Assessment of candidate reference genes for the expression studies with brassinosteroids in Lolium perenne and Triticum aestivum

Quantitative PCR studies need proper reference genes with expression stability exclusively validated under certain experimental conditions. The expression stability of several genes commonly used as references was tested under 24-epibrassinolide (EBR) and temperature treatment. Different statistical approaches (qBase^PLUS, BestKeeper, NormFinder) were used to prepare rankings of expression stability in two species of an economic importance: common wheat (Triticum aestivum) and perennial ryegrass (Lolium perenne). Candidate reference genes were shown to be regulated differentially in these two plant species. The maximum stability values indicated that the expression stability was higher in T. aestivum. Taking into account of all ranks it seems that TBP-1 and UBI in ryegrass and ACT, ADP and EF1A in wheat should be used as reference genes in the brassinosteroids and temperature involving studies.     

嗜热四膜虫五个hsp70基因的表达分析

鉴定得到嗜热四膜虫13个含有完整保守结构域的hsp70基因,对其中5个高度相似且无内含子的hsp70基因进行表达分析。在37、39和41℃热激条件下,实时荧光定量PCR结果表明,hsp70-2基因对热激响应最敏感。在四膜虫生长、饥饿和接合生殖这3种生理或发育状态下,Microarray结果显示,hsp70-4基因恒定且高表达;在热激条件下,hsp70-4基因的表达水平随着温度的升高而略微增加,证实hsp70-4基因为热休克相关蛋白hsc70基因;克隆的hsp70-4基因全长2208bp,开放阅读框长1959bp,编码653个氨基酸。Microarray结果提示,hsp70-3可能参与四膜虫饥饿早期(0～12h)的耐受和接合生殖后期(6～10h)的新大小核形成,老大核凋亡等事件;hsp70-5可能参与四膜虫饥饿晚期(12～15h)的耐受和接合生殖早期(0～6h)的小核减数分裂、小核交换和原核(pronuclear)融合事件。Blast2GO分析表明,与hsp70-3和hsp70-5共表达的基因分别参与不同的生物学过程,进一步反映了hsp70-3和hsp70-5这两个基因在功能上是存在差异的。     

Quantitative analysis of DNA hybridization in a flowthrough microarray for molecular testing

Quantitative information about the nucleic acids hybridization reaction on microarrays is fundamental to designing optimized assays for molecular diagnostics. This study presents the kinetic, equilibrium, and thermodynamic analyses of DNA hybridization in a microarray system designed for fast molecular testing of pathogenic bacteria. Our microarray setup uses a porous, nylon membrane for probe immobilization and flowthrough incubation. The Langmuir model was used to determine the reaction rate constants of hybridization with antisense targets specific to Staphylococcus epidermidis and Staphylococcus aureus strains. The kinetic analysis revealed a sequence-dependent reaction rate, with association rate constants on the order of 10⁵ M⁻¹ s⁻¹ and dissociation rate constants of 10⁻⁴ s⁻¹. We found that by increasing the probe surface density from 10¹¹ to 10¹² molecules/cm², the hybridization rate and efficiency are suppressed while the melting temperature of the DNA duplex increases. The maximum fraction of hybridized capture probes at equilibrium did not exceed 50% for hybridization with antisense sequences and was below 6% for hybridization with long targets obtained from PCR. The van’t Hoff analysis of the temperature denaturation data showed that the DNA hybridization in our porous, flowthrough microarray is thermodynamically less favorable than the hybridization of the same sequences in solution.     

Identification of aberrant cell cycle regulation in Epstein-Barr virus-associated nasopharyngeal carcinoma by cDNA microarray and gene set enrichment analysis

