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BACKGROUND: Real-time quantitative PCR (RT-qPCR) is one of the most widely used gene expression analyses for validating RNA-seq data. This technique requires reference genes that are stable and highly expressed, at least across the different biological conditions present in the transcriptome. Reference and variable candidate gene selection is often neglected, leading to misinterpretation of the results. RESULTS: We developed a software named "Gene Selector for Validation" (GSV), which identifies the best reference and variable candidate genes for validation within a quantitative transcriptome. This tool also filters the candidate genes concerning the RT-qPCR assay detection limit. GSV was compared with other software using synthetic datasets and performed better, removing stable low-expression genes from the reference candidate list and creating the variable-expression validation list. GSV software was used on a real case, an Aedes aegypti transcriptome. The top GSV reference candidate genes were selected for RT-qPCR analysis, confirming that eiF1A and eiF3j were the most stable genes tested. The tool also confirmed that traditional mosquito reference genes were less stable in the analyzed samples, highlighting the possibility of inappropriate choices. A meta-transcriptome dataset with more than ninety thousand genes was also processed successfully. CONCLUSION: The GSV tool is a time and cost-effective tool that can be used to select reference and validation candidate genes from the biological conditions present in transcriptomic data.

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Reference genes are used as internal reaction controls for gene expression analysis, and for this reason, they are considered reliable and must meet several important criteria. In view of the absence of studies regarding the best reference gene for the analysis of acute leukemia patients, a panel of genes commonly used as endogenous controls was selected from the literature for stability analysis: Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Abelson murine leukemia viral oncogene human homolog 1 (ABL), Hypoxanthine phosphoribosyl-transferase 1 (HPRT1), Ribosomal protein lateral stalk subunit P0 (RPLP0), ß-actin (ACTB) and TATA box binding protein (TBP). The stability of candidate reference genes was analyzed according to three statistical methods of assessment, namely, NormFinder, GeNorm and R software (version 4.0.3). From this study's analysis, it was possible to identify that the endogenous set composed of ACTB, ABL, TBP and RPLP0 demonstrated good performances and stable expressions between the analyzed groups. In addition to that, the GAPDH and HPRT genes could not be classified as good reference genes, considering that they presented a high standard deviation and great variability between groups, indicating low stability. Given these findings, this study suggests the main endogenous gene set for use as a control/reference for the gene expression in peripheral blood and bone marrow samples from patients with acute leukemias is composed of the ACTB, ABL, TBP and RPLP0 genes. Researchers may choose two to three of these housekeeping genes to perform data normalization.

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Background: The liver and spleen play a pivotal role in metabolism and immune response. During stress, neuroendocrine response induces changes in gene expression, and its assessment demands the validation of the stability of the reference genes to perform relative gene expression experiments. Aim: The objective of this study was to determine the expression stability of four reference genes (GAPDH, ACTB, RNA18S, and HMBS) in the liver and spleen tissues from laying hens housed in a conventional cage (CC) and cage-free (CF) egg production systems. Methods: Liver and spleen from Hy-Line Brown hens housed in CC and CF egg production systems were used. mRNA transcript levels were determined by quantitative polymerase chain reaction (qPCR), and the gene expression stability was evaluated using geNorm, BestKeeper, and NormFinder algorithms. Results: The most stable gene from liver tissue was ACTB in CC, CF, and CC-CF groups (overall data). In the spleen, the most stable genes were GAPDH (CC), HMBS (CF), and ACTB (CC-CF). Conclusion: The ACTB gene was the most stable gene in the liver, and GAPDH and HMBS genes were stable in spleen tissues that could be used for the normalization in qPCR experiments performed in liver and spleen tissues of laying hens housed CC and CF production systems.

