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Background: Regeneration is a fascinating phenomenon that has intrigued scientists for a long time. Cheilomenes sexmaculata (Fabricius), a zig-zag ladybird beetle, possesses a high capacity for limb regeneration. The molecular mechanics of the zig-zag ladybird beetle are under-explored. Current research trends are focused on uncovering functional genes associated with limb regeneration. Most of these investigations involve quantitative real-time PCR (qRT-PCR) for their rapid and accurate analysis of gene expression levels. Hence, a stable and suitable reference gene is required to normalize the gene expression data., Methods and Results: In this study, five housekeeping genes were selected from the transcriptomics data (in-house unpublished data) of C. sexmaculata (Fabricius). The expression stabilities of the selected genes were evaluated under different time intervals post-amputation using geNorm, normFinder, and refFinder software. Actin was revealed to be the most stable housekeeping gene, along with elongation factor 2 and glyceraldehyde-3-phosphate dehydrogenase. A target gene named engrailed (an important segment-forming gene) was used to validate the selected reference genes. The expression levels were found to be consistent with the transcriptomics results., Conclusion: According to our study, actin, along with elongation factor 2 and glyceraldehyde-3-phosphate dehydrogenase, serve as the most stable reference genes and are suitable for regeneration-related research. This study is a groundbreaking effort to identify the most stable reference gene for limb regeneration in C. sexmaculata (Fabricius), and the findings can be applied to other related insect species., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Background: A correct and stably expressing reference gene is prerequisite for successful quantitative real-time PCR (qRT-PCR). Investigating gene expression profiling during flower development could enhance our understanding of the molecular mechanisms of flower formation and fertility in Lycium., Methods and Results: In this study, 11 candidate reference genes in Lycium flower development were selected from transcriptome sequence data and evaluated with five traditional housekeeping genes from previous studies based on qRT-PCR amplification. Comparing the expression stability result of 16 candidate genes using GeNorm, NormFinder, BestKeeper, and Delta Ct algorithms, Lba04g01649 and Lba12g02820 were validated as the optimal reference genes for the flower development of Lycium., Conclusions: The reference genes identified in this study would improve the accuracy of qRT-PCR quantification of target gene expression in Lycium flower development and facilitate future functional genomics studies on flower development. This research could lay the foundation for the study of the reproduction and development of the Lycium flower., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a positive-stranded single-stranded RNA virus with an envelope frequently altered by unstable genetic material, making it extremely difficult for vaccines, drugs, and diagnostics to work. Understanding SARS-CoV-2 infection mechanisms requires studying gene expression changes. Deep learning methods are often considered for large-scale gene expression profiling data. Data feature-oriented analysis, however, neglects the biological process nature of gene expression, making it difficult to describe gene expression behaviors accurately. In this article, we propose a novel scheme for modeling gene expression during SARS-CoV-2 infection as networks (gene expression modes, GEM), to characterize their expression behaviors. On this basis, we investigated the relationships among GEMs to determine SARS-CoV-2's core radiation mode. Our final experiments identified key COVID-19 genes by gene function enrichment, protein interaction, and module mining. Experimental results show that ATG10, ATG14, MAP1LC3B, OPTN, WDR45, and WIPI1 genes contribute to SARS-CoV-2 virus spread by affecting autophagy.

Background: The differential gene expression profile of metastatic versus primary breast tumors represents an avenue for discovering new or underappreciated pathways underscoring processes of metastasis. However, as tumor biopsy samples are a mixture of cancer and non-cancer cells, most differentially expressed genes in metastases would represent confounders involving sample biopsy site rather than cancer cell biology., Methods: By paired analysis, we defined a top set of differentially expressed genes in breast cancer metastasis versus primary tumors using an RNA-sequencing dataset of 152 patients from The Breast International Group Aiming to Understand the Molecular Aberrations dataset (BIG-AURORA). To filter the genes higher in metastasis for genes essential for breast cancer proliferation, we incorporated CRISPR-based data from breast cancer cell lines., Results: A significant fraction of genes with higher expression in metastasis versus paired primary were essential by CRISPR. These 264 genes represented an essential signature of breast cancer metastasis. In contrast, nonessential metastasis genes largely involved tumor biopsy site. The essential signature predicted breast cancer patient outcome based on primary tumor expression patterns. Pathways underlying the essential signature included proteasome degradation, the electron transport chain, oxidative phosphorylation, and cancer metabolic reprogramming. Transcription factors MYC, MAX, HDAC3, and HCFC1 each bound significant fractions of essential genes., Conclusions: Associations involving the essential gene signature of breast cancer metastasis indicate true biological changes intrinsic to cancer cells, with important implications for applying existing therapies or developing alternate therapeutic approaches., (© 2024. The Author(s).)

Selection of stable housekeeping genes (HKGs) is very important for accurate calculation of relative expression levels of target genes by quantitative real-time polymerase chain reaction (qRT-PCR). At present, the appropriate HKGs have not been identified in placental tissues throughout the pregnancy of the goat. In our study, 20 HKGs were tentatively selected from RNA-seq data and previous reports. The cycle threshold (Ct) of HKGs was determined by qRT-PCR in trophoblast membrane and cotyledon villus collected from 38 Dazu Black goats on gestation days of 20, 25, 30, 45, 60, 90, 120, and 150 (birth). The expression stability of the HKGs was analyzed by geNorm, Normfinder, Bestkeeper and Delta Ct algorithms, and comprehensively evaluated by ReFinder and ComprFinder. In addition, the optimal HKGs were further verified by placenta-specific genes (SPP1, VEGFA and PAG6). The 16 candidate HKGs (except POP4, TBP, RNF10, UBC) showed a qualified Ct value, less than 28. Among them, YWHAZ, EIF3K and PPIB showed the most stable expression in placental tissues during early, mid-late pregnancy and postpartum, but the least stable expression was B2M at early and mid-late stage, and PPIB at postpartum. After comprehensive analysis, RPLP0, EIF3K and YWHAZ were found to be the most stable placental HKGs throughout pregnancy. The classical HKGs, ACTB, GAPDH and 18S RNA have unstable expressions and even ranked at the bottom of the list from comprehensive index, suggesting an inappropriate for target gene normalization. Taken together, our study confirmed that YWHAZ, EIF3K, HMBS and RPLP0 may be the optimal HKGs in goat placenta at different stage of pregnancy, which provided a valuable reference of HKGs on functional gene expression detection for further research on placenta development and growth in ruminants., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

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., (© 2023. Springer Nature Limited.)

Accurate relative gene expression analysis by reverse transcription-quantitative polymerase chain reaction relies on the usage of suitable reference genes for data normalization. The RNA content of small extracellular vesicles including exosomes is growingly considered as cancer biomarkers. So, reliable relative quantification of exosomal messenger RNA (mRNA) is essential for cancer diagnosis and prognosis applications. However, suitable reference genes for accurate normalization of a target gene in exosomes derived from cancer cells are not depicted yet. Here, we analyzed the expression and stability of eight well-known reference genes namely GAPDH, B2M, HPRT1, ACTB, YWHAZ, UBC, RNA18S, and TBP in exosomes-isolated from the liver (Huh7, HepG2, PLC/PRF/5) and breast (SK-BR-3) cancer cell lines using five different algorithms including geNorm, BestKeeper, Delta Ct, NormFinder, and RefFinder. Our results showed that ACTB, TBP, and HPRT1 were not expressed in exosomes-isolated from studied liver and breast cancer cell lines. The geNorm and BestKeeper algorithms indicated GAPDH and UBC as the most stable candidates. Moreover, Delta Ct and NormFinder algorithms showed YWHAZ as the most stable reference genes. Comprehensive ranking calculated by the RefFinder algorithm also pointed out GAPDH, YWHAZ, and UBC as the first three stable reference genes. Taken together, this study validated the common reference genes stability in exosomal mRNA derived from liver and breast cancer cell lines for the first time. We believe that this study would be the first step in finding more stable reference genes in exosomes that triggers more accurate detection of exosomal biomarkers., (© 2021 International Federation for Cell Biology.)

