全基因组基因表达频谱研究的新方法—SAGE和IPGI

SAGE和IPGI是新近发展起来的用于全基因组基因表达频谱分析和寻找差异基因的新技术,可以同时反映正常或异常等不同功能状态下细胞整个基因组基因表达的全貌,特别是对低丰度表达基因有较高的检测结果,而因而具有重要的应用价值。本文简介SAGE和IPGI技术的基本原理、操作方法及其应用前景。     

强大的广谱基因表达分析技术——基因表达系列分析法

基因表达系列分析(serial analysis of gene expression,SAGE)是一项强大的数字化分析基因组整体表达模式的技术。它的诞生为定量、全局性地分析特定细胞内的基因表达情况提供了可能。本文介绍了SAGE技术的基本原理、最新进展和应用。     

基因表达系列分析法(SAGE)的改进及其在植物功能基因组研究中的应用

基因表达系列分析方法(SAGE)是一种新的基因表达分析方法,与基因芯片技术一样具有高通量的特点,可测定特定组织的基因表达水平,在全基因组水平上同时定量检测数万个基因表达模式;可在未知目的基因的前提下,分析来自一个细胞的全部转录本信息;对已知或未知基因表达进行定性和定量分析.目前,虽然在疾病、发育、细胞凋亡、药物筛选等多个领域已有利用SAGE方法进行的研究,但该方法在植物功能基因组研究中的应用相对较少.本文主要综述了该方法在RNA用量、PCR循环次数、SAGE效能和可靠性、标签长度和未知标签分析等方面的改进及其在植物中构建SAGE文库、筛选新基因、基因表达图谱分析等方面的应用,从而为其在植物功能基因组研究中的进一步应用提供理论参考.     

基因表达连续分析技术及应用研究的进展

随着功能基因组学研究的兴起,基因表达连续分析技术（SAGE）已成为高通量研究基础表达谱的新手段。SAGE技术不仅可以用来研究大部分基因组序列尚未鉴定的生物个体的基因表达谱,其实验结果还可以直接与发表在SAGEmap表达数据库中不同来源的已知文库相比较,应用日益受到重视。     

基因表达系列分析(SAGE)技术在肿瘤研究中的应用

基因表达系列分析(serial analysis of gene expression,SAGE)是一项高效、快捷、低成本的研究生物基因表达水平的方法,广泛用于各种肿瘤的分析研究。SAGE技术对于全面分析肿瘤组织基因表达谱、寻找肿瘤特异性表达新基因、发现肿瘤组织特异标志物和揭示肿瘤发病的分子机制发挥重要的作用。随着“肿瘤基因组解剖工程”(CGAP)的进行,CGAP SAGE可以通过网站分析和展示SAGE数据,并自动的将基因名称和SAGE转录物水平联系起来。因此,这为SAGE技术深入和广泛研究肿瘤提供了方便。     

基因表达系列分析技术的新进展

作为新近建立的研究基因表达的有效工具 ,基因表达系列分析 (SAGE)技术能同时对大量的转录物进行定性和定量分析。它不仅可以显示低丰度的转录物 ,提供基因组表达的完整信息 ,而且可以通过不同状态下基因表达图谱的比较 ,深入了解基因表达的时空性和有序性 ,从而寻找和发现新基因。本文介绍了SAGE的工作原理和方法 ,并着重对其最新的应用与研究进展进行了综述。     

基因表达系列分析技术在动物科学中的研究进展

基因表达系列分析（serialanalysisofgeneexpression,SAGE）是一种快速分析特定组织或细胞内基因表达信息的技术,不但可以比较不同组织细胞在不同时间、空间条件下基因表达的差异,还能发现新基因。近几年来,SAGE技术在动物基因表达研究中的应用取得了飞速发展。就SAGE技术的原理、实验路线、优缺点和改进以及SAGE在动物科学研究中的研究现状及应用前景作一简要介绍。     

功能基因组学的研究内容与方法

基因组学的研究已从结构基因组学转向功能基因组学.综述了功能基因组学研究的内容和方法,主要包括应用微点阵、基因表达系列分析(SAGE)、蛋白质组、生物信息学等方法来研究基因组表达概况、基因组多样性、模式生物体等.     

