Normalization Of Gene Expression Studies Research Articles

Transcriptome-guided selection of stable reference genes for expression analysis in spinach.

Accurate measurement of gene expression levels is vital for advancing plant biology research. This study explores the identification and validation of stable reference genes (RGs) for gene expression analysis in Spinacia oleracea. Leveraging transcriptome data from various developmental stages, we employed rigorous statistical analyses to identify potential RGs. A total of 1196 candidate genes were initially screened based on expression variability, with subsequent refinement using criteria such as low variance and stability. Among 12 commonly used candidate RGs, EF1α and H3 emerged as the most stable across diverse experimental conditions, while GRP and PPR exhibited lower stability. These findings were further validated through qRT-PCR assays and comprehensive statistical analyses, including geNorm, NormFinder, BestKeeper, and RefFinder. Our study underscores the importance of systematic RG selection to ensure accurate normalization in gene expression studies, particularly in the context of S. oleracea developmental stages and physiological processes like flowering. These validated RGs provide a robust foundation for future gene expression analysis in S. oleracea and contribute to the advancement of molecular research in plant biology.

Reference gene evaluation for normalization of gene expression studies with lymph tissue and node‑derived stromal cells of patients with oral squamous cell carcinoma.

Profiling studies using reverse transcription quantitative PCR (RT-qPCR) require reliable normalization to reference genes to accurately interpret the results. A stable reference gene panel was established to profile metastatic and non-metastatic lymph nodes in patients with oral squamous cell carcinoma. The stability of 18S ribosomal RNA (18SrRNA), ribosomal Protein Lateral Stalk Subunit P0 (RPLP0), ribosomal Protein L27 (RPL27), TATA-box binding protein (TBP), hypoxanthine phosphoribosyl-transferase 1 (HPRT1), beta-actin (ACTB), glyceraldehyde-3-Phosphate Dehydrogenase (GAPDH) and vimentin (VIM) was evaluated, as reference genes for profiling patient-derived lymph node stromal cells (LNSCs; N=8; N0:6, N+:2) and lymph node tissues (Patients:14, Nodes=20; N0:7; N+:13). The genes were initially assessed based on their expression levels, specificity, and stability rankings to identify the best combination of reference genes. VIM was excluded from the final analysis because of its low expression (high quantification cycle >32) and multiple peaks in the melting curve. The stability analysis was performed using Reffinder, which utilizes four tools; geNorm, NormFinder, BestKeeper and Comparative ∆Ct methods, thereby enabling the computing of a comprehensive ranking. Evaluation of the gene profiles indicated that while RPLP0 and 18SrRNA were stable in both lymph node tissues and LNSCs, HPRT1, RPL27 were uniquely stable in these tissues whereas ACTB and TBP were most stable in LNSCs. The present study identified the most stable reference gene panel for the RT-qPCR profiling of lymph node tissues and patient-derived LNSCs. The observation that the gene panel differed between the two model systems further emphasized the need to evaluate the reference gene subset based on the disease and cellular context.

Selection of stable housekeeping genes for gene expression studies in different varieties of black pepper (Piper nigrum L.)

Real Time quantitative PCR (RT-qPCR) is a widely used technique to study the transcript level modulation of genes during developmental stages of crop plants as well as in stress responses. Suitable reference genes have not been validated in many plants including black pepper. In this study, expression stability of six commonly used housekeeping genes viz., actin, ?-tubulin, elongation factor, initiation factor, ubiquitin and glyceraldehyde 3- phosphate dehydrogenase were evaluated by RT-qPCR during the growth of the black pepper inflorescence of varieties viz., Panniyur 1, Karimunda and Thekken. The results were analyzed using geNorm and Normfinder statistical algorithms. Stable reference gene is critical for the accurate normalization of target gene data in RT-qPCR. In this study actin, elongation factor and initiation factor were identified as the most stable housekeeping gene in different black pepper varieties viz., Thekken, Panniyur 1 and Karimunda respectively. Actin in combination with GAPDH and elongation factor were obtained as optimal reference genes for Thekken. It is the first report on identification of stable housekeeping gene in different varieties of black pepper and can aid in expression studies in black pepper for yield improvement. The study will aid in normalization of gene expression studies in different varieties of black pepper.