Housekeeping (HK) genes are constitutively expressed genes that are required for the maintenance of basic cellular functions. Despite their importance in the calibration of gene expression, as well as the understanding of many genomic and evolutionary features, important discrepancies have been observed in studies that previously identified these genes. Here, we present Housekeeping and Reference Transcript Atlas (HRT Atlas v1.0, www.housekeeping.unicamp.br) a web-based database which addresses some of the previously observed limitations in the identification of these genes, and offers a more accurate database of human and mouse HK genes and transcripts. The database was generated by mining massive human and mouse RNA-seq data sets, including 11 281 and 507 high-quality RNA-seq samples from 52 human non-disease tissues/cells and 14 healthy tissues/cells of C57BL/6 wild type mouse, respectively. User can visualize the expression and download lists of 2158 human HK transcripts from 2176 HK genes and 3024 mouse HK transcripts from 3277 mouse HK genes. HRT Atlas also offers the most stable and suitable tissue selective candidate reference transcripts for normalization of qPCR experiments. Specific primers and predicted modifiers of gene expression for some of these HK transcripts are also proposed. HRT Atlas has also been integrated with a regulatory elements resource from Epiregio server., (© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.)

The selection of a suitable reference gene assures a reliable gene expression analysis when using the qPCR method. Normalization of the reaction is based on the basic metabolism genes. These genes show a constant, unregulated expression in all cells and function throughout their lifetime. In the current study, seven reference gene candidates were screened using RT-qPCR, to determine the best-matched pair of reference genes in the chicken DT40 cell line. The DT40 was derived from bursal lymphoma cells that were subjected to RAV-1 bird retroviral infection. It is a simplified in vitro model that allows tracking the direct interaction of stimulants on the lymphoid population and profiling of the hepatocellular B cell transcriptome. The reference gene analysis was carried out using statistical tools integrating four independent methods-geNorm, Best Keeper, NormFinder, delta Ct and RefFinder. Based on the selected reference genes, the relative gene expression analysis was done using the ddCt method. Complete relative gene expression study on a panel of the target genes revealed that proper selection of reference genes depending on the tissue eliminate decreases in data quality. The SDHA and RPL4 genes constitute stable internal controls as reference genes when analyzing gene expression in the DT40 cell line.

Prunus rootstock belonging to subgenera Amygdalus (peach), Prunus (plum) and Cerasus (cherry) are either from the same species as the scion or another one. The number of inter-species (including inter-subgenera) hybrids has increased as a result of broadening the genetic basis for stress (biotic and abiotic) resistance/tolerance. Identifying genes associated with important traits and responses requires expression analysis. Relative quantification is the simplest and most popular alternative, which requires reference genes (housekeeping) to normalize RT-qPCR data. However, there is a scarcity of validated housekeeping genes for hybrid Prunus rootstock species. This research aims to increase the number of housekeeping genes suitable for Prunus rootstock expression analysis. Twenty-one candidate housekeeping genes were pre-selected from previous RNAseq data that compared the response of root transcriptomes of two rootstocks subgenera to hypoxia treatment, 'Mariana 2624' (P. cerasifera Ehrh.× P. munsoniana W. Wight & Hedrick), and 'Mazzard F12/1' (P. avium L.). Representing groups of low, intermediate or high levels of expression, the genes were assayed by RT-qPCR at 72 hours of hypoxia treatment and analyzed with NormFinder software. A sub-set of seven housekeeping genes that presented the highest level of stability were selected, two with low levels of expression (Unknown 3, Unknown 7) and five with medium levels (GTB 1, TUA 3, ATPase P, PRT 6, RP II). The stability of these genes was evaluated under different stress conditions, cold and heat with the hybrid 'Mariana 2624' and N nutrition with the hybrids 'Colt' (P. avium × P. pseudocerasus Lindl.) and 'Garnem' [P. dulcis Mill.× (P. persica L.× P. davidiana Carr.)]. The algorithms of geNorm and BestKeeper software also were used to analyze the performance of these genes as housekeepers. Stability rankings varied according to treatments, genotypes and the software for evaluation, but the gene GBT 1 often had the highest ranking. However, most of the genes are suitable depending on the stressor and/or genotype to be evaluated. No optimal number of reference genes could be determined with geNorm software when all conditions and genotypes were considered. These results strongly suggest that relative RT-qPCR should be analyzed separately with their respective best housekeeper according to the treatment and/or genotypes in Prunus spp. rootstocks., Competing Interests: The authors have declared that no competing interests exist.

Polycystic kidney disease is a complex clinical entity which comprises a group of genetic diseases that leads to renal cyst development. We evaluated the most suitable housekeeping genes for microRNA expression by RT-qPCR analyses of kidney tissues in Pkd1-deficient mouse models from a panel of five candidates genes (miR-20a, miR-25, miR-26a, miR-191 and U6) and 3 target genes (miR-17, miR-21 and let-7a) using samples from kidneys of cystic mice (Pkd1 flox/flox :Nestin cre , CY), non-cystic controls (Pkd1 flox/flox , NC), Pkd1-haploinsufficient (Pkd1 +/- , HT), wild-type controls (Pkd1 +/+ , WT), severely cystic mice (Pkd1 V/V , SC), wild-type controls (CO). The stability of the candidate genes was investigated using NormFinder, GeNorm, BestKeeper, DataAssist, and RefFinder software packages and the comparative ΔCt method. The analyses identified miR-26a as the most stable housekeeping gene for all kidney samples, miR-20a for CY and NC, miR-20a and miR-26a for HT and WT, and miR-25 and miR-26a for SC and CO. Expression of miR-21 was upregulated in SC compared to CO and trends of miR-21 upregulation and let-7a downregulation in CY and HT compared to its control kidneys, when normalized by different combinations of miR-20a, miR-25 and miR-26a. Our findings established miR-20a, miR-25, and miR-26a as the best housekeeping genes for miRNA expression analyses by RT-qPCR in kidney tissues of Pkd1-deficient mouse models.

Background: RNA sequencing allows the measuring of gene expression at a resolution unmet by expression arrays or RT-qPCR. It is however necessary to normalize sequencing data by library size, transcript size and composition, among other factors, before comparing expression levels. The use of internal control genes or spike-ins is advocated in the literature for scaling read counts, but the methods for choosing reference genes are mostly targeted at RT-qPCR studies and require a set of pre-selected candidate controls or pre-selected target genes., Results: Here, we report an R-based pipeline to select internal control genes based solely on read counts and gene sizes. This novel method first normalizes the read counts to Transcripts per Million (TPM) and then excludes weakly expressed genes using the DAFS script to calculate the cut-off. It then selects as references the genes with lowest TPM covariance. We used this method to pick custom reference genes for the differential expression analysis of three transcriptome sets from transgenic Arabidopsis plants expressing heterologous fungal effector proteins tagged with GFP (using GFP alone as the control). The custom reference genes showed lower covariance and fold change as well as a broader range of expression levels than commonly used reference genes. When analyzed with NormFinder, both typical and custom reference genes were considered suitable internal controls, but the custom selected genes were more stably expressed. geNorm produced a similar result in which most custom selected genes ranked higher (i.e. were more stably expressed) than commonly used reference genes., Conclusions: The proposed method is innovative, rapid and simple. Since it does not depend on genome annotation, it can be used with any organism, and does not require pre-selected reference candidates or target genes that are not always available.

