Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genome analysis”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources

Parasite genome analysis. Genome research in Trypanosoma brucei: chromosome size polymorphism and its relevance to genome mapping and analysis.

Before the development of pulsed field gel electrophoresis (PFGE), little was known of the chromosomal organization of Trypanosoma brucei. This technique first revealed that the nuclear genome was subdivided into distinct size classes of chromosomes, subsequently shown to have disparate genetic roles in the life cycle of the parasite. PFGE also facilitated the determination of chromosome ploidy and the observation that apparent homologues often differed significantly in size within and between isolates. While the biological reasons underlying this plasticity may prove very interesting, nevertheless it could pose real problems for the global analysis of the T. brucei genome. Therefore, before undertaking large scale physical mapping, it is necessary to determine the number and size of chromosomes in the reference stock; to compare these to the chromosomes of other stocks to determine the relative sizes of homologues; and to investigate the deoxyribonucleic acid content of the size of polymorphic regions in order to assess how these may affect the execution of a physical mapping programme.

Animals↗

Towards a universal group B Streptococcus vaccine using multistrain genome analysis.

Genomics has revolutionized the way in which novel vaccine candidates are identified for the development of efficacious vaccines. Reverse vaccinology, whereby all candidates of interest are identified by analysis of a pathogen's genome, enables characterization of many candidates simultaneously. It accelerates the initial steps of vaccine development and greatly increases the chances of obtaining reliable candidates or cocktails thereof. The availability of one or two genome sequences for any given pathogen provides access to strain-specific vaccine candidates but often fails to identify candidates that would confer general protection. The analysis of multiple genomes of group B Streptococcus revealed tremendous diversity and identified candidates that are not shared by all the strains sequenced, but provide general protection when combined.

Drug Design↗

[An introduction of several programs used in genomic analysis].

Genomics is a novel subject that has been developed accompanying with the progress of human genome project. Genomics deals with the chemistry component, structure organization and evolution of genome at global level. As genomics associated with huge data, bioinformatics plays an important role in these processes of data production, data management and data mining. At present, many reliable programs have been used in genomic research successfully, which are usually accessible and downloaded freely. We address here the principles of some programs used wildly in genomics such as sequence alignment, sequence assembly, repeat identification and gene prediction, which are exemplified with typical programs respectively.

English Abstract↗

The next generation of literature analysis: integration of genomic analysis into text mining.

Text-mining systems are indispensable tools to reduce the increasing flux of information in scientific literature to topics pertinent to a particular interest in focus. Most of the scientific literature is published as unstructured free text, complicating the development of data processing tools, which rely on structured information. To overcome the problems of free text analysis, structured, hand-curated information derived from literature is integrated in text-mining systems to improve precision and recall. In this paper several text-mining approaches are reviewed and the next step in development of text-mining systems, which is based on a concept of multiple lines of evidence, is described: results from literature analysis are combined with evidence from experiments and genome analysis to improve the accuracy of results and to generate additional knowledge beyond what is known solely from literature.

Abstracting and Indexing↗

Development of a targeted transgenesis strategy in highly differentiated cells: a powerful tool for functional genomic analysis.

Functional genomic analysis is a challenging step in the so-called post-genomic field. Identification of potential targets using large-scale gene expression analysis requires functional validation to identify those that are physiologically relevant. Genetically modified cell models are often used for this purpose allowing up- or down-expression of selected targets in a well-defined and if possible highly differentiated cell type. However, the generation of such models remains time-consuming and expensive. In order to alleviate this step, we developed a strategy aimed at the rapid and efficient generation of genetically modified cell lines with conditional, inducible expression of various target genes. Efficient knock-in of various constructs, called targeted transgenesis, in a locus selected for its permissibility to the tet inducible system, was obtained through the stimulation of site-specific homologous recombination by the meganuclease I-SceI. Our results demonstrate that targeted transgenesis in a reference inducible locus greatly facilitated the functional analysis of the selected recombinant cells. The efficient screening strategy we have designed makes possible automation of the transfection and selection steps. Furthermore, this strategy could be applied to a variety of highly differentiated cells.

