DNA methylation of mobile genetic elements in human cancers

Mobile genetic elements are responsible for half of the human genome, creating the host genomic instability or variability through several mechanisms. Two types of abnormal DNA methylation in the genome, hypomethylation and hypermethylation, are associated with cancer progression. Genomic hypermethylation has been most often observed on the CpG islands around gene promoter regions in cancer cells. In contrast, hypomethylation has been observed on mobile genetic elements in the cancer cells. It is recently considered that the hypomethylation of mobile genetic elements may play a biological role in cancer cells along with the DNA hypermethylation on CpG islands. Growing evidence has indicated that mobile genetic elements could be associated with the cancer initiation and progression through the hypomethylation. Here we review the recent progress on the relationship between DNA methylation and mobile genetic elements, focusing on the hypomethylation of LINE-1 and HERV elements in various human cancers and suggest that DNA hypomethylation of mobile genetic elements could have potential to be a new cancer therapy target in the future.     

Detecting copy number variation in the human genome using comparative genomic hybridization

Among human beings, it was once estimated that our genomes were 99.9% genetically identical. While this high level of genetic similarity helps to define us as a species, it is our genetic variation that contributes to our phenotypic diversity. As genomic technologies evolve to provide genome-wide analyses at higher resolution, we are beginning to appreciate that the human genome has a lot more variation than was once thought. Array-based comparative genomic hybridization (CGH) is one of these technologies that has recently revealed a newly appreciated type of genetic variation: copy number variation, in which thousands of regions of the human genome are now known to be variable in number between individuals. Some of these copy number variable regions have already been shown to predispose to certain common diseases, and others may ultimately have a significant impact on how each of us reacts to certain foods (e.g., allergic reactions), medications (e.g., pharmacogenomics), microscopic infections (i.e., immunity), and other aspects of our ever-changing environment.     

The Impact of Genomic Prof ling for Novel Cancer Therapy–Recent Progress in Non-Small Cell Lung Cancer

There is high expectation for significant improvements in cancer patient care after completion of the human genome project in 2003.Through pains-taking analyses of genomic profiles in cancer patients,a number of targetable gene alterations have been discovered,with some leading to novel therapies,such as activating mutations of EGFR,BRAF and ALK gene fusions.As a result,clinical management of cancer through targeted therapy has finally become a reality for a subset of cancers,such as lung adenocarcinomas and melanomas.In this review,we summarize how gene mutation discovery leads to new treatment strategies using non-small cell lung cancer(NSCLC)as an example.We also discuss possible future implications of cancer genome analyses.     

RecQ helicases and topoisomerases: implications for genome stability in humans

In recent years growing evidence has suggested that the RecQ helicases play a crucial role in preserving genome stability. The importance of this observation in humans is substantiated by the fact that the absence of a functional RecQ helicase is associated with genetic syndromes characterised by elevated predisposition to a wide variety of cancers. It is well recognized that maintenance of genome integrity relies on the accurate execution of the DNA replication process as well as on efficient DNA repair. A number of studies have described interactions of RecQ helicases with topoisomerases and it has been proposed that this cooperation may be essential for cell viability and the avoidance of cancer development in human cells.     

Quantitative Genetics in the Genomics Era

The genetic analysis of quantitative or complex traits has been based mainly on statistical quantities such as genetic variances and heritability. These analyses continue to be developed, for example in studies of natural populations. Genomic methods are having an impact on progress and prospects. Actual relationships of individuals can be estimated enabling novel quantitative analyses. Increasing precision of linkage mapping is feasible with dense marker panels and designed stocks allowing multiple generations of recombination, and large SNP panels enable the use of genome wide association analysis utilising historical recombination. Whilst such analyses are identifying many loci for disease genes and traits such as height, typically each individually contributes a small amount of the variation. Only by fitting all SNPs without regard to significance can a high proportion be accounted for, so a classical polygenic model with near infinitesimally small effects remains a useful one. Theory indicates that a high proportion of variants will have low minor allele frequency, making detection difficult. Genomic selection, based on simultaneously fitting very dense markers and incorporating these with phenotypic data in breeding value prediction is revolutionising breeding programmes in agriculture and has a major potential role in human disease prediction.     

