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Andreas D Baxevanis

Publications and source records attributed to Andreas D Baxevanis.

16 recordsLinked to original sources
PubMed2006

The Histone Database: a comprehensive resource for histones and histone fold-containing proteins.

The Histone Database is a curated and searchable collection of full-length sequences and structures of histones and nonhistone proteins containing histone-like folds, compiled from major public databases. Several new histone fold-containing proteins have been identified, including the huntingtin-interacting protein HYPM. Additionally, based on the recent crystal structure of the Son of Sevenless protein, an interpretation of the sequence analysis of the histone fold domain is presented. The database contains an updated collection of multiple sequence alignments for the four core histones (H2A, H2B, H3, and H4) and the linker histones (H1/H5) from a total of 975 organisms. The database also contains information on the human histone gene complement and provides links to three-dimensional structures of histone and histone fold-containing proteins. The Histone Database is a comprehensive bioinformatics resource for the study of structure and function of histones and histone fold-containing proteins. The database is available at http://research.nhgri.nih.gov/histones/.

Amino Acid Sequence↗
PubMed2005

Gaucher mutation N188S is associated with myoclonic epilepsy.

The recent article by Montfort et al. [2004] reported a functional analysis of 13 glucocerebrosidase alleles, including mutation N188S, which they considered to be a "very mild mutation" or "modifier variant." Our clinical experience with patients carrying this mutation and preliminary protein modeling data lead us to dispute this conclusion.

Adolescent↗
PubMed2004

GeneLink: a database to facilitate genetic studies of complex traits.

BACKGROUND: In contrast to gene-mapping studies of simple Mendelian disorders, genetic analyses of complex traits are far more challenging, and high quality data management systems are often critical to the success of these projects. To minimize the difficulties inherent in complex trait studies, we have developed GeneLink, a Web-accessible, password-protected Sybase database. RESULTS: GeneLink is a powerful tool for complex trait mapping, enabling genotypic data to be easily merged with pedigree and extensive phenotypic data. Specifically designed to facilitate large-scale (multi-center) genetic linkage or association studies, GeneLink securely and efficiently handles large amounts of data and provides additional features to facilitate data analysis by existing software packages and quality control. These include the ability to download chromosome-specific data files containing marker data in map order in various formats appropriate for downstream analyses (e.g., GAS and LINKAGE). Furthermore, an unlimited number of phenotypes (either qualitative or quantitative) can be stored and analyzed. Finally, GeneLink generates several quality assurance reports, including genotyping success rates of specified DNA samples or success and heterozygosity rates for specified markers. CONCLUSIONS: GeneLink has already proven an invaluable tool for complex trait mapping studies and is discussed primarily in the context of our large, multi-center study of hereditary prostate cancer (HPC). GeneLink is freely available at http://research.nhgri.nih.gov/genelink.

Alleles↗
PubMed2004

Structural analysis of disease-causing mutations in the P-subfamily of forkhead transcription factors.

Mutations in a number of forkhead transcription factors are associated with the development of inherited diseases in humans. Two closely related genes, FOXP2 and FOXP3, are implicated in two completely different human disorders. A point mutation in the forkhead domain of FOXP2 (R553H) is responsible for a severe speech and language disorder, while a series of missense mutations distributed over the forkhead domain of FOXP3 cause a fatal disorder called IPEX, characterized by immune dysregulation, polyendocrinopathy, and enteropathy. Homology model building techniques were used to generate atomic structures of FOXP2 and FOXP3, using the solution structures of the forkhead domain of the adipocyte-transcription factor FREAC-11 and AFX as templates. The impact of these disease-causing missense mutations on the three-dimensional structure, stability, and surface electrostatic charge distribution of the forkhead domains is examined here. The missense mutations R553H in FOXP2 and R397W in FOXP3 dramatically alter the electrostatic potentials of the molecular surface of their respective forkhead domains.

Amino Acid Sequence↗
PubMed2003

Structural and functional analyses of disease-causing missense mutations in the forkhead domain of FOXC1.