Previous studies have revealed that Epstein-Barr virus （EBV） was closely associated with nasopharyngeal carcinoma （NPC）. This study aimed to characterize the global pathways affected in the EBV-associated NPC. Combined with microdissection, gene expression profries in 22 NPCs and 10 non-tumor nasopharyngeal epithelial （NPE） tissue samples were analyzed. All NPC specimens served in the microarray analysis were positive for EBV, as judged by identification of the expression of EBV nuclear antigen 1 （EBNA1）. Through gene set enrichment analysis （GSEA）, we found that cell cycle pathway was the most disregulated pathway in NPC （P = 0.000, false discovery rate q-value = 0.007）, which included some aberrant expressed components. We first found that overexpression of CDK4, cyclin D1, and Rb proteins, and loss of expression of proteins p16, p27, and p19 were statistically significant in NPC tissues compared with non-cancerous NPE （P〈 0.05） by real-time RT- PCR and tissue microarray. EBV-encoded small RNA-1 （EBER-1） hybridization signals in the NPC showed significant associations with the overexpression of Rb （P = 0.000）, cyclin D1 （P = 0.000）, CDK4 （P = 0.000）, and the loss of expression of p16 proteins （P = 0.039）. In the final logistic regression analysis model, EBER-1 and abnormal expression of p16, Rb, cyclin D1, and E2F6 were inde- pendent contributions to nasopharyngeal carcinogenesis. Through survival analysis, only cyclin D1 could predict the prognosis of NPC patients. These results suggested that cell cycle pathway was the most disregulated pathway in the EBV-associated NPC, and EBER-1 was closely associated with p16, CDK4, cyclin D1, and Rb. cyclin D1 could be the prognosis biomarker for NPC.     

Identification of candidate genes for fusarium yellows resistance in Chinese cabbage by differential expression analysis

Fusarium yellows caused by Fusarium oxysporum f. sp. conglutinans is an important disease of Brassica worldwide. To identify a resistance (R) gene against Fusarium yellows in Chinese cabbage (Brassica rapa var. pekinensis), we analyzed differential expression at the whole genome level between resistant and susceptible inbred lines using RNA sequencing. Four hundred and eighteen genes were significantly differentially expressed, and these were enriched for genes involved in response to stress or stimulus. Seven dominant DNA markers at putative R-genes were identified. Presence and absence of the sequence of the putative R-genes, Bra012688 and Bra012689, correlated with the resistance of six inbred lines and susceptibility of four inbred lines, respectively. In F₂ populations derived from crosses between resistant and susceptible inbred lines, presence of Bra012688 and Bra012689 cosegregated with resistance, suggesting that Bra012688 and Bra012689 are good candidates for fusarium yellows resistance in Chinese cabbage.     

Comparative microarray data analysis for the expression of genes in the pathway of glioma

Our present work focuses on the set of genes, which are involved in primary brain tumors - the glioma pathway. These gliomas are mostly malignant (cancerous) in nature and are difficult to be cured and that's why they attract the attention of all the workers. To understand the relative functionality of these genes, we analyzed the expression pattern of all genes, using gene expression data, at genomic level, and then to check their universality in all other cancers, we compared their expression levels and patterns in all other types of cancers by using gene expression graphs, and observed their expression levels in all these cancers, whether they are over or under expressed. We found that every gene has its own unique expression pattern and level and on that basis it can be classified. We also found that oncogenes and tumor suppressor genes that were involved in the glioma pathway were showing similar expression patterns in other cancers too but their expression level is low.     

Comparison of algorithms for the analysis of Affymetrix microarray data as evaluated by co-expression of genes in known operons

Oligonucleotide microarrays are an informative tool to elucidate gene regulatory networks. In order for gene expression levels to be comparable across microarrays, normalization procedures have to be invoked. A large number of methods have been described to correct for systematic biases in microarray experiments. The performance of these methods has been tested only to a limited extend. Here, we evaluate two different types of microarray analyses: (i) the same gene in replicate samples and (ii) different, but co-expressed genes in the same sample. The reliability of the latter analysis needs to be determined for the analysis of regulatory networks and our report is the first attempt to evaluate for the accuracy of different microarray normalization methods in this respect. Consistent with previous results we observed a large effect of the normalization method on the outcome of the expression analyses. Our analyses indicate that different normalization methods should be performed depending on whether a study is aiming to detect differential gene expression between independent samples or whether co-expressed genes should be identified. We make recommendations about the most appropriate method to use.     

DNA polymorphism analysis of candidate genes for type 2 diabetes mellitus in a Mexican ethnic group