Animals↗

Comprehensive genome analysis of 203 genomes provides structural genomics with new insights into protein family space.

We present an analysis of 203 completed genomes in the Gene3D resource (including 17 eukaryotes), which demonstrates that the number of protein families is continually expanding over time and that singleton-sequences appear to be an intrinsic part of the genomes. A significant proportion of the proteomes can be assigned to fewer than 6000 well-characterized domain families with the remaining domain-like regions belonging to a much larger number of small uncharacterized families that are largely species specific. Our comprehensive domain annotation of 203 genomes enables us to provide more accurate estimates of the number of multi-domain proteins found in the three kingdoms of life than previous calculations. We find that 67% of eukaryotic sequences are multi-domain compared with 56% of sequences in prokaryotes. By measuring the domain coverage of genome sequences, we show that the structural genomics initiatives should aim to provide structures for less than a thousand structurally uncharacterized Pfam families to achieve reasonable structural annotation of the genomes. However, in large families, additional structures should be determined as these would reveal more about the evolution of the family and enable a greater understanding of how function evolves.

Algorithms↗

Differential genome analysis of bacteria by genomic subtractive hybridization and pulsed field gel electrophoresis.

A comprehensive analysis of the differences between the genomes of two closely related bacterial strains should give insight into the molecular basis of their individual phenotypic and genotypic characteristics. Here we present an integrative approach including two different strategies for the thorough investigation of genomic divergence. We have combined two techniques including genomic subtractive hybridization and comparative genome mapping by pulsed field gel electrophoresis (PFGE) techniques. The subtractive method for which a protocol is given herein results in the production of a library of specific DNA sequence tags present only in one strain, while the construction of macrorestriction maps of the bacterial chromosomes yields data about the overall genome organization and the arrangement and distance of gene loci. Comparison of the physical and genetic maps and determination of the map positions of the strain-specific DNA sequences reveals gross chromosomal modifications, insertions or deletions of additional genetic material, and transpositional events. The further investigation of the strain-specific regions yields information about the nature and origin of the acquired DNA and their influence on the evolution of the individual bacterial genome. The two methods were applied to differential genome analysis of clonal divergence in Pseudomonas aeruginosa choosing two clone C isolates from diverse habitats.

Chromosomes, Bacterial↗

An automated system for genome analysis to support microbial whole-genome shotgun sequencing.

We developed a semi-automated genome analysis system called GAMBLER in order to support the current whole-genome sequencing project focusing on alkaliphilic Bacillus halodurans C-125. GAMBLER was designed to reduce the human intervention required and to reduce the complications in annotating thousands of ORFs in the microbial genome. GAMBLER automates three major routines: analyzing assembly results provided by genome assembler software, assigning ORFs, and homology searching. GAMBLER is equipped with an interface for convenience of annotation. All processes and options are manipulatable through a WWW browser that enables scientists to share their genome analysis results without choosing computer platforms.

Automation↗

Parasite genome analysis. Progress in the Leishmania genome project.

Genome projects have been established for 7 major groups of human parasitic infections: malaria, leishmaniasis, African trypanosomiasis, American trypanosomiasis, toxoplasmosis, schistosomiasis and filariasis. All except malaria and toxoplasmosis have come under the umbrella of the World Health Organization's Strategic Committee on Parasite Genome Analysis. The focus of this meeting of the Society was to review progress made in the Leishmania and African trypanosome genome projects. This paper introduces the genome projects and reviews briefly progress in pulsed-field gel karyotype mapping and gene identification via expressed sequence tag sequencing for the leishmaniasis genome project. The overall aim of the genome projects is to harness the latest developments in molecular genetic technology and sequence analysis for the rapid-generation of new data which may, in turn, revolutionize our approaches to the study of the biology of these organisms.

Animals↗

Genomic analysis.

Advances in genomic analysis include improved technology for DNA sequencing, routine use of DNA microarray technology for the analysis of gene expression profiles at the mRNA level and improved informatic tools to organize and analyze such data. At the same time, new developments in chip-based analysis of samples and the emergence of models of gene networks hold promise for the future of the 'Genomic Era'.