The normalization with proper reference genes is a crucial step to obtain accurate mRNA expression levels in quantitative PCR (qPCR) studies. Therefore, in this study, 10 reference candidate genes were evaluated to determine their stability in normal pectoralis major muscle of broilers and those counterparts affected with White Striping (WS) myopathy at 42 days age. Four different tools were used for ranking the most stable genes: GeNorm, NormFinder, BestKeeper and Comparative Ct (ΔCt), and a general ranking was performed using the RankAggreg tool to select the best reference genes among all tools. From the 10 genes evaluated in the breast muscle of broilers, 8 were amplified. Most of the algorithms/tools indicated the same two genes, RPL30 and RPL5, as the most stable in the broilers breast muscle. In addition, there was agreement among the tools for the least stable genes: MRPS27, GAPDH and RPLP1 in the broilers breast muscle. Therefore, it is interesting to note that even with different tools for evaluating gene expression, there was consensus on the most and least stable genes. These results indicate that the Ribosomal protein L30 (RPL30) and Ribosomal protein L5 (RPL5) can be recommended for accurate normalization in qPCR studies with chicken pectoralis major muscle affected with White Striping and other myopathies.

Reverse-transcription quantitative real-time polymerase chain reaction (RT-qPCR) using fluorescent DNA-binding dyes is now a gold-standard methodology to study bacterial gene expression through relative quantitation of target mRNAs under specific experimental conditions, and recent developments in the technology allow for gene expression analysis in single cells. Nevertheless, several critical steps of the RT-qPCR protocol need to be carefully addressed in order to obtain reliable results, particularly regarding RNA sample quality and appropriate choice of reference genes. Besides, accurate reporting of study conditions is essential, as recommended by the MIQE guidelines. Herein, we provide a practical approach to quantitation of the transcript levels of bacterial genes using RT-qPCR, including a general protocol for obtaining good-quality bacterial RNA and a discussion on the selection and validation of candidate bacterial reference genes for data normalization.

Quantitative gene expression profiling of cardiac allografts characterizes the phenotype of the alloimmune response, yields information regarding differential effects that may be associated with various anti-rejection drug regimens, and generates testable hypotheses regarding the pathogenesis of the chronic rejection lesions typically observed in non-human primate heart transplant models. The goal of this study was to assess interplatform performance and variability between the relatively novel NanoString nCounter Analysis System, ΔΔCT (relative) RT-qPCR, and standard curve (absolute) RT-qPCR utilizing cynomolgus monkey cardiac allografts. Methods for RNA isolation and preamplification were also systematically evaluated and effective methods are proposed. In this study, we demonstrate strong correlation between the two RT-qPCR methods, but variable and, at times, weak correlation between RT-qPCR and NanoString. NanoString fold change results demonstrate less sensitivity to small changes in gene expression than RT-qPCR. These findings appear to be driven by technical aspects of each platform that influence the conditions under which each technique is ideal. Collectively, our data contribute to the general effort to optimally utilize gene expression profiling techniques, not only for transplanted tissues, but for many other applications where accurate rank-order of gene expression versus precise quantification of absolute gene transcript number may be relatively valuable., (Published by Elsevier Inc.)

Recently, nanosecond pulsed electric field (nsPEF) has been considered as a new tool for tumor therapy, but its molecular mechanism of function remains to be fully elucidated. Here, we explored the cellular processes of Jurkat cells exposed to nanosecond pulsed electric field. Differentially expressed genes (DEGs) were acquired from the GEO2R, followed by analysis with a series of bioinformatics tools. Subsequently, 3D protein models of hub genes were modeled by Modeller 9.21 and Rosetta 3.9. Then, a 100 ns molecular dynamics simulation for each hub protein was performed with GROMACS 2018.2. Finally, three kinds of nsPEF voltages (0.01, 0.05, and 0.5 mV/mm) were used to simulate the molecular dynamics of hub proteins for 100 ns. A total of 1769 DEGs and eight hub genes were obtained. Molecular dynamic analysis, including root mean square deviation (RMSD), root mean square fluctuation (RMSF), and the R g , demonstrated that the 3D structure of hub proteins was built, and the structural characteristics of hub proteins under different nsPEFs were acquired. In conclusion, we explored the effect of nsPEF on Jurkat cell signaling pathway from the perspective of molecular informatics, which will be helpful in understanding the complex effects of nsPEF on acute T-cell leukemia Jurkat cells.

Hermetia illucens is an important resource insect for the conversion of organic waste. Quantitative PCR (qPCR) is the primary tool of gene expression analysis and a core technology of molecular biology research. Reference genes are essential for qPCR analysis; however, a stability analysis of H. illucens reference genes has not yet been carried out. To find suitable reference genes for normalizing gene expression data, the stability of eight housekeeping genes (including ATP6V1A, RPL8, EF1, Tubulin, TBP, GAPDH, Actin and RP49) was investigated under both biotic (developmental stages, tissues and sex) and abiotic (heavy metals, food, antibiotics) conditions. Gene expression data were analysed by geNorm, NormFinder, BestKeeper, and ΔCt programs. A set of specific reference genes was recommended for each experimental condition using the results of RefFinder synthesis analysis. This study offers a solid foundation for further studies of the molecular biology of H. illucens., Competing Interests: The authors have declared that no competing interests exist.

Droplet digital PCR is the most robust method for absolute nucleic acid quantification. However, RNA is a very versatile molecule and its abundance is tissue-dependent. RNA quantification is dependent on a reference control to estimate the abundance. Additionally, in cancer, many cellular processes are deregulated which consequently affects the gene expression profiles. In this work, we performed microarray data mining of different childhood cancers and healthy controls. We selected four genes that showed no gene expression variations ( PSMB6 , PGGT1B , UBQLN2 and UQCR2 ) and four classical reference genes ( ACTB , GAPDH , RPL4 and RPS18). Gene expression was validated in 40 acute lymphoblastic leukemia samples by means of droplet digital PCR. We observed that PSMB6 , PGGT1B , UBQLN2 and UQCR2 were expressed ~100 times less than ACTB , GAPDH , RPL4 and RPS18 . However, we observed excellent correlations among the new reference genes ( p < 0.0001). We propose that PSMB6 , PGGT1B , UBQLN2 and UQCR2 are housekeeping genes with low expression in childhood cancer.

Aims: Rahnella aquatilis is a Gram-negative bacterial species with potential for agricultural and industrial applications, as well as a human pathogen. This study aims to identify an optimal reference gene to explore antibiotic resistance and stress tolerance in R. aquatilis using reverse-transcription quantitative polymerase chain reaction (RT-qPCR)., Methods and Results: Expression levels of 14 housekeeping genes in R. aquatilis were estimated by RT-qPCR under six different conditions: exponential phase, stationary phase, acid, salinity, antibiotic and oxidative stresses. BestKeeper and the ΔCt method were used to evaluate the stability of each gene. The atpD gene was stably expressed in all conditions, thus was selected and validated as an optimal reference gene. Transcript levels of 17 putative ampicillin-resistance genes in R. aquatilis strain HX2 were evaluated using the proposed RT-qPCR. Six genes encoding efflux transporters and β-lactamase were overexpressed after ampicillin treatment. Additionally, the expression of seven putative stress response genes in strain HX2 was assessed, and five genes were up-regulated by respective stress treatments., Conclusions: The atpD gene has been identified as an optimal reference gene for expression analysis of R. aquatilis responses to abiotic stresses by RT-qPCR., Significance and Impact of the Study: The proposed RT-qPCR is suitable for gene expression analysis in R. aquatilis, thus useful for studying antimicrobial resistance and stress tolerance in this bacterium and others closely related., (© 2019 The Society for Applied Microbiology.)

