Function and Chromosome Location of Differentially Expressed Genes in Gastric Cancer

Using Affymetrix U133A oligonucleotide microarrays, screening was done for genes that were differentially expressed in gastric cancer (T) and normal gastric mucosa (C), and their chromosome location was characterized by bioinformatics. A total of 270 genes were found to have a difference in expression levels of more than eight times. Of them 157 were up-regulated (Signal Log Ratio [SLR]≥3), and 113 were down-regulated (SLR≤-3). Except for, four genes with unknown localization, a vast majority of the genes were sporadically distributed over every chromosome. However, chromosome 1 contained the most differentially expressed genes (26 genes, or 9.8%), followed by chromosomes 11 and 19 (both 24 genes, or 9.1%). These genes were also more likely to be on the short-arm of the chromosome (q), which had 173 (65%). When these genes were classified according to their functions, it was found that most (67 genes, 24.8%) belonged to the enzymes and their regulators groups. The next group was the signal transduction genes group (43 genes, 15.9%). The rest of the top three groups were nucleic acid binding genes (17, 6.3%), transporter genes (15, 5.5%), and protein binding genes (12, 4.4%). These made up 56.9% of all the differentially expressed genes. There were also 50 genes of unknown function (18.5%). Therefore it was concluded that differentially expressed genes in gastric cancer seemed to be sporadically distributed across the genome, but most were found on chromosomes 1, 11 and 19. The five groups associated genes abnormality were important genes for further study on gastric cancer.     

Genome-Scale Identification of Cell-Wall-Related Genes in Switchgrass through Comparative Genomics and Computational Analyses of Transcriptomic Data

Large numbers of plant cell-wall (CW)-related genes have been identified or predicted in several plant genomes such as Arabidopsis thaliana, Oryza sativa (rice), and Zea mays (maize), as results of intensive studies of these organisms in the past 2 decades. However, no such gene list has been identified in switchgrass (Panicum virgatum), a key bioenergy crop. Here, we present a computational study for prediction of CW genes in switchgrass using a two-step procedure: (i) homology mapping of all annotated CW genes in the fore-mentioned species to switchgrass, giving rise to a total of 991 genes, and (ii) candidate prediction of CW genes based on switchgrass genes co-expressed with the 991 genes under a large number of experimental conditions. Specifically, our co-expression analyses using the 991 genes as seeds led to the identification of 104 large clusters of co-expressed genes, each referred to as a co-expression module (CEM), covering 830 of the 991 genes plus 823 additional genes that are strongly co-expressed with some of the 104 CEMs. These 1653 genes represent our prediction of CW genes in switchgrass, 112 of which are homologous to predicted CW genes in Arabidopsis. Functional inference of these genes is conducted to derive the possible functional relations among these predicted CW genes. Overall, these data may offer a highly useful information source for cell-wall biologists of switchgrass as well as plants in general.     

Comparison of the Yeast Proteome to Other Fungal Genomes to Find Core Fungal Genes

The purpose of this research was to search for evolutionarily conserved fungal sequences to test the hypothesis that fungi have a set of core genes that are not found in other organisms, as these genes may indicate what makes fungi different from other organisms. By comparing 6355 predicted or known yeast (Saccharomyces cerevisiae) genes to the genomes of 13 other fungi using Standalone TBLASTN at an e-value <1E-5, a list of 3340 yeast genes was obtained with homologs present in at least 12 of 14 fungal genomes. By comparing these common fungal genes to complete genomes of animals (Fugu rubripes, Caenorhabditis elegans), plants (Arabidopsis thaliana, Oryza sativa), and bacteria (Agrobacterium tumefaciens, Xylella fastidiosa), a list of common fungal genes with homologs in these plants, animals, and bacteria was produced (938 genes), as well as a list of exclusively fungal genes without homologs in these other genomes (60 genes). To ensure that the 60 genes were exclusively fungal, these were compared using TBLASTN to the major sequence databases at GenBank: NR (nonredundant), EST (expressed sequence tags), GSS (genome survey sequences), and HTGS (unfinished high-throughput genome sequences). This resulted in 17 yeast genes with homologs in other fungal genomes, but without known homologs in other organisms. These 17 core, fungal genes were not found to differ from other yeast genes in GC content or codon usage patterns. More intensive study is required of these 17 genes and other common fungal genes to discover unique features of fungi compared to other organisms.Reviewing Editor: Prof. David Gottman     

