Identification of reference genes for gene expression studies during seed germination and seedling establishment in Ricinus communis L.

2014 ◽  
Vol 24 (4) ◽  
pp. 341-352 ◽  
Author(s):  
Paulo R. Ribeiro ◽  
Bas J. W. Dekkers ◽  
Luzimar G. Fernandez ◽  
Renato D. de Castro ◽  
Wilco Ligterink ◽  
...  

AbstractReverse transcription-quantitative polymerase chain reaction (RT-qPCR) is an important technology to analyse gene expression levels during plant development or in response to different treatments. An important requirement to measure gene expression levels accurately is a properly validated set of reference genes. In this context, we analysed the potential use of 17 candidate reference genes across a diverse set of samples, including several tissues, different stages and environmental conditions, encompassing seed germination and seedling growth in Ricinus communis L. These genes were tested by RT-qPCR and ranked according to the stability of their expression using two different approaches: GeNorm and NormFinder. GeNorm and Normfinder indicated that ACT, POB and PP2AA1 comprise the optimal combination for normalization of gene expression data in inter-tissue (heterogeneous sample panel) studies. We also describe the optimal combination of reference genes for a subset of root, endosperm and cotyledon samples. In general, the most stable genes suggested by GeNorm are very consistent with those indicated by NormFinder, which highlights the strength of the selection of reference genes in our study. We also validated the selected reference genes by normalizing the expression levels of three target genes involved in energy metabolism with the reference genes suggested by GeNorm and NormFinder. The approach used in this study to identify stably expressed genes, and thus potential reference genes, was applied successfully for R. communis and it provides important guidelines for RT-qPCR studies in seeds and seedlings for other species (especially in those cases where extensive microarray data are not available).

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Roshini Kalagara ◽  
Weimin Gao ◽  
Honor L. Glenn ◽  
Colleen Ziegler ◽  
Laura Belmont ◽  
...  

Gene expression studies which utilize lipopolysaccharide (LPS)-stimulated macrophages to model immune signaling are widely used for elucidating the mechanisms of inflammation-related disease. When expression levels of target genes are quantified using Real-Time quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR), they are analyzed in comparison to reference genes, which should have stable expression. Judicious selection of reference genes is, therefore, critical to interpretation of qRT-PCR results. Ideal reference genes must be identified for each experimental system and demonstrated to remain constant under the experimental conditions. In this study, we evaluated the stability of eight common reference genes: Beta-2-microglobulin (B2M), Cyclophilin A/Peptidylprolyl isomerase A, glyceraldehyde-3-phosphatedehydrogenase (GAPDH), Hypoxanthine Phosphoribosyltransferase 1, Large Ribosomal Protein P0, TATA box binding protein, Ubiquitin C (UBC), and Ribosomal protein L13A. Expression stability of each gene was tested under different conditions of LPS stimulation and compared to untreated controls. Reference gene stabilities were analyzed using Ct value comparison, NormFinder, and geNorm. We found that UBC, closely followed by B2M, is the most stable gene, while the commonly used reference gene GAPDH is the least stable. Thus, for improved accuracy in evaluating gene expression levels, we propose the use of UBC to normalize PCR data from LPS-stimulated macrophages.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9618
Author(s):  
Bert Foquet ◽  
Hojun Song

Reverse Transcriptase quantitative Polymerase Chain Reaction (RT-qPCR) is the current gold standard tool for the study of gene expression. This technique is highly dependent on the validation of reference genes, which exhibit stable expression levels among experimental conditions. Often, reference genes are assumed to be stable a priori without a rigorous test of gene stability. However, such an oversight can easily lead to misinterpreting expression levels of target genes if the references genes are in fact not stable across experimental conditions. Even though most gene expression studies focus on just one species, comparative studies of gene expression among closely related species can be very informative from an evolutionary perspective. In our study, we have attempted to find stable reference genes for four closely related species of grasshoppers (Orthoptera: Acrididae) that together exhibit a spectrum of density-dependent phenotypic plasticity. Gene stability was assessed for eight reference genes in two tissues, two experimental conditions and all four species. We observed clear differences in the stability ranking of these reference genes, both between tissues and between species. Additionally, the choice of reference genes clearly influenced the results of a gene expression experiment. We offer suggestions for the use of reference genes in further studies using these four species, which should be taken as a cautionary tale for future studies involving RT-qPCR in a comparative framework.


