Housekeeping genes as internal standards: use and limits

Identification of stable reference genes in Edwardsiella ictaluri for accurate gene expression analysis

Edwardsiella ictaluri is a Gram-negative bacterium causing enteric septicemia of catfish (ESC), leading to significant economic losses in the catfish farming industry. RT-PCR analysis is a powerful technique for quantifying gene expression, but normalization of expression data is critical to control experimental errors. Using stable reference genes, also known as housekeeping genes, is a common strategy for normalization, yet reference gene selection often lacks proper validation. In this work, our goal was to determine the most stable reference genes in E. ictaluri during catfish serum exposure and various growth phases. To this goal, we evaluated the expression of 27 classical reference genes (16S rRNA, abcZ, adk, arc, aroE, aspA, atpA, cyaA, dnaG, fumC, g6pd, gdhA, glnA, gltA, glyA, grpE, gyrB, mdh, mutS, pgi, pgm, pntA, recA, recP, rpoS, tkt, and tpi) using five analytical programs (GeNorm, BestKeeper, NormFinder, Comparative ΔCT, and Comprehensive Ranking). Results showed that aspA, atpA, dnaG, glyA, gyrB, mutS, recP, rpoS, tkt, and tpi were the most stable reference genes during serum exposure, whereas fumC, g6pd, gdhA, glnA, and mdh were the least stable. During various growth phases, aspA, g6pd, glyA, gyrB, mdh, mutS, pgm, recA, recP, and tkt were the most stable, while 16S rRNA, atpA, grpE, and tpi were the least stable. At least four analysis methods confirmed the stability of aspA, glyA, gyrB, mutS, recP, and tkt during serum exposure and different growth stages. However, no consensus was found among the programs for unstable reference genes under both conditions.

Selection and validation of reference genes for gene expression studies of decidualization based on RNA sequencing

Decidualization is a multistep and complex physiological process used to aid the development of an implanting embryo. To date, the potential genes regulating decidualization have not been elucidated. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is widely used in gene expression studies, with relative quantification being the predominant method due to its simplicity, cost-effectiveness, and lower sample requirements. This method determines gene expression levels by normalizing to reference genes. However, the selection of stable reference genes for studies on decidualization remains a challenge. Based on the RNA-seq dataset from human endometrial stromal cells (ESCs) and differentiated ESCs (DESCs), ten new candidate reference genes were identified. The expression of these ten candidates, along with the commonly used reference gene β-actin, was measured in ESCs, DESCs, and decidual stromal cells (DSCs) through RTqPCR. Five algorithms were used to systematically identify suitable reference genes. The results indicated that Staufen double-stranded RNA binding protein 1 (STAU1) was most stable for induced decidualization in vitro, showing consistent expression in ESCs and DSCs. Using STAU1 as the reference gene, the expression levels of insulin like growth factor binding protein 1 and prolactin in DESCs were significantly higher than those in ESCs. Stau1 was further validated with both natural pregnancy and artificially induced decidualization mouse models. Based on our bioinformatics analysis, we also propose that kelch like family member 9 and TSC complex subunit 1 may serve as additional reference genes. Our findings offer valuable insights for gene expression studies of endometrial decidualization.

Nanozymes as a novel solution for oxidative stress reduction and nitrogen compound removal in aquatic systems: a study on common carp (Cyprinus carpio)

Antioxidants in fish are vital biomarkers when exposed to pollutants that cause oxidative stress. Among the most important components of the antioxidant defense system are the enzymes superoxide dismutase (SOD) and catalase (CAT). This study aimed to evaluate the potential of certain nanomaterials as nanozymes by mimicking the activity of SOD and CAT enzymes when added to the diet of common carp, simultaneously, removing the efficacy of nitrogen waste. To evaluate the effect of nanozymes on common carp fish, six types of experimental diets were used over 84 days. The study included six groups: a control group (T1) on a standard diet, and five groups supplemented with 1 mg kg⁻1 of potassium dichromate (K₂Cr₂O₇). Among these, T3 and T4 also received 1 mg kg⁻1 and 5 mg kg⁻1 of CeO₂ nanoparticles, respectively, while T5 and T6 were given 1 mg kg⁻1 and 5 mg kg⁻1 of Fe₃O₄ nanoparticles, respectively. The experiment aimed to study the effects of K₂Cr₂O₇ combined with varying doses of CeO₂ and Fe₃O₄ nanoparticles. The results of the current study indicated a significant reduction (P ≤ 0.05) in certain nitrogenous compounds (ammonia and nitrates) in water in nanozyme treatments. The study also demonstrated a significant improvement (P ≤ 0.05) in productive performance in (T6), a significant decrease (P ≤ 0.05) in liver enzyme activity in blood serum in (T3), and a significant increase (P ≤ 0.05) in glutathione peroxidase (GPx) enzyme activity in (T5). Furthermore, there was a significant increase (P ≤ 0.05) in the gene expression of the enzymes SOD and CAT in (T4), as well as the gene expression of the GPx enzyme in (T6). The current study concludes that CeO₂ and Fe₃O₄ nanoparticles can be added to fish diets as nanozymes to combat oxidative stress in fish by mimicking the activities of the body's antioxidant enzymes. Nanozymes seem to reduce nitrogenous pollutants via adsorption or possibly oxidation.

A Sorghum BAK1/SERK4 Homolog Functions in Pathogen-Associated Molecular Patterns-Triggered Immunity and Cell Death in Response to Colletotrichum sublineola Infection

Sorghum bicolor is the fifth most important cereal crop and expected to gain prominence due to its versatility, low input requirements, and tolerance to hot and dry conditions. In warm and humid environments, the productivity of sorghum is severely limited by the hemibiotrophic fungal pathogen Colletotrichum sublineola, the causal agent of anthracnose. Cultivating anthracnose-resistant accessions is the most effective and environmentally benign way to safeguard yield. A previous genome-wide association study for anthracnose resistance in the Sorghum Association Panel uncovered single-nucleotide polymorphisms on chromosome 5 associated with resistance to anthracnose, including one located within the coding region of gene Sobic.005G182400. In this study, we investigated the molecular function of Sobic.005G182400 in response to C. sublineola infection. Conserved domain, phylogenetic, and structural analyses revealed that the protein encoded by Sobic.005G182400 shares significant structural similarity with the Arabidopsis BRASSINOSTEROID INSENSITIVE1-ASSOCIATED RECEPTOR KINASE1 (BAK1)/SOMATIC EMBRYOGENESIS RECEPTOR-LIKE KINASE4 (SERK4). Although sequence analysis of four sorghum accessions showed no substantial variation in the coding region, accession SC1330, which carries the resistance allele, exhibited significantly higher expression of Sobic.005G182400 during early infection (≤24 h). Co-expression network analysis identified that the module associated with Sobic.005G182400 was enriched in genes involved in endocytosis, autophagy, and vesicle transport. Gene regulatory network analysis further suggested that Sobic.005G182400 regulates genes required for BAK1/SERK4-mediated cell death via protein glycosylation. Together, these findings indicate that Sobic.005G182400 encodes a protein with similarity to Arabidopsis BAK1/SERK4 that enables pathogen-associated molecular patterns-triggered immunity and regulates cell death.

Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness

Batch effect correction (BEC) is fundamental to integrate multiple single-cell RNA sequencing datasets, and its success is critical to empower in-depth interrogation for biological insights. However, no simple metric is available to evaluate BEC performance with sensitivity to data overcorrection, which erases true biological variations and leads to false biological discoveries. Here, we propose RBET, a reference-informed statistical framework for evaluating the success of BEC. Using extensive simulations and six real data examples including scRNA-seq and scATAC-seq datasets with different numbers of batches, batch effect sizes and numbers of cell types, we demonstrate that RBET evaluates the performance of BEC methods more fairly with biologically meaningful insights from data, while other methods may lead to false results. Moreover, RBET is computationally efficient, sensitive to overcorrection and robust to large batch effect sizes. Thus, RBET provides a robust guideline on selecting case-specific BEC method, and the concept of RBET is extendable to other modalities.

Evaluation of suitable reference genes for gene expression studies in the developing mouse cortex using RT-qPCR

BACKGROUND

Real-time quantitative PCR (RT-qPCR) is a widely used method to investigate gene expression in neuroscience studies. Accurate relative quantification of RT-qPCR requires the selection of reference genes that are stably expressed across the experimental conditions and tissues of interest. While RT-qPCR is often performed to investigate gene expression changes during neurodevelopment, few studies have examined the expression stability of commonly used reference genes in the developing mouse cortex.

RESULTS

Here, we evaluated the stability of five housekeeping genes, Actb, Gapdh, B2m, Rpl13a, and Hprt, in cortical tissue from mice at embryonic day 15 to postnatal day 0 to identify optimal reference genes with stable expression during late corticogenesis. The expression stability was assessed using five computational algorithms: BestKeeper, geNorm, NormFinder, DeltaCt, and RefFinder. Our results showed that B2m, Gapdh, and Hprt, or a combination of B2m/Gapdh and B2m/Hprt, were the most stably expressed genes or gene pairs. In contrast, Actb and Rpl13a were the least stably expressed.

CONCLUSION

This study identifies B2m, Gapdh, and Hprt as suitable reference genes for relative quantification in RT-qPCR-based cortical development studies spanning the period of embryonic day 15 to postnatal day 0.

