Validation of housekeeping genes for gene expression studies in an ice alga <Emphasis Type="Italic">Chlamydomonas</Emphasis> during freezing acclimation

Antarctic ice alga Chlamydomonas sp. ICE-L can endure extreme low temperature and high salinity stress under freezing conditions. To elucidate the molecular acclimation mechanisms using gene expression analysis, the expression stabilities of ten housekeeping genes of Chlamydomonas sp. ICE-L during freezing stress were analyzed. Some discrepancies were detected in the ranking of the candidate reference genes between geNorm and NormFinder programs, but there was substantial agreement between the groups of genes with the most and the least stable expression. RPL19 was ranked as the best candidate reference genes. Pairwise variation (V) analysis indicated the combination of two reference genes was sufficient for qRT-PCR data normalization under the experimental conditions. Considering the co-regulation between RPL19 and RPL32 (the most stable gene pairs given by geNorm program), we propose that the mean data rendered by RPL19 and GAPDH (the most stable gene pairs given by NormFinder program) be used to normalize gene expression values in Chlamydomonas sp. ICE-L more accurately. The example of FAD3 gene expression calculation demonstrated the importance of selecting an appropriate category and number of reference genes to achieve an accurate and reliable normalization of gene expression during freeze acclimation in Chlamydomonas sp. ICE-L.     

Selection of Suitable Reference Genes for Quantitative Real-Time PCR in Apoptosis-Induced MCF-7 Breast Cancer Cells

Apoptosis is induced in MCF-7 breast cancer cells following treatment with salicylic acid (20 mM), either in the presence or absence of a heat shock (42°C for 30 min). In order to study the alterations of apoptotic genes with quantitative real-time PCR (qPCR), suitable genes with unchanged expression following the treatments is required for normalizing the gene expression levels. In this study, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-actin (ACTB), Histone H2A (HIST), constitutively expressed heat shock protein 70 (HSC70) and tyrosine 3-monooxygenase/trytophan 5 monooxygenase activation protein, 14-3-3 (YWHAZ) were evaluated as appropriate reference genes. Analysis of gene expression data with one-way ANOVA, geNorm and NormFinder identified HIST and YWHAZ as the least affected during the induction of apoptosis by the different treatments, and is the most suitable gene-pair for normalization during qPCR analysis in MCF-7 breast cancer cells undergoing apoptosis following treatment with SA and/or HS.     

光裸星虫(Sipunculus nudus)不同发育时期卵细胞内参基因的筛选

内参基因的选择对功能基因表达量的归一化处理尤为重要。为了筛选出光裸星虫不同发育时期卵子的最适内参基因,利用qRT-PCR测定了甘油醛-3-磷酸脱氢酶(GAPDH)、肽基脯氨酰顺反异构酶A(PPIA)、60S核糖体蛋白L10(60S-L10)、铁蛋白(Ferritin)、β-肌动蛋白(β-actin)、泛素C(UBC)、真核生物翻译起始因子(eIF)、NADH脱氢酶(NDH)、28S核糖体RNA(28S)、TATA盒结合蛋白(TBP)、18S核糖体RNA(18S)和琥珀酸脱氢酶A亚基(SDHA)共12个候选内参基因的表达水平,并通过4个程序(geNorm,NormFinder,BestKeeper以及RefFinder)综合分析了各基因的表达稳定性。结果显示:(1)12个候选内参基因均能获得特异性扩增产物,但表达情况各异;(2)对候选内参基因进行综合打分,得到候选内参基因稳定性排名为18S>GAPDH>28S>β-actin>UBC>e IF>NDH|TBP>PPIA|Ferritin>60S-L10>SDHA。18S和GAPDH稳定性较好,可作为不同发育时期卵细胞基因表达研究的单内参基因,或最优组合内参基因。     

实时定量PCR评估金针菇的内参基因稳定性

金针菇在中国和日本是最受人喜爱的食用菌之一,在重要栽培食用菌中产销量排名第四。近年来,已在活性物质、分子标记及基因鉴定方面开展了大量工作,但未见有金针菇内参基因稳定性研究的报道,导致金针菇基因表达研究无内源参考基因稳定性数据作为参考。本研究采用geNorm、NormFinder、BestKeeper和RefFinder 4种软件评估18S核糖体RNA（18S）、28S核糖体RNA（28S）、60S核糖体蛋白L18（Rpl18）、肌动蛋白1（Act1）、3-磷酸甘油醛脱氢酶（Gapdh）、翻译延伸因子EF1-alpha（Ef1A）、DNA指导的RNA聚合酶亚基2（Rpb2）、细胞色素C氧化酶亚基1（Cox1）及细胞色素b（CytB）等9个内参基因的稳定性。综合分析结果显示,单个基因中Act1基因最稳定,CytB表达稳定性最差,但单个候选内参基因的稳定性不能够满足定量PCR实验要求;根据geNorm软件分析结果,CytB和Rpb2是金针菇定量PCR的稳定内参基因组合。本研究首次评估了金针菇的内参基因稳定性,将为后续的基因表达研究提供参考。     

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     

Normalisation of real-time RT-PCR gene expression measurements in <Emphasis Type="Italic">Arabidopsis </Emphasis><Emphasis Type="Italic">thaliana</Emphasis> exposed to increased metal concentrations