Type 2 diabetes mellitus is a complex metabolic disorder resulting from the action and interaction of many genetic and environmental factors. It has been reported that polymorphisms in genes involved in the metabolism of glucose are associated with the susceptibility to develop type 2 diabetes mellitus. Although the risk of developing type 2 diabetes mellitus increases with age, as well as with obesity and hypertension, its prevalence and incidence are different among geographical regions and ethnic groups. In Mexico, a higher prevalence and incidence has been described in the south of the country, and differences between urban and rural communities have been observed.We studied 73 individuals from Santiago Jamiltepec, a small indigenous community from Oaxaca State, Mexico. This population has shown a high prevalence of type 2 diabetes mellitus, and the aim of this study was to analyze the relationship between the Pst I (insulin gene), Nsi I (insulin receptor gene) and Gly972Arg (insulin receptor substrate 1 gene) polymorphisms and type 2 diabetes mellitus, obesity and hypertension in this population. Clinical evaluation consisted of BMI and blood pressure measurements, and biochemical assays consisted of determination of fasting plasma insulin and glucose levels. PCR and restriction enzyme digestion analysis were applied to genomic DNA to identify the three polymorphisms. From statistical analysis carried out here, individually, the Pst I, Nsi I and Gly972Arg polymorphisms were not associated with the type 2 diabetes, obese or hypertensive phenotypes in this population. Nevertheless, there was an association between the Nsi I and Pst I polymorphisms and increased serum insulin levels.     

Increased runs of homozygosity in the autosomal genome of Brazilian individuals with neurodevelopmental delay/intellectual disability and/or multiple congenital anomalies investigated by chromosomal microarray analysis

Runs of homozygosity (ROH) in the human genome may be clinically relevant. The aim of this study was to report the frequency of increased ROH of the autosomal genome in individuals with neurodevelopmental delay/intellectual disability and/or multiple congenital anomalies, and to compare these data with a control group. Data consisted of calls of homozygosity from 265 patients and 289 controls. In total, 7.2% (19/265) of the patients showed multiple ROH exceeding 1% of autosomal genome, compared to 1.4% (4/289) in the control group (p=0.0006). Homozygosity ranged from 1.38% to 22.12% among patients, and from 1.53 to 2.40% in the control group. In turn, 1.9% (5/265) of patients presented ROH ≥10Mb in a single chromosome, compared to 0.3% (1/289) of individuals from the control group (p=0.0801). By excluding cases with reported consanguineous parents (15/24), the frequency of increased ROH was 3.4% (9/250) among patients and 1.7% (5/289) in the control group, considering multiple ROH exceeding 1% of the autosome genome and ROH ≥10Mb in a single chromosome together, although not statistically significant (p=0.1873). These results reinforce the importance of investigating ROH, which with complementary diagnostic tests can improve the diagnostic yield for patients with such conditions.     

Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies

Analysis of epigenetic mechanisms, particularly DNA methylation, is of increasing interest for epidemiologic studies examining disease etiology and impacts of environmental exposures. The Infinium HumanMethylation450 BeadChip^® (450K), which interrogates over 480?000 CpG sites and is relatively cost effective, has become a popular tool to characterize the DNA methylome. For large-scale studies, minimizing technical variability and potential bias is paramount. The goal of this paper was to evaluate the performance of several existing and novel color channel normalizations designed to reduce technical variability and batch effects in 450K analysis from a large population study. Comparative assessment of 10 normalization procedures included the GenomeStudio^® Illumina procedure, the lumi smooth quantile approach, and the newly proposed All Sample Mean Normalization (ASMN). We also examined the performance of normalizations in combination with correction for the two types of Infinium chemistry utilized on the 450K array. We observed that the performance of the GenomeStudio^® normalization procedure was highly variable and dependent on the quality of the first sample analyzed in an experiment, which is used as a reference in this procedure. While the lumi normalization was able to decrease batch variability, it increased variation among technical replicates, potentially reducing biologically meaningful findings. The proposed ASMN procedure performed consistently well, both at reducing batch effects and improving replicate comparability. In summary, the ASMN procedure can improve existing color channel normalization, especially for large epidemiologic studies, and can be successfully implemented to enhance a 450K DNA methylation data pipeline.     

Identification of genes regulated by oleic acid in Jurkat cells by suppressive subtractive hybridization analysis

In this study, the effect of oleic acid (50 microM) on gene expression of Jurkat cells (human T lymphocytes cell line) was examined using the suppressive subtractive hybridization approach. This technique allowed us to identify genes with higher or lower expression after cell treatment with oleic acid as compared to untreated cells. Oleic acid upregulated the expression of the translation elongation factor alpha 1 and ATP synthase 8 and downregulated gp96 (human tumor rejection antigen gp96), heat-shock protein 60 and subtilisin-like protein 4. These results suggest that oleic acid, at plasma physiological concentration, can regulate the expression of important genes to maintain the machinery that ensures cell functioning.