Expressed sequence tags from the zhikong scallop (Chlamys farreri): Discovery and annotation of host-defense genes

A high-quality cDNA library was constructed from whole body tissues of the zhikong scallop, Chlamys farreri, challenged by Listonella anguillarum. A total of 5720 clones were sequenced, yielding 5123 expressed sequence tags (ESTs). Among the 3326 unique genes identified, 2289 (69%) genes had no significant (E-value < 1e?5) matches to known sequences in public databases and 194 (6%) matched proteins of unknown functions. The remaining 843 (25%) genes that exhibited homology with genes of known functions, showed broad involvement in metabolic processes (31%), cell structure and motility (20%), gene and protein expression (12%), cell signaling and cell communication (8%), cell division (4%), and notably, 25% of those genes were related to immune function. They included stress response genes, complement-like genes, proteinase and proteinase inhibitors, immune recognition receptors and immune effectors. The EST collection obtained in this study provides a useful resource for gene discovery and especially for the identification of host-defense genes and systems in scallops and other molluscs.     

Nucleotide sequences of transfer RNA genes in the Pisum sativum chloroplast DNA

Summary Eight transfer RNA (tRNA) genes which were previously mapped to five regions of the Pisum sativum (pea) chloroplast DNA (ctDNA) have been sequenced. They have been identified as tRNA^Val(GAC), tRNA^Asn(GUU), tRNA^Arg(ACG), tRNA^Leu(CAA), tRNA^Tyr(GUA), tRNA^Glu(UUC), tRNA^His(GUG), and tRNA^Arg(UCU) by their anticodons and by their similarity to other previously identified tRNA genes from the chloroplast DNAs of higher plants or from E. gracilis. In addition,two other tRNA genes, tRNA^Gly (UCC) and tRNA^Ile(GAU), have been partially sequenced. The tRNA genes are compared to other known chloroplast tRNA genes from higher plants and are found to be 90–100% homologous. In addition there are similarities in the overall arrangement of the individual genes between different plants. The 5 flanking regions and the internal sequences of tRNA genes have been studied for conserved regions and consensus sequences. Two unusual features have been found: there is an apparent intron in the D-loop of the tRNA^Gly(UCC), and the tRNA^Glu(UUC) contains GATTC in its T-loop.     

Identification of Differentially Expressed Genes in the High and Low Metastatic Human Ovarian Cancer Cell Lines and Analyses of Their Chromosomal Localizations and Functions

Oligonucleotide microarrays were used to study the differences of gene expressions in high (H) and low (L) metastatic ovarian cancer cell lines and in normal ovarian tissues (C). Bioinformatics was used to identify novel genes and their functions as well as chromosomal localizations. A total of 409 genes were differentially expressed between the high and low metastatic ovarian cancer cell lines. Of them, 271 genes were up regulated (Signal Log Ratio[SLR] ≥1), and 138 genes were down regulated (SLR≤-1). Except one gene whose location was unknown, all these genes were localized randomly on all the chromosomes, with a majority of them localized to Chromosomes 1, 6, 2, 17, 3, 5 and 11. Chromosome 1 contained, 43 of them (10.7%), the most for a single chromosome. A total of 264 genes (64.7%) were localized on the short arm of the chromosome (q). Functional classification showed that the 104 (25.4%) genes coding for enzymes and enzyme regulators made up the largest functional group, followed by signal transduction activity genes (43, 10.5%), nucleic acid binding activity genes (42, 10.3%), and proteins binding activity genes (34, 8.3%). These four groups accounted for 54.5% of all the differentially expressed genes. In addition, the functions of 76 genes (18.6%) were unknown. Tumor metastasis is the result of a number of genes acting in concert. The four functional groups of genes classified among these genes and their abnormalities would be the focus of further studies on ovarian cancer metastasis.     

