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New JC virus (JCV) genotypes from papua new guinea and micronesia (type 8 and type 2E) and evolutionary analysis of 32 complete JCV genomes.

The JC virus (JCV) is a ubiquitous human polyomavirus that frequently resides in the kidneys of healthy individuals and is excreted in the urine of a large percentage of the population. Geographic-specific JCV variants, isolated from urine and from brain of progressive multifocal leukoencephalopathy (PML) patients, have been grouped into seven distinct genotypes based on whole genome analysis and by individual polymorphic nucleotides (typing sites) in the VP1 coding region. Mutations in the archetypal regulatory region, sometimes consisting of deletions and/or duplications, are also useful taxonomic characters for further characterizing and subdividing genotypes. Investigation of JCV variation in Papua New Guinea (PNG) revealed three distinct variants called PNG- 1, PNG-2, and PNG-3. These variants exhibited consistent coding region and regulatory region mutations. Evolutionary analysis of 32 complete JCV genomes including six new viral genomes from the western Pacific suggests that the new PNG JCV variants are closely associated with the broad group of Type 2 strains of JCV found throughout Asia, forming a monophyletic group with the Northeast Asian strains (Type 2A). Within the Type 2 clade, however, the PNG JCV variants cluster as two distinct groups and are therefore described here as new JCV genotypes designated Type 2E and Type 8.

Adult↗

Parametric approach to genomic imprinting analysis with applications to Angelman's syndrome.

Genomic imprinting is a mechanism by which only one copy of a gene pair is expressed, and this expression is determined by the parental origin of the copy. The deregulation of imprinted genes has been implicated in a number of human diseases. The Imprinted Gene Catalogue now has more than 200 genes listed, and estimates based on mouse models suggest many more may exist in humans. Therefore, the development of methods to identify such genes is important. In this communication, we present a parametric model-based approach to analyzing arbitrary-sized pedigree data for genomic imprinting. We have modified widely used LINKAGE program to incorporate our proposed approach. In addition, our approach allows for the use of sex-specific recombinations in the analysis, which is of particular importance in a genome-wide analysis for imprinted genes. We compared our imprinting analysis approach to that implemented in the GENEHUNTER-IMPRINT program using simulation studies as well as by analyzing causal genes in Angelman's syndrome families, which are known to be imprinted. These analyses showed that the proposed approach is very powerful for detecting imprinted genes in large pedigrees.

Angelman Syndrome↗

Genome-wide analysis of deoxyribonucleic acid in endometrial cancer using comparative genomic hybridization microarrays.

The aim of this study was to identify amplified oncogenes in endometrial cancer using array-based comparative genomic hybridization (array CGH). Despite its prevalence, the molecular mechanisms of endometrial carcinogenesis are still poorly understood. The selected array CGH allows the simultaneous examination of 58 oncogenes commonly amplified in human cancers and is capable of achieving increased mapping resolution compared with conventional CGH. A subset of 8 specimens from a bank of 60 malignant and normal specimens was selected for array analysis to identify potential genes of interest. TaqMan polymerase chain reaction was carried out on the 60 specimens to examine if aberrations at the genomic level correlated with gene expression and to compare expression in normal and malignant samples. Oncogenes amplified in the endometrial cancers included AR, PIK3CA, MET, HRAS, NRAS, D17S1670, FGFR1, CTSB, RPS6KB1, LAMC2, MYC, PDGFRA, FGF4/FGF3, PAKI, and FGR. Three genes were examined at the messenger RNA level. AR and PIK3CA were higher in normal specimens, and MET was higher in malignant samples, suggesting a role for MET in endometrial cancer. Newer arrays examining more genes and larger sample numbers are necessary to elucidate the carcinogenic pathway in endometrial cancer.

Adenocarcinoma↗

Whole-genome comparative analysis of three phytopathogenic Xylella fastidiosa strains.

Xylella fastidiosa (Xf) causes wilt disease in plants and is responsible for major economic and crop losses globally. Owing to the public importance of this phytopathogen we embarked on a comparative analysis of the complete genome of Xf pv citrus and the partial genomes of two recently sequenced strains of this species: Xf pv almond and Xf pv oleander, which cause leaf scorch in almond and oleander plants, respectively. We report a reanalysis of the previously sequenced Xf 9a5c (CVC, citrus) strain and the two "gapped" Xf genomes revealing ORFs encoding critical functions in pathogenicity and conjugative transfer. Second, a detailed whole-genome functional comparison was based on the three sequenced Xf strains, identifying the unique genes present in each strain, in addition to those shared between strains. Third, an "in silico" cellular reconstruction of these organisms was made, based on a comparison of their core functional subsystems that led to a characterization of their conjugative transfer machinery, identification of potential differences in their adhesion mechanisms, and highlighting of the absence of a classical quorum-sensing mechanism. This study demonstrates the effectiveness of comparative analysis strategies in the interpretation of genomes that are closely related.

