Biomedical subjects

Gabriel Lander

Publications and source records attributed to Gabriel Lander.

5 recordsLinked to original sources

PubMed2006

Macromolecular mass spectrometry and electron microscopy as complementary tools for investigation of the heterogeneity of bacteriophage portal assemblies.

The success of electron-cryo microscopy (cryo-EM) and image reconstruction of cyclic oligomers, such as the viral and bacteriophage portals, depends on the accurate knowledge of their order of symmetry. A number of statistical methods of image analysis address this problem, but often do not provide unambiguous results. Direct measurement of the oligomeric state of multisubunit protein assemblies is difficult when the number of subunits is large and one subunit renders only a small increment to the full size of the oligomer. Moreover, when mixtures of different stochiometries are present techniques such as analytical centrifugation or size-exclusion chromatography are also less helpful. Here, we use electrospray ionization mass spectrometry to directly determine the oligomeric states of the in vitro assembled portal oligomers of the phages P22, Phi-29 and SPP1, which range in mass from 430 kDa to about 1 million Da. Our data unambiguously reveal that the oligomeric states of Phi-29 and SPP1 portals were 12 and 13, respectively, in good agreement with crystallographic and electron microscopy data. However, in vitro assembled P22 portals were a mixture of 11- and 12-mer species in an approximate ratio of 2:1, respectively. A subsequent reference-free alignment of electron microscopy images of the P22 portal confirmed this mixture of oligomeric states. We conclude that macromolecular mass spectrometry is a valuable tool in structural biology that can aide in the determination of oligomeric states and symmetry of assemblies, providing a good starting point for improved image analysis of cryo-EM data.

Bacteriophages↗

PubMed2006

VIPERdb: a relational database for structural virology.

VIPERdb (http://viperdb.scripps.edu) is a database for icosahedral virus capsid structures. Our aim is to provide a comprehensive resource specific to the needs of the structural virology community, with an emphasis on the description and comparison of derived data from structural and energetic analyses of capsids. A relational database implementation based on a schema for macromolecular structure makes the data highly accessible to the user, allowing detailed queries at the atomic level. Together with curation practices that maintain data uniformity, this will facilitate structural bioinformatics studies of virus capsids. User friendly search, visualization and educational tools on the website allow both structural and derived data to be examined easily and extensively. Links to relevant literature, sequence and taxonomy databases are provided for each entry.

Capsid↗

PubMed2006

Capsid conformational sampling in HK97 maturation visualized by X-ray crystallography and cryo-EM.

Maturation of the bacteriophage HK97 capsid from a precursor (Prohead II) to the mature state (Head II) involves a 60 A radial expansion. The mature particle is formed by 420 copies of the major capsid protein organized on a T = 7 laevo lattice with each subunit covalently crosslinked to two neighbors. Well-characterized pH 4 expansion intermediates make HK97 valuable for investigating quaternary structural dynamics. Here, we use X-ray crystallography and cryo-EM to demonstrate that in the final transition in maturation (requiring neutral pH), pentons in Expansion Intermediate IV (EI-IV) reversibly sample 14 A translations and 6 degrees rotations relative to a fixed hexon lattice. The limit of this trajectory corresponds to the Head II conformation that is secured at this extent only by the formation of the final class of covalent crosslinks. Mutants that cannot crosslink or EI-IV particles that have been rendered incapable of forming the final crosslink remain in the EI-IV state.

Bacteriophage lambda↗

PubMed2004

Functional annotation of the Arabidopsis genome using controlled vocabularies.

Controlled vocabularies are increasingly used by databases to describe genes and gene products because they facilitate identification of similar genes within an organism or among different organisms. One of The Arabidopsis Information Resource's goals is to associate all Arabidopsis genes with terms developed by the Gene Ontology Consortium that describe the molecular function, biological process, and subcellular location of a gene product. We have also developed terms describing Arabidopsis anatomy and developmental stages and use these to annotate published gene expression data. As of March 2004, we used computational and manual annotation methods to make 85,666 annotations representing 26,624 unique loci. We focus on associating genes to controlled vocabulary terms based on experimental data from the literature and use The Arabidopsis Information Resource-developed PubSearch software to facilitate this process. Each annotation is tagged with a combination of evidence codes, evidence descriptions, and references that provide a robust means to assess data quality. Annotation of all Arabidopsis genes will allow quantitative comparisons between sets of genes derived from sources such as microarray experiments. The Arabidopsis annotation data will also facilitate annotation of newly sequenced plant genomes by using sequence similarity to transfer annotations to homologous genes. In addition, complete and up-to-date annotations will make unknown genes easy to identify and target for experimentation. Here, we describe the process of Arabidopsis functional annotation using a variety of data sources and illustrate several ways in which this information can be accessed and used to infer knowledge about Arabidopsis and other plant species.

Arabidopsis↗

PubMed2003

The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community.

Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system.

Arabidopsis↗