Flies and their golden apples: the effect of dietary restriction on Drosophila aging and age-dependent gene expression

Reduced nutrient availability (dietary restriction) extends lifespan in species as diverse as yeast, nematode worms, Daphnia, Drosophila, and mammals. Recent demographic experiments have shown that moderate nutrient manipulation in adult Drosophila affects current mortality rate in a completely reversible manner, which suggests that dietary restriction in Drosophila increases lifespan through a reduction of the current risk of death rather than a slowing of aging-related damage. When examined in the light of the new demographic data, age-dependent changes in gene expression in normal and diet-restricted flies can provide unique insight into the biological processes affected by aging and may help identify molecular pathways that regulate it.     

Meta-analysis of gene expression in the mouse liver reveals biomarkers associated with inflammation increased early during aging

Aging is associated with a loss of cellular homeostasis, a decline in physiological function and an increase in various pathologies. Employing a meta-analysis, hepatic gene expression profiles from four independent mouse aging studies were interrogated. There was little overlap in the number of genes or canonical pathways perturbed, suggesting that independent study-specific factors may play a significant role in determining age-dependent gene expression. However, 43 genes were consistently altered during aging in three or four of these studies, including those that (1) exhibited progressively increased expression starting from 12 months of age, (2) exhibited similar expression changes in models of progeria at young ages and dampened or no changes in old longevity mouse models, (3) were associated with inflammatory tertiary lymphoid neogenesis (TLN) associated with formation of ectopic lymphoid structures observed in chronically inflamed tissues, and (4) overlapped with genes perturbed by aging in brain, muscle, and lung. Surprisingly, around half of the genes altered by aging in wild-type mice exhibited similar expression changes in adult long-lived mice compared to wild-type controls, including those associated with intermediary metabolism and feminization of the male-dependent gene expression pattern. Genes unique to aging in wild-type mice included those linked to TLN.     

胃癌基因表达谱的cDNA微阵列与聚类分析

目的 分析胃癌与非肿瘤胃组织中基因表达特征，探讨其生物学意义。方法 提取18例进展期胃癌患者术前未行治疗的新鲜肿瘤和非肿瘤胃组织总RNA，逆转录标记cy5和cy3制备cDNA探针，与148个基因组成的cDNA微阵列杂交，应用平均联接等级聚类和微阵列数据显著差异分析(significance analysis of microarrays，SAM)方法分析146个符合入选条件基因的实验数据。结果 胃癌与非肿瘤胃组织各被聚为一类，胃癌和非肿瘤胃组织又分别聚为两个亚类。基因在两种组织表达有3个特征，明显基因表达差异表现在特征B和特征C．特征B基因在胃癌组织呈低表达或不表达，特征C基因在胃癌组织呈高表达。在特征A，T2-S2亚类与T1和T2-S1亚类的基因表达存在差异性，然而13例患者的配对胃癌与非肿瘤胃组织有相似基因表达。结合SAM分析，从特征B和特征C分别检出19个和12个在两种组织间呈差异性表达基因。结论 cDNA微阵列实验结果客观地反映了胃癌和非肿瘤胃组织的基因表达特征，可以将胃癌与非肿瘤胃组织各聚为一类．胃癌组织之间基因表达既有相似性，又有异质性，反映了胃癌基因表达变异的复杂性．应用cDNA微阵列技术研究胃癌基因差异性表达特征，有助于阐明胃癌发生、发展的分子基础，为胃癌早期诊断和预后评估的生物标记物研究提供科学依据．     

Trimethylation of Lys36 on H3 restricts gene expression change during aging and impacts life span

Functional data indicate that specific histone modification enzymes can be key to longevity in Caenorhabditis elegans, but the molecular basis of how chromatin structure modulates longevity is not well understood. In this study, we profiled the genome-wide pattern of trimethylation of Lys36 on histone 3 (H3K36me3) in the somatic cells of young and old Caenorhabditis elegans. We revealed a new role of H3K36me3 in maintaining gene expression stability through aging with important consequences on longevity. We found that genes with dramatic expression change during aging are marked with low or even undetectable levels of H3K36me3 in their gene bodies irrespective of their corresponding mRNA abundance. Interestingly, 3′ untranslated region (UTR) length strongly correlates with H3K36me3 levels and age-dependent mRNA expression stability. A similar negative correlation between H3K36me3 marking and mRNA expression change during aging was also observed in Drosophila melanogaster, suggesting a conserved mechanism for H3K36me3 in suppressing age-dependent mRNA expression change. Importantly, inactivation of the methyltransferase met-1 resulted in a decrease in global H3K36me3 marks, an increase in mRNA expression change with age, and a shortened life span, suggesting a causative role of the H3K36me3 marking in modulating age-dependent gene expression stability and longevity.     