基因表达系列性分析技术及其应用

基因表达系列性分析（SAGE）是一种高通量的基因表达模式的研究技术,能够对特定细胞或组织中的大量转录本同时进行定量分析。本综述了SAGE技术的基本原理和实验流程以及近年来SAGE方法上的改进,同时介绍了该技术的一些应用研究实例和Internet上可资利用的SAGE数据库资源。     

GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox

High-throughput gene expression analysis has become a frequent and powerful research tool in biology. At present, however, few software applications have been developed for biologists to query large microarray gene expression databases using a Web-browser interface. We present GENEVESTIGATOR, a database and Web-browser data mining interface for Affymetrix GeneChip data. Users can query the database to retrieve the expression patterns of individual genes throughout chosen environmental conditions, growth stages, or organs. Reversely, mining tools allow users to identify genes specifically expressed during selected stresses, growth stages, or in particular organs. Using GENEVESTIGATOR, the gene expression profiles of more than 22,000 Arabidopsis genes can be obtained, including those of 10,600 currently uncharacterized genes. The objective of this software application is to direct gene functional discovery and design of new experiments by providing plant biologists with contextual information on the expression of genes. The database and analysis toolbox is available as a community resource at https://www.genevestigator.ethz.ch.     

Loss of Connectivity in Cancer Co-Expression Networks

Differential gene expression profiling studies have lead to the identification of several disease biomarkers. However, the oncogenic alterations in coding regions can modify the gene functions without affecting their own expression profiles. Moreover, post-translational modifications can modify the activity of the coded protein without altering the expression levels of the coding gene, but eliciting variations to the expression levels of the regulated genes. These considerations motivate the study of the rewiring of networks co-expressed genes as a consequence of the aforementioned alterations in order to complement the informative content of differential expression. We analyzed 339 mRNAomes of five distinct cancer types to find single genes that presented co-expression patterns strongly differentiated between normal and tumor phenotypes. Our analysis of differentially connected genes indicates the loss of connectivity as a common topological trait of cancer networks, and unveils novel candidate cancer genes. Moreover, our integrated approach that combines the differential expression together with the differential connectivity improves the classic enrichment pathway analysis providing novel insights on putative cancer gene biosystems not still fully investigated.     

2.45 GHz radiofrequency fields alter gene expression in cultured human cells

The biological effect of radiofrequency (RF) fields remains controversial. We address this issue by examining whether RF fields can cause changes in gene expression. We used the pulsed RF fields at a frequency of 2.45 GHz that is commonly used in telecommunication to expose cultured human HL-60 cells. We used the serial analysis of gene expression (SAGE) method to measure the RF effect on gene expression at the genome level. We observed that 221 genes altered their expression after a 2-h exposure. The number of affected genes increased to 759 after a 6-h exposure. Functional classification of the affected genes reveals that apoptosis-related genes were among the upregulated ones and the cell cycle genes among the downregulated ones. We observed no significant increase in the expression of heat shock genes. These results indicate that the RF fields at 2.45 GHz can alter gene expression in cultured human cells through non-thermal mechanism.     

The Influence of the Global Gene Expression Shift on Downstream Analyses

The assumption that total abundance of RNAs in a cell is roughly the same in different cells is underlying most studies based on gene expression analyses. But experiments have shown that changes in the expression of some master regulators such as c-MYC can cause global shift in the expression of almost all genes in some cell types like cancers. Such shift will violate this assumption and can cause wrong or biased conclusions for standard data analysis practices, such as detection of differentially expressed (DE) genes and molecular classification of tumors based on gene expression. Most existing gene expression data were generated without considering this possibility, and are therefore at the risk of having produced unreliable results if such global shift effect exists in the data. To evaluate this risk, we conducted a systematic study on the possible influence of the global gene expression shift effect on differential expression analysis and on molecular classification analysis. We collected data with known global shift effect and also generated data to simulate different situations of the effect based on a wide collection of real gene expression data, and conducted comparative studies on representative existing methods. We observed that some DE analysis methods are more tolerant to the global shift while others are very sensitive to it. Classification accuracy is not sensitive to the shift and actually can benefit from it, but genes selected for the classification can be greatly affected.     

