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Biomedical subjects

Michael P Thelen

Publications and source records attributed to Michael P Thelen.

6 recordsLinked to original sources

Specificity of protein interactions mediated by BRCT domains of the XRCC1 DNA repair protein.

Protein interactions critical to DNA repair and cell cycle control systems are often coordinated by modules that belong to a superfamily of structurally conserved BRCT domains. Because the mechanisms of BRCT interactions and their significance are not well understood, we sought to define the affinity and specificity of those BRCT modules that orchestrate base excision repair and single-strand break repair. Common to these pathways is the essential XRCC1 DNA repair protein, which interacts with at least nine other proteins and DNA. Here, we characterized the interactions of four purified BRCT domains, two from XRCC1 and their two partners from DNA ligase IIIalpha and poly(ADP-ribosyl) polymerase 1. A monoclonal antibody was selected that recognizes the ligase IIIalpha BRCT domain, but not the other BRCT domains, and was used to capture the relevant ligase IIIalpha BRCT complex. To examine the assembly states of isolated BRCT domains and pairwise domain complexes, we used size-exclusion chromatography coupled with on-line light scattering. This analysis indicated that isolated BRCT domains form homo-oligomers and that the BRCT complex between the C-terminal XRCC1 domain and the ligase IIIalpha domain is a heterotetramer with 2:2 stoichiometry. Using affinity capture and surface plasmon resonance methods, we determined that specific heteromeric interactions with high nanomolar dissociation constants occur between pairs of cognate BRCT domains. A structural model for a XRCC1 x DNA ligase IIIalpha heterotetramer is proposed as a core base excision repair complex, which constitutes a scaffold for higher order complexes to which other repair proteins and DNA are brought into proximity.

Antibodies, Monoclonal↗

Community proteomics of a natural microbial biofilm.

Using genomic and mass spectrometry–based proteomic methods, we evaluated gene expression, identified key activities, and examined partitioning of metabolic functions in a natural acid mine drainage (AMD) microbial biofilm community. We detected 2033 proteins from the five most abundant species in the biofilm, including 48% of the predicted proteins from the dominant biofilm organism, Leptospirillum group II. Proteins involved in protein refolding and response to oxidative stress appeared to be highly expressed, which suggests that damage to biomolecules is a key challenge for survival. We validated and estimated the relative abundance and cellular localization of 357 unique and 215 conserved novel proteins and determined that one abundant novel protein is a cytochrome central to iron oxidation and AMD formation.

Amino Acids↗

Proteogenomic approaches for the molecular characterization of natural microbial communities.

At the present time we know little about how microbial communities function in their natural habitats. For example, how do microorganisms interact with each other and their physical and chemical surroundings and respond to environmental perturbations? We might begin to answer these questions if we could monitor the ways in which metabolic roles are partitioned amongst members as microbial communities assemble, determine how resources such as carbon, nitrogen, and energy are allocated into metabolic pathways, and understand the mechanisms by which organisms and communities respond to changes in their surroundings. Because many organisms cannot be cultivated, and given that the metabolisms of those growing in monoculture are likely to differ from those of organisms growing as part of consortia, it is vital to develop methods to study microbial communities in situ. Chemoautotrophic biofilms growing in mine tunnels hundreds of meters underground drive pyrite (FeS(2)) dissolution and acid and metal release, creating habitats that select for a small number of organism types. The geochemical and microbial simplicity of these systems, the significant biomass, and clearly defined biological-inorganic feedbacks make these ecosystem microcosms ideal for development of methods for the study of uncultivated microbial consortia. Our approach begins with the acquisition of genomic data from biofilms that are sampled over time and in different growth conditions. We have demonstrated that it is possible to assemble shotgun sequence data to reveal the gene complement of the dominant community members and to use these data to confidently identify a significant fraction of proteins from the dominant organisms by mass spectrometry (MS)-based proteomics. However, there are technical obstacles currently restricting this type of "proteogenomic" analysis. Composite genomic sequences assembled from environmental data from natural microbial communities do not capture the full range of genetic potential of the associated populations. Thus, it is necessary to develop bioinformatics approaches to generate relatively comprehensive gene inventories for each organism type. These inventories are critical for expression and functional analyses. In proteomic studies, for example, peptides that differ from those predicted from gene sequences can be measured, but they generally cannot be identified by database matching, even if the difference is only a single amino acid residue. Furthermore, many of the identified proteins have no known function. We propose that these challenges can be addressed by development of proteogenomic, biochemical, and geochemical methods that will be initially deployed in a simple, natural model ecosystem. The resulting approach should be broadly applicable and will enhance the utility and significance of genomic data from isolates and consortia for study of organisms in many habitats. Solutions draining pyrite-rich deposits are referred to as acid mine drainage (AMD). AMD is a very prevalent, international environmental problem associated with energy and metal resources. The biological-mineralogical interactions that define these systems can be harnessed for energy-efficient metal recovery and removal of sulfur from coal. The detailed understanding of microbial ecology and ecosystem dynamics resulting from the proposed work will provide a scientific foundation for dealing with the environmental challenges and technological opportunities, and yield new methods for analysis of more complex natural communities.

