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Comparative genomics in vertebrate evolution and development.

The vast quantities of publicly available DNA sequencing data and genome resources are enabling biologists to investigate age-old problems in biology that were not addressable previously. In this review, we discuss how comparative genomics is practiced and how the data can be used to make biological inferences with respect to vertebrate evolution and development. Examples are taken from the well-known HOX clusters, which are always a high-priority target for genomic analyses due to their inferred role in the evolution of metazoans. In addition, we briefly discuss the application of genomic approaches to problems in comparative endocrinology.

Amino Acid Sequence↗

Current and future applications of SAGE to cardiovascular medicine.

The recently sequenced mammalian genomes represent unprecedented resources for advancing our understanding of human diseases. Characterizing gene expression is an important step in translating genomic sequences into clinically useful information. Currently, gene expression studies are revolutionizing the approaches taken to address both basic science and clinical questions. Two major methods have emerged for the global examination of the transcriptome: microarrays and Serial Analysis of Gene Expression (SAGE). The SAGE technique comprehensively maps gene transcription by using the genomic database, yet it remains relatively underutilized for studying cardiovascular biology. This review describes current cardiovascular studies using the SAGE technique and outlines some potential strategies for employing this powerful tool to further our understanding of the cardiovascular system in health and in disease.

Animals↗

Discovery of diverse anellovirus sequences in Thai human sequencing data.

UNLABELLED: Anelloviruses are part of the normal human viral flora. Although their diversity in humans has been investigated in many countries, and despite their initial detection in Thailand in 1999, knowledge of Thai anelloviruses remains very limited. This study analyzed 1,175 whole-genome sequencing data sets from Thai individuals to mine for potential anellovirus sequences. Our analyses detected anellovirus sequences in 149 data sets (12.68%), uncovering 434 partial anellovirus sequences and 77 complete genome sequences, characterized by the presence of terminal redundancy, complete orf1, and the conserved untranslated region upstream of the orf1 gene. Sequence analyses indicated that these viruses belong to seven genera, including Alphatorquevirus, Betatorquevirus, Gammatorquevirus, Hetorquevirus, Lamedtorquevirus, Samektorquevirus, and Yodtorquevirus. Notably, Hetorquevirus, Lamedtorquevirus, Samektorquevirus, and Yodtorquevirus had not previously been reported in Thailand. Phylogenetic analysis of ORF1 protein sequences showed that Thai anelloviruses form multiple phylogenetic clusters with non-Thai anelloviruses, indicating frequent cross-country transmission and multiple origins of the virus in Thailand. Furthermore, sequence similarity network analysis identified 33 potentially novel anellovirus species in our data set. Our findings greatly expand the knowledge of anellovirus diversity in Thailand and demonstrate the potential of human whole-genome sequencing data as a valuable resource for viral discovery. Lastly, we highlight and discuss some challenges with the use of the current pairwise sequence similarity-based classification scheme, in particular, how gaps can influence similarity calculation and potentially lead to inconsistencies with a phylogenetic-based classification scheme. IMPORTANCE: Anelloviruses are widespread in humans, yet their diversity remains poorly characterized in many regions, including Thailand. Here, we demonstrate that human sequencing data sets, originally generated without the intention for virome research, can be effectively mined for anellovirus sequences, including complete genomes. Our findings reveal a substantial number of previously unreported anelloviruses in Thailand, significantly expanding the known diversity of the virus. We also highlight potential limitations of the current anellovirus species classification scheme, which is based on pairwise orf1 sequence similarity analysis with a hard threshold cutoff at 69%. Our results reveal that the current scheme can sometimes yield taxonomic groupings that are inconsistent with phylogenetic relationships, particularly when significant alignment gaps are present. Overall, our results show that existing human sequencing data can be effectively repurposed for virus discovery research and suggest the need for more robust and phylogenetically informed classification frameworks as viral sequence databases continue to expand.

Humans↗

Functional classification of interferon-stimulated genes identified using microarrays.

