New Set Of Reference Genes Research Articles

A new set of reference genes for comparative gene expression analyses in Yarrowia lipolytica.

Accurate quantitation of gene expression levels require sensitive, precise and reproducible measurements of specific transcripts. Normalization to a reference gene is the most common practice to minimize the impact of the uncontrolled variation. The fundamental prerequisite for an accurate reference gene is to be stably expressed amongst all the samples included in the analysis. In the present study we aimed to assess the expression level and stability of a panel of 21 genes in Yarrowia lipolytica throughout varying conditions, covering composition of the culturing medium, growth phase and strain-wild type and recombinant burdened with heterologous protein overexpression. The panel of the selected candidate genes covered those essential for growth and maintenance of metabolism and homologs of commonly used internal references in RT-qPCR. The candidate genes expression level and stability were assessed and the data were processed using dedicated computational tools (geNorm and NormFinder). The results obtained here indicated genes unaffected by the burden of overexpression (TEF1, TPI1, UBC2, SRPN2, ALG9-like, RYL1) or by the culture medium used (ACT1, TPI1, UBC2, SEC61, ODC, CLA4, FKS1, TPS1), as well as those the least (SSDH, ODC, GPD) and the most (SEC62, TPI1, IPP1) suitable for normalization of RT-qPCR data in Y. lipolytica.

Analysis of bHLH coding genes of Cicer arietinum during heavy metal stress using biological network.

bHLH family of transcription factors play important role in regulating many cellular and physiological functions in plants. These proteins are also known to be involved in response to several abiotic stress types. Cicer arietinum is an important source of protein in food across the globe. Considerable differential expression in the bHLH family of proteins during heavy metal exposure in Cicer arietinum was observed by microarray data analysis. The study aimed to construct a Pearson coefficient correlation based network of bHLH coding genes in the plant. Microarray data of Cicer arietinum recorded under cadmium and chromium stress (GSE86807) from GEO at NCBI was used for analysis. The network constructed from expression data set of the 85 bHLH coding genes revealed 10 hub genes that are connected with topological genes. These hub genes are stress responsive genes that may also be regarded as the marker genes for heavy metal response. Our analysis reported a new set of reference genes (hub genes) that have potentially significant role in development of stress tolerant crops.

Lung inflammation after bleomycin treatment in mice: Selection of an accurate normalization strategy for gene expression analysis in an ex-vivo and in-vitro model

Pulmonary fibrosis (PF) is the most common and aggressive interstitial lung disease, characterized by a patchy development of fibrosis leading to progressive destruction of the normal lung architecture which is preceded by an inflammatory process. Gene expression studies are important to understand the development of PF but the accuracy and reproducibility of Real-Time PCR depend on appropriate normalization strategies. This study aimed to analyze the expression variability of eight commonly used reference genes during the initial inflammatory phase of bleomycin-induced PF in a mouse model and to verify whether the selected reference genes could be applied to an in-vitro model of BLM-treated primary murine lung fibroblasts. Wild-type C57BL/6 mice (n=40) were used. Real-Time PCR was carried out on lung tissue of mice either BLM (BLM-tm) or physiological solution-treated (PSS-tm), and in primary lung fibroblasts, isolated from healthy C57BL/6 mice. Histological analysis was performed to confirm the inflammation development. During inflammation, the most stable genes resulted: PPIA, HPRT-1 and SDHA for both models; the normalization strategy was tested analyzing mRNA expression of PTX-3 and TNF-α which resulted up-regulated both in ex-vivo and in-vitro with respect to PSS-tm/fibroblasts. Histological analysis supported the results. This study identified a new set of reference genes expressed both in the in-vitro and ex-vivo models. A higher expression of both markers in BLM-tm with respect to PSS-tm indicated that BLM might lead to increased PTX-3 local production by a co-regulation with TNF-α at lung level.

Cold exposure induces the acquisition of brown adipocyte gene expression profiles in cattle inguinal fat normalized with a new set of reference genes for qRT-PCR

The last few years have seen great advances in our understanding of browning in white adipose tissue (WAT) where white adipocytes take on characteristics of brown adipocytes. At present, the economic significance of browning for animal husbandry is beginning to be realized with the emerging evidence that browning affects body weight not only in human and rodent but in farm animals. Quantitative RT-PCR provides a quick and sensitive way to preliminary determine browning of WAT. However, there have been no established condition specific reference genes for browning of cattle WAT. As the results showed, the most two stable reference genes for diet treatment were Wdr33 (M=0.38) and Hdac3 (M=0.43), while the most three internal controls for temperature treatment were Hdac3 (M=0.28), Wdr33 (M=0.32), and Hprt1 (M=0.39) among the ten candidates. The mRNA relative expression levels of selective marker genes were normalized by normalization factor (geometric mean of control genes quantities). Cold exposure rather than high energy diet induced transcript elevations of brite specific markers (Cited1, Tbx1), thermoregulatory markers (brown and beige versus white markers, i.e., Cidea, Cox7a1, Ucp1), mitochondrial biogenesis markers (Nrf1, Nrf2, Tfam), and transcription regulators (brown and beige versus white markers, i.e., Pgc1α) (P<0.05) in cattle inguinal fat (iWAT). Quantitative RT-PCR is a preliminary study for WAT browning. In conclusion, cattle inguinal fat acquired brown adipocyte gene expression features upon cold acclimation with prerequisite identification of stable reference genes.