Annotation and analysis of expressed sequence tags (ESTs) from Chinese sturgeon (Acipenser sinensis) pituitary cDNA library

Chinese sturgeon Acipenser sinensis belongs to the family Acipenseridae, an ancient species of actinopterygian fishes. In order to advance molecular research on its reproduction, ontogenetic development, we were seeking for genomic information in the NCBI expressed sequence tag (EST database). We found 3384 indentified cDNA sequences which were assembled into 861 unigenes. Blast analysis revealed 301 unigenes shared high similarity with genes in the public databases, and these were classified into three groups: 202 known genes, 81 putative genes and 8 unknown genes. The remainder (560 genes) had no significant match to any protein sequence. Further, 255 unigenes and 333 unmatched unigenes were annotated with Gene Ontology (GO), which could be classified into cellular component, molecular function, and biological process. Among the known genes, the hormone genes pomc A (proopiomelanocortin), pomc B, GtH alpha I subunit (gonadotropin hormone), GtH alpha II subunit and GH (growth hormone) were present in this library. Comparison of the Chinese sturgeon proteins (GH, GtH alpha subunit and POMC) to proteins of other species showed higher levels of homology among sturgeon species. We performed five hormone related genes including GnRHRI (gonadotropin-releasing hormone receptor I), cpH (carboxypeptidase H), ppiB (peptidylprolyl isomerase B), stmn3 (stathmin-like 3), 7B2 (neuroendocrine protein 7B2), and four novel genes (contig 192, 177, 170 and 168) a semi-quantitative RT-PCR on different tissues from Chinese sturgeon.     

Validation of reference genes for RT-qPCR analysis of CYP4T expression in crucian carp

Reference genes are commonly used for normalization of target gene expression during RT-qPCR analysis. However, no housekeeping genes or reference genes have been identified to be stable across different tissue types or under different experimental conditions. To identify the most suitable reference genes for RT-qPCR analysis of target gene expression in the hepatopancreas of crucian carp (Carassius auratus) under various conditions (sex, age, water temperature, and drug treatments), seven reference genes, including beta actin (ACTB), beta-2 microglobulin (B2M), embryonic elongation factor-1 alpha (EEF1A), glyceraldehyde phosphate dehydrogenase (GAPDH), alpha tubulin (TUBA), ribosomal protein l8 (RPL8) and glucose-6-phosphate dehydrogenase (G6PDH), were evaluated in this study. The stability and ranking of gene expression were analyzed using three different statistical programs: GeNorm, Normfinder and Bestkeeper. The expression errors associated with selection of the genes were assessed by the relative quantity of CYP4T. The results indicated that all the seven genes exhibited variability under the experimental conditions of this research, and the combination of ACTB/TUBA/EEF1A or of ACTB/EEF1A was the best candidate that raised the accuracy of quantitative analysis of gene expression. The findings highlighted the importance of validation of housekeeping genes for research on gene expression under different conditions of experiment and species.     

Identification of estrogen-regulated genes by microarray analysis of the uterus of immature rats exposed to endocrine disrupting chemicals