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Pratylenchus brachyurus causes serious damage to soybean production and other crops worldwide. Plant molecular responses to RLN infection remain largely unknown and no resistance genes have been identified in soybean. In this study, we analyzed molecular responses to RLN infection in moderately resistant BRSGO (Chapadões-BRS) and susceptible TMG115 RR (TMG) Glycine max genotypes. Differential expression analysis revealed two stages of response to RLN infection and a set of differentially expressed genes (DEGs) in the first stage suggested a pattern-triggered immunity (PTI) in both genotypes. The divergent time-point of DEGs between genotypes was observed four days post-infection, which included the activation of mitogen-activated protein kinase (MAPK) and plant-pathogen interaction genes in the BRS, suggesting the occurrence of an effector-triggered immunity response (ETI) in BRS. The co-expression analyses combined with single nucleotide polymorphism (SNP) uncovered a key element, a transcription factor phytochrome-interacting factor (PIF7) that is a potential regulator of moderate resistance to RLN infection. Two genes for resistance-related leucine-rich repeat (LRR) proteins were found as BRS-specific expressed genes. In addition, alternative splicing analysis revealed an intron retention in a myo-inositol oxygenase (MIOX) transcript, a gene related to susceptibility, may cause a loss of function in BRS.

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Quantitative real-time PCR (RT-qPCR) is used extensively in gene expression studies. For adequate comparisons, the identification and use of reliable reference genes are crucial. Nevertheless, the availability of such genes in strawberry species is limited and has yet to be described for the Chilean strawberry, Fragaria chiloensis. In this study, the expression dynamics of a set of 10 candidate reference genes were analyzed in various F. chiloensis vegetative tissues (root, runners, stem, leaf, and flower), and fruits at different ripening stages or subjected to different hormonal treatments (ABA, auxin). The expression stability of candidate genes was examined by a series of algorithms, such as geNorm, NormFinder, BestKeeper, and ΔCt, for comparisons and rankings. Finally, by using RefFinder, a comprehensive and comparative ranking of the four methods was achieved. The results highlight that the expression stability of candidate reference genes fluctuates depending on tissue type, fruit stage, and hormonal treatment. As reference genes, the use of FcCHP2 and FcACTIN1 is recommended for F. chiloensis vegetative tissues; FcDBP and FcCHP1 for fruit ripening stages; FcGAPDH and FcDBP for fruit subjected to ABA and NDGA treatments; FcCHP1 and FcCHP2 for fruit under AUXIN and TIBA treatments; and FcDBP and FcCHP2 when all fruit stages and hormonal treatments are compared. If just one reference gene is employed as a normalizer, FcDBP should be chosen as it is the most stable internal control in most conditions. Therefore, the present study delivers a set of reliable reference genes for RT-qPCR expression analysis in F. chiloensis tissues and fruits subjected to several hormonal treatments. Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-022-01227-y.

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For the first time we report the validation of reference genes in plants from a population of blueberry (Vaccinium corymbosum) clones cultured in vitro on a colchicine-supplemented medium. Nodal segment explants of the cultivar Duke were regenerated by organogenesis under different periods of colchicine 1 mg/L exposure (1, 2, 3, 5, 30 days). The clones selected for the study showed variability for phenotypic traits after 2 years of adaptation to field conditions, compared to plants of the donor genotype that were regenerated on a medium without colchicine. Vaccinium myrtillus (GAPDH) and Vaccinium macrocarpon (ATP1, NADH, RPOB and COX2) were used as reference genomes for primer design. The results show that colchicine treatments can cause genomic changes in blueberry plants. At the molecular level, exposure of plants to colchicine in early periods could promote an increase in gene expression of specific genes such as ATP1, COX2, GAPDH, MATK, NADH and RPOB. However, prolonged exposure (30 days) could decrease gene expression of the genes studied. For qPCR assays, the primers designed for ATP1, COX2, GAPDH and MATK genes showed high efficiency. In addition, the GAPDH, ATP1, NADH and COX2 genes showed high stability and could be recommended as potential reference genes for gene expression assays in Vaccinium.