Computationally analyzing the possible biological function of YJL103C--an ORF potentially involved in the regulation of energy process in yeast

Although the complete genomes of a number of organisms have been sequenced, the biological functions of many genes are still not known. Because experimentally studying the functions of those genes one by one requires tremendous time, it is vital to use published resources like microarray gene expression data for computational analysis of gene functions. One example is YJL103C, a yeast gene of unknown function in the Saccharomyces Genome Database (SGD). It is possible to quickly infer its biological function by computational analysis. In this study, we present an efficient model to explore the biological function of a novel gene using microarray data. We showed that the expression pattern of YJL103C is most similar to the genes in the energy group and respiratory chain subgroup. We further found that YJL103C contains a HAP2,3,4 box in its promoter region and a cytochrome C heme-binding signature in its protein sequence. Our findings define a potential role for YJL103C in the regulation of energy metabolism, specifically in the process of oxidative phosphorylation. Similar bioinformatics methods can be applied to infer the biological functions of other novel genes in organisms for which microarray data are available. In this work, we selected a single gene of unknown function as a case study. By focusing on the power of computer analysis and bioinformatics on the available microarray data, we have determined the likely biological function of YJL103C. Our study provides a method by which to explore the potential function of other genes currently annotated as having an unknown function in any organism for which global gene expression data are available.     

Exploring the genomic basis of pharmacoresistance in epilepsy: an integrative analysis of large-scale gene expression profiling studies on brain tissue from epilepsy surgery

Some patients with pharmacoresistant epilepsy undergo therapeutic resection of the epileptic focus. At least 12 large-scale microarray studies on brain tissue from epilepsy surgery have been published over the last 10 years, but they have failed to make a significant impact upon our understanding of pharmacoresistance, because (1) doubts have been raised about their reproducibility, (2) only a small number of the gene expression changes found in each microarray study have been independently validated and (3) the results of different studies have not been integrated to give a coherent picture of the genetic changes involved in epilepsy pharmacoresistance. To overcome these limitations, we (1) assessed the reproducibility of the microarray studies by calculating the overlap between lists of differentially regulated genes from pairs of microarray studies and determining if this was greater than would be expected by chance alone, (2) used an inter-study cross-validation technique to simultaneously verify the expression changes of large numbers of genes and (3) used the combined results of the different microarray studies to perform an integrative analysis based on enriched gene ontology terms, networks and pathways. Using this approach, we respectively (1) demonstrate that there are statistically significant overlaps between the gene expression changes in different publications, (2) verify the differential expression of 233 genes and (3) identify the biological processes, networks and genes likely to be most important in the development of pharmacoresistant epilepsy. Our analysis provides novel biologically plausible candidate genes and pathways which warrant further investigation to assess their causal relevance.     

Changes in gene expression associated with aging commonly originate during juvenile growth

In mammals, proliferation is rapid in many tissues during early postnatal life, causing rapid somatic growth. This robust proliferation is then suppressed as the animal approaches adult size, bringing many tissues to a quiescent state where proliferation occurs only as needed to replace dying cells. Recent evidence suggests that the mechanism responsible for this decline in proliferation involves a multi-organ genetic program. We hypothesized that this genetic program continues to progress into later adult life, eventually suppressing proliferation to levels below those needed for tissue renewal, thus contributing to aging. We therefore used expression microarray to compare the temporal changes in gene expression that occur in adult mouse organs during aging to those occurring as juvenile proliferation slows. We found that many of the changes in gene expression that occur during the aging process originate during the period of juvenile growth deceleration. Bioinformatic analyses of the genes that show persistent decline in expression throughout postnatal life indicated that cell-cycle-related genes are strongly over-represented. Thus, the findings support the hypothesis that the genetic program that slows juvenile growth to limit body size persists into adulthood and thus may eventually hamper tissue maintenance and repair, contributing to the aging process.