Evaluating and Validating Sunflower Reference Genes for Q-PCR Studies Under High Temperature Condition.

Q-PCR is the method of choice for PCR- based transcriptomics and validating microarray-based and RNA-seq results. Proper application of this technology requires proper normalization to correct as much as possible errors propagating during RNA extraction and cDNA synthesis. The investigation was performed to find stable reference genes in sunflower under shifting in ambient temperature. Sequences of five well-known reference genes of Arabidopsis (Actin, Ubiquitin, Elongation factor-1, GAPDH, and SAND) and one well-known reference gene inhuman, Importin, were subjected to BLASTX against sunflower databases and the relevant genes were subjected to primer designing for q-PCR. Two sunflower inbred lines were cultivated at two dates so that anthesis occurred at nearly 30 °C and 40 °C (heat stress). The experiment was repeated for two years. Q-PCR was run on samples taken for two planting date separately at the beginning of anthesis for each genotype from leaf, taproots, receptacle base, immature and mature disc flowers and on pooled samples comprising of the tissues for each genotype, planting dates and also all tissues for both genotypes and both planting dates. Basic statistical properties of each candidate gene across all the samples were calculated. Furthermore, gene expression stability analysis was done for six candidate reference genes on Cq mean of two years using three independent algorithms, geNorm, Bestkeeper, and Refinder. Designed primers for Actin2, SAND, GAPDH, Ubiquitin, EF-1a, and Importin yielded a single peak in melting curve analysis indicating specificity of the PCR reaction. Basic statistical analysis showed that Actin2 and EF-1a had the highest and lowest expression levels across all the samples, respectively. Actin2 appeared to be the most stable reference gene across all the samples based on the three used algorithms. Pairwise variation analysis revealed that for samples taken under ambient temperature of 30 °C, Actin2, EF-1a, SAND and for those taken under ambient temperature of 40 °C, Actin2, EF-1a, Importin and SAND have to be used for normalization in q-PCR studies. Moreover, it is suggested that normalization to be based on Actin2, SAND and EF-1a for vegetative tissues and Actin2, EF-1a, SAND and Importin for reproductive tissues. In the present research, proper reference genes for normalization of gene expression studies under heat stress conditions were introduced. Moreover, the presence of genotype-by- planting date interaction effects and tissue specific gene expression pattern on the behavior of the most three stable reference genes was indicated.

Gene Expression Studies in Formalin-Fixed Paraffin-Embedded Samples of Cutaneous Cancer: The Need for Reference Genes.

Formalin-fixed paraffin-embedded (FFPE) tumour samples may provide crucial data regarding biomarkers for neoplasm progression. Analysis of gene expression is frequently used for this purpose. Therefore, mRNA expression needs to be normalized through comparison to reference genes. In this study, we establish which of the usually reported reference genes is the most reliable one in cutaneous malignant melanoma (MM) and cutaneous squamous cell carcinoma (CSCC). ACTB, TFRC, HPRT1 and TBP expression was quantified in 123 FFPE samples (74 MM and 49 CSCC biopsies) using qPCR. Expression stability was analysed by NormFinder and Bestkeeper softwares, and the direct comparison method between means and SD. The in-silico analysis with BestKeeper indicated that HPRT1 was more stable than ACTB and TFRC in MM (1.85 vs. 2.15) and CSCC tissues (2.09 vs. 2.33). The best option to NormFinder was ACTB gene (0.56) in MM and TFRC (0.26) in CSCC. The direct comparison method showed lower SD means of ACTB expression in MM (1.17) and TFRC expression in CSCC samples (1.00). When analysing the combination of two reference genes for improving stability, NormFinder indicated HPRT1 and ACTB to be the best for MM samples, and HPRT1 and TFRC genes for CSCC. In conclusion, HPRT1 and ACTB genes in combination are the most appropriate choice for normalization in gene expression studies in MM FFPE tissue, while the combination of HPRT1 and TFRC genes are the best option in analysing CSCC FFPE samples. These may be used consistently in forthcoming studies on gene expression in both tumours.

