岩白菜实时荧光定量PCR分析的内参基因的筛选

本研究为筛选在岩白菜中稳定表达的内参基因,以用于岩白菜实时荧光定量PCR研究,以岩白菜的幼叶、成熟叶、叶柄、根、一年生根状茎和二年生根状茎为材料,采用实时荧光定量PCR技术比较了GAPDH、18S rRNA、β-actin、TUA、UBQ5和TUB等6个候选内参基因的表达情况,并经Ge Norm、Norm Finder和Best Keeper等3种软件分析,分析表明6个候选内参基因在岩白菜不同器官中的表达情况存在差异,其中GAPDH和18S rRNA的表达都较为稳定,可作为岩白菜实时荧光定量PCR分析的内参基因。     

短小芽孢杆菌实时荧光定量PCR分析中内参基因的筛选

为了利用荧光定量PCR方法分析短小芽孢杆菌的基因表达水平,需要首先确定适合该菌株的荧光定量PCR分析内参基因。以短小芽孢杆菌的16S rRNA、mecA、cadR、rpoB及sphP共5个基因作为候选内参基因,利用实时荧光定量PCR的方法分析这5个候选基因在短小芽孢杆菌发酵培养不同时间点的表达情况,再用geNorm和NormFinder软件评估它们的表达稳定性。结果显示,利用geNorm软件分析得出16S rRNA和mecA是表达最稳定的基因,最适内参基因数为2。NormFindr软件分析得出mecA为最稳定的基因。对短小芽孢杆菌3个功能基因的差异表达分析结果表明,16S rRNA和mecA都是合适的内参基因,而mecA基因由于表达丰度适中,更适合于作为内参基因研究结构基因的表达。为了得到更准确的差异表达结果,也可用两个基因同时进行校正。     

基于转录组测序的马尔尼菲青霉菌实时荧光定量PCR内参基因筛选与鉴定

马尔尼菲青霉菌是一种温度依赖性双相型条件致病真菌,可感染免疫缺陷人群,区域流行于东南亚地和我国南方,但其双相转换和致病性分子机制尚不清楚。实时荧光定量PCR是马尔尼菲青霉菌双相转换和致病性分子机制研究的重要手段,但仍缺乏用于马尔尼菲青霉菌实时荧光定量PCR标准化分析理想的内参基因。本研究根据转录组测序数据筛选了四个表达最稳定的Pfp、Rp123、FacpA、DigA基因与传统的内参基因18Sr RNA、β-actin(Act1)、β-tubulin(Btu)作为候选内参基因,用Best Keeper和ge Norm软件进行基因表达稳定性分析。结果表明FacpA和DigA基因在马尔尼菲青霉菌双相转换过程中表达最为稳定,可作为用于马尔尼菲青霉菌实时荧光定量PCR标准化分析的内参基因。     

水稻虫害诱导相关基因实时定量PCR中内参基因的选择

实时定量PCR技术广泛应用于植物功能基因转录水平变化的研究, 选择合适的内参基因进行相对定量分析是实验结果准确的关键因素。通过分析5个常用的内参基因(eEF-1α、18S rRNA、25S rRNA、Actin和UBQ5)在水稻(Oryza sativa)经过各种处理后表达的稳定性, 结果表明, 水稻经过机械损伤处理后eEF-1α基因的表达最稳定; 二化螟处理后25S rRNA基因的表达最为稳定; 稻纵卷叶螟处理后Actin基因的表达最稳定; 两种刺吸式口器昆虫褐飞虱和白背飞虱危害后, UBQ5基因的表达最稳定。同时, 利用OsHI-LOX基因在不同处理后的表达来评价这些内参基因。研究结果为水稻虫害诱导实时定量PCR分析中内参基因的选择提供了理论依据。     

植物实时荧光定量PCR内参基因的特点及选择

实时荧光定量PCR(qRT-PCR)具有灵敏度高、特异性强、重复的动态定量范围和高通量等优点,是进行植物基因表达和转录分析最常用的技术手段之一.选择合适的内参基因是正确运用实时荧光定量PCR分析目标基因表达变化的前提.近年来,大量研究表明,内参基因的选择应取决于研究者的实验条件;随着实验条件的变化,内参基因的选择也随之变化.因此,实时荧光定量PCR结果分析的准确性在很大程度上依赖于所选择的内参基因是否适合.该文从内参基因的选择、常用内参基因的特点、新内参基因的挖掘、应用内参基因组合的优点和内参基因的稳定性评价等几方面进行综述,以期为研究者在实验中选择合适的内参基因提供参考和理论依据.     