Animals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 182 ◽  
Author(s):  
Xuelan Zhou ◽  
Xiaoyun Wu ◽  
Min Chu ◽  
Chunnian Liang ◽  
Xuezhi Ding ◽  
...  

Testis has an important function in male reproduction. Its development is regulated by a large number of genes. The real-time reserve transcriptase-quantitative polymerase chain reaction (RT-qPCR) is a useful tool to evaluate the gene expression levels. However, unsuitable reference genes (RGs) can cause the misinterpretation of gene expression levels. Unfortunately, the ideal RGs for yak testis development are yet to be studied. In this study, 13 commonly used RGs were selected to identify the most stable RGs in yak testis at four different developmental stages, including two immature stages (6 months and 18 months) and two mature stages (30 months and 6 years). This study used GeNorm, NormFinder, BestKeeper, ∆Ct, and RefFinder programs to evaluate the stability of 13 candidate genes. The results of RefFinder showed that the stabilities of TATA box-binding protein (TBP) and ubiquitously expressed transcript protein (UXT) were ranked the top two across all developmental stages. TBP and hydroxymethylbilane synthase (HMBS) were stably expressed in immature stages, while mitochondrial ribosomal protein L39 (MRPL39) and TBP had higher stability than other candidate genes in mature stages. This study provided valuable information for gene expression studies to assist further investigation on the molecular mechanisms in underlying yak testis development.


2016 ◽  
Author(s):  
Po-Yuan Tung ◽  
John D. Blischak ◽  
Chiaowen Joyce Hsiao ◽  
David A. Knowles ◽  
Jonathan E. Burnett ◽  
...  

AbstractSingle cell RNA sequencing (scRNA-seq) can be used to characterize variation in gene expression levels at high resolution. However, the sources of experimental noise in scRNA-seq are not yet well understood. We investigated the technical variation associated with sample processing using the single cell Fluidigm C1 platform. To do so, we processed three C1 replicates from three human induced pluripotent stem cell (iPSC) lines. We added unique molecular identifiers (UMIs) to all samples, to account for amplification bias. We found that the major source of variation in the gene expression data was driven by genotype, but we also observed substantial variation between the technical replicates. We observed that the conversion of reads to molecules using the UMIs was impacted by both biological and technical variation, indicating that UMI counts are not an unbiased estimator of gene expression levels. Based on our results, we suggest a framework for effective scRNA-seq studies.


Genes ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 807 ◽  
Author(s):  
Pan ◽  
Liu ◽  
Wen ◽  
Liu ◽  
Zhang ◽  
...  

Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels, but is limited by a high cost. Recent studies have partitioned the genes into landmark genes and target genes and suggested that the landmark gene expression levels capture adequate information to reconstruct the target gene expression levels. This inspired us to propose that the methylation level of the promoters in landmark genes might be adequate to reconstruct the promoter methylation level of target genes, which would eventually reduce the cost of promoter methylation profiling. Here, we propose a deep learning model called Deep-Gene Promoter Methylation (D-GPM) to predict the whole-genome promoter methylation level based on the promoter methylation profile of the landmark genes from The Cancer Genome Atlas (TCGA). D-GPM-15%-7000 × 5, the optimal architecture of D-GPM, acquires the least overall mean absolute error (MAE) and the highest overall Pearson correlation coefficient (PCC), with values of 0.0329 and 0.8186, respectively, when testing data. Additionally, the D-GPM outperforms the regression tree (RT), linear regression (LR), and the support vector machine (SVM) in 95.66%, 92.65%, and 85.49% of the target genes by virtue of its relatively lower MAE and in 98.25%, 91.00%, and 81.56% of the target genes based on its relatively higher PCC, respectively. More importantly, the D-GPM predominates in predicting 79.86% and 78.34% of the target genes according to the model distribution of the least MAE and the highest PCC, respectively.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3977-3977
Author(s):  
Ida Bruun Kristensen ◽  
Jacob Haaber ◽  
Maria B Lyng ◽  
Lise Pedersen ◽  
Lars Melholt Rasmussen ◽  
...  