Liushen Wan alleviates the virulence and inflammation of Staphylococcus aureus via NLRP3 inflammasome and TLR2-NF-κB/p38 MAPK signaling pathways

Infectious diseases have been a major threat to health worldwide, with bacterial infections being particularly prominent. Staphylococcus aureus (S. aureus) infections are associated with the most deaths. Inhibition of virulence factor and excessive inflammation induced by S. aureus has become a potential antibiotic alternative/synergistic therapy without causing greater survival pressure to prevent the emergence of "superbugs" in the future. Liushen Wan (LSW), a traditional Chinese medicine, used for multiple bacterial infectious diseases. In this work, we researched its therapeutic effect and explored the potential mechanism of LSW aiming at S. aureus in vivo and in vitro. Minimal inhibitory concentration (MIC) assay, hemolysis assay, invasion assay, staphyloxanthin assay and evolution of resistance assay were performed to show that LSW alleviated the virulence of S. aureus without suppressing S. aureus activity, and short-term use of LSW did not make bacteria resistant to it. Biofilm inhibition assay demonstrated that LSW inhibited the formation of biofilm and destroyed mature biofilm of S. aureus. In vitro experiments using RT-qPCR, ELISA and western blot analysis indicated LSW inhibited the inflammatory reaction triggered by HK-S. aureus and S. aureus through NLRP3 inflammasome and TLR2-NF-κB/p38 MAPK pathway. Moreover, LSW alleviated lung damage induced by S. aureus. Taken together, LSW is a promising antibacterial, anti-virulence and anti-inflammatory drug, which could provide the pharmacological basis on the traditional application of LSW for diseases associated with S. aureus infection in clinical.

Comprehensive analysis of housekeeping genes, tissue-specific genes, and dynamic regulation across developmental stages in pearl millet

BACKGROUND

Pearl millet (Pennisetum glaucum (L.) R. Br.) is a vital cereal crop, predominantly cultivated in arid and semi-arid regions of Asia and Africa. It serves as a staple food for millions, while also being utilized as forage and an energy crop. The crop's resistance to heat and drought, coupled with its high biomass, positions it as a promising candidate for climate-resilient agriculture. A detailed understanding of its gene expression patterns across various tissues and developmental stages is essential for enhancing its yield and quality. This study aims to fill this knowledge gap by employing RNA-seq to identify housekeeping genes (HKGs) and tissue-specific genes (TSGs) in pearl millet.

RESULTS

Our analysis of RNA-seq data from nine tissues (seed, germ, radicle, leaf, root, tillering tissue, stem, spike, and grain) across eight developmental stages in pearl millet accession Tifleaf3 revealed a comprehensive gene expression profile. We identified 461 HKGs that exhibited stable expression across all tissues and stages, providing robust internal references for RT-qPCR. Additionally, 8091 TSGs were discovered, many of which showed distinctive expression patterns in tissues such as spike, stem, and leaf. Functional enrichment analysis of these genes using GO and KEGG pathways highlighted their roles in key biological processes and pathways, indicating their potential in crop trait enhancement. Protein-protein interaction networks constructed for stem and leaf tissues further illuminated the regulatory mechanisms underlying the transition from vegetative to reproductive growth stages.

CONCLUSION

This study presents a detailed transcriptomic landscape of pearl millet, identifying a set of HKGs and TSGs that are crucial for understanding the molecular basis of its growth and development. We provided valuable options for transcript normalization and crucial targets for exploring gene function for the plant growth and development in pearl millet. The insights gained from this work are instrumental for breeding programs aimed at enhancing the productivity of pearl millet, thereby contributing to food and energy security.

Identification of reference genes for gene expression assessment in Avena sativa under biotic stress triggered by Blumeria graminis

A repeatable and reliable reverse transcription quantitative PCR (RT-qPCR) experiment depends upon proper reference genes (RGs) selection. This study aims to examine the expression stability of nine candidate RGs for the Avena sativa - Blumeria graminis experimental setup. B. graminis causes powdery mildew - the most devastating and economically important fungal disease of crops worldwide. RGs were evaluated in Pm3 and Pm4 oat differential lines and the susceptible cultivar Fuchs during compatible and incompatible interactions with different pathotypes of Blumeria graminis f. sp. avenae in six-time points post inoculation. The identification of genes exhibiting high expression stability was done by four algorithms (geNorm, NormFinder, BestKeeper and deltaCt). The results indicated that regardless of the analysed group, two most stable RGs are required for data normalization. The most sufficient RGs combination was HNR (heterogeneous nuclear ribonucleoprotein 27 C) + EIF4A (eukaryotic initiation factor 4 A‑3). ARF (ADP‑ribosylation factor) could also be pondered as demonstrating high expression stability. These genes can be considered universal candidates for RT-qPCR normalization to study interaction with B. graminis as well as Puccinia coronata and Puccinia graminis, as confirmed by our previous research. The worst candidate for data standardisation was TUA (α- tubulin). To our best knowledge, this is the first report regarding RGs' selection in this pathosystem. Identified RGs are proper normalisation candidates for gene expression studies in the A. sativa infected by B. graminis as well as other related pathogens.

Tbp and Hprt1 Are Appropriate Reference Genes for Splenic Neutrophils Isolated from Healthy or Tumor-Bearing Mice

Background/Objectives: Neutrophils have recently gained significant attention due to their heterogeneity in tumor settings. The gene expression profiles of neutrophils from different tumor types are of great interest. Murine splenic neutrophils reflect the immune status of the organism and could be a source of tumor-associated neutrophils in tumor-bearing mice. However, information about appropriate reference genes for RT-qPCR analysis of murine neutrophils in the literature is lacking. The aim of this study was to identify stably expressed reference genes in murine splenic neutrophils. Methods: Bone marrow- and spleen-derived neutrophils were isolated from healthy C57Bl/6 and CBA/LacSto mice. Spleen-derived neutrophils were isolated from mice with Lewis lung carcinoma (LLC) and drug-resistant lymphosarcoma (RLS40). RNA was isolated and used for RT-qPCR analysis of 10 selected reference genes. Analysis of reference gene stability was performed using four different algorithms (BestKeeper, NormFinder, geNorm, ΔCt method), and comprehensive ranking was constructed using RefFinder. Results: The Ct values for the reference genes were in the range of 16.73-30.83 with the highest expression levels observed for B2m and the lowest for Sdha. Differences in the stability ranking performed by different algorithms were observed; however, the overall ranking of the studied reference genes was as follows, from most to least stably expressed: Tbp, Hprt1, Ywhaz, B2m, Gapdh, Actb, Sdha, Eef2, Rack1, and Rpl13a. Using Tbp or Rpl13a for RT-qPCR data normalization significantly affected the interpretation of target gene expression. Conclusions: Tbp and Hprt1 are recommended reference genes for murine splenic neutrophils regardless of their activation status.

A systematic review on the selection of reference genes for gene expression studies in rodents: are the classics the best choice?

Rodents are commonly used as animal models in studies investigating various experimental conditions, often requiring gene expression analysis. Quantitative real-time reverse transcription PCR (RT-qPCR) is the most widely used tool to quantify target gene expression levels under different experimental conditions in various biological samples. Relative normalization with reference genes is a crucial step in RT-qPCR to obtain reliable quantification results. In this work, the main reference genes used in gene expression studies among the three rodents commonly employed in scientific research-hamster, rat, and mouse-are analyzed and described. An individual literature search for each rodent was conducted using specific search terms in three databases: PubMed, Scopus, and Web of Science. A total of 157 articles were selected (rats = 73, mice = 79, and hamsters = 5), identifying various reference genes. The most commonly used reference genes were analyzed according to each rodent, sample type, and experimental condition evaluated, revealing a great variability in the stability of each gene across different samples and conditions. Classic genes, which are expected to be stably expressed in both samples and conditions analyzed, demonstrated greater variability, corroborating existing concerns about the use of these genes. Therefore, this review provides important insights for researchers seeking to identify suitable reference genes for their validation studies in rodents.

Identification of Reference Gene for Quantitative Gene Expression in Early-Term and Late-Term Cultured Canine Fibroblasts Derived from Ear Skin

Fibroblasts are cells that reside within the fibrous or loose connective tissues of most mammalian organs. For research purposes, fibroblasts are often subjected to long-term culture under defined conditions, during which their properties can significantly change. It is essential to understand and document these changes to obtain reliable outcomes. For the quantification of specific gene expressions, the most reliable and widely used technique is quantitative real-time polymerase chain reaction (qRT-PCR). Here, we assessed the impact of a reference gene's stability on a qRT-PCR analysis of long-term cultured canine skin fibroblasts. After successfully isolating the fibroblasts from canine skin tissues, they were cultured and evaluated for proliferation and β-galactosidase activity at different passage numbers. With extended culture, the fibroblasts showed a long doubling time and elevated β-galactosidase activity. Using three widely used algorithms, geNorm, Normfinder, and Bestkeeper, we identified HPRT1, YWHAZ, and GUSB as the most stable reference genes for both early- and late-passage fibroblasts. Conventional reference genes such as GAPDH were found to be less stable than those genes. The normalization of Vimentin by the stable genes showed statistical differences, whereas normalization by an unstable gene did not. Collectively, this study indicates that using stable reference genes is essential for accurately and reliably measuring gene expression in both early- and late-passage fibroblasts. These findings provide valuable insights into internal controls for gene expression studies and are expected to be utilized for analyzing gene expression patterns in molecular biology research.

Selection and Validation of Reference Genes for Quantitative Real-Time PCR Analysis in Cockroach Parasitoid Tetrastichus hagenowii (Ratzeburg)

Parasitoid wasps play a crucial role in the efficient control of pests, a substantial menace to human health and well-being. Tetrastichus hagenowii (Ratzeburg) stands out as the most effective egg parasitoid wasp for controlling American cockroaches, but accurate and stable reference genes for quantitative real-time polymerase chain reaction of T. hagenowii genes are still lacking. In this study, we assessed seven candidate nuclear genes, including α-tubulin (α-TUB), elongation factor-1-alpha (EF-1α), β-actin (Actin), ribosomal protein 49 (RP49), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), nicotinamide adenine dinucleotide (NADH), and elongation factor 2 (EF2) of T. hagenowii. By analyzing expression stability with four algorithms (Delta Ct, geNorm, NormFinder, and BestKeeper), as well as comprehensive ranking with RefFinder, we identified α-TUB as the most stable reference gene for the larval, pupal, female adult, and male adult stages. Subsequently, we estimated the transcript levels of vitellogenin (Vg) and cuticle protein (CP) after normalization with α-TUB across various developmental stages. Significantly higher expression levels of CP and Vg were observed in pupae and female adults, respectively, consistent with previous findings in other insects. This study offers a reliable reference gene for normalizing transcription levels of T. hagenowii genes.