Bacterial Proteins↗

Comparative genomic hybridization analysis of adrenocortical tumors.

Comparative genomic hybridization (CGH) is a molecular cytogenetic technique that allows the entire genome of a tumor to be surveyed for gains and losses of DNA copy sequences. A limited number of studies reporting the use of this technique in adult adrenocortical tumors have yielded conflicting results. In this study we performed CGH analysis on 13 malignant, 18 benign, and 1 tumor of indeterminate malignant potential with the aim of identifying genetic loci consistently implicated in the development and progression of adrenocortical tumors. Tissue samples from 32 patients with histologically proven adrenocortical tumors were available for CGH analysis. CGH changes were seen in all cancers, 11 of 18 (61%) adenomas, and the 1 tumor of indeterminate malignant potential. Of the adrenal cancers, the most common gains were seen on chromosomes 5 (46%), 12 (38%), 19 (31%), and 4 (31%). Losses were most frequently seen at 1p (62%), 17p (54%), 22 (38%), 2q (31%), and 11q (31%). Of the benign adenomas, the most common change was gain of 4q (22%). Mann-Whitney analysis showed a highly significant difference between the cancer group (mean changes, 7.6) and the adenoma group (mean changes, 1.1) for the number of observed CGH changes (P < 0.01). Logistic regression analysis showed that the number of CGH changes was highly predictive of tumor type (P < 0.01). This study has identified several chromosomal loci implicated in adrenocortical tumorigenesis. Activation of a protooncogene(s) on chromosome 4 may be an early event, with progression from adenoma to carcinoma involving activation of oncogenes on chromosomes 5 and 12 and inactivation of tumor suppressor genes on chromosome arms 1p and 17p.

Adenoma↗

Structural and functional genomics in domestic animals: the way to understand the phenotype.

Molecular approaches to genome analysis in livestock are reviewed by discussing the contribution of molecular genome analysis to the identification of the genetic variation underlying phenotypic variation (structural genome analysis) and to the definition of the trait-associated and environment-affected gene expression (functional genome analysis) as an important prerequisite to understanding the formation of a phenotype. Aspects of using mapped 'quantitative trait loci' (QTL) or gene variants as well as the identified trait-associated and environment-affected gene expression profile in livestock production are expounded.

Journal Article↗

PYRAMA: an open-source tool for advanced meta-analysis of genome wide association studies.

MOTIVATION: Genome-wide association study (GWAS) meta-analysis tools are essential for integrating summary statistics across multiple cohorts, thereby increasing statistical power and validating genetic associations. Widely cited tools, such as METAL, PLINK, and GWAMA, have facilitated numerous significant discoveries in the field of GWAS. Nevertheless, these tools offer a limited set of meta-analysis methods and typically require users to have prior experience with command-line tools to be executed. RESULTS: We present here PYRAMA, an open-source tool which is designed for meta-analysis of genome wide association studies. This work introduces an easy-to-use software package that includes several meta-analysis methods that are absent in similar software packages. PYRAMA is faster compared to other tools, supports robust methods for analysis and meta-analysis, fixed-effects, random-effects and Bayesian meta-analysis and it is currently the only tool that supports meta-analysis with imputation of summary statistics. It is available both as a standalone tool and as a freely available web server. AVAILABILITY AND IMPLEMENTATION: https://github.com/pbagos/PYRAMA, https://doi.org/10.5281/zenodo.17830449.

Genome-Wide Association Study↗

The organization of DNA sequences in the mouse genome.

Analysis of the organization of nucleotide sequences in mouse genome is carried out on total DNA at different fragment size, reannealed to intermediate value of Cot, by Ag+--Cs2SO4 density gradient centrifugation.--According to nuclease S-1 resistance and kinetic renaturation curves mouse genome appears to be made up of non-repetitive DNA (76% of total DNA), middle repetitive DNA (average repetition frequency 2X10(4) copies, 15% of total DNA), highly repetitive DNA (8% of total DNA) and fold-back DNA (renatured density 1.701 g/ml, 1% of total DNA).--Non-repetitive sequences are intercalated with short middle repetitive sequences. One third of non-repetitive sequences is longer than 4500 nucleotides, another third is long between 1800 and 4500 nucleotides, and the remainder is shorter than 1800 nucleotides.--Middle repetitive sequences are transcribed in vivo. The majority of the transcribed repeated sequences appears to be not linked to the bulk of non-repeated sequences at a DNA size of 1800 nucleotides.--The organization of mouse genome analyzed by Ag+--Cs2SO4 density gradient of reannealed DNA appears to be substantially different than that previously observed in human genome using the same technique.