Five missense mutations (P79L, P79T, I91S, I91T and R127H) within the forkhead DNA-binding domain of the FOXC1 transcription factor, identified in patients with Axenfeld-Rieger (AR) malformations, were studied to identify the effects of these mutations on FOXC1 structure and function. Molecular modeling and threading analyses predict that the I91S and T mutations may generate local disruptions to the structure of the forkhead domain while the R127H mutation alters the electrostatic charge of the DNA binding surface of the forkhead domain. The P79L and T mutations are not predicted to grossly perturb the structure of the forkhead domain. Biological analyses indicate that all of these missense mutations cause a range of FOXC1 perturbations, including nuclear localization defects, reduced or abolished DNA binding capacity, and a reduction in the transactivation capacity of FOXC1. These experiments extend our previous hypothesis that reduced transactivation of appropriate target genes by FOXC1, underlie AR malformations mapping to human chromosome 6p25. Importantly, these results can also be applied to predict the consequences of the molecular effects of mutations of other FOX genes that have analogous missense mutations, including FOXP2, FOXE3 and FOXC2.

Amino Acid Sequence↗
PubMed2003

The Homeodomain Resource: 2003 update.

The Homeodomain Resource is a searchable, curated collection of information for the homeodomain protein family. The resource is organized in a compact form and provides user-friendly interfaces for both querying the component databases and assembling customized datasets. The current release (version 5.0, October 2002) contains 1056 full-length homeodomain-containing sequences, 37 experimentally-derived structures, 81 homeodomain interactions, 84 homeodomain DNA-binding sites and 114 homeodomain proteins implicated in human genetic disorders. A new feature of this new release is the inclusion of experimentally-derived protein-protein interaction data for homeodomain family members. All entries are cross-linked for easy retrieval of the original records from source databases. The Homeodomain Resource is freely available through the World Wide Web at http://research.nhgri.nih.gov/homeodomain/.

Binding Sites↗
PubMed2003

The Molecular Biology Database Collection: 2003 update.

The Molecular Biology Database Collection is an online resource listing key databases of value to the biological community. This Collection is intended to bring fellow scientists' attention to high-quality databases that are available throughout the world, rather than just be a lengthy listing of all available databases. As such, this up-to-date listing is intended to serve as the jumping-off point from which to find specialized databases that may be of use in advancing biological research. The databases included in this Collection provide new value to the underlying data by virtue of curation, new data connections or other innovative approaches. Short, searchable summaries and updates for each of the databases included in this Collection are available through the Nucleic Acids Research Web site at http://nar.oupjournals.org.

Data Collection↗
PubMed2002

Identification of six novel genes by experimental validation of GeneMachine predicted genes.

In silico gene identification from finished and unfinished human genome sequence has become critically important in many projects seeking to gain insights into the gene content of genomic regions implicated in diseases. To establish limitations and criteria for in silico gene identification, and to identify novel genes of potential relevance to human prostate cancer and melanoma, 3 Mb of chromosome 1 sequence have been analyzed using GeneMachine. This program is a software suite comprising of sequence similarity programs and four gene identification programs. A total of 49 potential transcripts were selected and 37 of them were selected for experimental validation. We verified 16 of the predicted genes by experimental analysis. The comparison of the predicted transcripts with their cloned forms helped to refine predicted gene models as well as to identify splice variants for several of them. Although sequences matching with ten of our verified genes have been recently deposited in the GenBank, six of them remain novel. Our studies support the feasibility of identifying novel genes from regions of interest using draft human genome sequence.

Chromosomes, Human, Pair 1↗
PubMed2002

The Molecular Biology Database Collection: 2002 update.

The Molecular Biology Database Collection is an online resource listing key databases of value to the biological community. This Collection is intended to bring fellow scientists' attention to high-quality databases that are available throughout the world, rather than just be a lengthy listing of all available databases. As such, this up-to-date listing is intended to serve as the initial point from which to find specialized databases that may be of use in biological research. The databases included in this Collection provide new value to the underlying data by virtue of curation, new data connections or other innovative approaches. Short, searchable summaries and updates for each of the databases included in the Collection are available through the Nucleic Acids Research Web site at http://nar.oupjournals.org.