Digital karyotyping: an update of its applications in cancer

DNA copy number alterations, including entire chromosomal changes and small interstitial DNA amplifications and deletions, characterize the development of cancer. These changes usually affect the expression of target genes and subsequently the function of the target proteins. Since the completion of the human genome project, the capacity to comprehensively analyze the human cancer genome has expanded significantly. Techniques such as digital karyotyping have been developed to allow for the detection of DNA copy number alterations in cancer at the whole-genome scale. When compared with conventional methods such as spectral karyotyping, representational difference analysis, comparative genomic hybridization (CGH), or the more recent array CGH; digital karyotyping provides an evaluation of copy number of genetic material at higher resolution. Digital karyotyping has therefore promised to enhance our understanding of the cancer genome. This article provides an overview of digital karyotyping including the principle of the technology and its applications in identifying potential oncogenes and tumor suppressor genes.     

Polymorphic NumtS trace human population relationships

The human genome is constantly subjected to evolutionary forces which shape its architecture. Insertions of mitochondrial DNA sequences into nuclear genome (NumtS) have been described in several eukaryotic species, including Homo sapiens and other primates. The ongoing process of the generation of NumtS has made them valuable markers in primate phylogenetic studies, as well as potentially informative loci for reconstructing the genetic history of modern humans. Here, we report the identification of 53 human-specific NumtS by inspection of the UCSC genome browser, showing that they may be direct insertions of mitochondrial DNA into the human nuclear DNA after the human-chimpanzee split. In silico analyses allowed us to identify 14 NumtS which are polymorphic in terms of their presence/absence within the human genome in individuals of different ancestry. The allele frequencies of these polymorphic NumtS were calculated for 1000 Genomes Project sequence data from 13 populations worldwide, and principal components analysis and hierarchical clustering methods allowed the detection of strong signals of geographical structure related to the genetic diversity of these loci. All identified polymorphic human-specific NumtS together with a tandemly duplicated NumtS have also been validated by PCR amplification on a panel of 60 samples belonging to five native populations worldwide, confirming the expected NumtS variability. On the basis of these findings, we have succeeded in depicting the landscape of variation of a series of NumtS in several ethnic groups, making an advance in their identification as useful markers in the study on human population genetics.     

The application of gene co-expression network reconstruction based on CNVs and gene expression microarray data in breast cancer

Copy number variations (CNVs) are one type of the human genetic variations and are pervasive in the human genome. It has been confirmed that they can play a causal role in complex diseases. Previous studies of CNVs focused more on identifying the disease-specific CNV regions or candidate genes on these CNV regions, but less on the synergistic actions between genes on CNV regions and other genes. Our research combined the CNVs with related gene co-expression to reconstruct gene co-expression network by using single nucleotide polymorphism microarray datasets and gene microarray datasets of breast cancer, and then extracted the modules which connected densely inside and analyzed the functions of modules. Interestingly, all of these modules’ functions were related to breast cancer according to our enrichment analysis, and most of the genes in these modules have been reported to be involved in breast cancer. Our findings suggested that integrating CNVs and gene co-expressed relations was an available way to analyze the roles of CNV genes and their synergistic genes in breast cancer, and provided a novel insight into the pathological mechanism of breast cancer.     

