Extraction of high-quality RNA from pancreatic tissues for gene expression studies

Extracting RNA from pancreatic tissue is notoriously challenging because of the organ's high RNase content. Standard methods using TriPure or TRIzol classically yield RNA of sufficient quality for routine gene expression analysis but not for microarray or deep sequencing analysis. Here we developed a simple method to extract high-quality RNA from mouse pancreas. Our method uses an RNase inhibitor and combines different protocols using guanidium thiocyanate–phenol extraction. It enables reproducible isolation of RNA with an RNA integrity number around 9.     

An improved method for isolation of RNA from rat femur

Background: RNA isolation from ossified bone is a difficult and time-consuming process which often results in poor recovery of RNA. The yield is limited and might not be suitable for gene quantification studies by real time PCR. Methodology: The present study demonstrates RNA extraction from rat femur utilizing the silica column along with the trizol reagent. Quality of RNA was assessed by agarose gel analysis and its suitability for real-time PCR analysis was determined by β-actin Ct values. Results: The RNA isolated using silica columns in conjugation with trizol reagent resulted in higher yield of RNA and purity (A260/280=2.04; yield =1545.73 µg/ml) compared to the trizol method alone (A260/280=1.85; yield =571.2 µg/ml). Ct value of β actin obtained from RNA isolated by trizol method was higher than the Ct value obtained by trizol in conjugation with the column method (31.41 and 15.41 respectively). Conclusion: Combination of trizol along with silica column resulted in better quality and improved yield of RNA suitable for gene quantification by Real time PCR.     

大鼠血管组织血管紧张素原基因表达的实时PCR定量分析

目的:探讨大鼠血管组织血管紧张素原(angiotensinogen,AGT)低丰度mRNA表达的实时PCR定量分析方法,并将其用于检测模拟失重大鼠基底和股动脉血管组织AGT mRNA的表达.方法:提取8周模拟失重(SUS)与对照组(CON)大鼠血管组织的总RNA,进行反转录后,对目的基因AGT与内参照基因GAPDH的mRNA进行实时PCR分析.应用TaqMan-MGB探针,测出上述mRNA实时PCR反应的放大效率(E)及阈循环数Ct,再依据一定数学模型由E与Ct得出经GAPDH归一化的AGT mRNA表达变化.结果:与CON相比,SUS大鼠基底动脉组织AGT mRNA表达增加240%,而股动脉组织则降低66%.结论:本工作为定量检测大鼠血管组织低丰度mRNA表达提示了一种特异、灵敏、精确、重复性好的简便方法.     

RNA在离体小鼠肝脏组织中的稳定性

采取肝脏等临床样本时,常因不能及时保存造成核酸降解,从而影响后续实验的进行.本研究旨在通过对室温条件下放置不同时间的小鼠肝脏组织的RNA的完整性进行评价,为肝脏临床样本的采集与保存提供依据.将离体小鼠肝脏组织在室温下放置0～180min后,提取总RNA,采用电泳、RT-PCR和芯片生物分析仪检测RNA的完整性.电泳结果显示,将小鼠肝脏置于室温180min后,RNA尚未发生降解.对β肌动蛋白,GAPDH和Trp53的RT-PCR的分析表明,室温下保存180min的RNA样品均未降解.生物分析仪检测的RNA完整性系数(RIN)都大于7.9,样品可用于后续研究.因此,离体后的小鼠肝脏置于室温下3h以内,RNA仍能保持其完整性.     

mRNA and microRNA quality control for RT-qPCR analysis

The importance of high quality sample material, i.e. non-degraded or fragmented RNA, for classical gene expression profiling is well documented. Hence, the analysis of RNA quality is a valuable tool in the preparation of methods like RT-qPCR and microarray analysis. For verification of RNA integrity, today the use of automated capillary electrophoresis is state of the art. Following the recently published MIQE guidelines, these pre-PCR evaluations have to be clearly documented in scientific publication to increase experimental transparency.RNA quality control may also be integrated in the routine analysis of new applications like the investigation of microRNA (miRNA) expression, as there is little known yet about factors compromising the miRNA analysis. Agilent Technologies is offering a new lab-on-chip application for the 2100 Bioanalyzer making it possible to quantify miRNA in absolute amounts [pg] and as a percentage of small RNA [%]. Recent results showed that this analysis method is strongly influenced by total RNA integrity. Ongoing RNA degradation is accompanied by the formation of small RNA fragments leading to an overestimation of miRNA amount on the chip. Total RNA integrity is known to affect the performance of RT-qPCR as well as the quantitative results in mRNA expression profiling. The actual study identified a comparable effect for miRNA gene expression profiling. Using a suitable normalization method could partly reduce the impairing effect of total RNA integrity.     