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AIMS: Bacterial soft rot caused by Pectobacterium brasiliense (Pbr) has resulted in severe economic losses of cucumber production in northern China. Quantitative reverse transcription PCR (RT-qPCR) is widely used to determine the fold change in the expression of genes of interest, and an appropriate reference gene played a critical role in the evaluation of genes expression. However, the suitable reference genes for transcript normalization during the interaction between cucumber and Pbr have not yet been systematically validated. In this study, we aimed to identify the suitable reference genes for accurate and reliable normalization of cucumber and Pbr RT-qPCR data. METHODS AND RESULTS: We selected 14 candidate reference genes for cucumber and 10 candidate reference genes for Pbr were analysed by using four algorithms (the deltaCt method, BestKeeper, NormFinder and geNorm). Furthermore, five genes in cucumber involved in plant resistance and five genes in Pbr related to the virulence were selected to confirm the reliability of the reference genes by RT-qPCR. CsARF (ADP-ribosylation factor 1) and pgi (glucose-6-phosphate isomerase) were suggested as the most suitable reference genes for cucumber and Pbr respectively. CONCLUSION: Our results suggested that CsARF (ADP-ribosylation factor 1) and pgi (glucose-6-phosphate isomerase) could be as the reference genes to normalize expression data for cucumber and Pbr during the process of pathogen-host interaction respectively. SIGNIFICANCE AND IMPACT OF THE STUDY: To our knowledge, this is the first systematic study of the optimal reference genes specific to cucumber and Pbr, which could help advance the molecular interactions research in Cucurbitaceae vegetables and Pectobacterium species pathosystems.

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Coffea arabica is the most economically important coffee species worldwide. However, its production is severely limited by diseases such as rust. The mechanisms underlying constitutive defense responses in coffee are still poorly understood, compared with induced defense mechanisms. We aimed to characterize constitutive defense responses of thirteen cultivars of C. arabica. Cultivars were classified under field conditions according to the level of resistance to rust: resistant (R), moderately resistant (MR), and susceptible (S). Based on this classification, the stability of eight reference genes (RGs) was evaluated. The most stable RGs were EF1α, APT1, and 24S. We also evaluated the expression of CaWRKY1, CaPAL1, CaCAD1, and CaPOX1, and activities of PAL, CAD, and POX, which are involved in lignin biosynthesis, and leaf content of total phenolic compounds and lignin. Gene expression and enzymatic activity were not correlated with defense metabolites in the R cultivar group but showed a negative correlation with phenolic compounds in MR cultivars. Cultivar S showed positive correlations of gene expression and enzyme activity with phenolic compounds. These results may assist coffee breeding programs regarding selection of genotypes and in optimization of rust resistance.

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BACKGROUND: Andean lupin (Lupinus mutabilis Sweet) is an important leguminous crop from South America with a high protein content. In Ecuador, lupin yields are severely affected by the infestation of Delia platura larvae on germinating seeds. The application of elicitor molecules with activity against herbivorous insects to control D. platura infestation constitutes an unexplored and promising alternative for chemical insecticides. In this study, methyl jasmonate (MeJA), hexanoic acid, menadione sodium bisulfite, and DL-ß-aminobutyric acid were evaluated for their ability to induce resistance against D. platura in three commercial lupin cultivars. RESULTS: Only seeds pretreated with MeJA significantly impaired insect performance during choice and no-choice assays. Additionally, fitness indicators such as seed germination and growth were not affected by MeJA treatment. To investigate the molecular mechanisms behind the MeJA-mediated resistance, RT-qPCR assays were performed. First, RT-qPCR reference genes were validated, showing that LmUBC was the most stable reference gene. Next, expression analysis over time revealed that MeJA application up-regulated the activity of the jasmonic acid biosynthetic genes LmLOX2 and LmAOS, together with other jasmonate-related defense genes, such as LmTPS1, LmTPS4, LmPI2, LmMBL, LmL/ODC, LmCSD1, and LmPOD. CONCLUSION: This study indicates that MeJA can be used as an environmentally friendly elicitor molecule to protect Andean lupin from D. platura attack without fitness cost. MeJA application induces plant defense responses to insects in Andean lupin that may be modulated by the onset of terpenoid biosynthesis, proteinase inhibitors, lectins, polyamines, and antioxidative enzymes. © 2021 Society of Chemical Industry.