Resolving the current controversy of use and reuse of housekeeping proteins in ageing research: Focus on saving people's tax dollars

The use of housekeeping genes and proteins to normalize mRNA and protein levels in biomedical research has faced growing scrutiny. Researchers encounter challenges in determining the optimal frequency for running housekeeping proteins such as β-actin, Tubulin, and GAPDH for nuclear-encoded proteins, and Porin, HSP60, and TOM20 for mitochondrial proteins alongside experimental proteins. The regulation of these proteins varies with age, gender, disease progression, epitope nature, gel running conditions, and their reported sizes can differ among antibody suppliers. Additionally, anonymous readers have raised concerns about peer-reviewed and published articles, creating confusion and concern within the research and academic institutions. To clarify these matters, this minireview discusses the role of reference housekeeping proteins in Western blot analysis and outlines key considerations for their use as normalization controls. Instead of Western blotting of housekeeping proteins, staining of total proteins, using Amido Black and Coomassie Blue can be visualized the total protein content on a membrane. The reducing repeated Western blotting analysis of housekeeping proteins, will save resources, time and efforts and in turn increase the number of competitive grants from NIH and funding agencies. We also discussed the use of dot blots over traditional Western blots, when protein levels are low in rare tissues/specimens and cell lines. We sincerely hope that the facts, figures, and discussions presented in this article will clarify the current controversy regarding housekeeping protein(s) use, reuse, and functional aspects of housekeeping proteins. The contents presented in our article will be useful to students, scholars and researchers of all levels in cell biology, protein chemistry and mitochondrial research.

Assessment of reference genes for qRT-PCR normalization to elucidate host response to African swine fever infection

Viral infection disrupts the normal regulation of the host gene's expression. In order to normalise the expression of dysregulated host genes upon virus infection, analysis of stable reference housekeeping genes using quantitative real-time-PCR (qRT-PCR) is necessary. In the present study, healthy and African swine fever virus (ASFV) infected porcine tissues were assessed for the expression stability of five widely used housekeeping genes (HPRT1, B2M, 18 S rRNA, PGK1 and H3F3A) as reference genes using standard algorithm. Total RNA from each tissue sample (lymph node, spleen, kidney, heart and liver) from healthy and ASFV-infected pigs was extracted and subsequently cDNA was synthesized, and subjected to qRT-PCR. Stability analysis of reference genes expression was performed using the Comparative delta CT, geNorm, BestKeeper and NormFinder algorithm available at RefFinder for the different groups. Direct Cycle threshold (CT) values of samples were used as an input for the web-based tool RefFinder. HPRT1 in spleen, 18 S rRNA in liver and kidney and H3F3A in heart and lymph nodes were found to be stable in the individual healthy tissue group (group A). The majority of the ASFV-infected organs (liver, kidney, heart, lymph node) exhibited H3F3A as stable reference gene with the exception of the ASFV-infected spleen, where HPRT1 was found to be the stable gene (group B). HPRT1 was found to be stable in all combinations of all CT values of both healthy and ASFV-infected porcine tissues (group C). Of five different reference genes investigated for their stability in qPCR analysis, the present study revealed that the 18 S rRNA, H3F3A and HPRT1 genes were optimal reference genes in healthy and ASFV-infected different porcine tissue samples. The study revealed the stable reference genes found in healthy as well as ASF-infected pigs and these reference genes identified through this study will form the baseline data which will be very useful in future investigations on gene expression in ASFV-infected pigs.

Screening of reliable reference genes for the normalization of RT-qPCR in chicken oviduct tract

Utilizing publicly available RNA-seq data to screen for ideal reference genes is more efficient and accurate than traditional methods. Previous studies have identified optimal reference genes in various chicken tissues, but none have specifically focused on the oviduct (including the infundibulum, magnum, isthmus, uterus, and vagina), which is crucial for egg production. Identifying stable reference genes in the oviduct is essential for improving research on gene expression levels. This study investigated genes with consistent expression patterns in the chicken oviduct, encompassing both individual oviduct tract tissues and the entire oviduct, by utilizing multiple RNA-seq datasets. The screening results revealed the discovery of 100 novel reference genes in each segment of oviduct tissues, primarily associated with cell cycle regulation and RNA binding. Moreover, the majority of housekeeping genes (HKGs) showed inconsistent expression levels across distinct samples, suggesting their lack of stability under varying conditions. The stability of the newly identified reference genes was assessed in comparison to previously validated stable reference genes in chicken oviduct and commonly utilized HKGs, employing traditional reference gene screening methods. HERPUD2, CSDE1, VPS35, PBRM1, LSM14A, and YWHAB were identified to be suitable novel reference gene for different parts of the oviduct. HERPUD2 and YWHAB were reliable for gene expression normalization throughout the oviduct tract. Furthermore, overexpression and interference assays in DF1 cells showed LSM14A and YWHAB play a crucial role in cell proliferation, highlighting the importance of these newly reference genes for further research. Overall, this study has expanded the options for reference genes in RT-qPCR experiments in different segments of the chicken oviduct and the entire oviduct.

Really the best of both? Application of an mRNA/miRNA multiplex assay to casework samples, animal samples, and a storage study

The identification of body fluids is an important area of forensic genetics. In particular, the susceptibility to degradation of casework samples is of crucial importance, as the traces can often be exposed to different environmental conditions over a long period of time. RNAs especially are used as molecular markers for the identification of body fluids in forensics. Messenger RNAs (mRNAs) show an increased susceptibility to degradation, e.g. under humidity and UV radiation but are highly body fluid-specific. The shorter micro RNAs (miRNAs), however, are less susceptible to degradation, but only a few body fluid-specific markers could be investigated. In this study, a self-developed mRNA/miRNA multiplex assay for capillary electrophoresis from a preliminary study was further adapted and validated. The approach was applied to casework samples, animal samples, and a storage study. The advantages and disadvantages of the mRNA/miRNA assay were investigated in order to review a possible application for forensic casework. Some miRNA markers were also detected in animal samples, which once again underlines the possible non-specificity of miRNAs. In the storage study, the different markers were detected for different lengths of time depending on the body fluid examined. For almost all body fluids, the miRNA markers were still detectable after a period of 35 days under environmental conditions compared to the mRNA markers. The mRNA peaks were often already clearly reduced or no longer detectable after 14 days. The results show the advantage of the new mRNA/miRNA assay compared to established mRNA approaches, especially for older and degraded samples, but the assay has its limitations due to the limited number of specific miRNA markers.

Comprehensive Screening and Validation of Stable Internal Reference Genes for Accurate qRT-PCR Analysis in Holotrichia parallela under Diverse Biological Conditions and Environmental Stresses

Holotrichia parallela is among the world's most destructive pests. For accurate qPCR and gene expression studies, the selection of stable and appropriate reference genes is crucial. However, a thorough evaluation of potential reference genes for use in H. parallela research is lacking. In this study, 11 reference genes (GAPDH, RPL32, RPL7A, RPS18, RPL13a, RPL18, Actin, RPS7, RPS3, VATB,and EF1A) were evaluated under different biological conditions and environmental stresses. The stability of 11 potential reference gene transcripts was evaluated through various computational tools, including geNorm, BestKeeper, NormFinder, theΔCt method, and the RefFinder program. Under various developmental stages and RNAi conditions, RPL18 and RPL13a exhibited the greatest stability. RPL13a, RPL18, and RPL32 were the most stable genes in both male and female adults. Under differing tissue conditions, RPL13a and RPS3 stood out as the most reliable. Moreover, under varying photoperiod conditions, RPL13a, RPS3 and RPL32 were the most stable genes. Lastly, Actin and RPL13a were the most stable genes across different temperatures. These findings offer essential criteria for selecting suitable reference genes across diverse experimental settings, thereby establishing a solid basis for accurate gene expression studies in H. parallela using RT-qPCR.

Selection and Validation of Reference Genes in Dendrocalamus brandisii for Quantitative Real-Time PCR

Dendrocalamus brandisii (Munro) Kurz is a sympodial bamboo species with a wide distribution in tropical and subtropical regions. Due to its remarkable regenerative ability and exceptional flavor, this species plays a pivotal role in bolstering the economies of numerous nations across these regions. We recently published a high-quality genome of this species. To date, no study results have identified the optimal reference genes for quantitative real-time polymerase chain reaction (qRT-PCR) normalization in Dendrocalamus brandisii. qRT-PCR offers a highly accurate and effective approach to analyzing gene expression. However, the precision of the resulting quantitative data hinges on the correct choice of reference genes. Twenty-one potential reference genes were identified from the D. brandisii transcriptomes. Their expression in 23 samples, including 8 different tissue organs and 15 samples of D. brandisii under various treatment conditions, were evaluated through qRT-PCR. Subsequently, four software programs-Delta CT, geNorm, NormFinder, and RefFinder-were employed to compare their expression stability. The results revealed that the selection of optimal reference genes varied based on the particular organ and condition being examined. EF-1-α-2 consistently exhibits the most stable expression across diverse tissues, while ACTIN-1, TUBULIN-1, and EF-1-α-2 were the most consistent reference genes in roots, culms, and leaves under various treatments, respectively. In this study, we identified and characterized appropriate internal genes utilized for calibrating qRT-PCR analyses of D. brandisii across different tissue organs and under various treatments. This research will provide key insights for advancing the study of gene functionality and molecular biology in D. brandisii and related species.