Animals↗

Integration of tools and resources for display and analysis of genomic data for protozoan parasites.

Centralisation of tools for analysis of genomic data is paramount in ensuring that research is always carried out on the latest currently available data. As such, World Wide Web sites providing a range of online analyses and displays of data can play a crucial role in guaranteeing consistency of in silico work. In this respect, the protozoan parasite research community is served by several resources, either focussing on data and tools for one species or taking a broader view and providing tools for analysis of data from many species, thereby facilitating comparative studies. In this paper, we give a broad overview of the online resources available. We then focus on the GeneDB project, detailing the features and tools currently available through it. Finally, we discuss data curation and its importance in keeping genomic data 'relevant' to the research community.

Animals↗

Analysis of genomic CFTR DNA.

There are numerous methodologies available for the analysis of genomic CFTR DNA. We present here the basic tools to allow a thorough investigation of the CFTR gene, beginning with the identification of potential regulatory regions using DNase I hypersensitive sites, and continuing with methods for the detection of mutations: denaturing High Performance Liquid Chromatography (dHPLC), Single Strand Conformation Polymorphism (SSCP), and allele-specific oligonucleotide (ASO) hybridisation. Also provided is a comprehensive set of PCR primers for the amplification of most regions of the CFTR gene. Full details of the methodologies given are to be found at the European Working Group on CFTR Expression website http://central.igc.gulbenkian.pt/cftr/vr/transcripts.html.

Cystic Fibrosis Transmembrane Conductance Regulato↗

Combined spectral karyotyping, multicolor banding, and microarray comparative genomic hybridization analysis provides a detailed characterization of complex structural chromosomal rearrangements associated with gene amplification in the osteosarcoma cell line MG-63.

The advancement of fluorescence in situ hybridization-based assays has permitted more refined delineation of chromosomal loci involved in complex chromosomal rearrangements (CCRs) and gene amplification. In this detailed molecular cytogenetic analysis, spectral karyotyping (SKY), multicolor banding (mBAND) analysis, and microarray comparative genomic hybridization (CGH) were used to refine the analysis of chromosomes with amplifications and small intrachromosomal rearrangements such as inverted duplications and interstitial deletions present in the osteosarcoma cell line MG-63. SKY analysis has limited resolving power to delineate cryptic chromosomal rearrangements, so mBAND assays were performed for a subset of chromosomes (i.e., 6, 8, 17, and 20). Of the 10 clonal CCRs analyzed in detail with mBAND, 5 were found to have rearrangements between 8q24 and either 6p23 approximately pter or 6p21, with multiple copies of this translocation inserted at various sites in the different chromosomes. In two CCRs, 6p21 and 8q24 generated an alternating pattern of mBAND probe hybridization, indicating the presence of a large coamplified repeat unit within homogeneously staining regions. Microarray CGH analysis demonstrated focal high-level amplification of 8q23 approximately q24, 6p22 approximately pter, and 6p21, in agreement with the pattern of chromosome subband gains identified with mBAND. Thus, sequential SKY, mBAND, and microarray CGH provided a comprehensive description of some of the intricate chromosomal aberrations present in the complex MG-63 karyotype and permitted reconstruction of the fine structure of the genomic rearrangements, thus providing some important mechanistic clues concerning the details of the amplification process in tumors.

Bone Neoplasms↗

Subtractive hybridization, a technique for extraction of DNA sequences distinguishing two closely related genomes: critical analysis.

The present status of genomic DNA subtraction techniques is reviewed. The advantages and disadvantages of the widely-used methods of genome subtraction are discussed. Using the kinetic model of subtractive hybridization developed by us previously (Sverdlov and Ermolaeva, 1993; Sverdlov and Ermolaeva, 1994), the application of genome subtraction to various problems is analyzed. It is concluded that the technique should be further advanced based on subtraction of single-stranded DNAs. This strategy would enable one to efficiently extract target sequences omitting the stage of genome simplification.

Animals↗

The genetic colinearity of rice and other cereals on the basis of genomic sequence analysis.

Small segments of rice genome sequence have been compared with that of the model plant Arabidopsis thaliana and with several closer relatives, including the cereals maize, rice, sorghum, barley and wheat. The rice genome is relatively stable relative to those of other grasses. Nevertheless, comparisons with other cereals have demonstrated that the DNA between cereal genes is highly variable and evolves rapidly. Genic regions have undergone many more small rearrangements than have been revealed by recombinational mapping studies. Tandem gene duplication/deletion is particularly common, but other types of deletions, inversions and translocations also occur. The many thousands of small genic rearrangements within the rice genome complicate but do not negate its use as a model for larger cereal genomes.

Chromosome Walking↗

Functional clues for hypothetical proteins based on genomic context analysis in prokaryotes.

