Amana edulis is a traditional Chinese medicinal plant with low propagation coefficient. In recent years, the increasing demands of A. edulis lead to a shortage of its wild resources. In order to analyze the expression of related functional genes in A. edulis, the selection of suitable internal reference genes is crucial to improve the accuracy of experimental results. Eight genes(ACT, TUA, CYP, GAPDH, UBQ, UBI, EF1a, UBC)were chosen as candidate reference genes based on the RNA-Seq. Real-time fluorescence quantitative technique was used to detect the expression level of candidate internal reference genes in different organs(bulb, leaf, flo-wer) and stolons at different development stages of A. edulis. Then GeNorm, NormFinder, BestKeeper softwares and RefFinder website were used for a comprehensive analysis of the expression stability of the candidate genes.The results showed that among the 8 candidate reference genes, the variation range of Ct value of UBC was the smallest, and the expression level was stable, which was suitable for an reference gene. GeNorm and NormFinder software analysis showed that UBC and UBI were the optimal reference genes. BestKeeper analysis showed that CYP and UBC expression were relatively stable. Comprehensive evaluation of RefFinder website showed that UBC and UBI were the most stable genes, and ACT displayed the lowest stability in all software evaluation, indicating UBC and UBI were suitable for reference genes. Additionally, the most stable UBC, UBI and the most unstable ACT were used as internal reference genes to detect the expression of GBSS gene in A. edulis, and expression pattern of GBSS gene was the same under the calibration of UBC and UBI. The expression data of GBSS gene confirmed that UBC and UBI genes were reliable for A. edulis qRT-PCR as internal reference genes. The results would benefit future studies on related gene expression of A. edulis.
Gene Expression Profiling ; Gene Expression Regulation, Plant ; Genes, Plant/genetics* ; Real-Time Polymerase Chain Reaction ; Reference Standards

Single-cell transcriptome sequencing(scRNA-seq) can be used to analyze the expression characteristics of the transcriptome at the level of individual cell, and discover the heterogeneity of gene expression in individual cell that is "diluted" or averaged in study of group organization. The scRNA-seq, with the characteristics of standardization, high-throughput, and high integration, can greatly simplify the experimental operation and significantly reduce the consumption of reagents. At the same time, a variety of cells are screened and the gene expression patterns are analyzed at the single-cell level to provide a more efficient detection technique and more rich and accurate information for drug research. In the field of traditional Chinese medicine(TCM), the scRNA-seq is still a new technology, but the individual and precision concepts embodied by scRNA-seq and the theory of TCM syndrome differentiation and treatment have reached the same effect between the micro and macro aspects. This study tried to broaden the thinking for the modernization of TCM by introducing the development of scRNA-seq technology and its application in modern drug research and discussing the application prospects of scRNA-seq in TCM research.
Gene Expression Profiling ; Medicine, Chinese Traditional ; Reference Standards ; Sequence Analysis, RNA ; Single-Cell Analysis ; Transcriptome

Screening the reference genes that were stably expressed under different light intensities for Viola yedoensis could provide reference for the related molecular research. In this study, 11 candidate reference genes were detected by RT-qPCR for tissues of V. yedoensis treated with different light intensities. Ge Norm, Norm Finder, Best Keeper, and Ref Finder website were used to comprehensively evaluate the reference genes, and verify the stability of the reference gene based on CAT1. Finally, the ideal reference gene was determined. The results showed that CYP, Actin, and SAMDC had small Ct value ranges and stable expression. Ge Norm demonstrated that CYP, SAMDC, and Actin were suitable reference genes. Norm Finder showed that the expression of α-TUB was the most stable. Best Keeper recommended CYP, Actin, and SAMDC as reference genes. Ref Finder assessed that SAMDC, CYP, α-TUB, and Actin had better stability, while GAPDH had the worst stability. The expression trend of CAT1 gene was consistent when calibrated with SAMDC, CYP, and Actin, while it was quite different from that calibrated with GAPDH. In summary, SAMDC, CYP, and Actin can be used as ideal reference genes for the gene expression profiling of V. yedoensis under different light intensities.
Gene Expression Profiling ; Real-Time Polymerase Chain Reaction ; Reference Standards ; Viola