Abstract Abstract 3977 Osteolytic bone disease (OBD) in multiple myeloma (MM) is known to be caused by a combination of osteoclast hyperactivation and osteoblast inhibition. One of the pathways known to be involved in osteoblast inhibition from in vitro studies is the HGF pathway consisting of HGF, its receptor MET, the co-receptor Syndecan-1 (SDC-1), the partial MET antagonist Decorin and HGF activator responsible for HGF processing to its active form. So far, gene expression studies in MM have been performed on isolated MM plasma cells or bone marrow (BM) aspirates, which are not completely representative of the cell composition in the BM micro-environment. We used a novel strategy, whereby gene expression of factors associated with the HGF pathway was evaluated in snap-frozen BM biopsies, and moreover we determined the protein levels in matched BM plasma samples. An additional BM core biopsy obtained during the diagnostic procedure of MM patients was snap-frozen. Biopsies were cut, homogenized and RNA was purified and analyzed by qRT-PCR using low density arrays (Applied Biosystems). The relative quantitative gene expression was calculated using 3 internal reference genes (ABL, GAPDH and GUS). OBD was evaluated using standard radiographs. All patients were untreated and did not receive medicine that could influence bone remodeling. We examined 10 healthy volunteers (HV), 35 monoclonal gammopathy of unknown significance (MGUS) and 65 untreated MM patients, which according to radiographic findings were divided into NO/LOW and advanced OBD, i.e. OBD in ≥2 regions. ELISA was performed on a total of 31 matched BM plasma samples of HV, MGUS and MM obtained at the same time point as the biopsies. In addition, extra samples without gene data (N=52) were analyzed. Commercial kits for SDC-1 (Diaclone), HGF (RnD, Quantikine) and Decorin (RnD, Duoset) were run in duplicates according to manufacturer's instructions. Gene expression of HGF, SDC1, and MET were significantly different comparing HV, MGUS, no/low and advanced OBD (p<0.05) (For HGF, see figure 1). Decorin was not associated to OBD. HGF activator was not expressed in any of our samples, but only in the positive control. A significant correlation between gene and protein expression levels measured by ELISA was found for SDC-1 (Spearman's rho= 0.463, p=0.0058) and HGF (Spearman's rho=0.45, p=0.01). No correlation was found between Decorin gene levels and BM plasma levels (Spearman's rho =-0.24, p=0.22). The protein level of SDC-1 and HGF in BM plasma were both upregulated in MM and associated significantly to OBD level (p<0.05), while Decorin were significantly downregulated in MGUS and MM samples compared to HVs (p<0.05). A significant difference in HGF BM plasma levels were found between patients with no/limited OBD (median: 1.7ng/mL) and advanced OBD (median: 6.2ng/mL) in BM plasma. In our expression study reflecting the in vivo situation in MM patients, genes in the HGF pathway and proteins were significantly associated to OBD. The use of whole snap-frozen BM biopsies is a novel strategy for evaluation of gene expression in MM making it possible to investigate patients independent of degree of MM plasma cell infiltration. In addition to the dys-regulated gene expression levels alteration of SDC-1 and HGF was also observed at protein level, supporting the gene expression findings, and underscoring the usefulness of BM biopsies for gene expression studies in MM. Furthermore, our study for the first time shows up regulation of HGF in association with OBD at both gene and protein level in a large clinical material. Figure 1A. HGF Gene Expression levels in whole snap-frozen BM biopsies. Figure 1B. HGF protein levels in BM plasma (pg/mL). 1 = HV, 2 = MGUS, 3 = no/low OBD MM, 4 = advanced OBD MM. Figure 1A. HGF Gene Expression levels in whole snap-frozen BM biopsies. Figure 1B. HGF protein levels in BM plasma (pg/mL). 1 = HV, 2 = MGUS, 3 = no/low OBD MM, 4 = advanced OBD MM. Disclosures: No relevant conflicts of interest to declare.