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Obtaining data on transgene copy number is an integral step in the generation of transgenic plants. Techniques such as Southern blot, segregation analysis, and quantitative PCR (qPCR) have routinely been used for this task, in a range of species. More recently, use of Digital PCR (dPCR) has become prevalent, with a measurement accuracy higher than qPCR reported. Here, the relative merits of qPCR and dPCR for transgene copy number estimation in white clover were investigated. Furthermore, given that single copy reference genes are desirable for estimating gene copy number by relative quantification, and that no single-copy genes have been reported in this species, a search and evaluation of suitable reference genes in white clover was undertaken. Results demonstrated a higher accuracy of dPCR relative to qPCR for copy number estimation in white clover. Two genes, Pyruvate dehydrogenase (PDH), and an ATP-dependent protease, identified as single-copy genes, were used as references for copy number estimation by relative quantification. Identification of single-copy genes in white clover will enable the application of relative quantification for copy number estimation of other genes or transgenes in the species. The results generated here validate the use of dPCR as a reliable strategy for transgene copy number estimation in white clover, and provide resources for future copy number studies in this species.

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The quantitative real-time polymerase chain reaction (qPCR) has been one of the most promising approaches to perform rapid and accurate quantification of DNA in various biological systems. The aim of this study was to standardized the qPCR technique for the analysis of important genes involved in the main routes of antioxidant defense against reactive oxygen species (catalase: cat and superoxide dismutase: sod) and evaluate the stability of different reference genes in blood of Caiman latirostris hatchlings. The stability of the reference genes, ß-actin, glyceraldehyde 3-phosphate dehydrogenase (gapdh) and ribosomal protein L8 (rpl8) was determined using the comparative ΔCt, NormFinder, geNorm, BestKeeper and RefFinder. Then, cat and sod genes were normalized with each reference gene and their mRNA abundances were determined through the qPCR. Stability of genes was ranked through the different methods in the following order: ß-actin, rpl8 and gapdh , under normal physiological conditions. The results reveal that cat and sod genes present a similar relative mRNA abundance with ß-actin and rpl8. This is the first report of the analysis of antioxidant mRNA as potential biomarkers of oxidative stress in blood for all crocodilians species. Besides, we determined the stability of different reference genes that can be used for normalization of mRNA abundance patterns in blood of C. latirostris, without the need to sacrifice the animals.

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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.

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BACKGROUND: RNA interference (RNAi) has been evaluated in several insect pests as a novel strategy to be included in integrated pest management. Lepidopterans are recognized to be recalcitrant to gene silencing by RNAi. As such, double-stranded RNA (dsRNA) delivery needs to be adjusted to assure its stability until it reaches the target gene transcript for silencing. Gene silencing by RNAi offers the potential to be used in the control of Tuta absoluta (Meyrick), one of the main insect pests of tomato (Solanum lycopersicum) worldwide. Here, we tested the delivery of dsRNA expressed in Escherichia coli HT115(DE3) and supplied to larvae in an artificial diet by screening target genes for silencing. We tested six target genes: juvenile hormone inducible protein (JHP); juvenile hormone epoxide hydrolase protein (JHEH); ecdysteroid 25-hydroxylase (PHM); chitin synthase A (CHI); carboxylesterase (COE); and arginine kinase (AK). RESULTS: Based on larval mortality, the duration of the larval stage in days, pupal weight, and the accumulation of the target gene transcript, we demonstrated the efficacy of bacterial dsRNA delivery for the functional effects on larval development. Providing dsRNA targeted to JHP, CHI, COE and AK by bacteria led to a significant decrease in transcript accumulation and an increase in larval mortality. CONCLUSION: Bacteria expressing dsRNA targeting essential T. absoluta genes supplied in artificial diet are efficient to screen RNAi target-genes. The oral delivery of dsRNA by bacteria is a novel potential alternative for the control of T. absoluta based on RNAi. © 2019 Society of Chemical Industry.

