Identifying suitable reference genes for developing and injured mouse CNS tissues

Accurate quantification of gene expression is fundamental for understanding the molecular, genetic and functional bases of tissue development and diseases. Quantitative real‐time PCR (qPCR) is now the most widely used method of quantifying gene expression due to its simplicity, specificity, sensitivity, and wide quantification range. The use of appropriate reference genes to ensure accurate normalization is crucial for the correct quantification of gene expression from the early development, maturation, aging to injury processes in the central nervous system (CNS). In this study, we have determined the expression profiles of 12 candidate housekeeping genes (ACTB, CYC1, HMBS, GAPDH, HPRT1, RPL13A, YWHAZ, PPIA, RPLP0, TFRC, GUS, and 18S rRNA) in developing mouse brain and spinal cord. Throughout development, there was a significant degree of fluctuations in their expression levels, indicating the importance and complexity of finding appropriate reference genes. Three software including BestKeeper, geNorm and NormFinder were used to evaluate the stability of potential reference genes. GUS was the most stable gene and GUS/YWHAZ were the most stable reference gene pair across different developmental stages in different CNS regions, whereas HPRT1 and GAPDH were the most variable genes and thus inappropriate to use as reference genes. Therefore, our results identified GUS and YWHAZ as the best combination of two reference genes for expression data normalization in CNS developmental studies. © 2017 Wiley Periodicals, Inc. Develop Neurobiol 78: 39–50, 2018     

山羊不同组织器官的内参基因筛选

本研究通过比较9个内参基因在山羊不同组织中的表达水平进而确定最适合研究山羊组织表达的内参基因。本试验以简州大耳羊为试验材料,利用实时荧光定量PCR技术分析9个内参基因(GAPDH,PPIA,18S rRNA,PPIB,UXT,RPLP0,ACTB,EIF3K和TBP)在心脏、肝脏、脾脏、肺脏、肾脏、大肠、瘤胃、背最长肌和皮下脂肪等组织中的表达差异情况,并利用geNorm、NormFinder和BestKeeper等程序分析了它们的表达稳定性。geNorm和NormFinder程序一致显示TBP表达最稳定,其次是UXT和RPLP0;BestKeeper分析显示18S rRNA表达最为稳定,其次为TBP和ACTB;3个程序一致认为GAPDH表达稳定性最差。综合3个程序分析得出TBP最适合作为山羊组织中的内参基因,其次为UXT和RPLP0,GAPDH表达稳定性最差,不适合作为山羊组织内参,这为后续研究其他目的基因在山羊组织器官中的表达模式提供数据保障。     

Normalizing genes for real-time polymerase chain reaction in epithelial and nonepithelial cells of mouse small intestine

Gene expression studies in intestinal epithelial and stromal cells are a common tool for investigating the mechanisms by which the homeostasis of the small intestine is regulated under normal and pathological conditions. Quantitative real-time PCR (qPCR) is a sensitive and highly reproducible method of gene expression analysis, with expression levels quantified by normalization against reference genes in most cases. However, the lack of suitable reference genes for epithelial cells with different differentiation states and nonepithelial tissue cells has limited the application of qPCR in gene expression studies of small intestinal samples. In this study, 13 housekeeping genes, ACTB, B2M, GAPDH, GUSB, HPRT1, HMBS, HSP90AB1, RPL13A, RPS29, RPLP0,PPIA, TBP, and TUBA1, were analyzed to determine their applicability for isolated crypt cells, villus cells, deepithelialized mucosa, and whole mucosa of the mouse small intestine. Using geNorm and NormFinder software, GUSB and TBP were identified as the most stably expressed genes, whereas the expressions of the commonly used reference genes GAPDH, B2M, and ACTB, and ribosomal protein genes RPL13A, RPS29, and RPLP0 were relatively unstable. Thus, this study demonstrates that GUSB and TBP are the optimal reference genes for the normalization of gene expression in the mouse small intestine.     

Reference Gene Selection for Real-Time Quantitative PCR Analysis of the Mouse Uterus in the Peri-Implantation Period

The study of uterine gene expression patterns is valuable for understanding the biological and molecular mechanisms that occur during embryo implantation. Real-time quantitative RT-PCR (qRT-PCR) is an extremely sensitive technique that allows for the precise quantification of mRNA abundance; however, selecting stable reference genes suitable for the normalization of qRT-PCR data is required to avoid the misinterpretation of experimental results and erroneous analyses. This study employs several mouse models, including an early pregnancy, a pseudopregnancy, a delayed implantation and activation, an artificial decidualization and a hormonal treatment model; ten candidate reference genes (PPIA, RPLP0, HPRT1, GAPDH, ACTB, TBP, B2M, 18S, UBC and TUBA) that are found in uterine tissues were assessed for their suitability as internal controls for relative qRT-PCR quantification. GeNorm^PLUS, NormFinder, and BestKeeper were used to evaluate these candidate reference genes, and all of these methods identified RPLP0 and GAPDH as the most stable candidates and B2M and 18S as the least stable candidates. However, when the different models were analyzed separately, the reference genes exhibited some variation in their expression levels.     