Microarray phenotyping in Dictyostelium reveals a regulon of chemotaxis genes

MOTIVATION: Coordinate regulation of gene expression can provide information on gene function. To begin a large-scale analysis of Dictyostelium gene function, we clustered genes based on their expression in wild-type and mutant strains and analyzed their functions. RESULTS: We found 17 modes of wild-type gene expression and refined them into 57 submodes considering mutant data. Annotation analyses revealed correlations between co-expression and function and an unexpected correlation between expression and function of genes involved in various aspects of chemotaxis. Co-regulation of chemotaxis genes was also found in published data from neutrophils. To test the predictive power of the analysis, we examined the phenotypes of mutations in seven co-regulated genes that had no published role in chemotaxis. Six mutants exhibited chemotaxis defects, supporting the idea that function can be inferred from co-expression. The clustering and annotation analyses provide a public resource for Dictyostelium functional genomics.     

结合SSH和cDNA芯片技术在植物研究中的应用

抑制性差减杂交(Suppression Subtractive Hybridization,SSH)技术是分离差异表达基因的一种新方法。cDNA芯片也是近年来发展起来的一种新技术,它是指将大量的特定的寡核苷酸片段或基因片段作为探针,有规律地排列固定于硅片、玻片、塑料片等固相支持物上制成的芯片。本文主要介绍抑制差减杂交和cDNA芯片技术原理及其在植物研究中的应用。     

Validation of Zebrafish （Danio redo） Reference Genes for Quantitative Real-time RT-PCR Normalization

The normalization of quantitative real time RT-PCR （qRT-PCR） is important to obtain accurate gene expression data. The most common method for qRT-PCR normalization is to use reference, or housekeeping genes. However, there is emerging evidence that even reference genes can be regulated under different conditions, qRT-PCR has only recently been used in terms of zebrafish gene expression studies and there is no validated set of reference genes. This study characterizes the expression of nine possible reference genes during zebrafish embryonic development and in a zebrafish tissue panel. All nine reference genes exhibited variable expression. The fl-actin, EFlot and Rpll3ot genes comprise a validated reference gene panel for zebrafish developmental time course studies, and the EF1 or, Rpll3α and 18S rRNA genes are more suitable as a reference gene panel for zebrafish tissue analysis. Importantly, the zebrafish GAPDH gene appears unsuitable as reference gene for both types of studies.     

The thioredoxin gene family in rice: genome-wide identification and expression profiling under different biotic and abiotic treatments

Thioredoxin (TRX) is a multi-functional redox protein. Genome-wide survey and expression profiles of different stresses were observed. Conserved amino acid residues and phylogeny construction using the OsTRX conserved domain sequence suggest that the TRX gene family can be classified broadly into six subfamilies in rice. We compared potential gene birth-and-death events in the OsTRX genes. The Ka/Ks ratio is a measure to explore the mechanism and 3 evolutionary stages of the OsTRX genes divergence after duplication. We used 270 TRX genes from monocots and eudicots for synteny analysis. Furthermore, we investigated expression profiles of this gene family under 5 biotic and 3 abiotic stresses. Several genes were differentially expressed with high levels of expression and exhibited subfunctionalization and neofunctionalization after the duplication event response to different stresses, which provides novel reference for the cloning of the most promising candidate genes from OsTRX gene family for further functional analysis.     

基因表达研究中内参基因的选择与应用

管家基因是一类无组织特异性的,在物种的所有组织细胞中都表达的基因,被广泛用作内参基因来检测目标基因在不同的组织器官、一定的发育阶段或胁迫的环境条件下的表达规律变化。这些管家基因并不是在所有生理条件下都能作为理想内参基因稳定表达。在基因表达转录分析中,大多数普遍使用的内参基因已不能满足准确定量的要求。基于统计学分析软件,如geNorm、BestKeeper和NormFinder三种分析软件,可以筛选出稳定性较好的内参基因。本文综述了内参基因的选择条件、方法及应用。