Mitochondrial DNA haplogroup analysis reveals no association between the common genetic lineages and prostate cancer in the Korean population

Mitochondrial DNA (mtDNA) variation has recently been suggested to have an association with various cancers, including prostate cancer risk, in human populations. Since mtDNA is haploid and lacks recombination, specific mutations in the mtDNA genome associated with human diseases arise and remain in particular genetic backgrounds referred to as haplogroups. To assess the possible contribution of mtDNA haplogroup-specific mutations to the occurrence of prostate cancer, we have therefore performed a population-based study of a prostate cancer cases and corresponding controls from the Korean population. No statistically significant difference in the distribution of mtDNA haplogroup frequencies was observed between the case and control groups of Koreans. Thus, our data imply that specific mtDNA mutations/lineages did not appear to have a significant effect on a predisposition to prostate cancer in the Korean population, although larger sample sizes are necessary to validate our results.     

Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates,Based on Synteny Comparison across Multiple Genomes

Whole genome duplications (WGD) have now been firmly established in all major eukaryotic kingdoms. In particular, all vertebrates descend from two rounds of WGDs, that occurred in their jawless ancestor some 500 MY ago. Paralogs retained from WGD, also coined ‘ohnologs’ after Susumu Ohno, have been shown to be typically associated with development, signaling and gene regulation. Ohnologs, which amount to about 20 to 35% of genes in the human genome, have also been shown to be prone to dominant deleterious mutations and frequently implicated in cancer and genetic diseases. Hence, identifying ohnologs is central to better understand the evolution of vertebrates and their susceptibility to genetic diseases. Early computational analyses to identify vertebrate ohnologs relied on content-based synteny comparisons between the human genome and a single invertebrate outgroup genome or within the human genome itself. These approaches are thus limited by lineage specific rearrangements in individual genomes. We report, in this study, the identification of vertebrate ohnologs based on the quantitative assessment and integration of synteny conservation between six amniote vertebrates and six invertebrate outgroups. Such a synteny comparison across multiple genomes is shown to enhance the statistical power of ohnolog identification in vertebrates compared to earlier approaches, by overcoming lineage specific genome rearrangements. Ohnolog gene families can be browsed and downloaded for three statistical confidence levels or recompiled for specific, user-defined, significance criteria at http://ohnologs.curie.fr/. In the light of the importance of WGD on the genetic makeup of vertebrates, our analysis provides a useful resource for researchers interested in gaining further insights on vertebrate evolution and genetic diseases.     

The genomics of Acinetobacter baumannii: insights into genome plasticity, antimicrobial resistance and pathogenicity

The genome sequences of a number of Acinetobacter baumannii strains, including representatives of the main epidemic international lineages, have now been determined, and several others are in progress. The study of A. baumannii genomics has provided an expanded view of the adaptation and virulence capacities of this bacterial species, whilst also presenting novel insights into its intraspecies diversity and genome evolution. Genomic analyses have revealed that the current A. baumannii clinical population consists of low-grade pathogens, whose pathogenicity relies mainly on an ability to persist in the hospital setting and survive antibiotic treatment. A. baumannii has a high capacity to acquire new genetic determinants and displays an open pan genome; this feature may have played a crucial role in the evolution of this human opportunistic pathogen towards clinical success.     

Treatment of human disease by adeno-associated viral gene transfer

During the past decade, in vivo administration of viral gene transfer vectors for treatment of numerous human diseases has been brought from bench to bedside in the form of clinical trials, mostly aimed at establishing the safety of the protocol. In preclinical studies in animal models of human disease, adeno-associated viral (AAV) vectors have emerged as a favored gene transfer system for this approach. These vectors are derived from a replication-deficient, non-pathogenic parvovirus with a single-stranded DNA genome. Efficient gene transfer to numerous target cells and tissues has been described. AAV is particularly efficient in transduction of non-dividing cells, and the vector genome persists predominantly in episomal forms. Substantial correction, and in some instances complete cure, of genetic disease has been obtained in animal models of hemophilia, lysosomal storage disorders, retinal diseases, disorders of the central nervous system, and other diseases. Therapeutic expression often lasted for months to years. Treatments of genetic disorders, cancer, and other acquired diseases are summarized in this review. Vector development, results in animals, early clinical experience, as well as potential hurdles and challenges are discussed.     