A new set of reference genes for RT-qPCR assays in the yeast Dekkera bruxellensis

The yeast Dekkera bruxellensis has been recently regarded as an important microorganism for bioethanol production owing to its ability to convert glucose, sucrose, and cellobiose to ethanol. The aim of this work was to validate a new set of reference genes for gene expression analysis by quantitative real-time PCR in D. bruxellensis and compare the influence of the method of choice for quantification of mRNA levels with the reliability of our data. Three candidate reference genes, DbEFA1, DbEFB1, and DbYNA1, were used in a quantitative analysis of 4 genes of interest, DbYNR1, DbTPS1, DbADH7, and DbUBA4, based on an approach for calculating the normalization factors by means of the geNorm applet. Each reference gene was also individually used for a 2(-ΔΔC(q)) (comparative C(q) method) calculation of the relative expression of genes of interest. Our results showed that the 3 reference genes provided enough stability and were complementary to the normalization factors method in different culture conditions. This work was able to confirm the usefulness of a previously reported reference gene, EFA1/TEF1, and increased the set of possible reference genes in D. bruxellensis to 4. Moreover, this can improve the reliability of the analysis of the regulation of gene expression in the industrial yeast D. bruxellensis.

Age-related changes in relative expression stability of commonly used housekeeping genes in selected porcine tissues

BackgroundGene expression analysis using real-time RT-PCR (qRT-PCR) is increasingly important in biological research due to the high-throughput and accuracy of qRT-PCR. For accurate and reliable gene expression analysis, normalization of gene expression data against housekeeping genes or internal control genes is required. The stability of reference genes has a tremendous effect on the results of relative quantification of gene expression by qRT-PCR. The expression stability of reference genes could vary according to tissues, age of individuals and experimental conditions. In the pig however, very little information is available on the expression stability of reference genes. The aim of this research was therefore to develop a new set of reference genes which can be used for normalization of mRNA expression data of genes expressed in varieties of porcine tissues at different ages.ResultsThe mRNA expression stability of nine commonly used reference genes (B2M, BLM, GAPDH, HPRT1, PPIA, RPL4, SDHA, TBP and YWHAZ) was determined in varieties of tissues collected from newborn, young and adult pigs. geNorm, NormFinder and BestKeeper software were used to rank the genes according to their stability. geNorm software revealed that RPL4, PPIA and YWHAZ showed high stability in newborn and adult pigs, while B2M, YWHAZ and SDHA showed high stability in young pigs. In all cases, GAPDH showed the least stability in geNorm. NormFinder revealed that TBP was the most stable gene in newborn and young pigs, while PPIA was most stable in adult pigs. Moreover, geNorm software suggested that the geometric mean of three most stable gene would be the suitable combination for accurate normalization of gene expression study.ConclusionsAlthough, there was discrepancy in the ranking order of reference genes obtained by different analysing software methods, the geometric mean of the RPL4, PPIA and YWHAZ seems to be the most appropriate combination of housekeeping genes for accurate normalization of gene expression data in different porcine tissues at different ages.

Reference genes for gene expression studies in wheat flag leaves grown under different farming conditions

BackgroundInternal control genes with highly uniform expression throughout the experimental conditions are required for accurate gene expression analysis as no universal reference genes exists. In this study, the expression stability of 24 candidate genes from Triticum aestivum cv. Cubus flag leaves grown under organic and conventional farming systems was evaluated in two locations in order to select suitable genes that can be used for normalization of real-time quantitative reverse-transcription PCR (RT-qPCR) reactions. The genes were selected among the most common used reference genes as well as genes encoding proteins involved in several metabolic pathways.FindingsIndividual genes displayed different expression rates across all samples assayed. Applying geNorm, a set of three potential reference genes were suitable for normalization of RT-qPCR reactions in winter wheat flag leaves cv. Cubus: TaFNRII (ferredoxin-NADP(H) oxidoreductase; AJ457980.1), ACT2 (actin 2; TC234027), and rrn26 (a putative homologue to RNA 26S gene; AL827977.1). In addition of these three genes that were also top-ranked by NormFinder, two extra genes: CYP18-2 (Cyclophilin A, AY456122.1) and TaWIN1 (14-3-3 like protein, AB042193) were most consistently stably expressed.Furthermore, we showed that TaFNRII, ACT2, and CYP18-2 are suitable for gene expression normalization in other two winter wheat varieties (Tommi and Centenaire) grown under three treatments (organic, conventional and no nitrogen) and a different environment than the one tested with cv. Cubus.ConclusionsThis study provides a new set of reference genes which should improve the accuracy of gene expression analyses when using wheat flag leaves as those related to the improvement of nitrogen use efficiency for cereal production.