Background: Isatis indigotica, a traditional Chinese medicine, produces a variety of active ingredients. However, little is known about the key genes and corresponding expression profiling involved in the biosynthesis pathways of these ingredients. Quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful, commonly-used method for gene expression analysis, but the accuracy of the quantitative data produced depends on the appropriate selection of reference genes., Results: In this study, the systematic analysis of the reference genes was performed for quantitative real-Time PCR normalization in I. indigotica. We selected nine candidate reference genes, including six traditional housekeeping genes (ACT, α-TUB, β-TUB, UBC, CYP, and EF1-α), and three newly stable internal control genes (MUB, TIP41, and RPL) from a transcriptome dataset of I. indigotica, and evaluated their expression stabilities in different tissues (root, stem, leaf, and petiole) and leaves exposed to three abiotic treatments (low-nitrogen, ABA, and MeJA) using geNorm, NormFinder, BestKeeper, and comprehensive RefFind algorithms. The results demonstrated that MUB and EF1-α were the two most stable reference genes for all samples. TIP41 as the optimal reference gene for low-nitrogen stress and MeJA treatment, while ACT had the highest ranking for ABA treatment and CYP was the most suitable for different tissues., Conclusions: The results revealed that the selection and validation of appropriate reference genes for normalizing data is mandatory to acquire accurate quantification results. The necessity of specific internal control for specific conditions was also emphasized. Furthermore, this work will provide valuable information to enhance further research in gene function and molecular biology on I. indigotica and other related species.

During the evolution of multicellular eukaryotes, gene duplication occurs frequently to generate new genes and/or functions. A duplicated gene may have a similar function to its ancestral gene. Therefore, it may be expected that duplicated genes are less likely to be critical for the survival of an organism, since there are multiple copies of the gene rendering each individual copy redundant. In this study, we explored the developmental expression patterns of duplicate gene pairs and the relationship between development co-expression and phenotypes resulting from the knockout of duplicate genes in the mouse. We define genes that generate lethal phenotypes in single gene knockout experiments as essential genes. We found that duplicate gene pairs comprised of two essential genes tend to be expressed at different stages of development, compared to duplicate gene pairs with at least one non-essential member, showing that the timing of developmental expression affects the ability of one paralogue to compensate for the loss of the other. Gene essentiality, developmental expression and gene duplication are thus closely linked.

Eight candidate housekeeping genes were examined as internal controls for normalizing expression analysis of durum wheat ( Triticum durum L. ) under drought and salinity stress conditions. Quantitative real-time PCR was used to analyse gene expression of multiple stress levels, plant ages (24 and 50 days old), and plant tissues (leaf and root). The algorithms BestKeeper, NormFinder, GeNorm, the delta Ct method and the RefFinder were applied to determine the stability of candidate genes. Under drought stress, the most stable reference genes were glyceraldehyde-3 phosphate , ubiquitin and β- tubulin2 , whereas under salinity stress conditions, eukaryotic elongation factor 1-α , glyceraldehyde-3 phosphate and actin were identified as the most stable reference genes. Validation with stress-responsive genes NAC29 and NAC6 demonstrated that the expression level of target genes could be determined reliably with combinations of up to three of the reference genes. This is the first report on reference genes appropriate for quantification of target gene expression in T. durum under drought and salt stresses. Results of this investigation may be applicable to other Triticum species.

Similar to other types of cancer, acidification of tumor microenvironment is an important feature of osteosarcoma, and a major source of cellular stress that triggers cancer aggressiveness, drug resistance, and progression. Among the different effects of low extracellular pH on tumor cells, we have recently found that short-term exposure to acidosis strongly affects gene expression. This alteration might also occur for the most commonly used housekeeping genes (HKG), thereby causing erroneous interpretation of RT-qPCR data. On this basis, by using osteosarcoma cells cultured at different pH values, we aimed to identify the ideal HKG to be considered in studies on tumor-associated acidosis. We verified the stability of 15 commonly used HKG through five algorithms (NormFinder, geNorm, BestKeeper, ΔCT, coefficient of variation) and found that no universal HKG is suitable, since at least four HKG are necessary for proper normalization. Furthermore, according to the acceptable range of values, YWHAZ , GAPDH , GUSB , and 18S rRNA were the most stable reference genes at different pH. Our results will be helpful for future investigations focusing on the effect of altered microenvironment on cancer behavior, particularly on the effectiveness of anticancer therapies in acid conditions.

Reference genes are frequently used as normalizers for expression studies despite not being previously verified to present suitable stabilities. Considering the interest that tiger beetles have generated in the past years, resulting in a variety of studies, it is crucial to dispose of a validated reference gene panel for expression studies. Nine candidate genes were tested in Cicindela campestris and Calomera littoralis across several conditions and their transcription levels were assessed with geNorm, NormFinder, BestKeeper and ΔC T method algorithms. Results showed high stabilities across sexes, immune challenge and gonad developmental stages for all genes tested, while body parts comparison presented less constant expression values. Only two genes are sufficient to perform a proper normalization for most of the conditions tested, except for the body parts comparison in C. littoralis, which requires the use of at least three reference genes. On the whole, no universal gene is found to be suitable for all situations, but according to the acceptable range of values, NADH, B-t, Vatpase and ArgKin seem to present the most constant expression stability, indicating their suitability as reference genes in most of the conditions. This is the first report evaluating the stability of housekeeping genes in adephagan beetles.

Single cell transcriptome (SCT) analysis provides superior resolution to illustrate tumor cell heterogeneity for clinical implications. We characterized four SCTs of MCF-7 using 143 housekeeping genes (HKGs) as control, of which lactate dehydrogenase B (LDHB) expression is silenced. These SCT libraries mapped to 11,423, 11,486, 10,380, and 11,306 RefSeq genes (UCSC), respectively. High consistency in HKG expression levels across all four SCTs, along with transcriptional silencing of LDHB, was observed, suggesting a high sensitivity and reproducibility of the SCT analysis. Cross-library comparison on expression levels by scatter plotting revealed a linear correlation and an 83-94% overlap in transcript isoforms and expressed genes were also observed. To gain insight of transcriptional diversity among the SCTs, expressed genes were split into consistently expressed (CE) (expressed in all SCTs) and inconsistently expressed (IE) (expressed in some but not all SCTs) genes for further characterization, along with the 142 expressed HKGs as a reference. Distinct transcriptional strengths were found among these groups, with averages of 1,612.0, 88.0 and 1.2 FPKM for HKGs, CE and IE, respectively. Comparison between CE and IE groups further indicated that expressions of CE genes vary more significantly than that of IE genes. Gene Ontology analysis indicated that proteins encoded by CE genes are mainly involved in fundamental intracellular activities, while proteins encoded by IE genes are mainly for extracellular activities, especially acting as receptors or ion channels. The diversified gene expressions, especially for those encoded by IE genes, may contribute to cancer drug resistance., Competing Interests: The authors have declared that no competing interests exist.

The expression levels of SLC or ABC membrane transporter transcripts typically differ 100- to 10,000-fold between different tissues. The Gini coefficient characterizes such inequalities and here is used to describe the distribution of the expression of each transporter among different human tissues and cell lines. Many transporters exhibit extremely high Gini coefficients even for common substrates, indicating considerable specialization consistent with divergent evolution. The expression profiles of SLC transporters in different cell lines behave similarly, although Gini coefficients for ABC transporters tend to be larger in cell lines than in tissues, implying selection. Transporter genes are significantly more heterogeneously expressed than the members of most non-transporter gene classes. Transcripts with the stablest expression have a low Gini index and often differ significantly from the "housekeeping" genes commonly used for normalization in transcriptomics/qPCR studies. PCBP1 has a low Gini coefficient, is reasonably expressed, and is an excellent novel reference gene. The approach, referred to as GeneGini, provides rapid and simple characterization of expression-profile distributions and improved normalization of genome-wide expression-profiling data., (Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.)