Animals↗

FindTarget: software for subtractive genome analysis.

In silico subtractive/differential genome analysis is a powerful approach for identifying genus- or species-specific genes, or groups of genes that are responsible for a unique phenotype. By this method, one searches for genes present in one group of bacteria and absent in another group. A software package has been developed, named FindTarget, that has a user-friendly web interface to facilitate differential genome analysis. The user chooses the genomes to compare, the similarity criteria and the thresholds to decide if a gene has a counterpart in another genome. The searches are based on BLASTP comparisons of proteomes. FindTarget also includes access to sequences, coloured multiple alignments, phylogenetic trees of conserved proteins and links to public annotated databases which provide a means for validation of the results. To illustrate this approach, a FindTarget search for genes putatively involved in the specificity of cell envelope synthesis of Gram-negative bacteria is presented. The results show that most of the identified genes are clearly involved in cell wall processes, underlining the power of such an approach in general and that of FindTarget in particular.

Bacterial Proteins↗

Recent developments in laboratory automation using magnetic particles for genome analysis.

The majority of research for genome analysis has shifted from nucleic acid sequencing to the biological functional analysis of each gene. Based on past success, it may not be long before genome diagnostics becomes a widespread tool in human, veterinary and botany research fields. Genome analysis involves the processes of nucleic acid purification, amplification, labeling and signal detection (specific reaction, separation and signal counting). Except for the purification of nucleic acids, the other processes cannot be achieved without instruments, resulting in the advancement of automation processes. Since purification of nucleic acids can be done manually, automating this process has been delayed. However, because the purification of nucleic acids using magnetic particles is suitable for automation, its development has also been accelerated. The need for full automation for other processes is not as great because the majority of genome analysis is to identify the nucleic acid sequence and analyze genome expression. However, once useful diagnostic tools are generated, the desire for full automation will significantly increase. In order to develop realistic and practical automation, various technologies developed for each process in genome analysis have to be evaluated and only a few technologies, useful for automation, selected. The other key factor in automation is the development of methods to manage reagents and reaction mixtures precisely without any risks specifically related to genome handling, such as cross-contamination. Methods using magnetic particles, which have been used for the automation of nucleic acid purification and immunoassay, appear to be the most promising way to automate processes used in biological research.

Animals↗

ACAPELLA-1K, a capillary-based submicroliter automated fluid handling system for genome analysis.

The Genomation Laboratory in the Electrical Engineering Department at the University of Washington has been developing an automated, high-throughput, submicroliter-scale fluid-handling system for use in molecular biology, especially as part of the Human Genome Project and other high-throughput DNA sequencing endeavors. Small glass capillaries enable the preparation, handling, and monitoring of 1-microliter reaction volumes. The Genomation Laboratory, with corporate partners Orca Photonic Systems, Inc. and Engineering Arts, has developed modules for aspiration, dispensing, mixing, transport, and rapid thermal processing of biological samples contained in glass capillaries. The ACAPELLA-1K is the first integration of these modules, designed to process 1000 samples in an eight-hour day. It has served as a test bed for the technologies as well as for performing biological experiments in conjunction with the University of Washington Genome Center. This system and related results are presented in this paper. A video of the system in operation is provided at. The Genomation Laboratory is presently developing the next-stage ACAPELLA-5K system based on the results of the ACAPELLA-1K system.

Automation↗

Computational BAC clone contig assembly for comprehensive genome analysis.

Comparative genomic hybridization (CGH) has proved to be a powerful tool for the detection of genome copy number changes in human cancers and in other diseases caused by segmental aneusomies. Array versions of CGH allow the definition of these aberrations, with resolution determined by the size and distribution of the array elements. Resolution approaching 100 kb can be achieved by use of arrays comprising bacterial artificial chromosomes (BACs) distributed contiguously across regions of interest. We describe here a computer program that automatically assembles contigs of minimally overlapping BAC clones, using information about BAC end-sequences and the normal genome DNA sequence. We demonstrate the characteristics of contigs assembled and annotated by use of this approach for regions of recurrent abnormality in human ovarian and breast cancers at chromosome bands 3q25-q27 and 8q24 and chromosome arm 20q. We also show illustrative analyses of regions of amplification in these regions in breast and ovarian tumor cell lines by use of array CGH with arrays comprising contiguous BACs.