Interferons (IFNs) are a family of multifunctional cytokines that activate transcription of subsets of genes. The gene products induced by IFNs are responsible for IFN antiviral, antiproliferative, and immunomodulatory properties. To obtain a more comprehensive list and a better understanding of the genes regulated by IFNs, we compiled data from many experiments, using two different microarray formats. The combined data sets identified >300 IFN-stimulated genes (ISGs). To provide new insight into IFN-induced cellular phenotypes, we assigned these ISGs to functional categories. The data are accessible on the World Wide Web at http://www.lerner.ccf.org/labs/williams/, including functional categories and individual genes listed in a searchable database. The entries are linked to GenBank and Unigene sequence information and other resources. The goal is to eventually compile a comprehensive list of all ISGs. Recognition of the functions of the ISGs and their specific roles in the biological effects of IFNs is leading to a greater appreciation of the many facets of these intriguing and essential cytokines. This review focuses on the functions of the ISGs identified by analyzing the microarray data and focuses particularly on new insights into the protein kinase RNA-regulated (PRKR) protein, which have been made possible with the availability of PRKR-null mice.

Animals↗

[Interactive atlas with magnetic resonance on CD-ROM for Macintosh].

Computer assisted education in radiology has been increasingly used during the past ten years and now complements traditional learning resources. Magnetic Resonance Imaging (MRI) of musculoskeletal anatomy, and particularly of joints, lends itself naturally to learning modules on computer. This paper describes the design, development and use of an interactive computer assisted teaching module of MR joint anatomy on CD-ROM for Macintosh: to date, we have used this atlas for ankle and elbow anatomy. The atlas is divided into three main sections: MR anatomy, traditional anatomy and a quiz. On each MR image, any anatomical detail can be identified clicking on it with the mouse. Buttons allow to visualize cross-reference points and to go directly on the desired image. If the student wants to look at anatomical drawings of the last identified structure, a button retrieves all the cards in the traditional anatomy section containing that structure. Finally, the student can make his own self-assessment, verifying his learning immediately with the exam mode: the software makes a random selection of 10 MR images where an anatomical structure must be indicated: if the answer is wrong, the software gives the right one and shows the misinterpreted structure. Then, the student is given a total score for his performance. The computer assisted teaching modules present some advantages: the images can be viewed in a given sequence (like traditional learning resources) or in any self-paced, customized way; this possibility, together with the friendly interface of Macintosh computers could make learning more active and pleasant.

Anatomy↗

Identification and characterization of regions of the rice genome associated with broad-spectrum, quantitative disease resistance.

Much research has been devoted to understanding the biology of plant-pathogen interactions. The extensive genetic analysis of disease resistance in rice, coupled with the sequenced genome and genomic resources, provides the opportunity to seek convergent evidence implicating specific chromosomal segments and genes in the control of resistance. Published data on quantitative and qualitative disease resistance in rice were synthesized to evaluate the distributions of and associations among resistance loci. Quantitative trait loci (QTL) for resistance to multiple diseases and qualitative resistance loci (R genes) were clustered in the rice genome. R genes and their analogs of the nucleotide binding site-leucine-rich repeat class and genes identified on the basis of differential representation in disease-related EST libraries were significantly associated with QTL. Chromosomal segments associated with broad-spectrum quantitative disease resistance (BS-QDR) were identified. These segments contained numerous positional candidate genes identified on the basis of a range of criteria, and groups of genes belonging to two defense-associated biochemical pathways were found to underlie one BS-QDR region. Genetic dissection of disease QTL confidence intervals is needed to reduce the number of positional candidate genes for further functional analysis. This study provides a framework for future investigations of disease resistance in rice and related crop species.

Blotting, Northern↗

Genomic sequence of the pathogenic and allergenic filamentous fungus Aspergillus fumigatus.

Aspergillus fumigatus is exceptional among microorganisms in being both a primary and opportunistic pathogen as well as a major allergen. Its conidia production is prolific, and so human respiratory tract exposure is almost constant. A. fumigatus is isolated from human habitats and vegetable compost heaps. In immunocompromised individuals, the incidence of invasive infection can be as high as 50% and the mortality rate is often about 50% (ref. 2). The interaction of A. fumigatus and other airborne fungi with the immune system is increasingly linked to severe asthma and sinusitis. Although the burden of invasive disease caused by A. fumigatus is substantial, the basic biology of the organism is mostly obscure. Here we show the complete 29.4-megabase genome sequence of the clinical isolate Af293, which consists of eight chromosomes containing 9,926 predicted genes. Microarray analysis revealed temperature-dependent expression of distinct sets of genes, as well as 700 A. fumigatus genes not present or significantly diverged in the closely related sexual species Neosartorya fischeri, many of which may have roles in the pathogenicity phenotype. The Af293 genome sequence provides an unparalleled resource for the future understanding of this remarkable fungus.

