Validation of Zebrafish （Danio redo） Reference Genes for Quantitative Real-time RT-PCR Normalization

The normalization of quantitative real time RT-PCR （qRT-PCR） is important to obtain accurate gene expression data. The most common method for qRT-PCR normalization is to use reference, or housekeeping genes. However, there is emerging evidence that even reference genes can be regulated under different conditions, qRT-PCR has only recently been used in terms of zebrafish gene expression studies and there is no validated set of reference genes. This study characterizes the expression of nine possible reference genes during zebrafish embryonic development and in a zebrafish tissue panel. All nine reference genes exhibited variable expression. The fl-actin, EFlot and Rpll3ot genes comprise a validated reference gene panel for zebrafish developmental time course studies, and the EF1 or, Rpll3α and 18S rRNA genes are more suitable as a reference gene panel for zebrafish tissue analysis. Importantly, the zebrafish GAPDH gene appears unsuitable as reference gene for both types of studies.     

Exogenous reference RNA for normalization of real-time quantitative PCR

We have utilized an in vitro transcribed 3' mRNA fragment of the plant gene ribulose bisphosphate carboxylase (RuBisCO) as an exogenous standard for normalization of quantitative PCR data. Both K562 cells and primary erythroid CD34+ progenitor cells were treated with sodium butyrate and changes in gamma-globin mRNA levels were assayed using a previously published TaqMan probe and primer set, while RuBisCO levels were assayed by a SYBR Green detection assay. The data presented show that a correction to measured gamma-globin induction was necessary with both cell types. The correction for the CD34+ progenitor cells was a striking 95% increase, while that for the K562 cells was 44%. The use of an exogenous reference such as in vitro transcribed mRNA for the RuBisCO plant gene provides a robust and sample-independent method for the normalization of quantitative PCR data in bacterial and animal cells.     

How to choose a mentor

Mentors will play important roles in the careers of most successful scientists. Mentors are trusted advisors that give constructive criticism and provide information in many areas of a scientific life. Mentors will likely change throughout your career as your position changes and thus the areas of advice needed changes. Despite the fact that you gain new mentors, the relationships with the old mentors likely will continue and often grow into strong friendships. The American Physiological Society is a member of MentorNet, which is an award-winning, free, one-on-one electronic mentoring program for graduate students, postdoctoral fellows, and early career scientists who are APS members. Mentees and mentors are matched based on their responses to several questionnaires regarding research interests, mentoring needs, time needed, etc. Once assigned, mentors and mentees are allowed to approve their matches, and once done, contact information is given to each pair. A new mentor can be assigned every eight months. These electronic mentoring relationships are especially helpful if you are not comfortable discussing certain things with your thesis or postdoctoral advisor. APS encourages all members to participate either as a mentee or mentor in this valuable program. To comment on this article, go to http://www.the-aps.org/careers/ careers 1/mentor/mentoring.htm.     

Measurement of belowground diversity of fine roots in subtropical forests based on a quantitative real-time PCR (qPCR) method

Plant and Soil - Understanding the magnitude of phenotypic plasticity within a species is important, particularly when comparing species from diverse habitats or when using traits from global...     

RNA-Seq is not required to determine stable reference genes for qPCR normalization

Assessment of differential gene expression by qPCR is heavily influenced by the choice of reference genes. Although numerous statistical approaches have been proposed to determine the best reference genes, they can give rise to conflicting results depending on experimental conditions. Hence, recent studies propose the use of RNA-Seq to identify stable genes followed by the application of different statistical approaches to determine the best set of reference genes for qPCR data normalization. In this study, however, we demonstrate that the statistical approach to determine the best reference genes from commonly used conventional candidates is more important than the preselection of ‘stable’ candidates from RNA-Seq data. Using a qPCR data normalization workflow that we have previously established; we show that qPCR data normalization using conventional reference genes render the same results as stable reference genes selected from RNA-Seq data. We validated these observations in two distinct cross-sectional experimental conditions involving human iPSC derived microglial cells and mouse sciatic nerves. These results taken together show that given a robust statistical approach for reference gene selection, stable genes selected from RNA-Seq data do not offer any significant advantage over commonly used reference genes for normalizing qPCR assays.     

黄芩苷铝胁迫下产肠毒素大肠杆菌内参基因的筛选

[背景]产肠毒素大肠杆菌(Enterotoxigenic Escherichia coli,ETEC)是导致仔猪腹泻的主要致病菌之一,黄芩苷铝对ETEC诱导的仔猪腹泻具有良好的治疗效果,但作用机制尚不明了.[目的]筛选出黄芩苷铝胁迫下ETEC中表达水平最为稳定的内参基因.[方法]采用qPCR技术测定了 12个内参基因 ...     