Whenever gene expression is being examined, it is essential that a normalization process is carried out to eliminate non-biological variations. The use of reference genes, such as glyceraldehyde-3-phosphate dehydrogenase, actin, and ribosomal protein genes, is the usual method of choice for normalizing gene expression. Although reference genes are used to normalize target gene expression, a major problem is that the stability of these genes differs among tissues, developmental stages, species, and responses to abiotic factors. Therefore, the use and validation of multiple reference genes are required. This review discusses the reasons that why RT-qPCR has become the preferred method for validating results of gene expression profiles, the use of specific and non-specific dyes and the importance of use of primers and probes for qPCR as well as to discuss several statistical algorithms developed to help the validation of potential reference genes. The conflicts arising in the use of classical reference genes in gene normalization and their replacement with novel references are also discussed by citing the high stability and low stability of classical and novel reference genes under various biotic and abiotic experimental conditions by employing various methods applied for the reference genes amplification.

Background: The use of reference genes for normalization of whole blood qRT-PCR data may be problematic in conditions such as stroke which induce alterations in white blood cell differential. In this study, we assessed the influence of stroke on the stability of commonly employed reference genes, and we evaluated data-driven normalization as an alternative., Methods: Peripheral whole blood was sampled from 33 stroke patients and 29 controls, and qRT-PCR was used to measure the expression levels of 10 target genes whose transcripts are known stroke biomarkers. Target gene expression levels were normalized via those of 2 frequently cited reference genes (ACTB and B2M) as well as with the NORMA-Gene data-driven normalization algorithm., Results: Whole blood expression levels of reference genes were significantly altered in stroke patients relative to controls. In comparison to normalization via reference genes, NORMA-Gene produced more robust target gene expression data in terms of differential expression dynamics, variance properties, and diagnostic performance., Conclusions: Our findings suggest that whole blood expression levels of commonly used reference genes may be sensitive to changes in white blood cell differential, and that data-driven qRT-PCR normalization approaches offer a powerful alternative., (© American Society for Clinical Pathology, 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com)

Background: The thyroid is the earliest endocrine structure to appear during human development, and thyroid hormones are necessary for proper organism development, in particular for the nervous system and heart, normal growth and skeletal maturation. To date a quantitative, validated transcriptional atlas of the whole normal human thyroid does not exist and the availability of a detailed expression map might be an excellent occasion to investigate the many features of the thyroid transcriptome., Results: We present a view at the molecular level of the normal human thyroid histology and physiology obtained by a systematic meta-analysis of all the available gene expression profiles for the whole organ. A quantitative transcriptome reference map was generated by using the TRAM (Transcriptome Mapper) software able to combine, normalize and integrate a total of 35 suitable datasets from different sources thus providing a typical reference expression value for each of the 27,275 known, mapped transcripts obtained. The experimental in vitro validation of data was performed by "Real-Time" reverse transcription polymerase chain reaction showing an excellent correlation coefficient (r = 0.93) with data obtained in silico., Conclusions: Our study provides a quantitative global reference portrait of gene expression in the normal human thyroid and highlights differential expression between normal human thyroid and a pool of non-thyroid tissues useful for modeling correlations between thyroidal gene expression and specific thyroid functions and diseases. The experimental in vitro validation supports the possible usefulness of the human thyroid transcriptome map as a reference for molecular studies of the physiology and pathology of this organ.

Housekeeping genes (HKGs) are essential for basic maintenance of a variety of cellular processes. They ideally maintain uniform expression independent of experimental conditions. However, the effects of ionizing radiation (IR) on HKG expression is unclear. Statistical algorithms, geNorm and Normfinder were used for estimating the stability of HKGs as raw quantification cycle (Cq) values were not a reliable factor for normalization. Head and neck, non-small lung and pancreas cells were exposed to 2, 4 and 6 Gy IR doses and expression of fourteen HKGs was measured at 5 min to 48 h post-irradiation within a given tissue. Paired and single cell line analyses under these experimental conditions identified TATA-Box Binding Protein (TBP) and Importin 8 (IPO8) to be stable in non-small cell lung cancer. In addition to these two genes, Ubiquitin C (UBC) in head and neck cancer and Transferrin receptor (TFRC) and β-Glucuronidase (GUSB) in pancreatic cancer were identified to be stable as well. In summary we present a resource for top ranked five stable HKGs and their transcriptional behavior in commonly used cancer model cell lines and suggest the use of multiple HKGs under radiation treatment conditions is a reliable metric for quantifying gene expression.

Objectives: (i) To optimize cell-free DNA (cfDNA) and mRNA quantification using eight housekeeping genes (HKGs), (ii) to determine if there is a difference in the occurrence of HKGs in the cfDNA and mRNA of normal cells and cancer cells, and (iii) to investigate whether there is some selectivity involved in the release of cfDNA., Design and Methods: cfDNA was isolated directly from the growth medium of 3 cultured cancer cell lines and one non-malignant, primary cell line. At the same time interval, mRNA was isolated from these cells and cDNA was synthesized. CfDNA and cDNA were then amplified with real-time PCR utilizing eight different HKGs., Results: For all cell lines tested, Beta-actin (ACTB) is the most appropriate HKG to use as a control for cfDNA and mRNA quantification. There was no clear difference in the occurrence of HKGs between cancer cells and healthy cells. Lastly, there is a consistent and distinct difference between the mRNA expression and cfDNA of all cell lines., Conclusions: This study reveals a new candidate HKG for a robust control in cfDNA analysis and gene expression profiling, and should be considered for optimal analysis. Furthermore, results indicate that cfDNA is selectively released from cells into culture medium., (Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.)

Background: Many vertebrate species have the ability to undergo weeks or even months of diapause (a temporary arrest of development during early ontogeny). Identification of diapause genes has been challenging due in part to the genetic heterogeneity of most vertebrate animals., Results: Here we take the advantage of the mangrove rivulus fish (Kryptolebias marmoratus or Kmar)-the only vertebrate that is extremely inbred due to consistent self-fertilization-to generate isogenic lineages for transcriptomic dissection. Because the Kmar genome is not publicly available, we built de novo genomic (642 Mb) and transcriptomic assemblies to serve as references for global genetic profiling of diapause in Kmar, via RNA-Seq. Transcripts unique to diapause in Kmar proved to constitute only a miniscule fraction (0.1 %) of the total pool of transcribed products. Most genes displayed lower expression in diapause than in post-diapause. However, some genes (notably dusp27, klhl38 and sqstm1) were significantly up-regulated during diapause, whereas others (col9a1, dspp and fmnl1) were substantially down-regulated, compared to both pre-diapause and post-diapause., Conclusion: Kmar offers a strong model for understanding patterns of gene expression during diapause. Our study highlights the importance of using a combination of genome and transcriptome assemblies as references for NGS-based RNA-Seq analyses. As for all identified diapause genes, in future studies it will be critical to link various levels of RNA expression with the functional roles of the coded products.

Background: Human endogenous retroviruses (HERVs) are flanked by long terminal repeats (LTRs), which possess promoter activity and can therefore influence the expression of neighboring genes. HERV involvement in different types of cancer has already been thoroughly documented. However, so far there has been no systematic study of HERV expression patterns in a multitude of cell types in health and disease. In particular, the publication of the comprehensive ENCODE dataset has already facilitated many gene expression studies, but none so far focusing exclusively on HERVs., Results: We present a comprehensive differential analysis of HERV expression based on ENCODE Tier 1 and Tier 2 RNA-seq data produced by Cold Spring Harbor Laboratories and the California Institute of Technology. This analysis was conducted for individual HERV loci and for entire HERV families in twelve different cell lines, of which six correspond to the normal condition and the other six represent cancer cell types. Although the principal component analysis revealed that the two groups of cells show distinguishable expression patterns, we were not able to link these differences to one or multiple particular HERV families. Two samples exhibit expression patterns, which are not similar to the corresponding cell lines of the other producing lab. Instead they show signs of cancer formation and expression of the pluripotency marker HERVH, despite being classified as a normal cell line and a differentiated cell, respectively., Conclusions: Our study demonstrates that ENCODE data are generally comparable between the different contributing labs and that the analysis of HERV elements can provide novel insights into differentiation and disease state of a cell that are easily overlooked when focusing on protein-coding genes. Our findings hint at a change in HERV expression during cancerogenesis.