Environmental estrogenic compounds which bind to the estrogen receptor (ER) can block or alter endogenous functions of estrogen in reproductive and developmental stages. A microarray technology is a very valuable method for the prediction of hormone-responsive activities in various gene expressions. Thus, we investigated the altered gene expression by estrogen and endocrine disruptors (EDs) using microarray technology in the uterus of immature rats. In this study, the expression levels of only 555 genes (7.42%) among the 7636 genes spotted on microarray chips were enhanced by more than two-fold following treatment with estradiol (E2), suggesting that direct or rapid response to E2 is widespread at the mRNA levels in these genes. In addition, elevated expression levels of the genes (over 2-fold) were observed by diethylstilbestrol (DES; 9.01%), octyl-phenol (OP; 8.81%), nonyl-phenol (NP; 9.51%), bisphenol-A (BPA; 8.26%) or genistein (9.97%) in the uterus of immature rats. The expression levels of representative genes, i.e., calbindin-D9k (CaBP-9k; vitamin D-dependent calcium-binding protein), oxytocin, adipocyte complement related protein (MW 30 kDa), lactate dehydrogenase A and calcium binding protein A6 (S100a6; calcyclin), were confirmed in these tissues by real-time PCR. In addition, the mRNA levels of these genes by real-time PCR were increased at follicular phase when E2 level was elevated during estrous cycle of adult female rats. In conclusion, these results indicate distinct altered expression of responsive genes following exposure to E2 and estrogenic compounds, and implicate distinct effects of endogenous E2 and environmental endocrine disrupting chemicals in the uterus of immature rats.     

High frequency conjugal transfer of tylosin genes and amplifiable DNA in Streptomyces fradiae

Summary Genes encoding enzymes for tylosin biosynthesis, genes involved in the expression of resistance to tylosin (Tyl), hygromycin B (Hm), chloramphenicol (Cm), and mitomycin C (MC), and a single copy of an amplifiable unit of DNA (AUD) were jointly transferred at very high frequencies by conjugation from several different Streptomyces fradiae strains to S. fradiae JS85, a mutant defective in many or possibly all tylosin biosynthetic reactions and containing a multiple tandem reiteration of the AUD. No recombination was observed between nar, rif and spc genes in conjugal matings, but recombination was observed between these genes after protoplast fusion. Tylosin biosynthetic genes were transferred at a much lower frequency to S. fradiae JS87, another mutant defective in many or all tylosin biosynthetic reactions, but deleted for the AUD and other DNA sequences. These findings suggest that tylosin structural genes, several genes encoding antibiotic resistance determinants, and amplifiable DNA are present on a self-transmissible element that does not mobilize chromosomal genes, and that JS85 and JS87 contain deletions, and JS85 an amplification, of overlapping portions of this element.     

用基因芯片筛选高转移卵巢癌细胞系转移相关基因

用标准化的Affymetrix公司生产U133A基因芯片技术研究高(H)转移卵巢癌细胞株(HO-8910PM)和正常卵巢上皮(C)基因表达谱差异,筛选与卵巢癌转移相关的基因及其在染色体的定位和功能。结果发现高转移卵巢癌细胞株和正常卵巢上皮比较表达差异8倍以上共有1,237个基因,其中表达上调(信号比的对数值SLR≥3)有597个,表达下调(SLR≤-3)有640个。从表达差异的基因在染色体定位分析,发现除1个基因未知其定位外,其余所有差异表达基因散在分布在各条染色体上,但以1号染色体最多,有115个(9.3%)。其次是2号染色体有94个(7.6%),第三是12号染色体有88个(7.1%)。第四是11号染色体有76个(6.1%)。第五是X染色体有71个(5.7%)。第6是17号染色体有69个(5.6%)。而差异表达的基因发生在染色体短臂(q)上有805个(占65.1%),在13,14,15,21和22号仅发现在q上有差异表达基因。从表达差异的基因分子功能分类看,属于酶和酶调控子基因最多(306个,占24.7%),其次是核酸结合基因(144个,占11.6%)。第三类是信号传导基因(137个,占11.1%)。第四类是蛋白结合基因(116个,占9.4%)。以上4大类共占基因总数56.8%。还有功能未知的基因有207个,占16.7%。结论:高转移卵巢癌细胞株差异表达基因散在分布在各条染色体上,但以1、2、12、11、17和X染色体差异表达基因居多,肿瘤的转移是多基因共同作用的结果。4大类(酶和酶调控子活性、核酸结合活性、信号传导活性、蛋白结合活性)差异表达基因是我们今后研究卵巢癌转移相关的重要基因。     