Computational Biology↗
PubMed2002

The Histone Database.

Histone proteins are often noted for their high degree of sequence conservation. It is less often recognized that the histones are a heterogeneous protein family. Furthermore, several classes of non-histone proteins containing the histone fold motif exist. Novel histone and histone fold protein sequences continue to be added to public databases every year. The Histone Database (http://genome.nhgri.nih.gov/histones/) is a searchable, periodically updated collection of histone fold-containing sequences derived from sequence-similarity searches of public databases. Sequence sets are presented in redundant and non-redundant FASTA form, hotlinked to GenBank sequence files. Partial sequences are also now included in the database, which has considerably augmented its taxonomic coverage. Annotated alignments of full-length non-redundant sets of sequences are now available in both web-viewable (HTML) and downloadable (PDF) formats. The database also provides summaries of current information on solved histone fold structures, post-translational modifications of histones, and the human histone gene complement.

Amino Acid Motifs↗
PubMed2002

Physical and transcript map of the hereditary prostate cancer region at xq27.

We have recently mapped a locus for hereditary prostate cancer (termed HPCX) to the long arm of the X chromosome (Xq25-q27) through a genome-wide linkage study. Here we report the construction of an approximately 9-Mb sequence-ready bacterial clone contig map of Xq26.3-q27.3. The contig was constructed by screening BAC/PAC libraries with markers spaced at approximately 85-kb intervals. We identified overlapping clones by end-sequencing framework clones to generate 407 new sequence-tagged sites, followed by PCR verification of overlaps. Contig assembly was based on clone restriction fingerprinting and the landmark information. We identified a minimal overlap contig for genomic sequencing, which has yielded 7.7 Mb of finished sequence and 1.5 Mb of draft sequence. The transcriptional mapping effort localized 57 known and predicted genes by database searching, STS content mapping, and sequencing, followed by sequence annotation. These transcriptional units represent candidate genes for HPCX and multiple other hereditary diseases at Xq26.3-q27.3.

Chromosome Mapping↗
PubMed2002

Molecular modeling of mutations in the DNA-binding domain of the oncoprotein Qin.

The retroviral oncogene qin, homologue of mammalian brain factor 1 (FOXG1 B), belongs to the family of winged helix transcription factors. Oncogenic transformation by Qin requires sequence-specific DNA binding. Missense mutations in the forkhead domain of Qin modulate its oncogenic transforming ability in chicken embryonic fibroblasts. We used homology model building (threading) techniques to generate atomic structures of wild-type c-Qin and c-Qin mutants, using the solution structure of the forkhead domain of the adipocyte transcription factor as a template (M. J. van Dongen et al., J. Mol. Biol., 296: 351-359, 2000). Energy calculations indicate that the Qin forkhead structure is stabilized primarily by hydrophobic interactions between residues at the helical interface. None of the missense mutations analyzed here were responsible for maintaining the most critical pairwise interactions holding the forkhead domain together. The mutated proteins form the overall structure of the forkhead domain, but the mutations do interfere with DNA binding.

Amino Acid Sequence↗
PubMedDate not supplied

Using genomic databases for sequence-based biological discovery.

The inherent potential underlying the sequence data produced by the International Human Genome Sequencing Consortium and other systematic sequencing projects is, obviously, tremendous. As such, it becomes increasingly important that all biologists have the ability to navigate through and cull important information from key publicly available databases. The continued rapid rise in available sequence information, particularly as model organism data is generated at breakneck speed, also underscores the necessity for all biologists to learn how to effectively make their way through the expanding "sequence information space." This review discusses some of the more commonly used tools for sequence discovery; tools have been developed for the effective and efficient mining of sequence information. These include LocusLink, which provides a gene-centric view of sequence-based information, as well as the 3 major genome browsers: the National Center for Biotechnology Information Map Viewer, the University of California Santa Cruz Genome Browser, and the European Bioinformatics Institute's Ensembl system. An overview of the types of information available through each of these front-ends is given, as well as information on tutorials and other documentation intended to increase the reader's familiarity with these tools.

Animals↗