Selecting and validating reference genes for quantitative real-time PCR in Plutella xylostella (L.).

Gene expression analysis provides important clues regarding gene functions, and quantitative real-time PCR (qRT-PCR) is a widely used method in gene expression studies. Reference genes are essential for normalizing and accurately assessing gene expression. In the present study, 16 candidate reference genes (ACTB, CyPA, EF1-α, GAPDH, HSP90, NDPk, RPL13a, RPL18, RPL19, RPL32, RPL4, RPL8, RPS13, RPS4, α-TUB, and β-TUB) from Plutella xylostella were selected to evaluate gene expression stability across different experimental conditions using five statistical algorithms (geNorm, NormFinder, Delta Ct, BestKeeper, and RefFinder). The results suggest that different reference genes or combinations of reference genes are suitable for normalization in gene expression studies of P. xylostella according to the different developmental stages, strains, tissues, and insecticide treatments. Based on the given experimental sets, the most stable reference genes were RPS4 across different developmental stages, RPL8 across different strains and tissues, and EF1-α across different insecticide treatments. A comprehensive and systematic assessment of potential reference genes for gene expression normalization is essential for post-genomic functional research in P. xylostella, a notorious pest with worldwide distribution and a high capacity to adapt and develop resistance to insecticides.

ACTB and SDHA Are Suitable Endogenous Reference Genes for Gene Expression Studies in Human Astrocytomas Using Quantitative RT-PCR.

Background:Quantitative real-time reverse-transcription polymerase chain reaction is frequently used as research tool in experimental oncology. There are some studies of valid endogenous control genes in the field of human glioma research, which, however, only focus on the comparison between normal brain with tumor tissue and malignant transformation toward secondary glioblastomas. Aim of this study was to validate a more general reference gene also suitable for pre- and posttreatment analysis and other evaluations (eg, primary vs secondary glioblastoma).Methods:This quantitative polymerase chain reaction analysis was performed to test a panel of the 6 most suitable reference genes from other studies representing different physiological pathways (ACTB, GAPDH, POLR2A, RPL13A, SDHA, and TBP) in all common glioma groups, namely: diffuse astrocytoma World Health Organization II, anaplastic astrocytoma World Health Organization III, secondary glioblastoma World Health Organization IV with and without chemotherapy, primary glioblastoma, recurrent glioblastoma, and gliomas before and after radiation. Expression stability was tested during the longitudinal course of the disease in 8 single patients.Results:Evaluation of the expression levels of the 6 target genes showed that ACTB, GAPDH, and RPL13A show higher expression compared to SDHA, POLR2A, and TBP. ACTB, GAPDH, and RPL13A showed different expression levels between astrozytoma grade II and primary glioblastoma. Except for this difference, the candidate genes were not differentially expressed between primary and secondary glioblastomas and between the World Health Organization tumor grades. Furthermore, they remained stable before and after radiotherapy and/or chemotherapy. Therefore, they are adequate references for glioblastoma gene expression studies. The comparison of all tested genes resulted in SDHA and ACTB as most stable reference genes determined by the NormFinder software. Our data revealed lowest intragroup variation in the SDHA, highest in the RPL13A gene.Conclusions:All tested genes may be recommended as universal reference genes for data normalization in gene expression studies under different treatment regimens both in primary glioblastomas and astrocytomas of different grades (World Health Organization grades II-IV), respectively. In summary, ACTB and SDHA exhibited the best stability values and showed the lowest intergroup expression variability.

WITHDRAWN: Selection of reference genes in five types of human tissues for normalization of gene expression studies in infectious diseases

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Reference gene stability of a synanthropic fly, Chrysomya megacephala.