Transcriptomic profiling reveals histone acetylation-regulated genes involved in somatic embryogenesis in Arabidopsis thaliana

BACKGROUND

Somatic embryogenesis (SE) exemplifies the unique developmental plasticity of plant cells. The regulatory processes, including epigenetic modifications controlling embryogenic reprogramming of cell transcriptome, have just started to be revealed.

RESULTS

To identify the genes of histone acetylation-regulated expression in SE, we analyzed global transcriptomes of Arabidopsis explants undergoing embryogenic induction in response to treatment with histone deacetylase inhibitor, trichostatin A (TSA). The TSA-induced and auxin (2,4-dichlorophenoxyacetic acid; 2,4-D)-induced transcriptomes were compared. RNA-seq results revealed the similarities of the TSA- and auxin-induced transcriptomic responses that involve extensive deregulation, mostly repression, of the majority of genes. Within the differentially expressed genes (DEGs), we identified the master regulators (transcription factors - TFs) of SE, genes involved in biosynthesis, signaling, and polar transport of auxin and NITRILASE-encoding genes of the function in indole-3-acetic acid (IAA) biosynthesis. TSA-upregulated TF genes of essential functions in auxin-induced SE, included LEC1/LEC2, FUS3, AGL15, MYB118, PHB, PHV, PLTs, and WUS/WOXs. The TSA-induced transcriptome revealed also extensive upregulation of stress-related genes, including those related to stress hormone biosynthesis. In line with transcriptomic data, TSA-induced explants accumulated salicylic acid (SA) and abscisic acid (ABA), suggesting the role of histone acetylation (Hac) in regulating stress hormone-related responses during SE induction. Since mostly the adaxial side of cotyledon explant contributes to SE induction, we also identified organ polarity-related genes responding to TSA treatment, including AIL7/PLT7, RGE1, LBD18, 40, HB32, CBF1, and ULT2. Analysis of the relevant mutants supported the role of polarity-related genes in SE induction.

CONCLUSION

The study results provide a step forward in deciphering the epigenetic network controlling embryogenic transition in somatic cells of plants.

Evaluation and Validation of Reference Genes for Gene Expression Analysis Using qRT-PCR in the Sugarcane Stem Borer Chilo sacchariphagus (Lepidoptera: Pyralidae)

Chilo sacchariphagus (Lepidoptera: Pyralidae) is an economically important sugarcane pest. Although numerous studies were conducted on the physiological responses in C. sacchariphagus, little is known regarding the genes regulating these physiological processes. Gene expression analysis by qRT-PCR can offer a significant indication for functional gene studies. To our knowledge, the reference genes of C. sacchariphagus have not been screened or evaluated, which hinders the functional gene study. In the present study, the stability of seven reference genes (β-ACT, GAPDH, BTF3, 28S, RPL7, EF1α, and SDHA) was evaluated in C. sacchariphagus under different experimental conditions, including tissues (antenna, head, thorax, abdomen, leg, and wing), temperatures (4 °C, 25 °C, and 37 °C) and sexes (male and female), through RefFinder, which integrates four algorithms (Normfinder, BestKeeper, ΔCt method, and geNorm). The findings suggested that the combination of β-ACT and RPL7 is ideal to analyze gene expressions in different tissues and at distinct temperatures, and EF1α and SDHA were suitable reference genes for comparing gene expressions between sexes. Finally, the expression profiles of CsacPBP1 gene were evaluated, and the outcomes further confirm the importance of selecting fitting reference genes for normalization of qRT-PCR data. This study represents the first kind in screening out suitable reference genes for gene expression analysis in C. sacchariphagus. Information from this study is poised to galvanize future inquiry into the gene expression of C. sacchariphagus, an economically important pest of sugarcane.

Screening of reliable reference genes for the normalization of RT-qPCR in chicken liver tissues and LMH cells

The liver plays a vital role in lipid synthesis and metabolism in poultry. To study the functional genes more effectively, it is essential to screen of reliable reference genes in the chicken liver, including females, males, embryos, as well as the Leghorn Male Hepatoma (LMH) cell line. Traditional reference gene screening involves selecting commonly used housekeeping genes (HKGs) for RT-qPCR experiments and using different algorithms to identify the most stable ones. However, this approach is limited in selecting the best reference gene from a small pool of HKGs. High-throughput sequencing technology may offer a solution to this limitation. This study aimed to identify the most consistently expressed genes by utilizing multiple published RNA-seq data of chicken liver and LMH cells. Subsequently, the stability of the newly identified reference genes was assessed in comparison to previously validated stable poultry liver expressed reference genes and the commonly employed HKGs using RT-qPCR. The findings indicated that there is a higher degree of similarity in stable expression genes between female and male liver (such as LSM14A and CDC40). In embryonic liver, the optimal new reference genes were SUDS3, TRIM33, and ERAL1. For LMH cells, the optimal new reference genes were ALDH9A1, UGGT1, and C21H1orf174. However, it is noteworthy that most HKGs did not exhibit stable expression across multiple samples, indicating potential instability under diverse conditions. Furthermore, RT-qPCR experiments proved that the stable expression genes identified from RNA-seq data outperformed commonly used HKGs and certain validated reference genes specific to poultry liver. Over all, this study successfully identified new stable reference genes in chicken liver and LMH cells using RNA-seq data, offering researchers a wider range of reference gene options for RT-qPCR in diverse situations.

Selection of reference genes for normalizing gene expression data across seasons in spermatozoa of water buffalo (Bubalus bubalis)

Selection of the most stably expressed reference genes is key to monitoring accurate target gene expression across any tissue or cell type. The mRNA in spermatozoa stores valuable information related to changes in spermatogenesis due to variations in environmental conditions, especially during heat stress, which affects various sperm functions. Semen quality in buffalo bulls is significantly influenced by the seasons. In the study, a panel of nine genes was evaluated to identify the most stably expressed internal control gene (ICG) for the normalization of real-time gene expression data generated across various seasons for Murrah buffalo bulls' spermatozoa. Sperm cells were purified from the semen samples collected during different seasons, with temperature-humidity index (THI) ranging from 80.80 ± 1.47 (hot summer) to 55.88 ± 1.98 (winter), using the BoviPure™ gradient purification method. The RNA isolated from the purified spermatozoa fraction was quality checked prior to reverse transcription and subjected to qPCR (quantitative real-time PCR) based expression analysis. An automated 'endoGene' pipeline was employed to apply the geNorm, NormFinder, and BestKeeper algorithms for data analysis. The result indicated that GAPDH and PP1A were the most stably expressed among the gene panel, whereas ATPSF1 and ACTB were the two least stable expressed reference genes. Further, the most suitable ICGs identified were validated by normalization of real time expression data of heat stress and sperm quality genes, HSFY2 and AKAP4, respectively. The genes identified would help in generating the most reliable results for the expression profiling of the genes dictating sperm quality and heat stress cope-up mechanism in buffalo spermatozoa, collected during different seasons.

Identification of suitable reference genes for RT-qPCR studies in human parathyroid tissue glandular cells

Identifying a proper reference gene allows us to understand fundamental changes in many biological processes. Normalization during gene expression analyses is essential for every tissue/cell type, including parathyroid tissue glandular cells. Quantitative method of gene expression analyses via qRT-PCR method provides the accurate examination of every target gene. There are limited reports to present commonly used reference genes in human parathyroid tissues rather than for glandular cell types. This study aims to determine and compare the most stable to least stable genes for parathyroid tissue cells. 43 human parathyroid tissue obtained from primary and secondary hyperparathyroidism patients and glandular cells isolated enzymatically by the removal of extracellular matrix components. After extraction of the total RNA, cDNA synthesis was performed, then qRT-PCR evaluated 14 candidate reference genes. Stability was determined by RefFinder software (Delta ct, BestKeeper, Genorm, and NormFinder algorithms), and the outcome was evaluated for five groups. Even if assessed with different groups, the most stable genes were RPLP0 and GAPDH, while the CLTC and RNA 18S were the least stable. We have confirmed the comprehensive ranking of the most stable three genes alone with the NormFinder algorithm to understand intergroup variation and found out that RPLP0>GAPDH>PGK1. Lastly, comparisons of relative target gene (GCM2) expression revealed similar expression patterns for the most stable reference genes. The most stable reference gene is recommended for the stages where stability is evaluated using the results of four different approaches using RefFinder. We aspire for this study to assist future research to conduct thorough assessments of appropriate reference genes before engaging in gene expression analyses for parathyroid tissue.

A protocol for identifying universal reference genes within a genus based on RNA-Seq data: a case study of poplar stem gene expression

Real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) plays a crucial role in relative gene expression analysis, and accurate normalization relies on suitable reference genes (RGs). In this study, a pipeline for identifying candidate RGs from publicly available stem-related RNA-Seq data of different Populus species under various developmental and abiotic stress conditions is presented. DESeq2's median of ratios yielded the smallest coefficient of variance (CV) values in a total of 292 RNA-Seq samples and was therefore chosen as the method for sample normalization. A total of 541 stably expressed genes were retrieved based on the CV values with a cutoff of 0.3. Universal gene-specific primer pairs were designed based on the consensus sequences of the orthologous genes of each Populus RG candidate. The expression levels of 12 candidate RGs and six reported RGs in stems under different abiotic stress conditions or in different Populus species were assessed by RT-qPCR. The expression stability of selected genes was further evaluated using ΔCt, geNorm, NormFinder, and BestKeeper. All candidate RGs were stably expressed in different experiments and conditions in Populus. A test dataset containing 117 RNA-Seq samples was then used to confirm the expression stability, six candidate RGs and three reported RGs met the requirement of CV ≤ 0.3. In summary, this study was to propose a systematic and optimized protocol for the identification of constitutively and stably expressed genes based on RNA-Seq data, and Potri.001G349400 (CNOT2) was identified as the best candidate RG suitable for gene expression studies in poplar stems.