The Use of Laser Microdissection in the Identification of Suitable Reference Genes for Normalization of Quantitative Real-Time PCR in Human FFPE Epithelial Ovarian Tissue Samples

Quantitative real-time PCR (qPCR) is a powerful and reproducible method of gene expression analysis in which expression levels are quantified by normalization against reference genes. Therefore, to investigate the potential biomarkers and therapeutic targets for epithelial ovarian cancer by qPCR, it is critical to identify stable reference genes. In this study, twelve housekeeping genes (ACTB, GAPDH, 18S rRNA, GUSB, PPIA, PBGD, PUM1, TBP, HRPT1, RPLP0, RPL13A, and B2M) were analyzed in 50 ovarian samples from normal, benign, borderline, and malignant tissues. For reliable results, laser microdissection (LMD), an effective technique used to prepare homogeneous starting material, was utilized to precisely excise target tissues or cells. One-way analysis of variance (ANOVA) and nonparametric (Kruskal-Wallis) tests were used to compare the expression differences. NormFinder and geNorm software were employed to further validate the suitability and stability of the candidate genes. Results showed that epithelial cells occupied a small percentage of the normal ovary indeed. The expression of ACTB, PPIA, RPL13A, RPLP0, and TBP were stable independent of the disease progression. In addition, NormFinder and geNorm identified the most stable combination (ACTB, PPIA, RPLP0, and TBP) and the relatively unstable reference gene GAPDH from the twelve commonly used housekeeping genes. Our results highlight the use of homogeneous ovarian tissues and multiple-reference normalization strategy, e.g. the combination of ACTB, PPIA, RPLP0, and TBP, for qPCR in epithelial ovarian tissues, whereas GAPDH, the most commonly used reference gene, is not recommended, especially as a single reference gene.     

小鼠基因转录表达分析中内参基因的优选

目的 建立小鼠基因转录表达分析中内参基因的选择方法.方法 以C57BL/6J和C3H/HeJ两个品系3个不同组织及2个不同发育阶段为研究对象,应用反转录实时定量PCR技术,评价GAPDH(glyceraldehyde-3-phosphate dehydrogenase)、HPRTl(hypoxanthine phosphoribosyl transferase)、B2M(β2-microglobulin)、PPIA(peptidylprolyl isomerase A)、ACTB(Actin-beta)和18S rRNA(18S ribosomal RNA)等6个看家基因在下丘脑、垂体与卵巢中mRNA水平的表达稳定性.结果 GeNorm统计分析表明,GAPDH和HPRT1表达最为稳定,PPIA等次之,B2M在不同组织和发育阶段中都几乎无表达.结论 成功筛选到GAPDH和HPRT1两个稳定表达的看家基因,证实了小鼠基因表达转录分析中内参基因选择的必要性和可行性.     

Selection of optimal reference genes for quantitative RT-PCR studies of boar spermatozoa cryopreservation

Reference genes can be used to normalize mRNA levels across different samples for the exact comparison of the mRNA expression level. It is important to select reference genes with high quality for the accurate interpretation of qRT-PCR data. Although several studies have attempted to validate reference genes in pigs, no validation studies have been performed on spermatozoa samples frozen with different cryoprotectants. In this study, 11 commonly used reference genes (ACTB, B2M, GAPDH, HPRT1, RPL4, SDHA, YWHAZ, PPIA, PGK1, S18, and BLM) were investigated in boar spermatozoa frozen with six different cryoprotectants using qRT-PCR. The expression stability of these reference genes in different samples was evaluated using geNorm (qbase^plus software), NormFinder, and BestKeeper. The geNorm results revealed that PGK1, ACTB, and RPL4 exhibit high expression stability in all of the samples, and the NormFinder results indicated that GAPDH is the most stable gene. Furthermore, the BestKeeper results indicated that the three most stable genes are PPIA, GAPDH, and RPL4 and that S18, B2M and BLM are the three least stable genes. There are a number of differences in the ranking order of the reference genes obtained using the different algorithms. In conclusion, GAPDH, RPL4, and PPIA were the three most stable genes in frozen boar spermatozoa, as determined based on the cycle threshold coefficient of variation (Ct CV%) and the comprehensive ranking order, and this finding is consistent with the BestKeeper results     

Effects of dimethyl sulfoxide and dexamethasone on mRNA expression of housekeeping genes in cultures of C2C12 myotubes