Allergens↗

Genetic and genomic tools for Xenopus research: The NIH Xenopus initiative.

The NIH Xenopus Initiative is establishing many of the genetic and genomic resources that have been recommended by the Xenopus research community. These resources include cDNA libraries, expressed sequence tags, full-length cDNA sequences, genomic libraries, pilot projects to mutagenize and phenotype X. tropicalis, and sequencing the X. tropicalis genome. This review describes the status of these projects and explains how to access their data and resources. Current information about these activities is available on the NIH Xenopus Web site (http://www.nih.gov/science/models/xenopus/).

Animals↗

The human TBX5 gene mutation database.

Germline mutations of the TBX5 gene were identified as the primary cause in up to 70% of patients with Holt-Oram syndrome (HOS), an autosomal dominant disorder characterized by malformations of the upper limbs and cardiac defects. Furthermore, somatic mutations of the TBX5 gene have been described in diseased heart tissues of patients with congenital heart defects of different cause. The relationship between genotype and phenotype remains unclear and the underlying mechanism of the pathogenic effect is not solved. In this report, we introduce the 'TBX5 Gene Mutation Database,' an online locus specific database containing germline and somatic mutations of the TBX5 gene. The permanently updated data collection includes all reported mutations beginning with the first description of the gene in 1997. With our database we complement the existing resources by: 1) giving a complete review of the so far reported mutation spectrum in TBX5 considering the clinical relevance; 2) linkage of the mutational data to the corresponding gene location and PubMed-Abstracts; and 3) additional links to other related resources like SNP database, sequences and literature references. The usage of our database will help to quickly find informations about genetic variations within the TBX5 gene. Here we describe the database structure, content, and potential applications (http://www.uni-leipzig.de/~genetik/TBX5).

Databases, Genetic↗

Programs, databases, and expert systems for human geneticists--a survey.

We present an overview of the variety of databases and programs that offer substantial aid to medical and molecular geneticists. Databases and expert systems for genetic diseases and birth defects, programs for segregation and linkage analysis, certain DNA and protein sequence databases, and information resources in general for molecular biology are addressed. These systems cannot be used effectively without the newly developed techniques of information exchange based on international computer networks. A short introduction is given to the Internet and to European institutions and organizations that offer help with the acquisition and use of bioinformatic resources.

Computer Communication Networks↗

The impact of genomics on the analysis of host resistance to infectious disease.

The advent of new technologies and resources, including the complete sequence of mammalian genomes, has had a dramatic impact on the genetic analysis of susceptibility to infections in humans and in animal models of infection. Genes responsible for simple or complex control of susceptibility to infection with different pathogens have been recently identified and characterized, and are reviewed herein.

Animals↗

Four years of post-genomic life with 6,000 yeast genes.

Four years after disclosure of the full yeast genome sequence, a series of resources including tens of thousands of mutant strains, plasmids bearing isolated genes and disruption cassettes are becoming publicly available. Deletions of each of the 6,000 putative yeast genes are being screened systematically for dozens of phenotypic traits. In addition, new global approaches such as DNA hybridization arrays, quantitative proteomics and two-hybrid interactions are being steadily improved. They progressively build up an immense computation network of billions of data points which will, within the next decade, characterize all molecular interactions occurring in a simple eukaryotic cell. In this process of acquisition of new basic knowledge, an international community of over 1,000 laboratories cooperates with a remarkable willingness to share projects and results.

DNA Transposable Elements↗

Constructing plant radiation hybrid panels.

Radiation hybrid (RH) mapping, a somatic cell genetic technique, has been developed in animal systems as a general approach for the construction of long-range physical maps of chromosomes. This statistical method relies on X-ray induced breakage of chromosomes to determine the physical distance between markers, as well as their order on the chromosome. The method can be applied to single chromosomes or across the whole genome. The generation of plant (barley) radiation hybrids and their culture in vitro is described here. PCR-based marker systems are used to verify hybrid status and to demonstrate genome coverage. RH panels of the type generated can be used for physical mapping, map-based cloning, or sequence contig assembly. RH resources will greatly aid the physical characterisation of crop plants with large genomes.

