wide Range ◽

The Stability ◽

Suitable Reference

Reverse transcription quantitative PCR (RT-qPCR) is a robust technique for the quantification and comparison of gene expression across multiple tissues. To obtain reliable results, one or more reference genes must be employed to normalize expression measurements among treatments or tissue samples. Candidate reference genes must be validated to ensure that they are stable prior to use in qPCR experiments. The pond snail (Lymnaea stagnalis) is a common research organism, particularly in the areas of learning and memory, and is an emerging target for qPCR experimentation. However, no systematic assessment of reference genes has been performed in this animal. Therefore, the aim of our research was to identify stable reference genes to normalize gene expression data from a variety of tissues in L. stagnalis. We evaluated a panel of seven reference genes across six different tissues in L. stagnalis with RT-qPCR. The genes included: elongation factor 1-alpha (EF1α), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin (ACTB), beta-tubulin (TUBB), ubiquitin (UBI), prenylated rab acceptor protein 1 (Rapac1), and a voltage gated potassium channel (VGKC). These genes exhibited a wide range of expression levels among tissues. The stability of each of the genes was consistent when measured by any of the standard stability assessment algorithms: geNorm, NormFinder, BestKeeper and RefFinder. Our data indicate that GAPDH and EF1α are highly stable in the tissues that we examined (central nervous system, tentacles, lips, penis, foot, mantle) as well as in pooled analyses. We do not recommend VGKC for use in RT-qPCR experiments due to its relatively low expression stability. Our results were generally congruent with those obtained from similar studies in other molluscs. Given that a minimum of two reference genes are recommended for data normalization, we suggest GAPDH and EF1α are a strong option for multi-tissue analyses of RT-qPCR data in Lymnaea stagnalis.

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Tissue-specific evaluation of suitable reference genes for RT-qPCR in the pond snail, Lymnaea stagnalis

10.7287/peerj.preprints.27695v1 ◽

2019 ◽

Author(s):

Alexander P Young ◽

Carmen F Landry ◽

Daniel J Jackson ◽

Russell C Wyeth

Keyword(s):

Gene Expression ◽

Reference Genes ◽

Lymnaea Stagnalis ◽

Elongation Factor ◽

Pond Snail ◽

Tissue Samples ◽

Systematic Assessment ◽

Wide Range ◽

The Stability ◽

Suitable Reference

Reverse transcription quantitative PCR (RT-qPCR) is a robust technique for the quantification and comparison of gene expression across multiple tissues. To obtain reliable results, one or more reference genes must be employed to normalize expression measurements among treatments or tissue samples. Candidate reference genes must be validated to ensure that they are stable prior to use in qPCR experiments. The pond snail (Lymnaea stagnalis) is a common research organism, particularly in the areas of learning and memory, and is an emerging target for qPCR experimentation. However, no systematic assessment of reference genes has been performed in this animal. Therefore, the aim of our research was to identify stable reference genes to normalize gene expression data from a variety of tissues in L. stagnalis. We evaluated a panel of seven reference genes across six different tissues in L. stagnalis with RT-qPCR. The genes included: elongation factor 1-alpha (EF1α), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin (ACTB), beta-tubulin (TUBB), ubiquitin (UBI), prenylated rab acceptor protein 1 (Rapac1), and a voltage gated potassium channel (VGKC). These genes exhibited a wide range of expression levels among tissues. The stability of each of the genes was consistent when measured by any of the standard stability assessment algorithms: geNorm, NormFinder, BestKeeper and RefFinder. Our data indicate that GAPDH and EF1α are highly stable in the tissues that we examined (central nervous system, tentacles, lips, penis, foot, mantle) as well as in pooled analyses. We do not recommend VGKC for use in RT-qPCR experiments due to its relatively low expression stability. Our results were generally congruent with those obtained from similar studies in other molluscs. Given that a minimum of two reference genes are recommended for data normalization, we suggest GAPDH and EF1α are a strong option for multi-tissue analyses of RT-qPCR data in Lymnaea stagnalis.