Selection of stable reference genes for qPCR expression of Colletotrichum lindemuthianum, the bean anthracnose pathogen

Phaseolus vulgaris L., commonly known as the common bean, is a highly nutritious crop often called the "poor man's meat". However, it is susceptible to various diseases throughout the cropping season, with anthracnose caused by Colletotrichum lindemuthianum being a significant threat that leads to substantial losses. There is still a lack of understanding about the molecular basis of C. lindemuthianum pathogenicity. The first step in understanding this is to identify pathogenicity genes that express more during infection of common beans. A reverse transcription quantitative real-time PCR (qPCR) method can be used for virulence gene expression. However, this approach requires selecting appropriate reference genes to normalize relative gene expression data. Currently, there is no reference gene available for C. lindemuthianum. In this study, we selected eight candidate reference genes from the available genome of C. lindemuthianum to bridge the gap. These genes were ACT (Actin), β-tub (β-tubulin), EF (Elongation Factor), Cyt C (Cytochrome C), His H3 (Histone H3), CHS1 (Chitin synthetase), GAPDH (Glyceraldehyde-3-phosphate dehydrogenase) and abfA (Alpha-l-Arabinofuranosidase A). The primers for these candidate reference genes were able to amplify cDNA only from the pathogen, demonstrating their specificity. The qPCR efficiency of the primers ranged from 80% to 103%. We analyzed the stability of gene expression in C. lindemuthianum by exposing the mycelium to nine different stress conditions. We employed algorithms, such as GeNorm, NormFinder, BestKeeper, and RefFinder tools, to identify the most stable gene. The analysis using these tools revealed that EF, GAPDH, and β-tub most stable genes, while ACT and CHS1 showed relatively low expression stability. A large number of potential effector genes have been identified through bioinformatics analysis in C. lindemuthianum. The stable genes for qPCR (EF and GAPDH) discovered in this study will aid the scientific community in determining the relative expression of C. lindemuthianum effector genes.

Characterizing reference genes for high-fidelity gene expression analysis under different abiotic stresses and elicitor treatments in fenugreek leaves

BACKGROUND

Quantifying gene expression is a critical aspect of applied genomics research across all organisms, and real-time PCR has emerged as a powerful tool for this purpose. However, selecting appropriate internal control genes for data normalization presents specific challenges. This study aimed to identify suitable reference genes for gene expression analysis under various conditions, encompassing salinity, low and high-temperature stresses, and different elicitor treatments. These treatments included titanium dioxide, cold plasma, 24-epibrassinolide, and melatonin, resulting in a total of 13 unique treatments and 148 treatment combinations applied to fenugreek plants.

RESULTS

As per the analysis performed with the BestKeeper tool, EEF-1α, and GAPDH were recognized as the most stable reference genes under the majority of conditions. Furthermore, the GeNorm and NormFinder tools identified β-tubulin and EEF-1α as the most stable reference genes. The findings of this research demonstrated that, although the stability of three reference genes expression was acceptable in almost all evaluated treatments, fluctuations in their expression were observed under the treatments of cold stress with TiO2 NPs application, cold plasma application with salinity stress, and cold plasma application with high-temperature stress compared to others. Simultaneously, the GeNorm analysis results demonstrated that in the mentioned treatments, relying on only one reference gene is inadequate. To corroborate the results, we examined the expression profile of the SSR gene, a pivotal gene in diosgenin biosynthesis, under all investigated treatments and treatment combinations. The outcomes suggested that employing stable reference genes yielded highly consistent results.

CONCLUSIONS

The varying expression patterns of the target genes emphasize the crucial need for precise optimization of experimental conditions and selecting stable reference genes to achieve accurate results in gene expression studies utilizing real-time PCR. These findings offer valuable insights into the selection of appropriate reference genes for gene expression analysis under diverse conditions using real-time PCR.

Identification and validation of stable reference genes for expression profiling of target genes in diverse ovine tissues

Quantitative PCR (qPCR) is a widely-used technique for quantifying the expression of target genes across various tissues, as well as under different pathological and physiological conditions. One of the challenges associated with this method is the need to identify optimal reference genes (RGs) that maintain consistent expression levels under diverse experimental settings, thereby ensuring accurate biological interpretation. In this study, we conducted a thorough analysis of 18 candidate RGs (ACTB, BACH1, B2M, GAPDH, HMBS, HPRT1, PGK1, PPIA, PPIB, RPLP0, RPL19, RPS9, RPS15, RPS28, SDHA, TBP, UXT, and YWHAZ) across 10 ovine tissues (muscle, skin, kidney, liver, intestine, rumen, lung, testis, heart, and spleen) obtained from five individual sheep. We aimed to identify genes with stable expression across these tissues. A literature-based survey helped us shortlist candidate genes representing various functional classes from multiple livestock species. We employed four algorithms: geNorm, NormFinder, BestKeeper, and Delta Ct (ΔCt), to rank these genes based on their stability. A consistent trend in the rankings was observed across these different algorithms. RefFinder was then used for a comprehensive ranking, integrating the outputs from the various methods. ACTB, PPIB, BACH1, and B2M emerged as the most stable RGs, while RPS9, RPS15, and PGK1 displayed variable expression. We validated our findings through qPCR analysis of four target genes (ACTN2, CRYAB, DLK1, and TRIM54) in the skin samples from two different sheep breeds. Based on these results, we recommend ACTB, PPIB, BACH1, and B2M as reliable internal control genes for qPCR experiments involving diverse ovine tissues.

Knockdown of TFAP2E results in rapid G2/M transition in oral squamous cell carcinoma cells

TFAP2E is a member of the activator protein-2 transcription factor family and acts as a tumor suppressor in several types of cancer. Downregulation of TFAP2E expression is significantly associated with a shorter overall survival period in patients with oral squamous cell carcinoma (OSCC). To evaluate the molecular mechanisms by which TFAP2E suppresses the development or progression of OSCC, the present study investigated the effects of TFAP2E downregulation on OSCC-derived Ca9-22 and HSC-4 cells. The present study demonstrated that small interfering RNA mediated-knockdown of TFAP2E accelerated the proliferation of these OSCC cell lines compared with that in the control group, as determined by the standard water-soluble tetrazolium salt-8 assay. To analyze the cell cycle progression rate, the cell cycle distribution patterns of TFAP2E-knockdown and control cells cultured in the presence of nocodazole, which prevents the completion of mitosis, were analyzed by fluorescence-activated cell sorting at different time points. When analyzing cellular DNA contents, no major differences in cell cycle profiles were observed; however, the rate of increase in cells positive for histone H3 Serine 28 phosphorylation, a standard molecular marker of early M phase, was significantly higher in TFAP2E-knockdown cells than in the control cells. Collectively, these results suggested that TFAP2E may attenuate the proliferation of OSCC cells by regulating G2/M transition.

Grafting seedling rootstock strengthens tolerance to drought stress in polyploid mulberry (Morus alba L.)

The economically adaptable mulberry (Morus alba L.) has a long history of grafting in China, yet the physiological mechanisms and advantages in drought tolerance remain unexplored. In our study, we investigated the responses of self-rooted 2X (diploid), 3X (triploid), and 4X (tetraploid) plants, as well as polyploid plants grafted onto diploid seedling rootstocks (2X/2X, 3X/2X, and 4X/2X) under drought stress. We found that self-rooted diploid plants exhibited the most severe phenotypic damage, lowest water retention, photosynthetic capacity, and the least effective osmotic stress adjustment compared to tetraploid and triploid plants. However, grafted diploid and triploid plants showed effective mitigation of drought-induced damage, with higher relative water content and improved soil water retention. Grafted plants also improved the photosystem response to drought stress through elevated photosynthetic potential, closed stomatal aperture, and faster recovery of chlorophyll biosynthesis in the leaves. Additionally, grafted plants altered osmotic protective compound levels, including starch, soluble sugar, and proline content, thereby enhancing drought resistance. Absolute quantification PCR indicated that the expression levels of proline synthesis-related genes in grafted plants were not influenced after drought stress, whereas they were significantly increased in self-rooted plants. Consequently, our findings support that self-rooted triploid and tetraploid mulberries exhibited superior drought resistance compared to diploid plants. Moreover, grafting onto seedling rootstocks enhanced tolerance against drought stress in diploid and triploid mulberry, but not in tetraploid. Our study provides valuable insights for a comprehensive analysis of physiological effects in response to drought stress between stem-roots and seedling rootstocks.

Evaluation and normalization of a set of reliable reference genes for quantitative sgk-1 gene expression analysis in Caenorhabditis elegans-focused cancer research

Multiple signaling pathways have been discovered to play a role in aging and longevity, including the insulin/IGF-1 signaling system, AMPK pathway, TOR signaling, JNK pathway, and germline signaling. Mammalian serum and glucocorticoid-inducible kinase 1 (sgk-1), which has been associated with various disorders including hypertension, obesity, and tumor growth, limits survival in C. elegans by reducing DAF-16/FoxO activity while suppressing FoxO3 activity in human cell culture. C. elegans provides significant protection for a number of genes associated with human cancer. The best known of these are the lin-35/pRb (mammalian ortholog pRb) and CEP-1 (mammalian ortholog p53) genes. Therefore, in this study, we aimed to investigate the expression analyzes of sgk-1, which is overexpressed in many types of mammalian cancer, in mutant lin-35 and to demonstrate the validation of reference genes in wild-type N2 and mutant lin-35 for C. elegans-focused cancer research. To develop functional genomic studies in C. elegans, we evaluated the expression stability of five candidate reference genes (act-1, ama-1, cdc-42, pmp-3, iscu-1) by quantitative real-time PCR using five algorithms (geNorm, NormFinder, Delta Ct method, BestKeeper, RefFinder) in N2 and lin-35 worms. According to our findings, act-1 and cdc-42 were effective in accurately normalizing the levels of gene expression in N2 and lin-35. act-1 and cdc-42 also displayed the most consistent expression patterns, therefore they were utilized to standardize expression level of sgk-1. Furthermore, our results clearly showed that sgk-1 was upregulated in lin-35 worms compared to N2 worms. Our results highlight the importance of definitive validation using mostly expressed reference genes.