BackgroundStable reference genes are essential for accurate normalization in gene expression studies with reverse transcription quantitative polymerase chain reaction (qPCR). A synanthropic fly, Chrysomya megacephala, is a well known medical vector and forensic indicator. Unfortunately, previous studies did not look at the stability of reference genes used in C. megacephala.ResultsIn this study, the expression level of Actin, ribosomal protein L8 (Rpl8), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1α (EF1), α-tubulin (α-TUB), β-tubulin (β-TUB), TATA binding box (TBP), 18S rRNA (18S) and ribosomal protein S7 (Rps7) were evaluated for their stability using online software RefFinder, which combines the normal software of the ΔCt method, BestKeeper, Normfinder, and geNorm. Moreover the number of suitable reference gene pairs was also suggested by Excel-based geNorm. The expression levels of these reference genes were evaluated under different experimental conditions with special perspectives of forensic applications: developmental stages (eggs, first, second and third instar larvae, pupae and adults); food sources of larvae (pork, fish and chicken); feeding larvae with drugs (untreated control, Estazolam and Marvelon); feeding larvae with heavy metals (untreated control, cadmium and zinc); tissues of adults (head, thorax, abdomen, legs and wings). According to RefFinder, EF1 was the most suitable reference gene of developmental stages, food and tissues; 18S and GAPDH were the most suitable reference genes for drugs and heavy metals, respectively, which could be widely used for quantification of target gene expression with qPCR in C. megacephala. Suitable reference gene pairs were also suggested by geNorm.ConclusionThis fundamental but vital work should facilitate the gene studies of related biological processes and deepen the understanding in physiology, toxicology, and especially medical and forensic entomology of C. megacephala.Electronic supplementary materialThe online version of this article (doi:10.1186/s13071-015-1175-9) contains supplementary material, which is available to authorized users.

Cloning and validation of reference genes for normalization of gene expression studies in pearl millet [Pennisetum glaucum (L.) R. Br.] by quantitative real-time PCR

To facilitate gene expression studies in pearl millet (Pennisetum glaucum (L.) R. Br.), the key reference genes including ACP, ACT, TUB, CYP, EF-1α, EIF4A, GAPDH, MDH, PP2C, UBC and S24 were selected based on the available literature, and their expression stabilities were studied to determine their suitability for normalizing gene expression in pearl millet. Sequence information of the reference genes were obtained from the closely related species and cloned from pearl millet using homology based cloning strategy. Further, expression stabilities were validated for their accurate expression in different tissues, genotypes and abiotic stress treatments using three statistical algorithms including geNorm, NormFinder and RefFinder. Analysis showed that while the expression of EF-1α and EIF4A was most stable in different plant tissues, MDH and EIF4A were stable under different abiotic stress conditions. Amongst the different genotypes of pearl millet tested, while UBC and MDH genes exhibited most stable expression, MDH and ACP showed greater stability in all samples set. Interestingly, the widely used reference genes S24 and TUB were found to be least stable across all the tested samples. Pair-wise analysis showed that two reference genes were sufficient for proper normalization, except when analyzing the gene expression studies in all samples set. Results of this study can help in the selection of reference genes for quantitative real time PCR (qRT-PCR) normalization in pearl millet that will contribute towards more accurate and reliable quantification of transcripts in this important crop of the drylands.

Identification of optimal reference genes for gene expression normalization in a wide cohort of endometrioid endometrial carcinoma tissues.

Accurate normalization is a primary component of a reliable gene expression analysis based on qRT-PCR technique. While the use of one or more reference genes as internal controls is commonly accepted as the most appropriate normalization strategy, many qPCR-based published studies still contain data poorly normalized and reference genes arbitrarily chosen irrespective of the particular tissue and the specific experimental design. To date, no validated reference genes have been identified for endometrial cancer tissues. In this study, 10 normalization genes (GAPDH, B2M, ACTB, POLR2A, UBC, PPIA, HPRT1, GUSB, TBP, H3F3A) belonging to different functional and abundance classes in various tissues and used in different studies, were analyzed to determine their applicability. In total, 100 endometrioid endometrial cancer samples, which were carefully balanced according to their tumor grade, and 29 normal endometrial tissues were examined using SYBR Green Real-Time RT-PCR. The expression stability of candidate reference genes was determined and compared by means of geNorm and NormFinder softwares. Both algorithms were in agreement in identifying GAPDH, H3F3A, PPIA, and HPRT1 as the most stably expressed genes, only differing in their ranking order. Analysis performed on the expression levels of all candidate genes confirm HPRT1 and PPIA as the most stably expressed in the study groups regardless of sample type, to be used alone or better in combination. As the stable expression of HPRT1 and PPIA between normal and tumor endometrial samples fulfill the basic requirement of a reference gene to be used for normalization purposes, HPRT1 expression showed significant differences between samples from low-grade and high-grade tumors. In conclusion, our results recommend the use of PPIA as a single reference gene to be considered for improved reliability of normalization in gene expression studies involving endometrial tumor samples at different tumor degrees.