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Identification and validation of miRNA reference genes in poplar under pathogen stress

10.21203/rs.3.rs-225734/v1 ◽

2021 ◽

Author(s):

Lichun Zhang ◽

Xiaoqian Yang ◽

Yiyi Yin ◽

Jinxing Wang ◽

Yanwei Wang

Keyword(s):

Gene Expression ◽

Reference Gene ◽

Small Rna ◽

Reference Genes ◽

Expression Profiles ◽

Small Rna Sequencing ◽

Rna Seq ◽

Internal Standards ◽

Qrt Pcr ◽

Canker Pathogen

Abstract Quantitative real time polymerase chain reaction (qRT-PCR) is a common method to analyze gene expression. Due to differences in RNA quantity, quality, and reverse transcription efficiency between qRT-PCR samples, reference genes are used as internal standards to normalize gene expression. However, few universal genes especially miRNAs have been identified as reference so far. Therefore, it is essential to identify reference genes that can be used across various experimental conditions, stress treatments, or tissues. In this study, 14 microRNAs (miRNAs) and 5.8S rRNA were assessed for expression stability in poplar trees infected with canker pathogen. Using three reference gene analysis programs, we found that miR156g and miR156a exhibited stable expression throughout the infection process. miR156g and miR156a were then tested as internal standards to measure the expression of miR1447 and miR171c, and the results were compared to small RNA sequencing (RNA-seq) data. We found that when miR156a was used as the reference gene, the expression of miR1447 and miR171c were consistent with the small RNA-seq expression profiles. Therefore, miR156a was the most stable miRNAs examined in this study, and could be used as a reference gene in poplar under canker pathogen stress, which should enable comprehensive comparisons of miRNAs expression and avoid the bias caused by different lenth between detected miRNAs and traditional referece genes. The present study has expanded the miRNA reference genes available for gene expression studies in trees under biotic stress.

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

International Journal of Molecular Sciences ◽

10.3390/ijms20010034 ◽

2018 ◽

Vol 20 (1) ◽

pp. 34 ◽

Cited By ~ 3

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.

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

Journal of Insect Science ◽

10.1673/031.014.94 ◽

2014 ◽

Vol 14 (94) ◽

pp. 1-10 ◽

Cited By ~ 2

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

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Identification of suitable reference genes for gene expression studies by qRT-PCR in the blister beetle Mylabris cichorii

Journal of Insect Science ◽

10.1093/jis/14.1.94 ◽

2014 ◽

Vol 14 (1) ◽

Cited By ~ 6

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 ◽

Blister Beetle

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Selecting optimal reference genes for breast cancer research

10.21203/rs.3.rs-91036/v1 ◽

2020 ◽

Author(s):

Qiang Song ◽

Man Huang ◽

Guicheng Wu ◽

Lu Dou ◽

Wenjin Zhang ◽

...

Keyword(s):