Critical selection of reliable reference genes for gene expression study in the HepaRG cell line

The human HepaRG cell line has shown to be a valuable in vitro tool for repeated exposure to chemical compounds and to evaluate their potential toxic outcome. Seen the importance given by the actual EU legislation of cosmetics and chemical substances to the use of in vitro methods in human safety evaluation, one can expect that HepaRG cells will gain importance as human-relevant cell source. At the transcriptional level, RT-qPCR assays are often used to obtain quantitative results. The choice of internal control is important since it may affect the study outcome. Indeed, it is well-known that expression levels of traditional reference genes can vary across tissue types and across experimental settings within one specific tissue type. From a review of the scientific literature, it appears that, for HepaRG cells, S18 often is used as internal control, but without any evidence of its expression stability in this cell line. Therefore, we aimed to select the most optimal reference genes for gene expression studies in HepaRG cells and to check whether S18 is a suitable reference gene. Twelve candidate genes’ expression stability level was analyzed by three algorithms (geNorm, BestKeeper, Normfinder), which identified the optimal single reference gene ( TBP) and the most suitable set of reference genes ( TBP, UBC, SDHA, RLP13, YHWAZ, HMBS, B2M and HPRT1) for HepaRG transcriptional profiling. This study provides a new set of reference genes that is suitable for testing whenever RT-qPCR data for HepaRG cells are generated. The most stable ones can then be selected for further normalization.

Defining reference genes in Oryza sativausing organ, development, biotic and abiotic transcriptome datasets

BackgroundReference genes are widely used to normalise transcript abundance data determined by quantitative RT-PCR and microarrays. However, the approaches taken to define reference genes can be variable. Although Oryza sativa (rice) is a widely used model plant and important crop specie, there has been no comprehensive analysis carried out to define superior reference genes.ResultsAnalysis of 136 Affymetrix transcriptome datasets comprising of 373 genome microarrays from studies in rice that encompass tissue, developmental, abiotic, biotic and hormonal transcriptome datasets identified 151 genes whose expression was considered relatively stable under all conditions. A sub-set of 12 of these genes were validated by quantitative RT-PCR and were seen to be stable under a number of conditions. All except one gene that has been previously proposed as a stably expressed gene for rice, were observed to change significantly under some treatment.ConclusionA new set of reference genes that are stable across tissue, development, stress and hormonal treatments have been identified in rice. This provides a superior set of reference genes for future studies in rice. It confirms the approach of mining large scale datasets as a robust method to define reference genes, but cautions against using gene orthology or counterparts of reference genes in other plant species as a means of defining reference genes.

Development of a new set of reference genes for normalization of real-time RT-PCR data of porcine backfat and longissimus dorsi muscle, and evaluation with PPARGC1A

BackgroundAn essential part of using real-time RT-PCR is that expression results have to be normalized before any conclusions can be drawn. This can be done by using one or multiple, validated reference genes, depending on the desired accuracy of the results. In the pig however, very little information is available on the expression stability of reference genes. The aim of this study was therefore to develop a new set of reference genes which can be used for normalization of mRNA expression data of genes expressed in porcine backfat and longissimus dorsi muscle, both representing an economically important part of a pig's carcass. Because of its multiple functions in fat metabolism and muscle fibre type composition, peroxisome proliferative activated receptor γ coactivator 1α (PPARGC1A) is a very interesting candidate gene for meat quality, and was an ideal gene to evaluate our developed set of reference genes for normalization of mRNA expression data of both tissue types.ResultsThe mRNA expression stability of 10 reference genes was determined. The expression of RPL13A and SDHA appeared to be highly unstable. After normalization to the geometric mean of the three most stably expressed reference genes (ACTB, TBP and TOP2B), the results not only showed that the mRNA expression of PPARGC1A was significantly higher in each of the longissimus dorsi muscle samples than in backfat (P < 0.05), but also that the expression was significantly higher in the most cranial of the three muscle samples (P < 0.05).ConclusionThis study provides a new set of reference genes (ACTB, TBP and TOP2B) suitable for normalization of real-time RT-PCR data of backfat and longissimus dorsi muscle in the pig. The obtained PPARGC1A expression results, after application of this set of reference genes, are a first step in unravelling the PPARGC1A expression pattern in the pig and provide a basis for possible selection towards improved meat quality while maintaining a lean carcass.