Cells, Cultured↗

SeWeR: a customizable and integrated dynamic HTML interface to bioinformatics services.

SUMMARY: Sequence analysis using Web Resources (SeWeR) is an integrated, Dynamic HTML (DHTML) interface to commonly used bioinformatics services available on the World Wide Web. It is highly customizable, extendable, platform neutral, completely server-independent and can be hosted as a web page as well as being used as stand-alone software running within a web browser.

Computational Biology↗

Athena: a resource for rapid visualization and systematic analysis of Arabidopsis promoter sequences.

SUMMARY: To better understand the regulatory networks that control plant gene expression, tools are needed to systematically analyze and visualize promoter regulatory sequences in Arabidopsis thaliana. We have developed the Athena database, which contains 30,067 predicted Arabidopsis promoter sequences and consensus sequences for 105 previously characterized transcription factor (TF) binding sites. Athena provides four novel tools to facilitate the analysis of promoter sequences: a promoter visualization tool to enable the rapid inspection of key regulatory sequences in multiple promoters; a TF binding site enrichment tool to identify statistically over-represented TF sites occurring in a user-selected subset of promoters; a data-mining tool to rapidly select promoter sequences containing the specified combination of TF binding sites; and a tool to display the distribution of TF binding site positions in a selected set of promoter sequences.

Arabidopsis↗

Understanding human disease mutations through the use of interspecific genetic variation.

Data on replacement mutations in genes of disease patients exist in a variety of online resources. In addition, genome sequencing projects and individual gene sequencing efforts have led to the identification of disease gene homologs in diverse metazoan species. The availability of these two types of information provides unique opportunities to investigate factors that are important in the development of genetically based disease by contrasting long and short-term molecular evolutionary patterns. Therefore, we conducted an analysis of disease-associated human genetic variation for seven disease genes: the cystic fibrosis transmembrane conductance regulator, glucose-6-phosphate dehydrogenase, the neural cell adhesion molecule L1, phenylalanine hydroxylase, paired box 6, the X-linked retinoschisis gene and TSC2/tuberin. Our analyses indicate that disease mutations show definite patterns when examined from an evolutionary perspective. Human replacement mutations resulting in disease are overabundant at amino acid positions most conserved throughout the long-term history of metazoans. In contrast, human polymorphic replacement mutations and silent mutations are randomly distributed across sites with respect to the level of conservation of amino acid sites within genes. Furthermore, disease-causing amino acid changes are of types usually not observed among species. Using Grantham's chemical difference matrix, we find that amino acid changes observed in disease patients are far more radical than the variation found among species and in non-diseased humans. Overall, our results demonstrate the usefulness of evolutionary analyses for understanding patterns of human disease mutations and underscore the biomedical significance of sequence data currently being generated from various model organism genome sequencing projects.

Amino Acids↗

The EMBL data library.

The EMBL Data Library was the first internationally supported central resource for nucleic acid sequence data. Working in close collaboration with its American counterpart, GenBank (1), the library prepares and makes available to the scientific community a comprehensive collection of the published nucleic acid sequences. This paper describes briefly the contents of the database, how it is available, and possible future enhancements of Data Library services.

Animals↗

The SBASE protein domain library, release 9.0: an online resource for protein domain identification.

SBASE (http://www.icgeb.trieste.it/sbase) is an online resource of protein domain sequences designed to facilitate detection of domain homologies based on a simple database search. The ninth release of the SBASE library of protein domain sequences contains 320 000 annotated structural, functional, ligand-binding and topogenic segments of proteins clustered into over 3481 domain groups and 483 protein families. Domain identification and functional prediction are based on a comparison of BLAST search outputs with a knowledge base of within-group ('self') and out-of-group ('non-self') similarities of the known domain groups. This is a memory-based approach wherein class-specific similarity functions are automatically learned from the database [Stanfill,C. and Waltz,D. (1986) COMMUN: ACM, 29, 1213-1228].

Animals↗