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。     

Gene expression profiling of human diseases by serial analysis of gene expression

Until recently, the approach to understanding the molecular basis of complex syndromes such as cancer, coronary artery disease, and diabetes was to study the behavior of individual genes. However, it is generally recognized that expression of a number of genes is coordinated both spatially and temporally and that this coordination changes during the development and progression of diseases. Newly developed functional genomic approaches, such as serial analysis of gene expression (SAGE) and DNA microarrays have enabled researchers to determine the expression pattern of thousands of genes simultaneously. One attractive feature of SAGE compared to microarrays is its ability to quantify gene expression without prior sequence information or information about genes that are thought to be expressed. SAGE has been successfully applied to the gene expression profiling of a number of human diseases. In this review, we will first discuss SAGE technique and contrast it to microarray. We will then highlight new biological insights that have emerged from its application to the study of human diseases.     

Comparison of microRNAs in the intramuscular adipose tissue from Jinhua and Landrace pigs

MicroRNA (miRNA) is critically involved in lipogenesis occurring in various body parts of humans and animals. In this study, to further investigate the role and distribution of miRNA in porcine intramuscular adipose tissue, small RNAs were extracted from Jinhua and Landrace pigs to identify the expression profiles of miRNAs. miRNA expression profiles revealed that 558 miRNAs including 287 known and 271 novel miRNAs were identified, and 220 of them showed differential expression in the pigs. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis suggested that the target genes of the differentially expressed miRNAs were involved in fatty metabolism. In conclusion, the current study reveals the active participation of miRNAs in the regulation of adipogenesis in the intramuscular adipose tissue of Jinhua and Landrace pigs.     

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。     

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.     

Characterization and comparison of adipose tissue‐derived cells from human subcutaneous and omental adipose tissues

Different fat depots contribute differently to disease and function. These differences may be due to the regional variation in cell types and inherent properties of fat cell progenitors. To address the differences of cell types in the adipose tissue from different depots, the phenotypes of freshly isolated adipose tissue‐derived cells (ATDCs) from subcutaneous (SC) and omental (OM) adipose tissues were compared using flow cytometry. Our results showed that CD31^?CD34⁺CD45^?CD90^‐CD105^?CD146⁺ population, containing vascular smooth muscle cells and pericytes, was specifically defined in the SC adipose tissue while no such population was observed in OM adipose tissue. On the other hand, CD31^?CD34⁺CD45^?CD90^?CD105^?CD146^? population, which is an undefined cell population, were found solely in OM adipose tissue. Overall, the SC adipose tissue contained more ATDCs than OM adipose tissue, while OM adipose tissue contained more blood‐derived cells. Regarding to the inherent properties of fat cell progenitors from the two depots, adipose‐derived stem cells (ADSCs) from SC had higher capacity to differentiate into both adipogenic and osteogenic lineages than those from OM, regardless of that the proliferation rates of ADSCs from both depots were similar. The higher differentiation capacity of ADSCs from SC adipose tissue suggests that SC tissue is more suitable cell source for regenerative medicine than OM adipose tissue. Copyright © 2009 John Wiley & Sons, Ltd.     

Global analysis of gene expression by differential display

Differential display (DD) is one of the most commonly used approaches for identifying differentially expressed genes. However, there has been lack of an accurate guidance on how many DD polymerase chain reaction (PCR) primer combinations are needed to display most of the genes expressed in a eukaryotic cell. This study critically evaluated the gene coverage by DD as a function of the number of arbitrary primers, the number of 3′ bases of an arbitrary primer required to completely match an mRNA target sequence, the additional 5′ base match(s) of arbitrary primers in first-strand cDNA recognition, and the length of mRNA tails being analyzed. The resulting new DD mathematical model predicts that 80 to 160 arbitrary 13mers, when used in combinations with 3 one-base anchored oligo-dT primers, would allow any given mRNA within a eukaryotic cell to be detected with a 74% to 93% probability, respectively. The prediction was supported by both computer simulation of the DD process and experimental data from a comprehensive fluorescent DD screening for target genes of tumor-suppressor p53. Thus, this work provides a theoretical foundation upon which global analysis of gene expression by DD can be pursued.