Accurate normalization of data is required to correct for different efficiencies and errors during the processing of samples in reverse transcription PCR analysis. The chicken is one of the main livestock species and its genome was one of the first reported and used in large scale transcriptomic analysis. Despite this, the chicken has not been investigated regarding the identification of reference genes suitable for the quantitative PCR analysis of growth and fattening genes. In this study, five candidate reference genes (B2M, RPL32, SDHA, TBP and YWHAZ) were evaluated to determine the most stable internal reference for quantitative PCR normalization in the two main commercial muscles (pectoralis major (breast) and biceps femoris (thigh)), liver and abdominal fat. Four statistical methods (geNorm, NormFinder, CV and BestKeeper) were used in the evaluation of the most suitable combination of reference genes. Additionally, a comprehensive ranking was established with the RefFinder tool. This analysis identified YWHAZ and TBP as the recommended combination for the analysis of biceps femoris and liver, YWHAZ and RPL32 for pectoralis major and RPL32 and B2M for abdominal fat and across-tissue studies. The final ranking for each tool changed slightly but overall the results, and most particularly the ability to discard the least robust candidates, were consistent between tools. The selection and number of reference genes were validated using SCD, a target gene related to fat metabolism. Overall, the results can be directly used to quantitate target gene expression in different tissues or in validation studies from larger transcriptomic experiments., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Gene expression analysis using quantitative real-time PCR (qRT-PCR) is a very sensitive technique and its sensitivity depends on the stable performance of reference gene(s) used in the study. A number of housekeeping genes have been used in various expression studies in many crops however, their expression were found to be inconsistent under different stress conditions. As a result, species specific housekeeping genes have been recommended for different expression studies in several crop species. However, such specific housekeeping genes have not been reported in the case of pigeonpea (Cajanus cajan) despite the fact that genome sequence has become available for the crop. To identify the stable housekeeping genes in pigeonpea for expression analysis under drought stress conditions, the relative expression variations of 10 commonly used housekeeping genes (EF1α, UBQ10, GAPDH, 18SrRNA, 25SrRNA, TUB6, ACT1, IF4α, UBC and HSP90) were studied on root, stem and leaves tissues of Asha (ICPL 87119). Three statistical algorithms geNorm, NormFinder and BestKeeper were used to define the stability of candidate genes. geNorm analysis identified IF4α and TUB6 as the most stable housekeeping genes however, NormFinder analysis determined IF4α and HSP90 as the most stable housekeeping genes under drought stress conditions. Subsequently validation of the identified candidate genes was undertaken in qRT-PCR based gene expression analysis of uspA gene which plays an important role for drought stress conditions in pigeonpea. The relative quantification of the uspA gene varied according to the internal controls (stable and least stable genes), thus highlighting the importance of the choice of as well as validation of internal controls in such experiments. The identified stable and validated housekeeping genes will facilitate gene expression studies in pigeonpea especially under drought stress conditions.

In the wake of recent progress of high throughput transcriptome profiling technologies, extensive housekeeping gene mining has been conducted in humans. However, very few studies have been reported in maize (Zea mays L.), an important crop plant, and none were conducted on a genome -wide level. In this study, we surveyed housekeeping genes throughout the maize transcriptome using RNA-seq and microarray techniques, and validated the housekeeping profile with quantitative polymerase chain reaction (qPCR) under a series of conditions including different genotypes and nitrogen supplies. Seven microarray datasets and two RNA-seq libraries representing 40 genotypes at more than 20 developmental stages were selected to screen for commonly expressed genes. A total of 1,661 genes showed constitutive expression in both microarray and RNA-seq datasets, serving as our starting housekeeping gene candidates. To determine for stably expressed housekeeping genes, NormFinder was used to select the top 20 % invariable genes to be the more likely candidates, which resulted in 48 and 489 entries from microarray and RNA-seq data, respectively. Among them, nine genes (2OG-Fe, CDK, DPP9, DUF, NAC, RPN, SGT1, UPF1 and a hypothetical protein coding gene) were expressed in all 40 maize diverse genotypes tested covering 16 tissues at more than 20 developmental stages under normal and stress conditions, implying these as being the most reliable reference genes. qPCR analysis confirmed the stable expression of selected reference gene candidates compared to two widely used housekeeping genes. All the reference gene candidates showed higher invariability than ACT and GAPDH. The hypothetical protein coding gene exhibited the most stable expression across 26 maize lines with different nitrogen treatments with qPCR, followed by CDK encoding the cyclin-dependent kinase. As the first study to systematically screen for housekeeping genes in maize, we identified candidates by examining the transcriptome atlas generated from RNA-seq and microarray technologies. The nine top-ranked qPCR-validated novel housekeeping genes provide a valuable resource of reference genes for maize gene expression analysis.

Elucidating the molecular drivers of human breast cancers requires a strategy that is capable of integrating multiple forms of data and an ability to interpret the functional consequences of a given genetic aberration. Here we present an integrated genomic strategy based on the use of gene expression signatures of oncogenic pathway activity (n = 52) as a framework to analyze DNA copy number alterations in combination with data from a genome-wide RNA-mediated interference screen. We identify specific DNA amplifications and essential genes within these amplicons representing key genetic drivers, including known and new regulators of oncogenesis. The genes identified include eight that are essential for cell proliferation (FGD5, METTL6, CPT1A, DTX3, MRPS23, EIF2S2, EIF6 and SLC2A10) and are uniquely amplified in patients with highly proliferative luminal breast tumors, a clinical subset of patients for which few therapeutic options are effective. This general strategy has the potential to identify therapeutic targets within amplicons through an integrated use of genomic data sets.

Instability of housekeeping genes (HKG), supposedly unregulated and hence used as normalizers, may dramatically change conclusions of quantitative PCR experiments. The effect of bowel inflammation on HKG remains unknown. Expression stability of 15 HKG (ACTB, B2M, GAPDH, GUSB, HPRT1, IPO8, MRPL19, PGK1, PPIA, RPLP0, RPS23, SDHA, TBP, UBC, and YWHAZ) in 166 bowel specimens (91 normal, 35 cancerous, and 40 inflamed) was ranked by coefficients of variation (CV%) or using dedicated software: geNorm and NormFinder. The RPS23, PPIA, and RPLP0 were top-ranked, whereas IPO8, UBC and TBP were the lowest-ranked HKG across inflamed/cancerous/normal colonic tissues. The pairs RPS23/RPLP0, PGK1/MRPL19, or PPIA/RPLP0 were optimal reference by CV%, NormFinder, and geNorm, respectively. Colon inflammation affected HKG more pronouncedly than cancer with ACTB significantly down- and B2M upregulated. In inflammatory bowel disease (IBD), different genes were top-ranked in a large and small bowel, whereas TBP, UBC, and IPO8 were lowest-ranked in both. For patients with IBD at large, RPS23/PPIA, PGK1/MRPL19, and PPIA/RPLP0 were found optimal by CV%, NormFinder, and geNorm, respectively. ACTB and B2M expression was related to CRC stage and positively correlated with clinical activity of IBD. Although GAPDH was upregulated neither in CRC nor IBD, it tended to positively correlate with tumor depth and Crohn's disease activity index. Normalizing against GAPDH affected experimental conclusions in a small but not large bowel. Bowel inflammation significantly affects several classic HKG. The pair PPIA/RPLP0 is a common optimal reference for studies encompassing tissues sampled from colorectal cancer and IBD patients. Using ACTB or B2M is not recommended.