Accurate quantification by real-time RT-PCR relies on normalisation of the measured gene expression data. Normalisation with multiple reference genes is becoming the standard, but the best reference genes for gene expression studies within one organism may depend on the applied treatments or the organs and tissues studied. Ideally, reference genes should be evaluated in all experimental systems. A number of candidate reference genes for Arabidopsis have been proposed, which can be used as a starting point to evaluate their expression stability in individual experimental systems by available computer algorithms like geNorm and NormFinder. Using this approach, we identified the best three reference genes from a set of ten candidates, which included three traditional “housekeeping” genes, for normalisation of gene expression when roots and leaves of Arabidopsis thaliana are exposed to cadmium (Cd) and copper (Cu). The expression stabilities of AT5G15710 (F-box protein), AT2G28390 (SAND family protein) and AT5G08290 (mitosis protein YLS8) were the highest when considering the effect to the roots and shoots of Cd and Cu treatments. Even though the effect of Cd and excess Cu on the plants is very different, the same best reference genes were identified when considering Cd or Cu treatments separately. This suggests that these three genes may also be suitable when studying the gene expression after exposure of Arabidopsis thaliana to increased concentrations of other metals. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Identification and Validation of Housekeeping Genes for Gene Expression Analysis of Cancer Stem Cells

The characterization of cancer stem cell (CSC) subpopulation, through the comparison of the gene expression signature in respect to the native cancer cells, is particularly important for the identification of novel and more effective anticancer strategies. However, CSC have peculiar characteristics in terms of adhesion, growth, and metabolism that possibly implies a different modulation of the expression of the most commonly used housekeeping genes (HKG), like b-actin (ACTB). Although it is crucial to identify which are the most stable HKG genes to normalize the data derived from quantitative Real-Time PCR analysis to obtain robust and consistent results, an exhaustive validation of reference genes in CSC is still missing. Here, we isolated CSC spheres from different musculoskeletal sarcomas and carcinomas as a model to investigate on the stability of the mRNA expression of 15 commonly used HKG, in respect to the native cells. The selected genes were analysed for the variation coefficient and compared using the popular algorithms NormFinder and geNorm to evaluate stability ranking. As a result, we found that: 1) Tata Binding Protein (TBP), Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta polypeptide (YWHAZ), Peptidylprolyl isomerase A (PPIA), and Hydroxymethylbilane synthase (HMBS) are the most stable HKG for the comparison between CSC and native cells; 2) at least four reference genes should be considered for robust results; 3) the use of ACTB should not be recommended, 4) specific HKG should be considered for studies that are focused only on a specific tumor type, like sarcoma or carcinoma. Our results should be taken in consideration for all the studies of gene expression analysis of CSC, and will substantially contribute for future investigations aimed to identify novel anticancer therapy based on CSC targeting.     

Verification of suitable and reliable reference genes for quantitative real-time PCR during adipogenic differentiation in porcine intramuscular stromal-vascular cells

Intramuscular fat (IMF) is an important trait influencing meat quality, and intramuscular stromal-vascular cell (MSVC) differentiation is a key factor affecting IMF deposition. Quantitative real-time PCR (qPCR) is often used to screen the differentially expressed genes during differentiation of MSVCs, where proper reference genes are essential. In this study, we assessed 31 of previously reported reference genes for their expression suitability in porcine MSVCs derived form longissimus dorsi with qPCR. The expression stability of these genes was evaluated using NormFinder, geNorm and BestKeeper algorithms. NormFinder and geNorm uncovered ACTB, ALDOA and RPS18 as the most three stable genes. BestKeeper identified RPL13A, SSU72 and DAK as the most three stable genes. GAPDH was found to be the least stable gene by all of the three software packages, indicating it is not an appropriate reference gene in qPCR assay. These results might be helpful for further studies in pigs that explore the molecular mechanism underlying IMF deposition.     

Selection of reference genes for normalization of qRT-PCR analysis of differentially expressed genes in soybean exposed to cadmium

Accurate normalization of gene expression with qRT-PCR depends on the use of appropriate reference genes (RGs) for the species under a given set of experimental conditions. Multiple RGs for gene expression analysis of soybean exposed to heavy metal stress treatment have not been reported in the literature. In this study, we evaluated the expression stability of ten candidate RGs in leaves, roots and stems of two soybean cultivars exposed to cadmium (Cd). Based on the geNorm and NormFinder analysis, ACT3, PP2A, ELF1B and F-box were the most stable RGs in these gene expression studies. In contrast, G6PD, UBC2, TUB, and ELF1A were the most variable ones and should not be used as RGs in these experimental conditions.     

小鼠骨骼肌纤维类型定量PCR内参基因的筛选

旨在筛选定量PCR检测不同骨骼肌纤维类型的稳定内参基因,为骨骼肌的能量和糖代谢等功能研究提供基础数据。试验选用6周龄小鼠,采集腓肠肌(Gastrocnemius muscle,GAS)、比目鱼肌(Soleus,SOL)、胫骨前肌(Tibialis anterior muscle,TA)和趾长伸肌(Extensor digitorum longus,EDL)为试验材料。以荧光定量PCR法检测Gapdh、Actb、Rer1、Hprt1、Ppia、Rpl7、B2m、Sdha和Rpl27等9个内参基因的mRNA水平,并采用Delta CT、geNorm、NormFinder、BestKeeper和RefFinder五种方法对其表达稳定性进行评估。结果显示,Delta CT法分析稳定性前3个基因为Rpl7>Actb>Rer1,以NormFinder法分析稳定性前3个基因是Rpl7>Rer1>Actb,以BestKeeper法分析稳定性前3个基因是Rpl7>Gapdh>Actb,而以geNorm法分析稳定性前3个基因是Actb>B2m>Rpl27。最后通过RefFinder法综合分析Rpl7是最稳定的内参基因,且5种方法中Ppia均最不稳定。因此,Rpl7可作为小鼠骨骼肌纤维类型检测的稳定内参基因。