Normalization of the data of cDNA microarray is an obligatory step during microarray experiments due to the relatively frequent non-specific errors. Generally, normalization of microarray data is based on the null hypothesis and variance model. In the Yang's model (Yang et al., 2001), at least two types of noises are included. The one is additive noise and the other is multiplicative noise. Usually, background is considered as one of additive noise to the signal and the variation between the signal pixels is the representative multiplicative noise. In this study, the relation between the signal (spot intensity minus background intensity) and background was observed and the influence of background on normalization as a representative additive factor was investigated. Although the relation has not been considered as a factor affecting the normalization, it could improve the accuracy of microarray data when the normalization was carried out considering signal/background ratio. The background dependent normalization decreased the number of genes whose expression levels were changed significantly and it could make their distribution more consistent through the whole range of signal intensities. In this study, printing pin dependent normalization was also carried out regarding the printing pin as a representative multiplicative noise. It improved the distribution of spots in the Cy3-Cy5 scatter plot, but its effect was slight. These studies suggest that there are some influences of the signals on the local backgrounds and they must be considered for the normalization of cDNA microarray data.
Carbocyanines ; DNA, Complementary/*analysis/genetics ; Gene Expression Profiling/*methods/*standards ; Linear Models ; Oligonucleotide Array Sequence Analysis/*methods/*standards ; Reference Standards ; Reproducibility of Results ; Sensitivity and Specificity

Artemisia Argyi Folium, a traditional Chinese medicine of important medicinal and economic value, sees increasing demand in medicinal and moxibustion product market. Screening stable and reliable reference genes for quantitative real-time PCR(qRT-PCR) is a prerequisite for the analysis of gene expression in Artemisia argyi. In this study, eight commonly used reference genes, Actin, 18s, EF-1α, GAPDH, SAND, PAL, TUA, and TUB, from the transcriptome of A. argyi, were selected as candidate genes. The expression of each gene in different tissues(roots, stems, and leaves) of A. argyi and in leaves of A. argyi after treatment with methyl jasmonate(MeJA) for different time(0, 4, 8, 12 h) was detected by qRT-PCR. Then, geNorm, NormFinder, BestKeeper, ΔCT, and RefFinder were employed to evaluate their expression stability. The results demonstrated that Actin was the most stable reference gene in different tissues and in leaves treated with MeJA, and coming in the second was SAND. Furthermore, the expression of DXS and MCT which are involved in terpenoid backbone biosynthesis was detected in different tissues and after MeJA treatment. The results showed that the expression patterns of DXS and MCT in different tissues and under MeJA treatment calculated with Actin and SAND as internal reference genes were consistent, which validated the screening results. In conclusion, Actin is the most suitable reference gene for the analysis of gene expression in different tissues of A. argyi and after MeJA treatment. This study provides valuable information for gene expression analysis in A. argyi and lays a foundation for further research on molecular mechanism of quality formation of Artemisia Argyi Folium.
Artemisia/genetics* ; Gene Expression Profiling ; Genes, Plant/genetics* ; Plant Leaves/genetics* ; Real-Time Polymerase Chain Reaction ; Reference Standards ; Transcriptome

Autopsy ; China ; Diagnosis, Differential ; Gene Expression Profiling ; Humans ; Immunohistochemistry ; Pathology ; manpower ; organization & administration ; standards ; Practice Guidelines as Topic ; Quality Control

Screening suitable reference genes is the premise of quantitative Real-time PCR(qRT-PCR)for gene expression analysis. To provide stable reference genes for expression analysis of genes in Aconitum vilmorinianum, this study selected 19 candidate re-ference genes(ACT1, ACT2, ACT3, aTUB1, aTUB2, bTUB, 18S rRNA, UBQ, eIF2, eIF3, eIF4, eIF5, CYP, GAPDH1, GAPDH2, PP2A1, PP2A2, ACP, and EF1α) based on the transcriptome data of A. vilmorinianum. qRT-PCR was conducted to profile the expression of these genes in the root, stem, leaf, and flower of A. vilmorinianum. The Ct values showed that 18S rRNA with high expression level and GAPDH2 with large expression difference among organs were not suitable as the reference genes. NormFinder and geNorm showed similar results of the expression stability of the other candidate reference genes and demonstrated PP2A1, EF1α, and CYP as the highly stable ones. However, BestKeeper suggested EF1α, ACT3, and PP2A1 as the top stable genes. In view of the different results from different softwares, the geometric mean method was employed to analyze the expression stability of the candidate re-ference genes, the results of which indicated that PP2A1, EF1α, and ACT3 were the most stable. Based on the comprehensive analysis results of geNorm, NormFinder, BestKeeper, and geometric mean method, PP2A1 and EF1α presented the most stable expression in different organs of A. vilmorinianum. PP2A1 and EF1α were the superior reference genes for gene expression profiling in different organs of A. vilmorinianum.
Aconitum ; Gene Expression Profiling ; Genes, Plant/genetics* ; Real-Time Polymerase Chain Reaction ; Reference Standards ; Reverse Transcriptase Polymerase Chain Reaction