茶树实时荧光定量PCR分析中内参基因的选择

选择合适的内参基因是提高实时荧光定量PCR分析（qRT-PCR）准确性的先决条件。该文以茶树（Camellia sinensis）芽、叶、幼根、嫩茎、花瓣、种子和愈伤组织为材料,应用实时荧光定量PCR技术,分析了18S rRNA、GAPDH、β-actin和α-tubulin4个常用内参基因在茶树不同器官组织中的表达情况。经GeNorm和NormFinder软件分析发现,当利用荧光定量PCR分析比较茶树不同器官组织中的基因表达差异时,可选择β-actin作为校正内参基因;而比较不同成熟度的叶片和愈伤组织时,可以选择GAPDH作为校正内参基因。     

茶树实时荧光定量PCR分析中内参基因的选择

选择合适的内参基因是提高实时荧光定量PCR分析(qRT-PCR)准确性的先决条件。该文以茶树(Camellia sinensis) 芽、叶、幼根、嫩茎、花瓣、种子和愈伤组织为材料, 应用实时荧光定量PCR技术, 分析了18S rRNA、GAPDH、β-actin和α-tubulin 4个常用内参基因在茶树不同器官组织中的表达情况。经GeNorm和NormFinder软件分析发现, 当利用荧光定量PCR分析比较茶树不同器官组织中的基因表达差异时, 可选择β-actin作为校正内参基因; 而比较不同成熟度的叶片和愈伤组织时, 可以选择GAPDH作为校正内参基因。     

藜科植物藜和灰绿藜实时荧光定量PCR内参基因的选择

选择合适的内参基因是实时荧光定量PCR(qRT-PCR)研究的关键,目前对藜科耐盐(盐生)植物胁迫相关基因的表达分析中所用内参基因的报道较为有限.该研究利用GeNorm、NormFinder和BestKeeper 3个内参基因分析软件,对已选择过的β-TUBULIN、β-ACTIN、GAPDH 3个常用候选内参基因进行了比较分析,筛选出在NaCl和PEG胁迫下藜和灰绿藜中表达相对稳定的内参基因.结果表明:GeNorm、NormFinder内参软件分析在NaCl和PEG胁迫下,GAPDH是藜和灰绿藜中均共同稳定表达的内参基因,同时在藜和灰绿藜中也有各自表达较稳定的内参基因,β-ACTIN在藜中稳定表达,β-TUBULIN则在灰绿藜中稳定表达.对相同科不同种的植物内参基因表达差异进行比较,内参基因在相同科中具有相同稳定表达的内参;对相同胁迫下两种不同植物内参基因表达稳定性进行分析,内参基因的选择需根据实际的实验材料和实验条件而定.基于3个分析软件对以上3个常用内参基因的分析结果,初步确定了在藜科植物藜和灰绿藜中相对稳定的内参基因,为藜和灰绿藜胁迫相关基因的定量表达分析提供了参考依据.     

实时荧光定量PCR分析蒙古韭低温诱导叶片中内参基因的选择

实时荧光定量PCR (real-time fluorescence quantitative PCR,qRT-PCR)是广泛应用于基因表达分析的实验技术。在基因表达分析过程中,选择稳定表达的内参基因对实验结果的准确性非常重要。以低温诱导24 h和72 h蒙古韭(Allium mongolicum)的叶片为材料,无处理0 h叶片为对照,使用荧光定量PCR法分析了Am5S-rRNA、AmActin、AmGAPDH和AmEF1-α4个看家基因的表达情况。通过ge Norm和NormFinder程序分析,发现AmGAPDH稳定性最好,Am5S-r RNA和AmActin次之,AmEF1-α稳定性最差,因此选择AmGAPDH作为蒙古韭基因表达分析的内参基因。本研究通过qRT-PCR方法分析稳定表达的内参基因,对后续蒙古韭低温诱导基因表达分析有重要的意义。     

内参基因在昆虫实时荧光定量PCR中的研究进展

作为一种高效的定量PCR技术,实时荧光定量PCR(qRT-PCR)因其灵敏度高、特异性强、定量准确等优点,已被广泛运用于昆虫基因表达和转录分析。然而,为了控制样本RNA在质量和逆转录效率上存在差异,必须筛选表达稳定的"看家基因"作为内参基因,对目的基因表达量进行校正和标准化。许多学者研究表明,昆虫种类和实验条件的不同,导致选择的内参基因也不尽相同。因此,本文综述了前人有关昆虫内参基因的研究及其稳定性评价,为其它昆虫内参基因的研究提供理论参考依据。     

Validation of reference genes for real-time quantitative PCR studies in gene expression levels of <Emphasis Type="Italic">Lactobacillus casei</Emphasis> Zhang

Lactobacillus casei Zhang, a potential probiotic strain isolated from homemade koumiss in Inner Mongolia of China, has been sequenced and deposited in GenBank. Real-time quantitative PCR is one of the most widely used methods to study related gene expression levels of Lactobacillus casei Zhang. For accurate and reliable gene expression analysis, normalization of gene expression data using one or more appropriate reference genes is essential. We used three statistical methods (geNorm, NormFinder, and BestKeeper) to evaluate the expression levels of five candidate reference genes (GAPD, gyrB, LDH, 16s rRNA, and recA) under different culture conditions and different growth phases to find a suitable housekeeping gene which can be used as internal standard. The results showed that the best reference gene was GAPD, and a set of two genes, GAPD and gyrB (which were the most stable reference genes), is recommended for normalization of real-time quantitative PCR experiments under all the different experimental conditions tested. The systematic validation of candidate reference genes is important for obtaining reliable analysis results of real-time quantitative PCR studies in gene expression levels of Lactobacillus casei Zhang.     