The bird cherry-oat aphid (Rhopalosiphum padi), an important pest of cereal crops, not only directly sucks sap from plants, but also transmits a number of plant viruses, collectively the yellow dwarf viruses (YDVs). For quantifying changes in gene expression in vector aphids, reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a touchstone method, but the selection and validation of housekeeping genes (HKGs) as reference genes to normalize the expression level of endogenous genes of the vector and for exogenous genes of the virus in the aphids is critical to obtaining valid results. Such an assessment has not been done, however, for R. padi and YDVs. Here, we tested three algorithms (GeNorm, NormFinder and BestKeeper) to assess the suitability of candidate reference genes (EF-1α, ACT1, GAPDH, 18S rRNA) in 6 combinations of YDV and vector aphid morph. EF-1α and ACT1 together or in combination with GAPDH or with GAPDH and 18S rRNA could confidently be used to normalize virus titre and expression levels of endogenous genes in winged or wingless R. padi infected with Barley yellow dwarf virus isolates (BYDV)-PAV and BYDV-GAV. The use of only one reference gene, whether the most stably expressed (EF-1α) or the least stably expressed (18S rRNA), was not adequate for obtaining valid relative expression data from the RT-qPCR. Because of discrepancies among values for changes in relative expression obtained using 3 regions of the same gene, different regions of an endogenous aphid gene, including each terminus and the middle, should be analyzed at the same time with RT-qPCR. Our results highlight the necessity of choosing the best reference genes to obtain valid experimental data and provide several HKGs for relative quantification of virus titre in YDV-viruliferous aphids.

Quantitative real time RT-PCR has been described as the most sensitive method for the detection of low abundance mRNA. To date, no reference genes have been screened in the half-smooth tongue sole (Cynoglossus semilaevis). The aim of this study was to select the most stable genes for quantitative real-time RT-PCR. Eight housekeeping genes (18S, TUBA, B2M, ACTB, EF1A, GAPDH, RPL17 and UBCE) were tested at different developmental stages, in different tissues, and following exposure to the drug SB-431542. Using geNorm, BestKeeper and NormFinder software, GAPDH/B2M, GAPDH/18S and UBCE/GAPDH were identified as the most suitable genes from samples taken of different developmental stages while 18S/RPL17 were consistently ranked as the best reference genes for different tissue types. Furthermore, TUBA/B2M, TUBA/UBCE and B2M/TUBA were found to be the most suitable genes in samples treated with the drug, SB-431542 by geNorm, BestKeeper and NormFinder respectively. Across both different developmental stages and tissue types, the combination of 18S and GAPDH was the most stable reference gene analyzed by Ref-Finder. To test and verify the screened reference genes, the expression profiles of LEFTY-normalized to the combination of GAPDH/18S and ACTB were presented. These results will be useful for future gene-expression studies in the half-smooth tongue sole.

The level of expression of housekeeping genes is in general considered stable, and a representative gene such as glyceraldehyde-3-phosphate dehydrogenase is commonly used as an internal control for quantitating mRNA. However, expression of housekeeping genes is not always constant under pathological conditions. To determine which genes would be most suitable as internal controls for quantitative gene expression studies in human liver diseases, we quantified 12 representative housekeeping genes in 27 non-cancerous liver tissues (normal, chronic hepatitis C with and without liver cirrhosis). We identified β-glucuronidase as the most suitable gene for studies on liver by rigorous statistical analysis of inter- and intra-group comparisons. We conclude that it is important to determine the most appropriate control gene for the particular condition to be analyzed., (© 2013 Elsevier Inc. All rights reserved.)

Objective: To investigate the stability of various housekeeping genes (HKG) within healthy versus scarred peritoneal mesothelium. The use of HKG as internal controls for quantitative real-time polymerase chain reaction (qRT-PCR) studies is based on the assumption of their inherent stability. However, recent evidence suggests that this is not true for all HKG and that stability may be tissue specific and affected by certain pathologies., Design: Paired mesothelial (n = 10) and adhesion tissue samples (n = 10) were taken during laparoscopic surgery. The stability of 12 candidate reference genes in the mesothelial tissues were evaluated; these include ATP5b, SDHA, CYC1, 18S rRNA, RPL13A, ACTB, YWHAZ, TOP1, UBC, EIF4A2, GAPDH, and B2M., Setting: Hospital., Patient(s): Female patients undergoing laparoscopic gynecological surgery were recruited from the Princess Anne Hospital, United Kingdom., Intervention(s): Assessment of HKG expression stability using geNorm algorithm software., Main Outcome Measure(s): Stability measure (M) generated by geometric averaging of multiple target genes and mean pairwise variation of genes., Result(s): The most stable HKGs observed across both healthy and adhesion-related mesothelium were found to be ACTB, YWHAZ, and CYC1. ACTB had a higher expression in healthy mesothelium compared with in peritoneal adhesion tissue., Conclusion(s): This study indicates that ACTB, YWHAZ, and CYC1 are the appropriate internal controls for qRT-PCR analysis in mesothelial gene expression studies. Published discrepancies in gene expression studies using the mesothelium may therefore be due in part to inappropriate HKG selection., (Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)

Heterosis has been widely explored in Larix breeding for more than a century, but the molecular mechanisms underlying this phenomenon remain elusive. In the present study, the genome-wide transcript profiles from two Larix genotypes and their reciprocal hybrids were analyzed using Arabidopsis 70-mer oligonucleotide microarrays. Despite sharing the same two parental lines, one of the hybrids showed obvious heterosis, while the other did not. In total, 1,171 genes were differentially expressed between the heterotic hybrid and its parents, of which 133 genes were nonadditive expression. The number of differentially expressed genes between the non-heterotic hybrid and the parents was 939, but only 54 of these genes were nonadditive expression. Further, gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses indicated that most of these differentially expressed genes in the heterotic hybrid were associated with several important biological functions such as physiological processes, responses to stimulus, and starch and sucrose metabolism. The reliability of the microarray data was further validated by the Real-time quantitative RT-PCR. A high Pearson linear correlation coefficient value was detected (r = 0.759, P < 0.01). In conclusion, the gene expression profile in the Larix heterotic hybrid was significantly different from that obtained from the non-heterotic hybrid, and more nonadditive differentially expressed genes were detected in the heterotic hybrid, implying that nonadditive effects may be closely associated with the formation of heterosis in the intraspecific Larix hybridization.

Background: Identification of essential proteins is always a challenging task since it requires experimental approaches that are time-consuming and laborious. With the advances in high throughput technologies, a large number of protein-protein interactions are available, which have produced unprecedented opportunities for detecting proteins' essentialities from the network level. There have been a series of computational approaches proposed for predicting essential proteins based on network topologies. However, the network topology-based centrality measures are very sensitive to the robustness of network. Therefore, a new robust essential protein discovery method would be of great value., Results: In this paper, we propose a new centrality measure, named PeC, based on the integration of protein-protein interaction and gene expression data. The performance of PeC is validated based on the protein-protein interaction network of Saccharomyces cerevisiae. The experimental results show that the predicted precision of PeC clearly exceeds that of the other fifteen previously proposed centrality measures: Degree Centrality (DC), Betweenness Centrality (BC), Closeness Centrality (CC), Subgraph Centrality (SC), Eigenvector Centrality (EC), Information Centrality (IC), Bottle Neck (BN), Density of Maximum Neighborhood Component (DMNC), Local Average Connectivity-based method (LAC), Sum of ECC (SoECC), Range-Limited Centrality (RL), L-index (LI), Leader Rank (LR), Normalized α-Centrality (NC), and Moduland-Centrality (MC). Especially, the improvement of PeC over the classic centrality measures (BC, CC, SC, EC, and BN) is more than 50% when predicting no more than 500 proteins., Conclusions: We demonstrate that the integration of protein-protein interaction network and gene expression data can help improve the precision of predicting essential proteins. The new centrality measure, PeC, is an effective essential protein discovery method.