We used quantitative real-time RT-PCR to investigate the effects of dimethyl sulfoxide (DMSO) and dexamethasone (Dex) on the mRNA expression levels of the housekeeping genes β-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-glucuronidase (GUSB), hypoxanthine phosphoribosyltransferase 1 (HPRT1), phosphoglycerate kinase 1 (PGK1), peptidylprolyl isomerase A (PPIA), and transferrin receptor (TFRC) in cultures of C2C12 myotubes. The ratios of ACTB mRNA levels to the HPRT1 mRNA level in C2C12 cells that were differentiating from myoblast cells to myotubes decreased from 0 to 120 h of culture, whereas the ratios of TFRC mRNA levels to the HPRT1 mRNA level increased from 0 to 120 h of culture. The ratios of GAPDH, GUSB, PGK1, and PPIA mRNA levels to the HPRT1 mRNA level remained constant from 0 to 120 h of culture. All housekeeping gene mRNA levels were unaffected by exposure to DMSO concentrations of 0.1% or less. The GAPDH mRNA level was increased by Dex, while the ACTB and PGK1 mRNA levels were significantly decreased by Dex. The GUSB, PPIA, and TFRC mRNA levels were unaffected by exposure to Dex. GUSB, HPRT1, and PPIA are thus suitable internal controls for evaluating mRNA expression levels in cultures of C2C12 cells.     

Effects of prototypical drug-metabolizing enzyme inducers on mRNA expression of housekeeping genes in primary cultures of human and rat hepatocytes

Quantitative real-time RT-PCR was used to investigate the effects of prototypical drug-metabolizing enzyme inducers rifampicin (Rif), dexamethasone (Dex), and omeprazole (Ome) on mRNA expression levels of the housekeeping genes beta-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-glucuronidase (GUSB), hypoxanthine phosphoribosyltransferase 1 (HPRT1), peptidylprolylisomerase A (PPIA), TATA box binding protein (TBP), and transferrin receptor (TFRC) in primary cultures of cryopreserved human and rat hepatocytes. The mRNA levels of ACTB, GAPDH, GUSB, PPIA, TBP, and TFRC relative to HPRT1 in human hepatocytes were constant at all concentrations of inducers. However, the mRNA level of GAPDH relative to HPRT1 in rat hepatocytes was markedly increased by Rif. The mRNA levels of GAPDH, GUSB, PPIA, TBP, and TFRC relative to HPRT1 in rat hepatocytes were significantly increased by Dex. ACTB and HPRT1 are suitable internal controls for evaluating mRNA expression levels in primary cultures of human and rat hepatocytes after Rif, Dex, or Ome exposure.     

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.     

Validation of reference genes of grass carp Ctenopharyngodon idellus for the normalization of quantitative real-time PCR

Expression of four reference genes of grass carp, including β-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), 18S rRNA (18S) and elongation factor-1 alpha (EF1α), was studied in tissues of normal individuals and bacteria-infected individuals. EF1α had the most stable expressions followed by 18S rRNA then GAPDH; ACTB had the least stability. After being infected with bacteria, the grass carp showed minimal changes in expression levels of EF1α in the liver and head kidney, while ACTB had the most stable expressions in spleen but the least stable in liver. EF1α is thus the optimal reference gene in quantitative real-time PCR analysis to quantitate the expression levels of target genes in tissues of grass carp.     

Selection of valid reference genes for expression studies of hepatic cell lines under IFN-α treatment

The proper selection of reference genes to normalize the quantitative real-time PCR (RT-qPCR) results under particular experimental conditions is crucial for validation of the gene quantification data. Herein, using SYBR green RT-qPCR, five reference genes (GAPDH, ACTB, HMBS, HPRT-1 and TBP) were evaluated to determine the most stable reference genes in hepatic cell lines (Huh-7 and HepG₂) under IFN-α treatment conditions. Analyses by geNorm program ranked GAPDH and HPRT-1 in Huh-7 and that of ACTB and HMBS in HepG₂ cells as the most stable reference genes under IFN-α treatment. While, same reference gene pairs were ranked by NormFinder program in Huh-7 cells, GAPDH was assessed as the most stable gene in HepG₂ group by this program, implying the importance of the employed algorithm in comparative interpretation of the data. Finally, cumulative analyses by one-way ANOVA, geNorm and NormFinder programs indicated that use of two reference genes (HMBS and GAPDH) in Huh-7 and three (HMBS, ACTB and GAPDH) in HepG₂ cells would greatly improve the normalization of the RT-qPCR data under IFN-α. Data presented in this paper will aid the selection of the most stable reference genes in RT-qPCR studies on evaluation of hepatic viral proteins and IFN pathway.