Universal external RNA controls for microbial gene expression analysis using microarray and qRT-PCR

Gene expression analysis provides significant insight to understand regulatory mechanisms of biology, yet acquisition and reproduction of quality data, as well as data confirmation and verification remain challenging due to a lack of proper quality controls across different assay platforms. We present a set of six universal external RNA quality controls for microbial mRNA expression analysis that can be applied to both DNA oligo microarray and real-time qRT-PCR including using SYBR Green and TaqMan probe-based chemistry. This set of controls was applied for Saccharomyces cerevisiae and Pseudomonas fluorescens Pf-5 microarray assays and qRT-PCR for yeast gene expression analysis. Highly fitted linear relationships between detected signal intensity and mRNA input were described. Valid mRNA detection range, from 10 to 7000 pg and from 100 fg to 1000 pg were defined for microarray and qRT-PCR assay, respectively. Quantitative estimation of mRNA abundance was tested using randomly selected yeast ORF including function unknown genes using the same source of samples by the two assay platforms. Estimates of mRNA abundance by the two methods were similar and highly correlated in an overlapping detection range from 10 to 1000 pg. The universal external RNA controls provide a means to compare microbial gene expression data derived from different experiments and different platforms for verification and confirmation. Such quality controls ensure reliability and reproducibility of gene expression data, and provide unbiased normalization reference for validation, quantification, and estimate of variation of gene expression experiments. Application of these controls also improves efficiency and facilitates high throughput applications of gene expression analysis using the qRT-PCR assay.     

Quality control parameters on a large dataset of regionally dissected human control brains for whole genome expression studies

We are building an open-access database of regional human brain expression designed to allow the genome-wide assessment of genetic variability on expression. Array and RNA sequencing technologies make assessment of genome-wide expression possible. Human brain tissue is a challenging source for this work because it can only be obtained several and variable hours post-mortem and after varying agonal states. These variables alter RNA integrity in a complex manner. In this report, we assess the effect of post-mortem delay, agonal state and age on gene expression, and the utility of pH and RNA integrity number as predictors of gene expression as measured on 1266 Affymetrix Exon Arrays. We assessed the accuracy of the array data using QuantiGene, as an independent non-PCR-based method. These quality control parameters will allow database users to assess data accuracy. We report that within the parameters of this study post-mortem delay, agonal state and age have little impact on array quality, array data are robust to variable RNA integrity, and brain pH has only a small effect on array performance. QuantiGene gave very similar expression profiles as array data. This study is the first step in our initiative to make human, regional brain expression freely available.     

Quantification of mRNA Levels by Fluorescently Labelled Reversde Transcription Competitive PCR

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CIRCexplorer3:A CLEAR Pipeline for Direct Comparison of Circular and Linear RNA Expression

Sequences of circular RNAs(circ RNAs) produced from back-splicing of exon(s) completely overlap with those from cognate linear RNAs transcribed from the same gene loci with the exception of their back-splicing junction(BSJ) sites.Therefore,examination of global circ RNA expression from RNA-seq datasets generally relies on the detection of RNA-seq fragments spanning BSJ sites,which is different from the quantification of linear RNA expression by normalized RNA-seq fragments mapped to whole gene bodies.Thus,direct comparison of circular and linear RNA expression from the same gene loci in a genome-wide manner has remained challenging.Here,we update the previously-reported CIRCexplorer pipeline to version 3 for circular and linear RNA expression analysis from ribosomal-RNA depleted RNA-seq(CIRCexplorer3-CLEAR).A new quantitation parameter,fragments per billion mapped bases(FPB),is applied to evaluate circular and linear RNA expression individually by fragments mapped to circ RNA-specific BSJ sites or to linear RNA-specific splicing junction(SJ) sites.Comparison of circular and linear RNA expression levels is directly achieved by dividing FPBcircby FPBlinearto generate a CIRCscore,which indicates the relative circ RNA expression level using linear RNA expression level as the background.Highlyexpressed circ RNAs with low cognate linear RNA expression background can be readily identified by CIRCexplorer3-CLEAR for further investigation.CIRCexplorer3-CLEAR is publically available at https://github.com/Yang Lab/CLEAR.     

基于DNA扣除法的Real-time RT-PCR对工程乳酸菌外源基因表达的绝对定量分析

本研究旨在利用Real-time RT-PCR对外源基因在工程乳酸菌中的表达进行定量分析,建立一种新的Real-time RT-PCR分析方法。采用玻璃珠热酚法提取工程乳酸菌总RNA,对外源目的基因的反转录(含有cDNA和DNA)样品和非反转录(仅含DNA)样品进行Real-time PCR检测,根据经典绝对定量方法并结合DNA扣除法进行分析,将得到的Ct值通过标准曲线换算为样品拷贝数,通过从反转录样品中扣除DNA样品的拷贝数的量,去除了DNA对实验结果的影响,得出最终的定量结果。采用以上方法分析工程乳酸乳球菌NZ9000中外源纤维素酶基因CBHⅡ的表达情况,对表达量较低的目的基因进行转录水平的分析,避免了RNA的损失,得到了外源基因表达的量为(1.28±0.02)×10-1 copies/cfu。这种基于DNA扣除法的Real-time RT-PCR绝对定量方法可以有效地对外源基因在工程乳酸菌中的表达进行分析。