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Understanding into acerola (Malpighia emarginata) molecular and biochemical bases is still obscure, despite it is one of the most important natural source of vitamin C for humans. Recently, our research group published the first data on acerola transcriptome generating valuable information to identify reference genes for RT-qPCR in this species. Hence, this study aimed to identify the most stably expressed genes based on acerola transcriptome data, and further to evaluate the suitability of F-box, U3, Merad50-ATPase, TGD4, NOB1, PA-RNA, RCC1, RBL and PGAL candidates for accurate gene expression normalization in leaf, flower and fruit at 12, 16 and 20 days after anthesis using RT-qPCR analysis. Three algorithms, geNorm, NormFinder, and BestKeeper confirmed the expression stability of all nine candidate reference genes, whereas RefFinder consensually summarized a comprehensive gene ranking. Based on geNorm, the combination of the most stable reference genes RBL and U3 for leaf/flower group, TGD4, F-box and PGAL (fruit developmental stages or fruit/leaf), RCC1, PGAL and RBL (fruit/flower) and RCC1, RBL, TGD4 and PGAL (total samples) were required for accurate normalization. Moreover, the use of these reference genes to assess the expression profile of GMP1 and NAT3 genes confirmed the reliability of ranking and defined the best combination of genes recommended by geNorm and RefFinder. This work will benefit further RT-qPCR studies in these acerola organs by offering a foundation for accurate normalization of gene expression profiling.

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Psychrophilic and psychrotolerant bacteria from permanently cold environments may be the most abundant extremophiles on Earth and yet little is known on how they cope with temperature stress. Real-time reverse transcription PCR (RT-qPCR) is a powerful technique that could shed light on this matter but it requires pre-validated reference genes for normalization of data to get accurate results. In this study, we assessed the expression stability of eight candidate genes for the psychrotolerant Antarctic isolate Pseudomonas sp. AU10 during exponential growth under 4 °C and 30 °C, and after a cold-shock. Using the software programs BestKeeper and geNorm we validated recA, ftsZ, 16S rRNA, and rpoD as reference genes and we suggested the combination of recA and ftsZ for qPCR data normalization. Our results provide a starting point for gene expression studies in Antarctic Pseudomonas concerning temperature-related physiology and also for the validation of reference genes in other cold-adapted bacterial species.

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Quantitative real-time PCR (qPCR) is a valuable tool for gene expression studies and it is necessary to choose an ideal endogenous reference gene for data normalization. This work studied a set of reference genes in oocytes and cumulus cells of COCs (Cumulus-Oocyte Complexes) that are suitable for relative gene expression analyses after in vitro maturation (IVM) in bovine. Immature COCs were collected from ovaries of Nelore cattle (Bos indicus) and submitted to IVM. MII oocytes and cumulus cells were subjected to RNA extraction, reverse transcription and preamplification of cDNA. The expression level of eight reference genes (ACTB, GADPH, B2M, H2AFZ, GUSB, HPRT1, PPIA, and TBP) was measured by real time PCR and analyzed by geNorm software. The gene stability measure (M) was calculated and the ideal number of reference genes (RGs) was determined by the V value (pairwise variation). For oocyte samples, two RGs were the ideal number for relative quantification: HPRT1 and B2M and for bovine cumulus samples four were indicated: HPRT1, PPIA, B2M, and TBP genes. The normalization of a non-reference target gene (SOD1) by these reference genes was shown to be considerably different from normalization by less stable reference genes. Our results strengthen the importance of choosing good normalizing genes in order to analyze gene expression under specific experimental conditions and we suggest the use of these RGs in oocytes and cumulus cells of bovine cattle in in vitro matured COCs.