Identification of endogenous microRNA references in porcine serum for quantitative real-time PCR normalization

MicroRNAs (miRNAs) are evolutionarily conserved small non-coding RNAs that regulate the expression of genes, and they affect important biological and physiological states. Circulating miRNAs in blood are useful markers of metabolism and economic traits. Expression levels of circulating miRNAs have been estimated using quantitative real-time PCR (qPCR). Proper normalization is critical for accurate miRNA expression analysis. However, there is no study which systematically presented endogenous reference genes for evaluating circulating miRNA expression in pigs. In this study, ten porcine miRNAs (let-7a, miR-16, miR-17, miR-23a, miR-26a, miR-93, miR-103, miR-107, miR-127 and miR-191), based on the literature, were chosen as candidate reference miRNAs in serum. We evaluated the expression stability value of these miRNAs in Berkshire, Duroc, Landrace and Yorkshire pigs using geNorm and NormFinder. We determined the optimal combination of reference miRNAs for qPCR experiments: miR-127 and miR-17 in Berkshire pigs; miR-127 and miR-93 in Duroc and Landrace pigs; miR-127 and miR-16 in Yorkshire pigs. miR-127 was the best reference gene in pigs, regardless of the breed. Our study is crucial for the discovery of novel biomarkers in pigs. The reference miRNAs presented in this study could be used as appropriate reference genes for the measurement of circulating miRNA levels in studies of physiological blood metabolites.

     

Stable reference gene selection for quantitative real-time PCR normalization in passion fruit (Passiflora edulis Sims.)

Molecular Biology Reports - Passiflora edulis is a tropical fruit with high nutrient and medicinal values that is widely planted in southern China. However, the molecular biology of P. edulis has...     

Rapid detection of Down's syndrome using quantitative real-time PCR (qPCR) targeting segmental duplications on chromosomes 21 and 11

Objective

Development of a qPCR test for the detection of trisomy 21 using segmental duplications.

Methods

Segmental duplications in the TTC3 gene on chromosome 21 and the KDM2A gene on chromosome 11 were selected as molecular markers for the diagnostic qPCR assay. A set of consensus primers selected from the conserved regions of these segmental duplications were used to amplify internal diverse sequences that were detected and quantified with different probes labeled with distinct fluorescence. The copy numbers of these two fragments were determined based on the ΔCq values of qPCR. The results of qPCR for prenatal and neonatal screening of Down's syndrome were compared with the conventional karyotype analysis by testing 82 normal individuals and 50 subjects with Down's syndrome.

Results

The ΔCq values of segmental duplications on chr21 and 11 ranged between 0.33 and 0.75 in normal individuals, and between 0.91 and 1.18 in subjects with Down's syndrome. The ΔCq values of these two segmental duplications clearly discriminated Down's syndrome from normal individuals (P < 0.001). Furthermore, the qPCR results were consistent with karyotype analysis.

Conclusion

Our qPCR can be used for rapid prenatal and neonatal screening of Down's syndrome.     

Gene expression normalization in a dual-compartment system: a real-time quantitative polymerase chain reaction protocol for symbiotic anthozoans

Traditional real-time quantitative polymerase chain reaction protocols cannot be used accurately with symbiotic organisms unless the relative contribution of each symbiotic compartment to the total nucleic acid pool is known. A modified 'universal reference gene' protocol was created for reef-building corals and sea anemones, anthozoans that harbour endosymbiotic dinoflagellates belonging to the genus Symbiodinium. Gene expression values are first normalized to an RNA spike and then to a symbiont molecular proxy that represents the number of Symbiodinium cells extracted and present in the RNA. The latter is quantified using the number of genome copies of heat shock protein-70 (HSP70) amplified in the real-time quantitative polymerase chain reaction. Gene expression values are then normalized to the total concentration of RNA to account for differences in the amount of live tissue extracted among experimental treatments and replicates. The molecular quantification of symbiont cells and effect of increasing symbiont contributions to the nucleic acid pool on gene expression were tested in vivo using differentially infected sea anemones Aiptasia pulchella. This protocol has broad application to researchers who seek to measure gene expression in mixed organism assemblages.     

Reference gene selection for quantitative real-time PCR normalization: Application in the caprine mammary gland

In dairy animals, gene expression analysis has become increasing key to understand the biological processes occurring in mammary gland development that shape future milk potential. Selecting high-stability reference genes is crucial to interpret real-time qPCR data. This study investigated the expression stability of five top-ranked candidate reference genes in the goat mammary gland through three assays comparing different experimental conditions (physiological states, sample types and experimental treatments). The expression stability of genes including β-actin, glyceraldehyde-3-phosphate dehydrogenase, 18S rRNA, cyclophilin A and ribosomal protein large P0 was analyzed. Normalization for each experimental condition expression data revealed a different reference gene. Nevertheless, in our various assays, genes encoding for ribosomal proteins, 18S rRNA and RPLP0 presented the best expression stability. This result has been confirmed using a combined analysis of stability on the three assays. All genes showed the same distribution within and among the three assays and a different distribution between Ct variability and GeNorm normalization. In addition, the application on Catenin B1 expression using an inappropriate reference gene confirmed erroneous variations in interpretation. To conclude, there is no single ideal reference gene for caprine mammary gland studies and we recommend using a panel of top-ranked reference genes, including RPLP0, at the beginning of each experiment to validate the most stable(s) gene(s).