Objective Quantitative analysis and comparison of the expression of ribonucleic acid （RNA） from frozen organs and formaldehyde-fixed and paraffin-embedded （FFPE） tissues. Methods Frozen specimens of human brain, myocardium and liver tissues as well as FFPE samples at different postmortem intervals were collected and mass concentration of RNA was extracted and detected. Reverse transcription-quantitative polymerase chain reaction （RT-qPCR） technology was used to analyze the amplification efficiency and relative expression of each RNA marker. Results The mass concentration and integrity of RNA extracted from FFPE samples were relatively low compared with frozen specimens. The amplification efficiency of RNA markers was related with RNA species and the length of amplification products. Among them, glyceraldehyde-3-phosphate dehydrogenase （GAPDH） and β-actin （ACTB） with relatively long amplification products failed to achieve optimal amplification efficiency, whereas 5S ribosomal RNA （5S rRNA） achieved ideal amplification efficiency and showed quite stable expression across various tissues, therefore it was chosen as internal reference marker. The expression quantity of GAPDH and ACTB in frozen specimens with longer postmortem intervals and in FFPE samples with relatively long amplification products was decreased. The expressions of tissue-specific microRNAs （miRNAs）, GAPDH and ACTB with relatively short amplification products had consistency in the same tissues and FFPE samples. Conclusion Through standardizing the RT-qPCR experiment, selecting the appropriate RNA marker and designing primers of appropriate product length, RNA expression levels of FFPE samples can be accurately quantified.
DNA Primers ; Formaldehyde ; Gene Expression Profiling ; Humans ; MicroRNAs/analysis* ; Myocardium ; Paraffin Embedding ; RNA/analysis* ; Real-Time Polymerase Chain Reaction/standards*

To select suitable references gene of Polygonum multiflorum for gene expression analysis in different tissues, five candidate reference genes like Actin,GAPDH,SAND,PP2A,TIP41 were selected from the transcriptome data of P. multiflorum, then the specific primers were designed. The expression stability of the five reference genes in different tissues of P. multiflorum was analyzed by Real-time quantitative PCR through avilable analysis methods such as geNorm, NormFinder, BestKeeper, Delta CT and RefFinder, to ensure the reliability of the analysis results. The results showed that there were significant differences in the expression levels and stability of candidate genes in different tissues of P. multiflorum. Ct distribution analysis of the expression levels of candidate genes showed that the expression levels of Actin and GAPDH genes were relatively high in different tissues, while the expression levels of SAND, PP2A and TIP41 were lower. The stability of each candidate gene was analyzed by different methods. The results of geNorm analysis showed that the expression of PP2A and GAPDH was the most stable, the expression stability of SAND was the worst, the stability of PP2A was the highest in both NormFinder and Delta CT, the stability of SAND was the lowest, and the stability of Actin was the most stable in BestKeeper analysis. Through the comprehensive evaluation and analysis of the stability of candidate genes by RefFinder, it is concluded that the stability of PP2A gene is the highest, followed by GAPDH, Actin, TIP41, SAND, and SAND gene is the worst. Therefore, the PP2A gene is an ideal reference gene for the analysis of gene expression in different tissues of P. multiflorum.
Fallopia multiflora ; Gene Expression Profiling ; Gene Expression Regulation, Plant ; Genes, Plant/genetics* ; Real-Time Polymerase Chain Reaction ; Reference Standards ; Reproducibility of Results

Quantitative real-time RT-PCR (RT-qPCR) is being widely used in microRNA expression research. However, few reports detailed a robust identification and validation strategy for suitable reference genes for normalisation in microRNA RT-qPCR studies. The aim of this study was to identify the most stable reference gene(s) for quantification of microRNA expression analysis in uterine cervical tissues. A microarray was performed on 6 pairs of uterine cervical tissues to identify the candidate reference genes. The stability of candidate reference genes was assessed by RT-qPCR in 23 pairs of uterine cervical tissues. The identified most stable reference genes were further validated in other cohort of 108 clinical uterine cervical samples: (HR-HPV- normal, n = 21; HR-HPV+ normal, n = 19; cervical intraepithelial neoplasia [CIN], n = 47; cancer, n = 21), and the effects of normalizers on the relative quantity of target miR-424 were assessed. In the array experiment, miR-26a, miR-23a, miR-200c, let-7a, and miR-1979 were identified as candidate reference genes for subsequent validation. MiR-23a was identified as the most reliable reference gene followed by miR-191. The use of miR-23a and miR-191 to normalize expression data enabled detection of a significant deregulation of miR-424 between normal, CIN and cancer tissue. Our results suggested that miR-23a and miR-191 are the optimal reference microRNAs that can be used for normalization in profiling studies of cervical tissues; miR-23a is a novel microRNA normalizer.
Cervical Intraepithelial Neoplasia/diagnosis/genetics/*metabolism/pathology ; Cervix Uteri/*metabolism/pathology ; Early Detection of Cancer ; Female ; Gene Expression Profiling/*standards ; Humans ; MicroRNAs/genetics/*metabolism/standards ; Microarray Analysis ; Reference Standards ; Reverse Transcriptase Polymerase Chain Reaction ; Uterine Cervical Neoplasms/diagnosis/genetics/*metabolism/pathology