环境、基因组与肿瘤

肿瘤是当前危害人类健康最严重的疾病之一。从某种程度上说,它是一种遗传性疾病,然而在肿瘤发生、发展的多个阶段里,环境因素及其它非遗传性因素也起到了明显的作用。现在认为单纯遗传因素仅能解释大约5%的肿瘤的发病机制,而大部分肿瘤的发病机制归因于外界环境因素与遗传性、获得性肿瘤易感性之间的协同作用。值得注意的是,部分肿瘤易感性来自人类基因组的多样性。因此,环境、人类基因组及肿瘤三者之间有密不可分的关系。综合所有来自流行病学和实验室研究的信息,净化环境、给予高危人群特殊的保护,将会逐渐降低肿瘤的发病率。 Abstract：Cancer is one of the most serious diseases that thre aten human being today.To some degree,it is a genetic disease but environmental and other nongenetic factors clearly play a role in many stages of neoplastic pr ocess.Genetic factors by themselves are thought to explain only about 5% of all cancer.The remainder can be attributed to external,“environment” factors that act in conjunction with both genetic and acquired susceptibility.Of note,part of the susceptibility is owing to the variety of human genome.So,environment,human genome and cancer have much to do with each other.Combining all of the informat ion from epidemiology and from research works in laboratory with policy-making and clinical works,purifying the environment,giving special protection to the po pulation at high risk,the mobility of cancer may decrease gradually in the future.     

Lesions in DNA: hurdles for polymerases

Translesion synthesis (TLS) is one of the DNA damage tolerance strategies, which have evolved to enable organisms to replicate their genome despite the presence of unrepaired damage. The process of TLS has the propensity to produce mutations, a potential origin of cancer, and is therefore of medical interest. Significant progress in our understanding of TLS has come primarily from studies of the bacterium Escherichia coli, the budding yeast Saccharomyces cerevisiae and, more recently, human cells. Results from these analyses indicate that the fundamental mechanism of TLS and the proteins involved have been conserved throughout evolution from bacteria to humans.     

Genetic and epigenetic heterogeneity in cancer: A genome‐centric perspective

Genetic and epigenetic heterogeneity (the main form of non‐genetic heterogeneity) are key elements in cancer progression and drug resistance, as they provide needed population diversity, complexity, and robustness. Despite drastically increased evidence of multiple levels of heterogeneity in cancer, the general approach has been to eliminate the “noise” of heterogeneity to establish genetic and epigenetic patterns. In particular, the appreciation of new types of epigenetic regulation like non‐coding RNA, have led to the hope of solving the mystery of cancer that the current genetic theories seem to be unable to achieve. In this mini‐review, we have briefly analyzed a number of mis‐conceptions regarding cancer heterogeneity, followed by the re‐evaluation of cancer heterogeneity within a framework of the genome‐centric concept of evolution. The analysis of the relationship between gene, epigenetic and genome level heterogeneity, and the challenges of measuring heterogeneity among multiple levels have been discussed. Further, we propose that measuring genome level heterogeneity represents an effective strategy in the study of cancer and other types of complex diseases, as emphasis on the pattern of system evolution rather than specific pathways provides a global and synthetic approach. Compared to the degree of heterogeneity, individual molecular pathways will have limited predictability during stochastic cancer evolution where genome dynamics (reflected by karyotypic heterogeneity) will dominate. J. Cell. Physiol. 220: 538–547, 2009. © 2009 Wiley‐Liss, Inc.     

