Gene Expression Analysis

The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown. Three techniques, two‐dimensional gel electrophoresis, differential display, and gene discovery arrays, provide opportunities for measuring changes in gene expression levels, as well as for identifying novel gene products.     

Rapid analysis of gene expression (RAGE) facilitates universal expression profiling.

Current techniques for analysis of gene expression either monitor one gene at a time, for example northern hybridization or RT-PCR methods, or are designed for the simultaneous analysis of thousands of genes, for example microarray hybridization or serial analysis of gene expression. To provide a flexible, intermediate scale alternative, a PCR-based method for the rapid analysis of gene expression has been developed which allows expression changes to be determined in either a directed search of known genes, or an undirected survey of unknown genes. A single set of reagents and reaction conditions allows analyses of most genes in any eukaryote. The method is useful for assaying on the order of tens to hundreds of genes in multiple samples. Control experiments indicate reliable detection of changes in gene expression 2-fold and greater, and sensitivity of detection better than 1 in 10 000. Analyses of over 400 genes in a mouse system transgenic for the E2F1 gene have identified several new downstream targets of E2F1, including Brca1 and Cdk7, in addition to several unidentified genes that are upregulated in the transgenic mice. Changes in expression of several genes related to apoptosis suggest a possible potentiation of apoptotic pathways in the transgenic keratinocytes.     

Characterization of the Amdr-Controlled Lama and Lamb Genes of Aspergillus Nidulans

Four Aspergillus nidulans genes are known to be under the control of the trans-acting regulatory gene amdR. We describe the isolation and initial characterization of one of these amdR-regulated genes, lamA. The lam locus, however, was found to consist of two divergently transcribed genes, the lamA gene, and a new gene, also under amdR control, which we have designated lamB. Using recombinant DNA techniques we have constructed a strain of A. nidulans lacking a functional lamB gene. Experiments conducted with this strain demonstrate that lamB, like lamA, is involved in utilization of 2-pyrrolidinone in A. nidulans. Metabolism of a related compound, gamma-amino butyric acid (GABA) is not affected. We also provide evidence that the conversion of exogenous 2-pyrrolidinone to endogenous GABA requires a functional lamB gene. The expression of both lamA and lamB is subject to carbon and nitrogen metabolite repression in addition to amdR-mediated induction by omega-amino acids.     

基因网络中基因关系图谱的构建及其应用

尽快破解基因组所包含基因的功能是一项费力但又很重要的工作。一个基因功能的实现依赖于该基因与其它基因间的相互作用。基因网络是一组基因的集合体,这些基因通过相互协作来控制生物体重要的生命过程。通过基因敲除、RNA干扰或其它方法改变基因网络中某个基因的表达水平,将会引起该网络中其它基因表达水平的变化。而这种变化可以方便地通过基因表达差异显示技术检测相应mRNA含量变化来反映。因此,将这两类方法组合在一起,可以在基因组水平上有效地检测出基因网络中的基因关系。这种策略对基因功能研究方法是一个重要补充。     

Analysis of mRNA synthesis following induction of the Escherichia coli SOS system

Escherichia coli responds to impairment of DNA synthesis by inducing a system of DNA repair known as the SOS response. Specific genes are derepressed through proteolytic cleavage of their repressor, the lexA gene product. Cleavage in vivo requires functional RecA protein in a role not yet understood. We used mRNA hybridization techniques to follow the rapid changes that occur with induction in cells with mutations in the recA operator or in the repressor cleavage site. These mutations allowed us to uncouple the induction of RecA protein synthesis from its role in inducing the other SOS functions. Following induction with ultraviolet light, we observed increased rates of mRNA synthesis from five SOS genes within five minutes, maximum expression ten to 20 minutes later and then a later decline to near the initial rates. The presence of a recA operator mutation did not significantly influence these kinetics, whereas induction was fully blocked by an additional mutation in the repressor cleavage site. These experiments are consistent with activation of RecA protein preceding repressor cleavage and derepression of SOS genes. The results also suggest that the timing and extent of induction of individual SOS genes may be different.     