Advancements in Reference Gene Selection for Fruit Trees: A Comprehensive Review

Real-time quantitative polymerase chain reaction (qRT-PCR) has been widely used in gene expression analyses due to its advantages of sensitivity, accuracy and high throughput. The stability of internal reference genes has progressively emerged as a major factor affecting the precision of qRT-PCR results. However, the stability of the expression of the reference genes needs to be determined further in different cells or organs, physiological and experimental conditions. Methods for evaluating these candidate internal reference genes have also evolved from simple single software evaluation to more reliable and accurate internal reference gene evaluation by combining different software tools in a comprehensive analysis. This study intends to provide a definitive reference for upcoming research that will be conducted on fruit trees. The primary focus of this review is to summarize the research progress in recent years regarding the selection and stability analysis of candidate reference genes for different fruit trees.

Evaluation of Reference Genes for Quantitative Real-Time PCR Analysis in the Bean Bug, Riptortus pedestris (Hemiptera: Alydidae)

Quantitative real-time PCR (qRT-PCR) is widely accepted as a precise and convenient method for quantitatively analyzing the expression of functional genes. The data normalization strongly depends upon stable reference genes. The bean bug, Riptortus pedestris (Hemiptera: Alydidae), is a significant pest of leguminous crops and broadly distributed across Southeast Asia. In this study, a total of 16 candidate reference genes (RPL32, RPS23, SDHA, UBQ, UCCR, GST, TATA-box, HSP70, GAPDH, RPL7A, SOD, RPS3, Actin, α-tubulin, AK, and EF1) were carefully chosen in R. pedestris, and their expression levels were assessed across various conditions, including different developmental stages, diverse tissues, temperature treatments, adult age, molting time, and mating status. Following this, the stability of these reference genes was evaluated using four algorithms (ΔCt, GeNorm, NormFinder, and BestKeeper). Ultimately, the comprehensive rankings were determined using the online tool RefFinder. Our results demonstrate that the reference gene for qRT-PCR analysis in R. pedestris is contingent upon the specific experimental conditions. RPL7A and EF1 are optimal reference genes for developmental stages. Furthermore, α-tubulin and EF1 exhibit the most stable expression across various adult tissues. RPL32 and RPL7A exhibit the most stable expression for adult age. For nymph age, RPL32 and SOD display the most stable expression. For temperature conditions, RPS23 and RPL7A were identified as the most suitable for monitoring gene expression. Lastly, we verified the practicability of evaluating expression levels of odorant-binding protein 37 (RpedOBP37) and cytochrome P450 6a2 (RpedCYP6) throughout developmental stages, tissues, and temperature conditions. These findings are a significant addition to the qRT-PCR analysis studies on R. pedestris, serving as a fundamental groundwork for future investigations on stable reference genes in R. pedestris as well as other organisms.

Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle

(1) Background: Vaccinium vitis-idaea is a nutritionally and economically valuable natural wild plant species that produces berries useful for treating various diseases. There is growing interest in lingonberry, but there is limited information regarding lingonberry reference genes suitable for gene expression analyses of different tissues under various abiotic stress conditions. The objective of this study was to identify stable reference genes suitable for different lingonberry tissues in response to abiotic stress. (2) Methods: The delta Ct method and the GeNorm v3.5 and NormFinder v20 programs were used to comprehensively analyze gene expression stability. (3) Results: Actin Unigene23839 was the best reference gene for analyzing different cultivars, whereas Actin CL5740.Contig2 was the most suitable reference gene for analyzing different tissues and alkali stress. In contrast, 18S rRNA CL5051.Contig1 was the most stable reference gene under drought conditions. (4) Conclusions: These suitable reference genes may be used in future qRT-PCR analyses of different lingonberry tissues and the effects of abiotic stresses. Furthermore, the study data may be useful for functional genomics studies and the molecular breeding of lingonberry. In summary, internal reference genes or internal reference gene combinations should be carefully selected according to the experimental conditions to ensure that the generated gene expression data are accurate.

Identification of Accurate Reference Genes for qRT-PCR Analysis of Gene Expression in Eremochloa ophiuroides under Multiple Stresses of Phosphorus Deficiency and/or Aluminum Toxicity

Centipedegrass (Eremochloa ophiuroides (Munro.) Hack.) is a species originating in China and is an excellent warm-season turfgrass. As a native species in southern China, it is naturally distributed in the phosphorus-deficient and aluminum-toxic acid soil areas. It is important to research the molecular mechanism of centipedegrass responses to phosphorus-deficiency and/or aluminum-toxicity stress. Quantitative Real-Time PCR (qRT-PCR) is a common method for gene expression analysis, and the accuracy of qRT-PCR results depends heavily on the stability of internal reference genes. However, there are still no reported stable and effective reference genes for qRT-PCR analysis of target genes under the acid-soil-related stresses in different organs of centipedegrass. For scientific rigor, the gene used as a reference for any plant species and/or any stress conditions should be first systematically screened and evaluated. This study is the first to provide a group of reliable reference genes to quantify the expression levels of functional genes of Eremochloa ophiuroides under multiple stresses of P deficiency and/or aluminum toxicity. In this study, centipedegrass seedlings of the acid-soil-resistant strain 'E041' and acid-soil-sensitive strain 'E089' were used for qRT-PCR analysis. A total of 11 candidate reference genes (ACT, TUB, GAPDH, TIP41, CACS, HNR, EP, EF1α, EIF4α, PP2A and actin) were detected by qRT-PCR technology, and the stability of candidate genes was evaluated with the combination of four internal stability analysis software programs. The candidate reference genes exhibited differential stability of expression in roots, stems and leaves under phosphorus-deficiency and/or aluminum-toxicity stress. On the whole, the results showed that GAPDH, TIP41 and HNR were the most stable in the total of samples. In addition, for different tissues under various stresses, the selected reference genes were also different. CACS and PP2A were identified as two stable reference genes in roots through all three stress treatments (phosphate deficiency, aluminum toxicity, and the multiple stress treatment of aluminum toxicity and phosphate deficiency). Moreover, CACS was also stable as a reference gene in roots under each treatment (phosphate deficiency, aluminum toxicity, or multiple stresses of aluminum toxicity and phosphate deficiency). In stems under all three stress treatments, GAPDH and EIF4α were the most stable reference genes; for leaves, PP2A and TIP41 showed the two highest rankings in all three stress treatments. Finally, qRT-PCR analysis of the expression patterns of the target gene ALMT1 was performed to verify the selected reference genes. The application of the reference genes identified as internal controls for qRT-PCR analysis will enable accurate analysis of the target gene expression levels and expression patterns in centipedegrass under acid-soil-related stresses.

Identification of Reference Genes for Precise Expression Analysis during Germination in Chenopodium quinoa Seeds under Salt Stress

Chenopodium quinoa Willd. (quinoa), a member of the Amaranthaceae family, is an allotetraploid annual plant, endemic to South America. The plant of C. quinoa presents significant ecological plasticity with exceptional adaptability to several environmental stresses, including salinity. The resilience of quinoa to several abiotic stresses, as well as its nutritional attributes, have led to significant shifts in quinoa cultivation worldwide over the past century. This work first defines germination sensu stricto in quinoa where the breakage of the pericarp and the testa is followed by endosperm rupture (ER). Transcriptomic changes in early seed germination stages lead to unstable expression levels in commonly used reference genes that are typically stable in vegetative tissues. Noteworthy, no suitable reference genes have been previously identified specifically for quinoa seed germination under salt stress conditions. This work aims to identify these genes as a prerequisite step for normalizing qPCR data. To this end, germinating seeds from UDEC2 and UDEC4 accessions, with different tolerance to salt, have been analyzed under conditions of absence (0 mM NaCl) and in the presence (250 mM NaCl) of sodium chloride. Based on the relevant literature, six candidate reference genes, Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Monensin sensitivity1 (MON1), Polypyrimidine tract-binding protein (PTB), Actin-7 (ACT7), Ubiquitin-conjugating enzyme (UBC), and 18S ribosomal RNA (18S), were selected and assessed for stability using the RefFinder Tool encompassing the statistical algorithms geNorm, NormFinder, BestKeeper, and ΔCt in the evaluation. The data presented support the suitability of CqACT7 and CqUBC as reference genes for normalizing gene expression during seed germination under salinity stress. These recommended reference genes can be valuable tools for consistent qPCR studies on quinoa seeds.