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Abstract Rabbit with hypercholesterolaemia is an important model for studying cholesterol metabolism disease. This study aimed to evaluate the expression stability of nine reference genes for quantitative PCR (qPCR) analysis in adrenal gland, liver, spleen, and kidney tissue from rabbits with hypercholesterolaemia. In total, 30 male Harbin Large White (HLW) rabbits were fed a normal feed (n = 15) or a high cholesterol feed (n = 15) for 8 weeks to induce hypercholesterolaemia. Nine reference genes were verified by qPCR using cDNA extracted from rabbit tissue samples. For qPCR analysis, reference genes were evaluated using the RefFinder and GeNorm algorithms. Overall, seven rabbits with hypercholesterolaemia were identified based on body weight and total cholesterol measurements. Combining the results of the RefFinder and GeNorm algorithms, the most stable reference genes were hypoxanthine phosphoribosyltransferase 1 (Hprt1) and eukaryotic translation elongation factor 1 alpha 1 (Eef1a1) in the adrenal gland, β-2-microglobulin (B2m) and glyceraldehyde-3-phosphate dehydrogenase (Gapdh) in the liver, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta (Ywhaz) and Gapdh in the spleen, and peptidylprolyl isomerase (Ppia), β-actin (Actb), succinate dehydrogenase complex subunit A flavoprotein (Sdha), and B2m in the kidney. Taken together, our results confirmed that Hprt1 and Eef1a1, B2m and Gapdh, Ywhaz and Gapdh, and Ppia, Actb, Sdha, and B2m were the best reference genes for qPCR analyses in adrenal gland, liver, spleen, and kidney tissue, respectively, of rabbits with hypercholesterolaemia.

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Quantitative real-time PCR (qPCR) is a valuable tool for gene expression studies and it is necessary to choose an ideal endogenous reference gene for data normalization. This work studied a set of reference genes in oocytes and cumulus cells of COCs (Cumulus-Oocyte Complexes) that are suitable for relative gene expression analyses after in vitro maturation (IVM) in bovine. Immature COCs were collected from ovaries of Nelore cattle (Bos indicus) and submitted to IVM. MII oocytes and cumulus cells were subjected to RNA extraction, reverse transcription and preamplification of cDNA. The expression level of eight reference genes (ACTB, GADPH, B2M, H2AFZ, GUSB, HPRT1, PPIA, and TBP) was measured by real time PCR and analyzed by geNorm software. The gene stability measure (M) was calculated and the ideal number of reference genes (RGs) was determined by the V value (pairwise variation). For oocyte samples, two RGs were the ideal number for relative quantification: HPRT1 and B2M and for bovine cumulus samples four were indicated: HPRT1, PPIA, B2M, and TBP genes. The normalization of a non-reference target gene (SOD1) by these reference genes was shown to be considerably different from normalization by less stable reference genes. Our results strengthen the importance of choosing good normalizing genes in order to analyze gene expression under specific experimental conditions and we suggest the use of these RGs in oocytes and cumulus cells of bovine cattle in in vitro matured COCs

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Quantitative real-time PCR (qPCR) is a valuable tool for gene expression studies and it is necessary to choose an ideal endogenous reference gene for data normalization. This work studied a set of reference genes in oocytes and cumulus cells of COCs (Cumulus-Oocyte Complexes) that are suitable for relative gene expression analyses after in vitro maturation (IVM) in bovine. Immature COCs were collected from ovaries of Nelore cattle (Bos indicus) and submitted to IVM. MII oocytes and cumulus cells were subjected to RNA extraction, reverse transcription and preamplification of cDNA. The expression level of eight reference genes (ACTB, GADPH, B2M, H2AFZ, GUSB, HPRT1, PPIA, and TBP) was measured by real time PCR and analyzed by geNorm software. The gene stability measure (M) was calculated and the ideal number of reference genes (RGs) was determined by the V value (pairwise variation). For oocyte samples, two RGs were the ideal number for relative quantification: HPRT1 and B2M and for bovine cumulus samples four were indicated: HPRT1, PPIA, B2M, and TBP genes. The normalization of a non-reference target gene (SOD1) by these reference genes was shown to be considerably different from normalization by less stable reference genes. Our results strengthen the importance of choosing good normalizing genes in order to analyze gene expression under specific experimental conditions and we suggest the use of these RGs in oocytes and cumulus cells of bovine cattle in in vitro matured COCs(AU)

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