Breast Cancer ◽

Gene Expression ◽

Cancer Research ◽

Cell Lines ◽

Breast Tumor ◽

Reference Genes ◽

Breast Cancer Research ◽

Rna Seq ◽

Qrt Pcr ◽

Cancer Tissues

Abstract Background Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is the most sensitive technique for evaluating gene expression levels. Choosing appropriate reference genes (RGs) is critical for normalizing and evaluating changes in the expression of target genes. However, uniform and reliable RGs for breast cancer research have not been identified, limiting the value of target gene expression studies. Here, we provide a novel approach for mining RGs by using the RNA-seq dataset to identify reliable and accurate RGs that can be applied to different types of breast cancer tissues and cell lines. Methods First, we compiled the transcriptome profiling data from the TCGA database involving 1217 samples to identify novel RGs and then ten genes (SF1, TARDBP, THRAP3, QRICH1, TRA2B, SRSF3, YY1, DNAJC8, RNF10, and RHOA) with relatively stable expression levels were chosen as novel candidate RGs. Additionally, six conventional RGs (ACTB, TUBA1A, RPL13A, B2M, GAPDH, and GUSB) were also selected. To determine and validate the optimal RGs we performed qRT-PCR experiments on 87 samples from 5 types of surgically excised breast tumor specimens including HR+HER2-, HR+HER2+, HR-HER2-, HR-HER2+, breast cancer after neoadjuvant chemotherapy (NAC) and their matched para-carcinoma tissues, furthermore, we also included a benign breast tumor sample. Six biological replicates were included for each tissue. Moreover, we assessed 7 breast cancer cell lines (MCF-10A, MCF-7, T-47D, MDA-MB-231, MDA-MB-468, as well as MDA-MB-231 with either CNR2 knockdown or overexpression; 3 biological replicates for each line). Five statistical algorithms (geNorm, NormFinder, ΔCt method, BestKeeper, and ComprFinder) were used to assess the stability of expression of each RG across all breast cancer tissues and cell lines. Results Our results show that RG combinations SF1+TRA2B+THRAP3 and THRAP3+RHOA+QRICH1 showed stable expression in breast cancer tissues and cell lines, respectively, and that these two combinations displayed good interchangeability. Therefore, we propose that the above two combinations are optimal triplet RGs for breast cancer research. Conclusions In summary, we identified novel and reliable RG combinations for breast cancer research based on a public RNA-seq dataset which lays a solid foundation for accurate normalization of qRT-PCR results across different breast cancer tissues and cells.

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

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i3.837 ◽

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.

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Screening the Reference Genes for Quantitative Gene Expression by RT-qPCR During SE Initial Dedifferentiation in Four Gossypium hirsutum Cultivars that Have Different SE Capability

Genes ◽

10.3390/genes10070497 ◽

2019 ◽

Vol 10 (7) ◽

pp. 497 ◽

Cited By ~ 3

Author(s):

Aiping Cao ◽

Dongnan Shao ◽

Baiming Cui ◽

Xuecheng Tong ◽

Yinying Zheng ◽

...

Keyword(s):

Gene Expression ◽

Gossypium Hirsutum ◽

Internal Control ◽

Reference Genes ◽

18S Rrna ◽

Strong Positive Correlation ◽

Rna Seq ◽

Wide Range ◽

Qpcr Normalization ◽

Dedifferentiation Process

RNA sequencing (RNA-Seq)-based gene expression analysis is applicable to a wide range of biological purposes in various species. Reverse transcription quantitative PCR (RT-qPCR) is also used to assess target gene expression utilizing stably expressed reference genes as internal control under a given set of conditions. However, investigations of the reference genes for RT-qPCR normalization in the process of somatic embryogenesis (SE) initial dedifferentiation in Gossypium hirsutum are rarely reported. In this study, on the basis of our previous transcriptome data of three different induction stages during SE initial dedifferentiation process in four G. hirsutum cultivars that have different SE capability, 15 candidate genes were selected during SE initial dedifferentiation process, and their expression stability was evaluated by geNorm, NormFinder, and BestKeeper. The results indicated that the two genes of endonuclease 4 (ENDO4) and 18S ribosomal RNA (18S rRNA) showed stable expression in the four different G. hirsutum cultivars, endowing them to be appropriate reference genes during three induction stages in the four cotton cultivars. In addition, the stability and reliability of the two reference genes of ENDO4 and 18S rRNA were further verified by comparing the expressions of auxin-responsive protein 22 (AUX22) and ethylene-responsive transcription factor 17 (ERF17) between RT-qPCR results and the RNA-seq data, which showed strong positive correlation coefficient (R2 = 0.8396–0.9984), validating again the steady expression of ENDO4 and 18S rRNA as the reliable reference genes. Our results provide effective reference genes for RT-qPCR normalization during SE process in different G. hirsutum cultivars.

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