The Importance of Reference Gene Analysis of Formalin-Fixed, Paraffin-Embedded Samples from Sarcoma Patients — An Often Underestimated Problem

Objective: Reverse transcription quantitative real-time polymerase chain reaction is efficient for quantification of gene expression, but the choice of reference genes is of paramount importance as it is essential for correct interpretation of data. This is complicated by the fact that the materials often available are routinely collected formalin-fixed, paraffin-embedded (FFPE) samples in which the mRNA is known to be highly degraded. The purpose of this study was to investigate 22 potential reference genes in sarcoma FFPE samples and to study the variation in expression level within different samples taken from the same tumor and between different histologic types. Methods: Twenty-nine patients treated for sarcoma were enrolled. The samples encompassed 82 (FFPE) specimens. Extraction of total RNA from 7-μm FFPE sections was performed using a fully automated, bead-base RNA isolation procedure, and 22 potential reference genes were analyzed by reverse transcription quantitative real-time polymerase chain reaction. The stability of the genes was analyzed by RealTime Statminer. The intrasamples variation and the interclass correlation coefficients were calculated. The linear regression model was used to calculate the degradation of the mRNA over time. Results: The quality of RNA was sufficient for analysis in 84% of the samples. Recommended reference genes differed with histologic types. However, PPIA, SF3A1, and MRPL19 were stably expressed regardless of the histologic type included. The variation in ∆Cq value for samples from the same patients was similar to the variation between patients. It was possible to compensate for the time-dependent degradation of the mRNA when normalization was made using the selected reference genes. Conclusion: PPIA, SF3A1, and MRPL19 are suitable reference genes for normalization in gene expression studies of FFPE samples from sarcoma regardless of the histology.

Selection and validation of reference genes for transcript normalization in gene expression studies in Catharanthus roseus

Quantitative Real-Time PCR (qPCR), a sensitive and commonly used technique for gene expression analysis, requires stably expressed reference genes for normalization of gene expression. Up to now, only one reference gene for qPCR analysis, corresponding to 40S Ribosomal protein S9 (RPS9), was available for the medicinal plant Catharanthus roseus, the only source of the commercial anticancer drugs vinblastine and vincristine. Here, we screened for additional reference genes for this plant species by mining C. roseus RNA-Seq data for orthologs of 22 genes known to be stably expressed in Arabidopsis thaliana and qualified as superior reference genes for this model plant species. Based on this, eight candidate C. roseus reference genes were identified and, together with RPS9, evaluated by performing qPCR on a series of different C. roseus explants and tissue cultures. NormFinder, geNorm and BestKeeper analyses of the resulting qPCR data revealed that the orthologs of At2g28390 (SAND family protein, SAND), At2g32170 (N2227-like family protein, N2227) and At4g26410 (Expressed protein, EXP) had the highest expression stability across the different C. roseus samples and are superior as reference genes as compared to the traditionally used RPS9. Analysis of publicly available C. roseus RNA-Seq data confirmed the expression stability of SAND and N2227, underscoring their value as reference genes for C. roseus qPCR analysis.