Design and evaluation of novel primers for the detection of genes encoding diverse enzymes of methylotrophy and autotrophy

The phylogenetic significance of the diversity of key enzymes of methylotrophic and autotrophic metabolism is discussed. Primers for these key enzymes were designed using gene sequences encoding methanol dehydrogenase (mxaF; using subsets from database sequences for 22 Bacteria), hydroxypyruvate reductase (hpr; 36 sequences), methylamine dehydrogenase (mauA; 12 sequences), methanesulfonate monooxygenase (msmA; four sequences), and the ccbL and cbbM genes of ribulose bisphosphate carboxylase (26 and 23 sequences). These were effective in amplifying the correct gene products for the target genes in reference organisms and in test organisms not previously shown to contain the genes, as well as in some methylotrophic Proteobacteria isolated from the human mouth. The availability of the new primers increases the probability of detecting diverse examples of the genes encoding these key enzymes both in natural populations and in isolated bacterial strains.     

Comprehensive analysis of prokaryotic mechanosensation genes: their characteristics in codon usage.

In the present study, we examined GC nucleotide composition, relative synonymous codon usage (RSCU), effective number of codons (ENC), codon adaptation index (CAI) and gene length for 308 prokaryotic mechanosensitive ion channel (MSC) genes from six evolutionary groups: Euryarchaeota, Actinobacteria, Alphaproteobacteria, Betaproteobacteria, Firmicutes, and Gammaproteobacteria. Results showed that: (1) a wide variation of overrepresentation of nucleotides exists in the MSC genes; (2) codon usage bias varies considerably among the MSC genes; (3) both nucleotide constraint and gene length play an important role in shaping codon usage of the bacterial MSC genes; and (4) synonymous codon usage of prokaryotic MSC genes is phylogenetically conserved. Knowledge of codon usage in prokaryotic MSC genes may benefit from the study of the MSC genes in eukaryotes in which few MSC genes have been identified and functionally analysed.     

Screening for differentially methylated genes among human colorectal cancer tissues and normal mucosa by microarray chip

High density DNA methylation microarrays were used to study the differences of gene methylation level in six pairs of colorectal cancer (CRC) and adjacent normal mucosa. We analyzed the profile of methylated genes by NimbleGen Microarray and the biologic functions by NIH-NAVID. In addition, preliminary validation studies were done in six pairs of samples by MSP (methylation-specific PCR). A total of 4,644 genes had a difference in methylation levels. Among them 2,296 were hypermethylated (log2ratio > 1), 2,348 genes were hypomethylated (log2ratio < ?1), in which 293 hypermethylated and 313 hypomethylated genes were unmapped according to the NIH-NAVID. All these genes were randomly distributed on all the chromosomes. However, chromosome 1 contained the most of the hypermethylated genes (232 genes), followed by chromosome 19 (149 genes), chromosome 11 (144 genes), chromosome 2 (141 genes), chromosomes 3 (127 genes). Through the analysis of the statistics, There were 2 hypermethylated/3 hypomethylated genes involved in six pairs of samples simultaneously, followed by 10/14 in five samples, 34/37 in four samples, 101/113 in three samples, 341/377 in two samples, 1,808/1,804 in one sample. According to gene ontology analysis, some physiological processes play important roles in the cell division and the development of tumor, such as apoptosis, DNA repair, immune, cell cycle, cell cycle checkpoint, cell adhesion and invasion etc. Through Preliminary validation, there were two genes (St3gal6, Opcml) in thirty top-ranking genes shown hypermethylated in six pairs of CRC and adjacent normal mucosa. Conclusions High density DNA methylation microarrays is an effective method for screening aberrantly methylated genes in CRC. The methylated genes should be further studied for diagnostic or prognostic markers for CRC.