Genomics and transcriptomics to study fruiting body development: An update

Fruiting bodies of asco- and basidiomycetes are complex three-dimensional structures that protect and disperse the sexual spores. Their differentiation requires the concerted action of many genes, therefore "omics" techniques to analyze fungal genomes and gene expression at a genome-wide level provide excellent means to gain insights into this differentiation process. This review summarizes some recent examples of the use of “omics” techniques to study fruiting body morphogenesis. These include genome-centered analyses, and studies to analyze the regulation of gene expression including the analysis of RNA editing as a novel layer in the regulation of gene expression during fruiting body development in ascomycetes.     

Integration of text- and data-mining using ontologies successfully selects disease gene candidates

Genome-wide techniques such as microarray analysis, Serial Analysis of Gene Expression (SAGE), Massively Parallel Signature Sequencing (MPSS), linkage analysis and association studies are used extensively in the search for genes that cause diseases, and often identify many hundreds of candidate disease genes. Selection of the most probable of these candidate disease genes for further empirical analysis is a significant challenge. Additionally, identifying the genes that cause complex diseases is problematic due to low penetrance of multiple contributing genes. Here, we describe a novel bioinformatic approach that selects candidate disease genes according to their expression profiles. We use the eVOC anatomical ontology to integrate text-mining of biomedical literature and data-mining of available human gene expression data. To demonstrate that our method is successful and widely applicable, we apply it to a database of 417 candidate genes containing 17 known disease genes. We successfully select the known disease gene for 15 out of 17 diseases and reduce the candidate gene set to 63.3% (±18.8%) of its original size. This approach facilitates direct association between genomic data describing gene expression and information from biomedical texts describing disease phenotype, and successfully prioritizes candidate genes according to their expression in disease-affected tissues.     

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,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。     

Nucleolar Integrity Is Required for the Maintenance of Long-Term Synaptic Plasticity

Long-term memory (LTM) formation requires new protein synthesis and new gene expression. Based on our work in Aplysia, we hypothesized that the rRNA genes, stimulation-dependent targets of the enzyme Poly(ADP-ribose) polymerase-1 (PARP-1), are primary effectors of the activity-dependent changes in synaptic function that maintain synaptic plasticity and memory. Using electrophysiology, immunohistochemistry, pharmacology and molecular biology techniques, we show here, for the first time, that the maintenance of forskolin-induced late-phase long-term potentiation (L-LTP) in mouse hippocampal slices requires nucleolar integrity and the expression of new rRNAs. The activity-dependent upregulation of rRNA, as well as L-LTP expression, are poly(ADP-ribosyl)ation (PAR) dependent and accompanied by an increase in nuclear PARP-1 and Poly(ADP) ribose molecules (pADPr) after forskolin stimulation. The upregulation of PARP-1 and pADPr is regulated by Protein kinase A (PKA) and extracellular signal-regulated kinase (ERK)—two kinases strongly associated with long-term plasticity and learning and memory. Selective inhibition of RNA Polymerase I (Pol I), responsible for the synthesis of precursor rRNA, results in the segmentation of nucleoli, the exclusion of PARP-1 from functional nucleolar compartments and disrupted L-LTP maintenance. Taken as a whole, these results suggest that new rRNAs (28S, 18S, and 5.8S ribosomal components)—hence, new ribosomes and nucleoli integrity—are required for the maintenance of long-term synaptic plasticity. This provides a mechanistic link between stimulation-dependent gene expression and the new protein synthesis known to be required for memory consolidation.     

The pattern of gene expression in mouse Gr-1(+) myeloid progenitor cells

To understand the pattern of gene expression in mouse myeloid progenitor cells, we carried out a genome-wide analysis of gene expression in mouse bone marrow Gr-1(+) cells using SAGE and GLGI techniques. We identified 22,033 unique SAGE tags with quantitative information from 73,869 collected SAGE tags. Among these unique tags, 64% match known sequences, including many genes important for myeloid differentiation, and 36% have no matches to known sequences and are likely to represent novel genes. We compared the expression of mouse Gr-1(+) and human CD15(+) myeloid progenitor cells and showed that the pattern of gene expression of these two cell populations had some similarities. We also compared the expression of mouse Gr-1(+) myeloid progenitor cells with that of mouse brain tissue and found a highly tissue-specific manner of gene expression in these two samples. Our data provide a basis for studying altered gene expression in myeloid disorders using mouse models.