2018 ◽  
Vol 42 (1-2) ◽  
pp. 23-29
Author(s):  
Sayed R. Hosseini-Fard ◽  
Mohsen Khosravi ◽  
Amaneh Yarnazari ◽  
Parisa Hassanpour ◽  
Abdollah Amirfarhangi ◽  
...  

AbstractBackground:The metabolism of cholesteryl esters (CEs) is under the control of a gene network in macrophages. Several genes such asATF3andEGR2are related to cholesterol metabolism.Methods:In this study, theATF3andEGR2gene expression levels were evaluated in differentiated macrophages of subjects undergoing coronary artery angiography [controls (<5% stenosis), patients (>70% stenosis)] after treatment with small dense low density lipoprotein (sdLDL) particles. Monocytes were isolated using a RosetteSep Kit and were differentiated into macrophages using the M-CSF factor. A modified heparin-MgSO4-PEG method was used for the sdLDL preparation. TheATF3andEGR2gene expression levels were measured by the real-time quantitative polymerase chain reaction (RT-qPCR) technique.Results:In contrast with the control group (p=0.4), theATF3expression level reduced significantly in the differentiated macrophages from all patients [single vessel disease (SVD), fold change 17 times, p=0.02; two vessel disease (2VD), fold change 1.5 times, p=0.05; three vessel disease (3VD), fold change 3.5 times, p=0.04]. Also, theEGR2expression level reduced significantly in all groups (p<0.02). The gene fold changes had no significant differences between the patients (p>0.8).Conclusions:We propose that the failure ofATF3gene expression improves the CE synthesis after sdLDL influx. Furthermore, the reducedEGR2gene expression level in the sdLDL-treated groups may be a negative factor in cholesterol homeostasis.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245081
Author(s):  
Yudai Nishide ◽  
Daisuke Kageyama ◽  
Yoshiaki Tanaka ◽  
Kakeru Yokoi ◽  
Akiya Jouraku ◽  
...  

Development of a reliable method for RNA interference (RNAi) by orally-delivered double-stranded RNA (dsRNA) is potentially promising for crop protection. Considering that RNAi efficiency considerably varies among different insect species, it is important to seek for the practical conditions under which dsRNA-mediated RNAi effectively works against each pest insect. Here we investigated RNAi efficiency in the brown-winged green stinkbug Plautia stali, which is notorious for infesting various fruits and crop plants. Microinjection of dsRNA into P. stali revealed high RNAi efficiency–injection of only 30 ng dsRNA into last-instar nymphs was sufficient to knockdown target genes as manifested by their phenotypes, and injection of 300 ng dsRNA suppressed the gene expression levels by 80% to 99.9%. Knockdown experiments by dsRNA injection showed that multicopper oxidase 2 (MCO2), vacuolar ATPase (vATPase), inhibitor of apoptosis (IAP), and vacuolar-sorting protein Snf7 are essential for survival of P. stali, as has been demonstrated in other insects. By contrast, P. stali exhibited very low RNAi efficiency when dsRNA was orally administered. When 1000 ng/μL of dsRNA solution was orally provided to first-instar nymphs, no obvious phenotypes were observed. Consistent with this, RT-qPCR showed that the gene expression levels were not affected. A higher concentration of dsRNA (5000 ng/μL) induced mortality in some cohorts, and the gene expression levels were reduced to nearly 50%. Simultaneous oral administration of dsRNA against potential RNAi blocker genes did not improve the RNAi efficiency of the target genes. In conclusion, P. stali shows high sensitivity to RNAi with injected dsRNA but, unlike the allied pest stinkbugs Halyomorpha halys and Nezara viridula, very low sensitivity to RNAi with orally-delivered dsRNA, which highlights the varied sensitivity to RNAi across different species and limits the applicability of the molecular tool for controlling this specific insect pest.