Identifying Suitable Reference Gene Candidates for Quantification of DNA Damage-Induced Cellular Responses in Human U2OS Cell Culture System

DNA repair pathways trigger robust downstream responses, making it challenging to select suitable reference genes for comparative studies. In this study, our goal was to identify the most suitable housekeeping genes to perform comparable molecular analyses for DNA damage-related studies. Choosing the most applicable reference genes is important in any kind of target gene expression-related quantitative study, since using the housekeeping genes improperly may result in false data interpretation and inaccurate conclusions. We evaluated the expressional changes of eight well-known housekeeping genes (i.e., 18S rRNA, B2M, eEF1α1, GAPDH, GUSB, HPRT1, PPIA, and TBP) following treatment with the DNA-damaging agents that are most frequently used: ultraviolet B (UVB) non-ionizing irradiation, neocarzinostatin (NCS), and actinomycin D (ActD). To reveal the significant changes in the expression of each gene and to determine which appear to be the most acceptable ones for normalization of real-time quantitative polymerase chain reaction (RT-qPCR) data, comparative and statistical algorithms (such as absolute quantification, Wilcoxon Rank Sum Test, and independent samples T-test) were conducted. Our findings clearly demonstrate that the genes commonly employed as reference candidates exhibit substantial expression variability, and therefore, careful consideration must be taken when designing the experimental setup for an accurate and reproducible normalization of RT-qPCR data. We used the U2OS cell line since it is generally accepted and used in the field of DNA repair to study DNA damage-induced cellular responses. Based on our current data in U2OS cells, we suggest using 18S rRNA, eEF1α1, GAPDH, GUSB, and HPRT1 genes for UVB-induced DNA damage-related studies. B2M, HPRT1, and TBP genes are recommended for NCS treatment, while 18S rRNA, B2M, and PPIA genes can be used as suitable internal controls in RT-qPCR experiments for ActD treatment. In summary, this is the first systematic study using a U2OS cell culture system that offers convincing evidence for housekeeping gene selection following treatment with various DNA-damaging agents. Here, we unravel an indispensable issue for performing and assessing trustworthy DNA damage-related differential gene expressional analyses, and we create a "zero set" of potential reference gene candidates.

Insensitive Effects of Inflammatory Cytokines on the Reference Genes of Synovial Fluid Resident-Mesenchymal Stem Cells Derived from Rheumatoid Arthritis Patients

Mesenchymal stem cells derived from rheumatoid arthritis patients (RA-MSCs) provide an understanding of a variety of cellular and immunological responses within the inflammatory milieu. Sustained exposure of MSCs to inflammatory cytokines is likely to exert an influence on genetic variations, including reference genes (RGs). The sensitive effect of cytokines on the reference genes of RA-SF-MSCs may be a variation factor affecting patient-derived MSCs as well as the accuracy and reliability of data. Here, we comparatively evaluated the stability levels of nine RG candidates, namely GAPDH, ACTB, B2M, EEF1A1, TBP, RPLP0, PPIA, YWHAZ, and HPRT1, to find the most stable ones. Alteration of the RG expression was evaluated in MSCs derived from the SF of healthy donors (H-SF-MSCs) and in RA-SF-MSCs using the geNorm and NormFinder software programs. The results showed that TBP, PPIA, and YWHAZ were the most stable RGs for the normalization of H-SF-MSCs and RA-SF-MSCs using RT-qPCR, whereas ACTB, the most commonly used RG, was less stable and performed poorly. Additionally, the sensitivity of RG expression upon exposure to proinflammatory cytokines (TNF-α and IL-1β) was evaluated. RG stability was sensitive in the H-SF-MSCs exposed to TNF-α and IL-1β but insensitive in the RA-SF-MSCs. Furthermore, the normalization of IDO expression using ACTB falsely diminished the magnitude of biological significance, which was further confirmed with a functional analysis and an IDO activity assay. In conclusion, the results suggest that TBP, PPIA, and YWHAZ can be used in SF-MSCs, regardless of their exposure to inflammatory cytokines.

Evaluation and validation of reference genes for RT-qPCR gene expression in Naegleria gruberi

Naegleria gruberi is a free-living amoeboflagellate commonly found in freshwater and in soils around the world. It is a non-pathogenic relative of Naegleria fowleri, which is the etiologic agent of Primary Amoebic Meningoencephalitis (PAM). PAM occurs world-wide and it is considered a rare disease, but its fatality rate is high (96%) mainly because of delay in initiation of treatment due to misdiagnosis and lack of a specific treatment. The analysis of gene expression by quantitative real-time PCR in N. gruberi could be a highly efficient means to understand the pathogenicity of N. fowleri and also to find drug targets. Accurate RT-qPCR analysis requires correct normalization of gene expression data using reference genes (RG), whose expression should be constant under different experimental conditions. In this study, six genes, representing the most frequently used housekeeping genes, were selected for evaluation as reference genes in N. gruberi. The expression and stability of these genes was evaluated employing four algorithms (geNorm, NormFinder, BestKeeper and RefFinder). This work shows significant variations of the stability of RGs depending on the algorithms employed and on the experimental conditions (i.e. logarithmic, stationary, heat-shock and oxidative stress). The geNorm, NormFinder and RefFinder analysis of all the experimental conditions in combination revealed that ACT and G6PD were the most stable RGs. While BestKeeper analysis showed that 18S and TBP were the most stable RGs. Moreover, normalization of HSP90 gene expression with the most stable RGs resulted in an upregulation whereas when the normalization was done with the unstable RGs, the gene expression was not reliable. Hence, the implications of this study are relevant to gene expression studies in N. gruberi.

Screening of Reference Genes under Biotic Stress and Hormone Treatment of Mung Bean (Vigna radiata) by Quantitative Real-Time PCR

Mung bean (Vigna radiata) production has been greatly threatened by numerous diseases. Infection with these pathogens causes extensive changes in gene expression and the activation of hormone signal transduction. Quantitative real-time PCR (qRT-PCR) is the most common technique used for gene expression validation. Screening proper reference genes for mung bean under pathogen infection and hormone treatment is a prerequisite for ensuring the accuracy of qRT-PCR data in mung bean disease-resistance research. In this study, six candidate reference genes (Cons4, ACT, TUA, TUB, GAPDH, and EF1α) were selected to evaluate the expression stability under four soil-borne disease pathogens (Pythium myriotylum, Pythium aphanidermatum, Fusarium oxysporum, and Rhizoctonia solani) and five hormone treatments (SA, MeJA, ETH, ABA, and GA3). In the samples from different treatments, the Ct value distribution of the six candidate reference genes was different. Under the condition of hormone treatment, the Ct value ranged from a minimum of 17.87 for EF1α to a maximum of 29.63 for GAPDH. Under the condition of pathogen infection, the Ct value ranged from a minimum of 19.43 for EF1α to a maximum of 31.82 for GAPDH. After primer specificity analysis, it was found that GAPDH was not specific, so the five reference genes Cons4, ACT, TUA, TUB, and EF1α were used in subsequent experiments. The software products GeNorm, NormFinder, BestKeeper and RefFinder were used for qRT-PCR data analysis. In general, the best candidates reference genes were: TUA for SA, ABA, GA3, and Pythium myriotylum treatment; TUB for ETH treatment; ACT for MeJA and Fusarium oxysporum treatment; and EF1α for Pythium aphanidermatum and Rhizoctonia solani treatment. The most stably expressed genes in all samples were TUA, while Cons4 was the least stable reference gene. Finally, the reliability of the reference gene was further validated by analysis of the expression profiles of four mung bean genes (Vradi0146s00260, Vradi0158s00480, Vradi07g23860, and Vradi11g03350) selected from transcriptome data. Our results provide more accurate information for the normalization of qRT-PCR data in mung bean response to pathogen interaction.

YWHAZ and TBP are potential reference gene candidates for qPCR analysis of response to radiation therapy in colorectal cancer

The expression profiles of conventional reference genes (RGs), including ACTB and GAPDH, used in quantitative real-time PCR (qPCR), vary depending on tissue types and environmental conditions. We searched for suitable RGs for qPCR to determine the response to radiotherapy in colorectal cancer (CRC) cell lines, organoids, and patient-derived tissues. Ten CRC cell lines (Caco-2, COLO 205, DLD-1, HCT116, HCT-15, HT-29, RKO, SW1116, SW480, and SW620) and organoids were selected and irradiated with 2, 10 or 21 grays (Gy) based on the previous related studies conducted over the last decade. The expression stability of 14 housekeeping genes (HKGs; ACTB, B2M, G6PD, GAPDH, GUSB, HMBS, HPRT1, IPO8, PGK1, PPIA, TBP, TFRC, UBC, and YWHAZ) after irradiation was evaluated using RefFinder using raw quantification cycle (Cq) values obtained from samples before and after irradiation. The expression stability of HKGs were also evaluated for paired fresh frozen tissues or formalin-fixed, paraffin-embedded samples obtained from CRC patients before and after chemoradiotherapy. The expression of YWHAZ and TBP encoding 14-3-3-zeta protein and TATA-binding protein were more stable than the other 12 HKGs in CRC cell lines, organoids, and patient-derived tissues after irradiation. The findings suggest that YWHAZ and TBP are potential RG candidates for normalizing qPCR results in CRC radiotherapy experiments.

Selection and Evaluation of Reference Genes for RT-qPCR Analysis in Amorphophallus Konjac Based on Transcriptome Data

Combined with the Konjac transcriptome database of our laboratory and internal reference genes commonly used in plants, the eight candidate internal reference genes were screened and detected. They are the 25S ribosomal RNA gene (25S rRNA), 18S ribosomal RNA gene (18S rRNA), actin gene (ACT), glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH), ubiquitin gene (UBQ), β-tubulin gene (β-TUB), eukaryotic elongation factor 1-αgene(eEF-1α), and eukaryotic translation initiation factor 4α-1 gene (eIF-4α). The results of GeNorm, Normfinder, and BestKeeper were analyzed comprehensively. The data showed that the expression levels of 25S rRNA, 18S rRNA, and ACT at the reproductive periods, eEF-1α and eIF-4α at the nutritional periods, and eEF-1α, UBQ, and ACT at different leaf developmental periods were stable. These identified and stable internal reference genes will provide the basis for the subsequent molecular biology-related studies of Konjac.

