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.     

Identification of prior candidate genes for Sclerotinia local resistance in Brassica napus using Arabidopsis cDNA microarray and Brassica-Arabidopsis comparative mapping

Arabidopsis was the leading model of dicot plant. An accomplished platform had been established for functional genomics studies. The platform had largely facilitated molecular biology research of Arabidopsis itself as well as research on its phylogenetic related plants[1,2]. Brassica napus, as an important cooking oil crop, had a close phylogenetic relationship with Arabidopsis[3―5]. In order to take advantage of avail-able Arabidopsis genetic and molecular tools, Girke et al. had explored …     

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。     

Evaluation of rapid DNA extraction methods for the quantitative detection of fungi using real-time PCR analysis

Three comparatively rapid methods for the extraction of DNA from fungal conidia and yeast cells in environmental (air, water and dust) samples were evaluated for use in real-time PCR (TaqMan™) analyses. A simple bead milling method was developed to provide sensitive, accurate and precise quantification of target organisms in air and water (tap and surface) samples. However, quantitative analysis of dust samples required further purification of the extracted DNA by a streamlined silica adsorption procedure.     

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.     

Expression of candidate genes for residual feed intake in Angus cattle

Residual feed intake (RFI) has been adopted in Australia for the purpose of genetic improvement in feed efficiency in beef cattle. RFI is the difference between the observed feed intake of an animal and the predicted feed intake based on its size and growth rate over a test period. Gene expression of eight candidate genes (AHSG, GHR, GSTM1, INHBA, PCDH19, S100A10, SERPINI2 and SOD3), previously identified as differentially expressed between divergent lines of high‐ and low‐RFI animals, was measured in an unselected population of 60 steers from the Angus Society Elite Progeny Test Program using quantitative real‐time PCR. Results showed that the levels of gene expression were significantly correlated with RFI. The genes explain around 33.2% of the phenotypic variance in RFI, and prediction equations using the expression data are reasonably accurate estimators of RFI. The association of these genes with economically important traits, such as other feed efficiency‐related traits and fat, growth and carcass traits, was investigated as well. The expression of these candidate genes was significantly correlated with feed conversion ratio and daily feed intake, which are highly associated with RFI, suggesting a functional role for these genes in modulating feed utilisation. The expression of these genes did not show any association with average daily gain, eye muscle area and carcass composition.     

应用DNA芯片技术对禽致病性大肠杆菌可能致病基因体外表达水平的研究

应用DNA芯片研究禽致病性大肠杆菌可能致病基因的表达.构建禽致病性大肠杆菌毒力基因、潜在毒力基因的DNA芯片,应用基因芯片技术对同属O2血清型的禽高致病性大肠杆菌E058株和低致病性大肠杆菌E526株在体外LB培养基和鸡血清培养状态下进行差异表达分析.结果:在体外LB静置培养状态下,低致病株E526与高致病株E058相比共有16个差异基因,均为下调基因.在鸡血清静置培养中,E526与E058相比共有15个差异基因,均为下调基因.应用基因芯片成功筛选了禽致病性大肠杆菌在体外不同条件下的毒力基因及可能毒力基因中差异表达基因,表明一些铁摄取系统相关基因对APEC的毒力较重要,同时也筛选出了一些新的可能致病基因aes-1,aes-2,aes-3,aes-4,aes-6,aes-8,aes-10,aes-13,aes-15,aes-31等.     

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.     

Identification of key candidate genes and pathways in multiple myeloma by integrated bioinformatics analysis

Multiple myeloma (MM) is a common hematologic malignancy for which the underlying molecular mechanisms remain largely unclear. This study aimed to elucidate key candidate genes and pathways in MM by integrated bioinformatics analysis. Expression profiles GSE6477 and GSE47552 were obtained from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) with p < .05 and [logFC] > 1 were identified. Functional enrichment, protein–protein interaction network construction and survival analyses were then performed. First, 51 upregulated and 78 downregulated DEGs shared between the two GSE datasets were identified. Second, functional enrichment analysis showed that these DEGs are mainly involved in the B cell receptor signaling pathway, hematopoietic cell lineage, and NF-kappa B pathway. Moreover, interrelation analysis of immune system processes showed enrichment of the downregulated DEGs mainly in B cell differentiation, positive regulation of monocyte chemotaxis and positive regulation of T cell proliferation. Finally, the correlation between DEG expression and survival in MM was evaluated using the PrognoScan database. In conclusion, we identified key candidate genes that affect the outcomes of patients with MM, and these genes might serve as potential therapeutic targets.     

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.     

Identification and functional analysis of spermatogenesis-associated gene modules in azoospermia by weighted gene coexpression network analysis

Nonobstructive azoospermia (NOA) or testicular failure is the most severe form of male infertility. A variety of conditions, both acquired and congenital, can cause azoospermia. However, in a large number of azoospermia patients who are classified as idiopathic cases, the etiology remains poorly understand mainly due to the lack of knowledge of all the genetic causes and molecular mechanisms responsible for spermatogenesis failure. Identification of the key gene modules and pathways-related spermatogenesis failure might help to reveal the mechanisms of idiopathic azoospermia. Therefore, the expression patterns of spermatogenesis-associated genes in NOA were analyzed by weighted gene coexpression network analysis (WGCNA) based on two public microarray data sets (GSE45885 and GSE45887), which included 51 samples and 32,321 genes. We identified a module (turquoise) that was significantly related to the Johnsen score of the testicular samples. In addition, the results of function and pathway enrichment analyses based on the online bioinformatics database Metascape revealed that genes in the turquoise module were mainly related to the process of spermatogenesis and spermatid development. To further identify spermatogenesis-associated genes, a microarray data set (GSE926) of murine testis at different developmental time points was analyzed by WGCNA. The blue module in GSE926 was significantly related to the time of murine testis development. The overlap study and k-core analysis based on protein–protein interaction network revealed that spermatogenesis- and spermatid development–associated genes, including glyceraldehyde-3-phosphate dehydrogenase, ADAM metallopeptidase domain 2, transition protein 1, testis-specific serine kinase 2, transition protein 2, and germ cell-associated 1 (GSG1), were further identified in the selected modules. The expression profile of GSG1 in human testis was chosen for further study using immunochemistry staining. Taken together, these screened gene modules and pathways provided a more detailed genetic and molecular mechanism underlying spermatogenesis failure occurrence and holds promise as potential diagnosis biomarkers and therapeutic targets.