Breast Neoplasms↗

Heavy metal tolerance and metal homeostasis in Pseudomonas putida as revealed by complete genome analysis.

The genome of Pseudomonas putida KT2440 encodes an unexpected capacity to tolerate heavy metals and metalloids. The availability of the complete chromosomal sequence allowed the categorization of 61 open reading frames likely to be involved in metal tolerance or homeostasis, plus seven more possibly involved in metal resistance mechanisms. Some systems appeared to be duplicated. These might perform redundant functions or be involved in tolerance to different metals. In total, P. putida was found to bear two systems for arsenic (arsRBCH), one for chromate (chrA), four to six systems for divalent cations (two cadA and two to four czc chemiosmotic antiporters), two systems for monovalent cations: pacS, cusCBA (plus one cryptic silP gene containing a frameshift mutation), two operons for Cu chelation (copAB), one metallothionein for metal(loid) binding, one system for Te/Se methylation (tpmT) and four ABC transporters for the uptake of essential Zn, Mn, Mo and Ni (one nikABCDE, two znuACB and one mobABC). Some of the metal-related clusters are located in gene islands with atypical genome signatures. The predicted capacity of P. putida to endure exposure to heavy metals is discussed from an evolutionary perspective.

Arsenicals↗

SKY and FISH analysis of radiation-induced chromosome aberrations: a comparison of whole and partial genome analysis.

For a retrospective dose estimation of human exposure to ionising radiation, a partial genome analysis is routinely used to quantify radiation-induced chromosome aberrations. For this purpose, fluorescence in situ hybridisation (FISH) with whole chromosome painting probes for selected chromosomes is usually applied covering about 20% of the whole genome. Since genome-wide screening techniques like spectral karyotyping (SKY) and multiplex FISH (mFISH) have been developed the detection of radiation-induced aberrations within the whole genome has now become feasible. To determine the correspondence between partial and whole genome analysis of radiation-induced chromosome aberrations, they were measured comprehensively in this study using in vitro irradiated blood samples from three donors. We were able to demonstrate that comparable results can be detected with both approaches. However, complex aberrations might be misinterpreted by partial genome analysis. We therefore conclude that whole genome analysis by SKY is useful especially in the high dose range to correct aberration data for complex exchange aberrations.

Adult↗

Workshop overview: new molecular techniques in genome analysis.

An overview of the application of various molecular techniques to the analysis of genomic DNA is presented. For the analysis of small-scale changes, the polymerase chain reaction (PCR), colony probe hybridization, mismatch hybridization, and denaturing gradient gel electrophoresis (DGGE) are providing information on mutations within prokaryotic and eukaryotic genes. For large-scale changes, fluorescence in situ hybridization (FISH), pulsed-field gel electrophoresis (PFGE), Southern blotting, multiplex PCR, hybridization of linked probes, and restriction enzyme mapping are permitting analysis of genomic alterations that are larger than point mutations but below the resolution of standard cytogenetic analysis. Many of these techniques, either alone or in combination, produce DNA that can be subjected to DNA sequence analysis, which provides the most detailed information regarding genomic changes.

Chromosome Aberrations↗

Whole genome analysis: experimental access to all genome sequenced segments through larger-scale efficient oligonucleotide synthesis and PCR.

The recent ability to sequence whole genomes allows ready access to all genetic material. The approaches outlined here allow automated analysis of sequence for the synthesis of optimal primers in an automated multiplex oligonucleotide synthesizer (AMOS). The efficiency is such that all ORFs for an organism can be amplified by PCR. The resulting amplicons can be used directly in the construction of DNA arrays or can be cloned for a large variety of functional analyses. These tools allow a replacement of single-gene analysis with a highly efficient whole-genome analysis.

Animals↗