Genome wide functional genetics in haploid cells

Some organisms such as yeast or males of social insects are haploid, i.e. they carry a single set of chromosomes, while haploidy in mammals is exclusively restricted to mature germ cells. A single copy of the genome provides the basis for genetic analyses where any recessive mutation of essential genes will show a clear phenotype due to the absence of a second gene copy. Most prominently, haploidy in yeast has been utilized for recessive genetic screens that have markedly contributed to our understanding of development, basic physiology, and disease. Somatic mammalian cells carry two copies of chromosomes (diploidy) that obscure genetic analysis. Near haploid human leukemic cells however have been developed as a high throughput screening tool. Although deemed impossible, we and others have generated mammalian haploid embryonic stem cells from parthenogenetic mouse embryos. Haploid stem cells open the possibility of combining the power of a haploid genome with pluripotency of embryonic stem cells to uncover fundamental biological processes in defined cell types at a genomic scale. Haploid genetics has thus become a powerful alternative to RNAi or CRISPR based screens.     

Genetic control of susceptibility to bacterial infections in mouse models

Historically, the laboratory mouse (Mus musculus) has been the experimental model of choice to study pathophysiology of infection with bacterial pathogens, including natural and acquired host defence mechanisms. Inbred mouse strains differ significantly in their degree of susceptibility to infection with various human pathogens such as Mycobacterium, Salmonella, Legionella and many others. Segregation analyses and linkage studies have indicated that some of these differences are under simple genetic control whereas others behave as complex traits. Major advances in genome technologies have greatly facilitated positional cloning of single gene effects. Thus, a number of genes playing a key role in initial susceptibility, progression and outcome of infection have been uncovered and the functional characterization of the encoded proteins has provided new insight into the molecular basis of antimicrobial defences of polymorphonuclear leukocytes, macrophages, as well as T and B lymphocytes. The multigenic control of susceptibility to infection with certain human pathogens is beginning to be characterized by quantitative trait locus mapping in genome wide scans. This review summarizes recent progress on the mapping, cloning and characterization of genes and proteins that affect susceptibility to infection with major intracellular bacterial pathogens.     

The mitochondrial genome is a "genetic sanctuary" during the oncogenic process

Since Otto Warburg linked mitochondrial physiology and oncogenesis in the 1930s, a number of studies have focused on the analysis of the genetic basis for the presence of aerobic glycolysis in cancer cells. However, little or no evidence exists today to indicate that mtDNA mutations are directly responsible for the initiation of tumor onset. Based on a model of gliomagenesis in the mouse, we aimed to explore whether or not mtDNA mutations are associated with the initiation of tumor formation, maintenance and aggressiveness. We reproduced the different molecular events that lead from tumor initiation to progression in the mouse glioma. In human gliomas, most of the genetic alterations that have been previously identified result in the aberrant activation of different signaling pathways and deregulation of the cell cycle. Our data indicates that mitochondrial dysfunction is associated with reactive oxygen species (ROS) generation, leading to increased nuclear DNA (nDNA) mutagenesis, but maintaining the integrity of the mitochondrial genome. In addition, mutational stability has been observed in entire mtDNA of human gliomas; this is in full agreement with the results obtained in the cancer mouse model. We use this model as a paradigm of oncogenic transformation due to the fact that mutations commonly found in gliomas appear to be the most common molecular alterations leading to tumor development in most types of human cancer. Our results indicate that the mtDNA genome is kept by the cell as a "genetic sanctuary" during tumor development in the mouse and humans. This is compatible with the hypothesis that the mtDNA molecule plays an essential role in the control of the cellular adaptive survival response to tumor-induced oxidative stress. The integrity of mtDNA seems to be a necessary element for responding to the increased ROS production associated with the oncogenic process.     

Gene conversion: mechanisms, evolution and human disease

Gene conversion, one of the two mechanisms of homologous recombination, involves the unidirectional transfer of genetic material from a 'donor' sequence to a highly homologous 'acceptor'. Considerable progress has been made in understanding the molecular mechanisms that underlie gene conversion, its formative role in human genome evolution and its implications for human inherited disease. Here we assess current thinking about how gene conversion occurs, explore the key part it has played in fashioning extant human genes, and carry out a meta-analysis of gene-conversion events that are known to have caused human genetic disease.