Three integrated genomic context methods were used to annotate uncharacterized proteins in 102 bacterial genomes. Of 7853 orthologous groups with unknown function containing 45,110 proteins, 1738 groups could be linked to functionally associated partners. In many cases, those partners are uncharacterized themselves (hinting at newly identified modules) or have been described in general terms only. However, we were able to assign pathways, cellular processes or physical complexes for 273 groups (encompassing 3624 previously functionally uncharacterized proteins).

Bacterial Proteins↗

Characterization of enterococcal isolates by restriction enzyme analysis of genomic DNA.

A restriction enzyme analysis (REA) of chromosomal DNA for the intra-species characterization of enterococci is reported. The DNA was extracted by a rapid method and digested with the restriction enzyme Sal I to provide a characteristic 'fingerprint' consisting of 10-20 bands in the 1.6-5.0 kb range. One hundred and eighty enterococcal isolates were examined; 5 were type strains, 15 from an out-patient clinic and 160 from a geographically isolated British Antarctic Survey Base. The epidemiologically unrelated out-patient clinic isolates gave readily distinguishable patterns, whereas isolates from the geographically isolated community showed evidence of colonization. This technique provided a highly discriminatory method of isolate characterization for Enterococcus faecalis, E. faecium and E. durans suitable for epidemiological studies. A sample of isolates were probed with 16 + 23 S ribosomal RNA from Escherichia coli. Discrimination between isolates was poorer than with REA, although good correlation was observed between the results of the two techniques.

Antarctic Regions↗

Genome-wide analysis of oral cancer--early results from the Cancer Genome Anatomy Project.

The Cancer Genome Anatomy Project (CGAP) is a large cooperative effort sponsored by the US National Institutes of Health designed to find, catalog and annotate genes that are expressed during cancer development. In the past 2 years, the CGAP has sequenced over 700,000 clones from approximately 140 cDNA libraries, resulting in the identification of over 30,000 new human genes. As a first step in applying this project to oral cancer we entered four cell lines--two from oral cancer, one from primary oral keratinocytes, and one from oral keratinocytes which had been immortalized by human papillomavirus. Libraries of cDNA were made and sequenced and the data were deposited in GenBank. The expressed genes were then identified where possible. The cell lines, and the total number of expressed genes that were cloned from each were: HN3 (oral cancer), 263 genes; HN4 (oral cancer), 550 genes; HN5 (primary keratinocytes), 237 genes; HN6 (immortalized keratinocytes), 408 genes. The total number of different genes that were found was 1160. A total of 38 new genes, of unknown function, were discovered. The data presented here represent a beginning of the application of the CGAP technology to oral cancer. Even though the data are still quite incomplete, they already represent a large quantity of new information and clones of potential utility to the oral cancer community, and provide a glimpse of the data sets to be forthcoming from the Project. It must therefore be expected that there will soon be a large expansion in the volume of data regarding the genetics of oral cancer. Those who study this disease must be prepared to develop new methods of analysis and storage for handling the oncoming volumes of information.

Clone Cells↗

Cloneless genomic DNA analysis: an efficient and simple methods for de novo genomic sequencing projects and gap filling.

The utility of using genomic DNA directly in agarose, i.e. cloneless libraries, in place of large clone libraries, radiation hybrid panels, or chromosome dissection was demonstrated. The advantage of the cloneless library approach is that, in principle, a targeted genomic resource can be developed rapidly for any genomic region using any genomic DNA sample. Here, a human chromosome 20 Not I fragment library was generated by slicing a pulsed field gel lane containing fractionating Not I cleaved DNA from a monosomic hybrid cell line into 2 mm pieces. A reliable PCR method using agarose embedded DNA was developed. InterAlu PCR generated unique patterns of products from adjacent slices (e.g. fractions). Further, the specificity of the interAlu products was demonstrated by FISH analysis and in other hybridization experiments to arrayed interAlu products. STS content mapping was used to order the fractions and also demonstrate the unique content of the library fractions.

Chromosome Mapping↗

Using codon usage to predict genes origin: is the Escherichia coli outer membrane a patchwork of products from different genomes?

Analysis of the codon usage of genes coding for the structural components of the outer membrane in Escherichia coli, is consistent with the requirement for high expression of these genes. Because porins (which constitute the major protein component of the outer membrane), and LPS (which constitute the major outermost constituent of the outer membrane), are synthesized from genes displaying widely different codon usage, it is possible to investigate the origin of the outer membrane. The analysis predicts that the outer membrane might originate from a genome other than the genome coding for the major part of the cell. Such a special origin would explain in structural terms, the likely lethality of porins if they were inadvertently inserted within the inner membrane, giving rise to the Gram-negative bacterial type, having an envelope comprising two membranes, instead of a single cytoplasmic membrane and a murein sacculus.

Bacterial Outer Membrane Proteins↗