2022 ◽  
Vol 12 ◽  
Author(s):  
Ningning Fu ◽  
Jiaxing Li ◽  
Ming Wang ◽  
Lili Ren ◽  
Shixiang Zong ◽  
...  

A strict relationship exists between the Sirex noctilio and the Amylostereum areolatum, which is carried and spread by its partner. The growth and development of this symbiotic fungus is key to complete the life history of the Sirex woodwasp. Real-time quantitative polymerase chain reaction (RT-qPCR) is used to measure gene expression in samples of A. areolatum at different growth stages and explore the key genes and pathways involved in the growth and development of this symbiotic fungus. To obtain accurate RT-qPCR data, target genes need to be normalized by reference genes that are stably expressed under specific experimental conditions. In our study, the stability of 10 candidate reference genes in symbiotic fungal samples at different growth and development stages was evaluated using geNorm, NormFinder, BestKeeper, delta Ct methods, and RefFinder. Meanwhile, laccase1 was used to validate the stability of the selected reference gene. Under the experimental conditions of this study, p450, CYP, and γ-TUB were identified as suitable reference genes. This work is the first to systematically evaluate the reference genes for RT-qPCR results normalization during the growth of this symbiotic fungus, which lays a foundation for further gene expression experiments and understanding the symbiotic relationship and mechanism between S. noctilio and A. areolatum.


2019 ◽  
Vol 53 (3) ◽  
pp. 323-330 ◽  
Author(s):  
Tanja Kosak Soklic ◽  
Matija Rijavec ◽  
Mira Silar ◽  
Ana Koren ◽  
Izidor Kern ◽  
...  

Abstract Background Chronic rhinosinusitis (CRS) current therapeutic approaches still fail in some patients with severe persistent symptoms and recurrences after surgery. We aimed to evaluate the master transcription factors gene expression levels of T cell subtypes in chronic rhinosinusitis with nasal polyps (CRSwNP) and chronic rhinosinusitis without nasal polyps (CRSsNP) that could represent new, up-stream targets for topical DNAzyme treatment. Patients and methods Twenty-two newly diagnosed CRS patients (14 CRSwNP and 8 CRSsNP) were prospectively biopsied and examined histopathologically. Gene expression levels of T-box transcription factor (T-bet, TBX21), GATA binding protein 3 (GATA3), Retinoic acid-related orphan receptor C (RORC) and Forkhead box P3 (FOXP3) were analyzed by real-time quantitative polymerase chain reaction (RT-qPCR). Results Eosinophilic CRSwNP was characterized by higher level of GATA3 gene expression compared to noneosinophilic CRSwNP, whereas there was no difference in T-bet, RORC and FOXP3 between eosinophilic and noneosinophilic CRSwNP. In CRSsNP, we found simultaneous upregulation of T-bet, GATA3 and RORC gene expression levels in comparison to CRSwNP; meanwhile, there was no difference in FOXP3 gene expression between CRSwNP and CRSsNP. Conclusions In eosinophilic CRSwNP, we confirmed the type 2 inflammation by elevated GATA3 gene expression level. In CRSsNP, we unexpectedly found simultaneous upregulation of T-bet and GATA3 that is currently unexplained; however, it might originate from activated CD8+ cells, abundant in nasal mucosa of CRSsNP patients. The elevated RORC in CRSsNP could be part of homeostatic nasal immune response that might be better preserved in CRSsNP patients compared to CRSwNP patients. Further data on transcription factors expression rates in CRS phenotypes are needed.


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