Analysis of gene expression profiles of gastric normal and cancer tissues by SAGE

In an attempt to understand the molecular bases of gastric cancer progression, we have analyzed the differentially expressed genes in gastric cancer by SAGE. Four SAGE cDNA tag libraries were constructed from two sets of gastric cancer and normal tissues and 241,127 tags were obtained. By comparing the tags from cancer and normal tissues, 414 differentially expressed tags, representing 383 genes, were identified in cancer tissues (p 相似文献   

Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arrays

Background  

The Audic-Claverie method [1] has been and still continues to be a popular approach for detection of differentially expressed genes in the SAGE framework. The method is based on the assumption that under the null hypothesis tag counts of the same gene in two libraries come from the same but unknown Poisson distribution. The problem is that each SAGE library represents only a single measurement. We ask: Given that the tag count samples from SAGE libraries are extremely limited, how useful actually is the Audic-Claverie methodology? We rigorously analyze the A-C statistic that forms a backbone of the methodology and represents our knowledge of the underlying tag generating process based on one observation.     

High-abundance mRNAs in Apis mellifera: comparison between nurses and foragers

A large volume of honey bee (Apis mellifera) tag-seq was obtained to identify differential gene expression via Solexa/lllumina Digital Gene Expression tag profiling (DGE) based on next generation sequencing. In total, 4,286,250 (foragers) and 3,422,327 (nurses) clean tags were sequenced, 24,568 (foragers) and 13,134 (nurses) distinct clean tags could not be match to the reference database, and 7508 and 6875 mapped genes were detected in foragers and nurses respectively. 7045 genes were found differentially expressed between foragers and nurses. Of those genes, 1621genes had significantly different expression, that is, they showed an expression ratio (foragers/nurses) of more than 2 and FDR (False Discovery Rate) of less than 0.001. We identified 101 genes that were uniquely expressed in foragers, and 9 genes that were only expressed in nurses. We performed the Gene Ontology (GO) category and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and found 415 genes with annotation terms linked to the GO cellular component category. 200 components of KEGG pathways were obtained, including 21 signaling pathways. The PPAR signaling pathway was the most highly enriched, with the lowest Q-value.     

Bayesian Hierarchical Modeling and Selection of Differentially Expressed Genes for the EST Data

Summary Expressed sequence tag (EST) sequencing is a one‐pass sequencing reading of cloned cDNAs derived from a certain tissue. The frequency of unique tags among different unbiased cDNA libraries is used to infer the relative expression level of each tag. In this article, we propose a hierarchical multinomial model with a nonlinear Dirichlet prior for the EST data with multiple libraries and multiple types of tissues. A novel hierarchical prior is developed and the properties of the proposed prior are examined. An efficient Markov chain Monte Carlo algorithm is developed for carrying out the posterior computation. We also propose a new selection criterion for detecting which genes are differentially expressed between two tissue types. Our new method with the new gene selection criterion is demonstrated via several simulations to have low false negative and false positive rates. A real EST data set is used to motivate and illustrate the proposed method.     

草菇菌丝体与原基差异表达基因分析

采用Solexa测序技术,对草菇菌丝体和原基进行了数字基因表达谱(DGE)测序,在菌丝体和原基文库中分别得到5701781个和5659262个高质量测序标签(cleantags),对应的标签种数(distinct clean tags)分别为85626和95363。将所有高质量测序标签与参考基因库进行比对,在菌丝体和原基文库中,占标签种数的43.32%和52.57%的标签可以唯一定位(map)到参考序列上,占标签种数的21.65%和21.47%的标签可以被定位到基因组序列上。最终,被菌丝体和原基标签唯一定位的基因数(unambiguous tag-mapped genes)分别为14794和15534。差异基因分析显示,两个文库中共有显著性差异表达的基因4163个,其中在原基中上调、下调的基因数分别为2486和1677,只在原基中表达的基因321个。经过Blastnr比对,在原基中特异表达的基因,涉及蛋白质(氨基酸)合成与代谢、糖代谢、脂类代谢和抗逆反应等多个代谢途径。GO功能富集分析结果表明,葡萄糖、己糖和乙醇等代谢途径大部分基因下调表达。Pathway功能富集分析结果表明,合成核糖体蛋白的基因均下调表达,表明原基形成时细胞代谢减弱,蛋白质合成量减小。     

Analysis of the transcriptional response to Rice Yellow Mottle Virus infection in<Emphasis Type="Italic"> Oryza sativa indica</Emphasis> and<Emphasis Type="Italic"> japonica</Emphasis> cultivars

Several cDNA libraries were constructed using mRNA isolated from roots, panicles, cell suspensions and leaves of non-stressed Oryza sativa indica (IR64) and japonica (Azucena) plants, from wounded leaves, and from leaves of both cultivars inoculated with Rice Yellow Mottle Virus (RYMV). A total of 5549 cleaned expressed sequence tags (ESTs) were generated from these libraries. They were classified into functional categories on the basis of homology, and analyzed for redundancy within each library. The expression profiles represented by each library revealed great differences between indica and japonica backgrounds. EST frequencies during the early stages of RYMV infection indicated that changes in the expression of genes involved in energy metabolism and photosynthesis are differentially accentuated in susceptible and partially resistant cultivars. Mapping of these ESTs revealed that several co-localize with previously described resistance gene analogs and QTLs (quantitative trait loci).     

Serial analysis of gene expression in chronic hepatitis C and hepatocellular carcinoma

Hepatitis C virus (HCV) causes chronic hepatitis C (CH-C) and is epidemiologically linked with the occurrence of hepatocellular carcinoma (HCC). To elucidate the comprehensive gene expression profiles of CH-C and HCC, serial analysis of gene expression (SAGE) libraries were made from CH-C and HCC tissues of a patient, and compared with a reported SAGE library of a normal liver (NL). Scatter plots of the distribution of tags from the HCC library exhibited the existence of many differentially expressed genes compared with those from the CH-C and NL libraries. Up-regulation of IFN-gamma inducible genes and oxidative stress-inducible genes were identified in both the CH-C and HCC libraries, and some unpublished new genes were specifically up- or down-regulated in the HCC library. This genome-wide scanning study discloses the molecular portraits of CH-C and HCC, and provides novel candidate genes that should help clarify the mechanism of hepatocarcinogenesis in the chronically HCV-infected liver.