Toward Enhanced MIQE Compliance: Reference Residual Normalization of qPCR Gene Expression Data

Normalization of fluorescence-based quantitative real-time PCR (qPCR) data varies across quantitative gene expression studies, despite its integral role in accurate data quantification and interpretation. Identification of suitable reference genes plays an essential role in accurate qPCR normalization, as it ensures that uncorrected gene expression data reflect normalized data. The reference residual normalization (RRN) method presented here is a modified approach to conventional 2^−ΔΔCtqPCR normalization that increases mathematical transparency and incorporates statistical assessment of reference gene stability. RRN improves mathematical transparency through the use of sample-specific reference residuals (RR_i) that are generated from the mean C_t of one or more reference gene(s) that are unaffected by treatment. To determine stability of putative reference genes, RRN uses ANOVA to assess the effect of treatment on expression and subsequent equivalence-threshold testing to establish the minimum permitted resolution. Step-by-step instructions and comprehensive examples that demonstrate the influence of reference gene stability on target gene normalization and interpretation are provided. Through mathematical transparency and statistical rigor, RRN promotes compliance with Minimum Information for Quantitative Experiments and, in so doing, provides increased confidence in qPCR data analysis and interpretation.     

谷氨酸棒杆菌1dh基因的敲除

谷氨酸棒杆菌中ldh基因编码乳酸脱氢酶,可催化丙酮酸转化生成乳酸.利用重叠延伸PCR的方法,获得中间缺失部分序列的dldh基因片段,将其与载体pk 18mobsacB连接,转化大肠杆菌感受态,筛选出阳性转化子后,转化谷氨酸棒杆菌ATCC 13032感受态细胞.分别在卡那霉素抗性平板及10％蔗糖平板上进行两次筛选,利用PCR方法鉴定,成功获得ldh基因缺失的谷氨酸棒杆菌突变株ATCC 13032-(4)ldh.应用荧光定量PCR检测,ATCC 13032-(z)ldh中的ldh基因在转录水平与野生型菌株ATCC 13032相比,相对表达量为O.ldh基因的敲除对菌株的生长造成了一定的影响.     

Selection of reliable reference genes for qRT-PCR analysis in human non-cancerous gastric tissue

Real-time PCR (qRT-PCR) is the standard method for studying changes in relative gene expression in complex diseases like obesity and gastritis. However, variations in amount of starting material, enzymatic efficiency and presence of amplification inhibitors can lead to quantification errors. Hence, the need for accurate data normalization is vital. Among several known strategies for data normalization, the use of reference genes as an internal control is the most common approach. Human gastric tissue has been the least investigated for stability of reference gene expression. In this study, three popular algorithms, GeNorm, NormFinder and BestKeeper were used to evaluate the reference gene stability. Conclusion: HPRT1 and GAPDH are the best performing pair of reference genes for qRT-PCR profiling experiments involving non-malignant gastric tissue samples.     

Reference genes identified in the silkworm Bombyx mori during metamorphism based on oligonucleotide microarray and confirmed by qRT‐PCR

Gene expression quantification at mRNA level is very important for post‐genomic studies, as gene expression level is the reflection of the special biological function of the target gene. Methods used for gene expression quantification, such as microarray or quantitative real‐time polymerase chain reaction (qRT‐PCR), require stable expressed reference genes. Thus, finding suitable control genes is essential for gene quantification. In this study, a genome‐wide survey of reference genes during metamorphism was performed on silkworm Bombyx mori. Twelve genes were chosen as putative reference genes based on a whole genome oligonucleotide microarray normalized by external controls. Then, qRT‐PCR was employed for further validation and selection of potential reference gene candidates. The results were analyzed, and stable genes were selected using geNorm 3.4 and NormFinder software. Finally, considering factors from every aspect, translation initiation factor 4A, translation initiation factor 3 subunit 4, and translation initiation factor 3 subunit 5 (represented by sw22934, swl4876, and swl3956) were selected as reliable internal controls across the examined developmental stages, while cytoplasmic actin (sw22671), the commonly used reference gene in a previous study was shown to vary drastically throughout the examined developmental stages. For future research, we recommend the use of the geometric mean of those three stable reference genes as an accurate normalization factor for data normalization of different developmental stages during metamorphism.