Variations in the activities of Cytochrome P450s are one of the major factors responsible for inter-individual differences in drug clearance rates, which may cause serious toxicity or inefficacy of therapeutic drugs. Various mRNA level is one of the key factors for different activity of the major P450 genes. Although both genetic and environmental regulators of P450 gene expression have been widely investigated, few studies have evaluated the functional importance of cis- and trans-regulatory factors and environmental factors in the modulation of inter-individual expression variations of the P450 genes. In this study, we measured the mRNA levels of seven major P450 genes (CYP1A1, CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP3A4 and CYP3A5) in 96 liver biopsy samples from Chinese population. Both trans-acting (mRNA levels and non-synonymous SNPs of putative regulator genes) and cis-acting (gene copy number and functional SNPs) factors were investigated to identify the determinants of the expression variations of these seven P450 genes. We found that expression variations of most P450 genes, regulator genes and housekeeping genes were positively correlated at the mRNA level. After partial correlation analysis using ACTB and GAPDH expression to eliminate the effect of global regulators, a UPGMA (Unweighted Pair Group Method with Arithmetic Mean) tree was constructed to reveal the effects of specific regulation networks potentially masked by global regulators. Combined with the functional analysis of regulators, our results suggested that expression variation at the mRNA level was mediated by several factors in a gene-specific manner. Cis-acting genetic variants might play key roles in the expression variation of CYP2D6 and CYP3A5, environmental inducers might play key roles in CYP1A1 and CYP1A2 variation and global regulators might play key roles in CYP2C9 variation. In addition, the functions of regulators that play less important roles in controlling expression variation for each P450 gene were determined.

Housekeeping genes are widely used as internal controls in a variety of study types, including real time RT-PCR, microarrays, Northern analysis and RNase protection assays. However, even commonly used housekeeping genes may vary in stability depending on the cell type or disease being studied. Thus, it is necessary to identify additional housekeeping-type genes that show sample-independent stability. Here, we used statistical analysis to examine a large human microarray database, seeking genes that were stably expressed in various tissues, disease states and cell lines. We further selected genes that were expressed at different levels, because reference and target genes should be present in similar copy numbers to achieve reliable quantitative results. Real time RT-PCR amplification of three newly identified reference genes, CGI-119, CTBP1 and GOLGAl, alongside three well-known housekeeping genes, B2M, GAPD, and TUBB, confirmed that the newly identified genes were more stably expressed in individual samples with similar ranges. These results collectively suggest that statistical analysis of microarray data can be used to identify new candidate housekeeping genes showing consistent expression across tissues and diseases. Our analysis identified three novel candidate housekeeping genes (CGI-119, GOLGA1, and CTBP1) that could prove useful for normalization across a variety of RNA-based techniques.

Most cells on earth exist in a quiescent state. In yeast, quiescence is induced by carbon starvation, and exit occurs when a carbon source becomes available. To understand how cells survive in, and exit from this state, mRNA abundance was examined using oligonucleotide-based microarrays and quantitative reverse transcription-polymerase chain reaction. Cells in stationary-phase cultures exhibited a coordinated response within 5-10 min of refeeding. Levels of >1800 mRNAs increased dramatically (>or=64-fold), and a smaller group of stationary-phase mRNAs decreased in abundance. Motif analysis of sequences upstream of genes clustered by VxInsight identified an overrepresentation of Rap1p and BUF (RPA) binding sites in genes whose mRNA levels rapidly increased during exit. Examination of 95 strains carrying deletions in stationary-phase genes induced identified 32 genes essential for survival in stationary-phase at 37 degrees C. Analysis of these genes suggests that mitochondrial function is critical for entry into stationary-phase and that posttranslational modifications and protection from oxidative stress become important later. The phylogenetic conservation of stationary-phase genes, and our findings that two-thirds of the essential stationary-phase genes have human homologues and of these, many have human homologues that are disease related, demonstrate that yeast is a bona fide model system for studying the quiescent state of eukaryotic cells.

The high-affinity copper transporter 1 (Ctr1) is a highly conserved transmembrane protein that mediates the internalization of copper ions from the extracellular medium. In this study, we have isolated the zebrafish ctr1 gene. The zebrafish ctr1 cDNA encodes a protein with 69% identity to the human orthologue and shows conservation of specific amino acid residues involved in copper transport. We find only a single ctr1 gene in the zebrafish genome which maps to linkage group 5. The genomic structure of the zebrafish gene shows that it consists of five exons and that exon-intron boundaries are absolutely conserved with the mammalian ctr1 genes. Expression in embryos was analyzed by reverse transcription-polymerase chain reaction (RT-PCR) and by in situ hybridization. Zebrafish ctr1 is maternally loaded, and transcripts can be detected throughout development and in adult fish. Distribution of ctr1 message appears ubiquitous during early stages becoming restricted to the brain and ventral tissues by 24 h post fertilization (hpf). Beginning at 3 days post fertilization (dpf), expression is found mainly in the developing intestine. Specific knockdown of ctr1 by antisense morpholino oligonucleotides (MOs) causes early larval lethality. Defects include cell death in tissues where ctr1 is most heavily expressed, a finding similar to that described for a mouse knockout of mCtr1. Despite the existence of at least one other copper transport mechanism in the fish, our studies show that zebrafish ctr1 is an essential gene for development.

There is a need for statistical methods to identify genes that have minimal variation in expression across a variety of experimental conditions. These 'housekeeper' genes are widely employed as controls for quantification of test genes using gel analysis and real-time RT-PCR. Using real-time quantitative RT-PCR, we analyzed 80 primary breast tumors for variation in expression of six putative housekeeper genes (MRPL19 (mitochondrial ribosomal protein L19), PSMC4 (proteasome (prosome, macropain) 26S subunit, ATPase, 4), SF3A1 (splicing factor 3a, subunit 1, 120 kDa), PUM1 (pumilio homolog 1 (Drosophila)), ACTB (actin, beta) and GAPD (glyceraldehyde-3-phosphate dehydrogenase)). We present appropriate models for selecting the best housekeepers to normalize quantitative data within a given tissue type (for example, breast cancer) and across different types of tissue samples.

Large-scale gene expression profiling was performed on embryo-derived stem cell lines to identify molecular signatures of pluripotency and lineage specificity. Analysis of pluripotent embryonic stem (ES) cells, extraembryonic-restricted trophoblast stem (TS) cells, and terminally-differentiated mouse embryo fibroblast (MEF) cells identified expression profiles unique to each cell type, as well as genes common only to ES and TS cells. Whereas most of the MEF-specific genes had been characterized previously, the majority (67%) of the ES-specific genes were novel and did not include known differentiated cell markers. Comparison with microarray data from embryonic material demonstrated that ES-specific genes were underrepresented in all stages sampled, whereas TS-specific genes included known placental markers. Investigation of four novel TS-specific genes showed trophoblast-restricted expression in cell lines and in vivo, whereas one uncharacterized ES-specific gene, Esg-1, was found to be exclusively associated with pluripotency. We suggest that pluripotency requires a set of genes not expressed in other cell types, whereas lineage-restricted stem cells, like TS cells, express genes predictive of their differentiated lineage.