Expression of housekeeping genes varies depending on mevalonate pathway inhibition in cancer cells

Statins have anticancer effects and may be used as anticancer agents via drug repositioning. In reverse transcription-quantitative polymerase chain reaction (RT-qPCR) assays, the internal reference gene must not be affected by any experimental conditions. As statins exert a wide range of effects on cells by inhibiting the mevalonate pathway, it is possible that statin treatment might alter the expression of housekeeping genes used as internal reference genes, thereby misleading the assessment of obtained gene expression data. Here, we evaluated the expression stability of internal reference genes in atorvastatin-treated cancer cell lines. We treated both statin-sensitive and statin-resistant cancer cell lines with atorvastatin at seven different concentrations and performed RT-qPCR on 15 housekeeping genes whose expression stability was then assessed using five different algorithms. In both statin-sensitive and statin-resistant cancer cell lines, atorvastatin affected the expression of certain internal reference genes in a dose-dependent and cancer cell line-dependent manner; therefore, caution should be exercised when comparing target gene expression between cells. Our findings emphasize the importance of the validation of internal reference genes in gene expression analyses in drug treatment-based cancer research.

Genome-Wide Identification and Expression Analysis of ACTIN Family Genes in the Sweet Potato and Its Two Diploid Relatives

ACTINs are structural proteins widely distributed in plants. They are the main components of microfilaments and participate in many crucial physiological activities, including the maintenance of cell shape and cytoplasmic streaming. Meanwhile, ACTIN, as a housekeeping gene, is widely used in qRT-PCR analyses of plants. However, ACTIN family genes have not been explored in the sweet potato. In this study, we identified 30, 39, and 44 ACTINs in the cultivated hexaploid sweet potato (Ipomoea batatas, 2n = 6x = 90) and its two diploid relatives, Ipomoea trifida (2n = 2x = 30) and Ipomoea triloba (2n = 2x = 30), respectively, via analysis of their genome structure and by phylogenetic characterization. These ACTINs were divided into six subgroups according to their phylogenetic relationships with Arabidopsis thaliana. The physiological properties of the protein, chromosome localization, phylogenetic relationship, gene structure, promoter cis-elements, protein interaction networks, and expression patterns of these 113 ACTINs were systematically investigated. The results suggested that homologous ACTINs are differentiated in the sweet potato and its two diploid relatives, and play various vital roles in plant growth, tuberous root development, hormone crosstalk, and abiotic stress responses. Some stable ACTINs that could be used as internal reference genes were found in the sweet potato and its two diploid relatives, e.g., IbACTIN18, -20, and -16.2; ItfACTIN2.2, -16, and -10; ItbACTIN18 and -19.1. This work provides a comprehensive comparison and furthers our understanding of the ACTIN genes in the sweet potato and its two diploid relatives, thereby supplying a theoretical foundation for their functional study and further facilitating the molecular breeding of sweet potatoes.

Selection and validation of reference genes for RT-qPCR normalization of porcine alveolar macrophages (PAMs) for PRRSV studies

Porcine alveolar macrophages (PAMs) are widely used for in vitro studies of porcine respiratory viruses. Gene expression in these cells is altered by viral infection and cellular immune response. Real-time reverse transcription polymerase chain reaction (RT-qPCR) is a powerful technique for analyzing these changes. In order to obtain reliable quantitative RT-qPCR data and come to sound conclusions, stable reference genes are needed for normalization of target gene expression. In the present study, we evaluated the expression stability of nine reference genes in PAMs during cultivation and upon porcine reproductive and respiratory syndrome virus (PRRSV) inoculation. Using geNorm and NormFinder algorithms, we identified PSAP and GAPDH as the most stable reference genes under all experimental conditions. The selected reference genes were used for the normalization of CD163 expression under different conditions. This study demonstrates that selection of appropriate reference genes is essential for normalization and validation of RT-qPCR data across all experimental conditions. This study provides a new set of stable reference genes for future studies with porcine respiratory viruses in PAMs.

Selection and validation of novel stable reference genes for qPCR analysis in EMT and MET

Quantitative real-time polymerase chain reaction is a powerful tool for quantifying gene expression. The relative quantification relies on normalizing the data to reference genes or internal controls not modulated by the experimental conditions. The most widely used internal controls occasionally show changed expression patterns in different experimental settings, such as the mesenchymal to epithelial transition. Thus, identifying appropriate internal controls is of utmost importance. We analyzed multiple RNA-Seq datasets using a combination of statistical approaches such as percent relative range and coefficient of variance to define a list of candidate internal control genes, which was then validated experimentally and by using in silico analyses as well. We identified a group of genes as strong internal control candidates with high stability compared to the classical ones. We also presented evidence for the superiority of the percent relative range method for calculating expression stability in data sets with larger sample sizes. We used multiple methods to analyze data collected from several RNA-Seq datasets; we identified Rbm17 and Katna1 as the most stable reference genes in EMT/MET studies. The percent relative range approach surpasses other methods when analyzing datasets of larger sample sizes.

Identification and validation of reference genes for normalization of gene expression analysis using qRT-PCR in Megalurothrips usitatus (thysanoptera: thripidae)

Introduction: Gene expression analysis by reverse transcription quantitative polymerase chain reaction (qRT-PCR) has been widely used in research including insects. The selection of appropriate reference genes is the key to obtaining accurate and reliable results from qRT-PCR. However, studies on the expression stability of reference genes in Megalurothrips usitatus remain lacking. Methods: In this study, qRT-PCR was used to analyze the expression stability of candidate reference genes in M. usitatus. The expression levels of six candidate reference gene transcription of M. usitatus were analyzed. GeNorm, NormFinder, BestKeeper, and ΔCt were used to analyze the expression stability of M. usitatus treated with biological factors (developmental period treatment) and abiotic factors (light, temperature, insecticide treatment, respectively). Comprehensive stability ranking of candidate reference genes was recommended by RefFinder. Results and Discussion: Results showed that ribosomal protein S (RPS) was the most suitable expression in insecticide treatment. Ribosomal protein L (RPL) was the most suitable expression at developmental stage and light treatment, whereas elongation factor was the most suitable expression in temperature treatment. RefFinder was used to comprehensively analyze the above four treatments, and the results showed that RPL and actin (ACT) showed high stability in each treatment. Therefore, this study identified these two genes as reference genes in the qRT-PCR analysis of different treatment conditions of M. usitatus. Ourfindings will be beneficial for improving the accuracy of qRT-PCR analysis for future functional analysis of the target gene expression in M. usitatus.

Identification of stable reference genes for quantitative gene expression analysis in the duodenum of meat-type ducks

Quantitative polymerase chain reaction (qPCR) is an important method to detect gene expression at the molecular level. The selection of appropriate housekeeping genes is the key to accurately calculating the expression level of target genes and conducting gene function studies. In this study, the expression of eight candidate reference genes, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin (β-actin), 18S ribosomal RNA (18S rRNA), hydroxymethylbilane synthase (HMBS), hypoxanthine phosphoribosyltransferase 1 (HPRT1), TATA box binding protein (TBP), ribosomal protein L13 (RPL13), and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein (YWHAZ), in the duodenal epithelial tissue of 42-day-old meat-type ducks were detected using qPCR. Furthermore, their expression stability was analyzed using the geNorm, NormFinder, and BestKeeper programs. The results indicated that HMBS and YWHAZ were the most stably expressed genes. All three programs indicated that the expression of 18S rRNA was the least stable, making it unsuitable for the study of gene expression in meat-type duck tissues. This study provides stable reference genes for gene expression analysis and contributes to further studies on the gene function of meat-type ducks.

Selection of reference genes for RT-qPCR analysis in developing chicken embryonic ovary

BACKGROUND

Normalization of the expression profiling of target genes, in a tissue-specific manner and under different experimental conditions, requires stably expressed gene(s) to be used as internal reference(s). However, to study the molecular regulation of oocyte meiosis initiation during ovary development in chicken embryos, stable reference gene(s) still need to be compared and confirmed.

METHODS AND RESULTS

Six candidate genes previously used as internal references for the chicken embryo (Actb, Cvh, Dazl, Eef1a, Gapdh and Rpl15) were chosen, and their expression profiles in left ovaries dissected at five chicken embryonic days (E12.5, E15.5, E17.5, E18.5 and E20.5) were evaluated, respectively. Separately, GeNorm, NormFinder, BestKeeper and Comparative ΔCt methods were used to assess the stability of candidate reference genes, and all results were combined to give the final rank by RefFinder. All methods identified that Eef1a and Rpl15 were the two most stable internal reference genes, whereas Cvh is the most unstable one. Moreover, expression levels of three marker genes for chicken oocyte meiosis entry (Stra8, Scp3 and Dmc1) were normalized, based on Eef1a, Rpl15, or their combinations, respectively.

CONCLUSION

Our findings provide the most suitable internal reference genes (Eef1a and Rpl15), to investigate further molecular regulation of ovary development and oocyte meiosis initiation in chicken embryos.

Quantitative evaluation of endogenous reference genes for ddPCR under salt stress using a moderate halophile

Droplet digital PCR (ddPCR) is being increasingly adopted for gene detection and quantification because of its higher sensitivity and specificity. According to previous observations and our laboratory data, it is essential to use endogenous reference genes (RGs) when investigating gene expression at the mRNA level under salt stress. This study aimed to select and validate suitable RGs for gene expression under salt stress using ddPCR. Six candidate RGs were selected based on the tandem mass tag (TMT)-labeled quantitative proteomics of Alkalicoccus halolimnae at four salinities. The expression stability of these candidate genes was evaluated using statistical algorithms (geNorm, NormFinder, BestKeeper and RefFinder). There was a small fluctuation in the cycle threshold (Ct) value and copy number of the pdp gene. Its expression stability was ranked in the vanguard of all algorithms and was the most suitable RG for quantification of expression by both qPCR and ddPCR of A. halolimnae under salt stress. Single RG pdp and RG combinations were used to normalize the expression of ectA, ectB, ectC and ectD under four salinities. The present study constitutes the first systematic analysis of endogenous RG selection for halophiles responding to salt stress. This work provides a valuable theory and an approach reference of internal control identification for ddPCR-based stress response models.