Selection of Referent Transcript for Normalization of Gene Expression in Cervical Cytology Samples

Real-time polymerase chain reaction is widely used in gene expression studies but this requires an appropriate referent gene for data normalization. So far, no gold standard is available and the selection has to be empirically validated. The aim of this study was to identify the most stable referent gene in exfoliated cervical cells with different degrees of cervical pathology. Seventy-five samples were used, 18 were from normal cervices, 18 from cervical intraepithelial neoplasia (CIN) 1, 17 from CIN 2, 17 from CIN 3, and 5 from squamous cell carcinoma. Using NormFinder, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was found to be the most stably expressed referent gene with a stability value of 0.37 across all lesion grades. Followed by RPL4 (stability value of 0.77) and β-actin (0.77), large ribosomal protein P0 (1.01), and PKG1 (1.02). The results of expression stability by geNorm showed that normal cervices were more varied, with stability values ranging from 2.85 to 3.46, with β-actin performing slightly better than GAPDH (M: 2.85 vs. 2.98). For the CIN 1 to 3, GAPDH was determined to be the most stably expressed gene (M: 0.94 to 1.37). The next most stable gene expressed was PKG1 (M: 1.02 to 1.44). However, the sample size for squamous cell carcinoma was too small for justification. In conclusion, overall GAPDH is the most stable referent gene expressed across all cervical lesion grades and is most suitable for normalization in gene expression studies.

Evaluation of suitable reference genes for qRT-PCR gene expression normalization in reproductive, vegetative tissues and during fruit development in oil palm

Gene expression patterns of a target gene in different tissues and at different stages of development can provide clues towards the understanding of its biological function. The accuracy of gene expression via quantitative real-time reverse transcription-PCR (qRT-PCR) analysis strongly depends on transcript normalization using reference genes that demonstrate consistent expression levels in tissues and experimental conditions studied. However, suitable reference genes for qRT-PCR in oil producing fruit have not been well identified. In this study, the expression stability of fourteen potential reference genes for qRT-PCR analysis in diverse sets of biological samples including six distinct oil palm organs, two floral tissues, four vegetative tissues, five stages of fruit development and two differential phenotype fruit tissue was evaluated. The expression stabilities were assessed using three statistical algorithms including geNorm, NormFinder and qBASE plus. The stability rankings from three outputs were consolidated to obtain the consensus stability ranking of all reference genes. Our analysis showed that a Gibberellin-responsive protein (GRAS) and Cyclophilin 2 (Cyp2) were the most stable genes in oil palm tissues tested. A combination of Cyp2, GRAS and SLU7 were identified as most suitable reference genes for all oil palm tissues and vegetative tissues set while in reproductive tissues set, GRAS and Glutaredoxin was recommended. Cyp2 and GRAS were required for normalization in mesocarp tissues at various developmental stages and differential oil yielding mesocarp tissues. In addition, the relative gene expression profile of two fatty acid biosynthesis genes, EgACCase and EgSTEA was conducted to confirm the validity of the reference genes in this study. Both EgACCase and EgSTEA were analyzed in fruit tissues at various developmental stages. This study identified the most suitable reference genes for normalization of gene expression in oil palm. These results serve as a guideline for the selection of suitable reference genes under different experimental conditions and accurate normalization of gene expression studies in a wide variety of tissues in oil palm.

Evaluation and validation of internal control genes for studying gene expression in the dinoflagellate Prorocentrum minimum using real-time PCR

Housekeeping genes (HKGs) are required for the normalization of expression levels in real-time PCR, and their selection is critical for gene expression studies. However, stable expressions of candidate HKGs vary among organisms and tissues and even according to environmental conditions. Here, we evaluated the gene expressions of 10 frequently used HKGs, including 18S rRNA, P2, ACT, TUA, TUB, CYC, eIF4E, MDH, UBQ, and GAPDH, with a total of 17 RNA samples extracted from the dinoflagellate Prorocentrum minimum. All the RNAs were prepared from various cells cultured under different conditions, including thermal shocks, toxic chemical exposures, and different life stages. Via CT analyses of the 10 HKGs using the geNorm software, TUA was selected as the most stable HKG for gene expression studies of the dinoflagellate, followed by MDH. Pair-wise variation (V) analysis showed that at least 2 genes were required for accurate normalization of gene expression studies depending on the experimental conditions. These HKGs are useful internal controls for the normalization of gene expression in P. minimum.

Identification and Validation of Reference Genes for Quantitative Real-Time Polymerase Chain Reaction in Cimex lectularius

Quantitative real-time polymerase chain reaction (qRT-PCR) has emerged as robust methodology for gene expression studies, but reference genes are crucial for accurate normalization. Commonly used reference genes are housekeeping genes that are thought to be nonregulated; however, their expression can be unstable across different experimental conditions. We report the identification and validation of suitable reference genes in the bed bug, Cimex lectularius, by using qRT-PCR. The expression stability of eight reference genes in different tissues (abdominal cuticle, midgut, Malpighian tubules, and ovary) and developmental stages (early instar nymphs, late instar nymphs, and adults) of pesticide-susceptible and pesticide-exposed C. lectularius were analyzed using geNorm, NormFinder, and BestKeeper. Overall expression analysis of the eight reference genes revealed significant variation among samples, indicating the necessity of validating suitable reference genes for accurate quantification of mRNA transcripts. Ribosomal protein (RPL18) exhibited the most stable gene expression across all the tissue and developmental-stage samples; a-tubulin revealed the least stability across all of the samples examined. Thus, we recommend RPL18 as a suitable reference gene for normalization in gene expression studies of C. lectularius.

RPN1, a new reference gene for quantitative data normalization in lung and kidney cancer

Quantitative methods of gene expression analysis in tumors require accurate data normalization, which allows comparison of different specimens with unknown mRNA/cDNA concentrations. For this purpose, reference genes with stable expression are used (e.g., GAPDH, ACTB, HPRT1, or TBP). The problem of choosing proper reference genes is still a topical issue, because well-known reference genes can be unsuitable for certain cancer types and their inappropriate use without additional testing can lead to wrong conclusions. A recently developed bioinformatical approach was employed to identify a new potential reference gene for lung and kidney tumors, RPN1, located on the long arm of chromosome 3. The method employed the mining of the dbEST and Oncomine databases and functional analysis of genes. RPN1 was selected from approximately 1500 candidate housekeeping genes. Using comparative genomic hybridization with NotI microarrays, we found no methylation, deletions, and/or amplifications in the RPN1-containing locus in 56 nonsmall cell lung and 42 clear cell renal cell cancer specimens. Real-time PCR showed that variation of RPN1 mRNA levels in nonsmall cell lung cancer and clear-cell renal cancer was low and comparable to that of the known reference genes GAPDH and GUSB, respectively. Expression levels of two hyalouronidase genes, HYAL1 and HYAL2, were assessed using the suggested references gene pairs (RPN1-GAPDH for lung cancer and RPN1-GUSB for kidney cancer), and these combinations were shown to produce accurate and reproducible data. These results suggest that RPN1 is a new, promising reference gene for quantitative data normalization in gene expression studies for lung and kidney cancers.

Selection of reference genes for gene expression studies in astrocytomas

This study was aimed to test a panel of six housekeeping genes ( GAPDH, HPRT1, POLR2A, RPLP0, ACTB, and H3F) so as to identify and validate the most suitable reference genes for expression studies in astrocytomas. GAPDH was the most stable and HPRT1 was the least stable reference gene. The effect of reference gene selection on quantitative real-time polymerase chain reaction data interpretation was demonstrated, normalizing the expression data of a selected gene of interest. Thus, GAPDH may be recommended for data normalization in gene expression studies in astrocytomas. Nevertheless, a preliminary validation of reference gene stability is required prior to every study.

Reference genes for gene expression studies on non-small cell lung cancer.

The aim of this study was to test a panel of 6 reference genes in order to identify and validate the most suitable reference genes for expression studies in paired healthy and non-small cell lung cancer tissues. Quantitative real-time PCR followed by the NormFinder- and geNorm-based analysis was employed. The study involved 21 non-small cell lung cancer patients. The analysis of experimental data revealed HPRT1 as the most stable gene followed by RPLP0 and ESD. In contrast, GAPDH was found to be the least stable gene. HPRT1 together with ESD was revealed as the pair of genes introducing the least systematic error into data normalization. Validation by bootstrap random sampling technique and by normalizing exemplary gene expression data confirmed the results. Although HPRT1 and ESD may by recommended for data normalization in gene expression studies on non-small cell lung cancer, the suitability of selected reference genes must be unconditionally validated prior to each study.