Ecosystem↗

Involvement of Rad51C in two distinct protein complexes of Rad51 paralogs in human cells.

Genetic studies in rodent and chicken mutant cell lines have suggested that Rad51 paralogs (XRCC2, XRCC3, Rad51B/Rad51L1, Rad51C/Rad51L2 and Rad51D/Rad51L3) play important roles in homologous recombinational repair of DNA double-strand breaks and in maintaining chromosome stability. Previous studies using yeast two- and three-hybrid systems have shown interactions among these proteins, but it is not clear whether these interactions occur simultaneously or sequentially in vivo. By utilizing immunoprecipitation with extracts of human cells expressing epitope-tagged Rad51 paralogs, we demonstrate that XRCC2 and Rad51D, while stably interacting with each other, co-precipitate with Rad51C but not with XRCC3. In contrast, Rad51C is pulled down with XRCC3, whereas XRCC2 and Rad51D are not. In addition, Rad51B could be pulled down with Rad51C and Rad51D, but not with XRCC3. These results suggest that Rad51C is involved in two distinct in vivo complexes: Rad51B-Rad51C-Rad51D-XRCC2 and Rad51C-XRCC3. In addition, we demonstrate that Rad51 co-precipitates with XRCC3 but not with XRCC2 or Rad51D, suggesting that Rad51 can be present in an XRCC3-Rad51C-Rad51 complex. These complexes may act as functional units and serve accessory roles for Rad51 in the presynapsis stage of homologous recombinational repair.

Animals↗

Contribution of XPF functional domains to the 5' and 3' incisions produced at the site of a psoralen interstrand cross-link.

XPF forms a heterodimeric complex with ERCC1 and is required for the repair of DNA interstrand cross-links. In association with ERCC1, it is involved in production of the 5' incision at the site of a psoralen interstrand cross-link as well as the 3' incision. The present study was carried out to determine the functional domains of XPF that are important in the production of the 5' and 3' incisions that occur at a site of a psoralen interstrand cross-link. Monoclonal antibodies (mAbs) were utilized that had been generated against polypeptide fragments of XPF and affinity-mapped to specific regions of XPF. These mAbs were examined for their ability to differentially inhibit production of dual incisions in DNA by normal human chromatin-associated protein extracts that contain XPF and ERCC1. These studies show that two regions of XPF, one N-terminal region from amino acids 12-166 and one C-terminal region from amino acids 702-854, are the most important in the production of the 5' incision. The same N-terminal region and the C-terminal region from amino acids 702-916 are also involved in the 3' incision, though to a much lesser extent. Since this C-terminal region corresponds to the proposed site of interaction of ERCC1 with XPF, these results suggest that binding of ERCC1 to XPF is critical for its ability to produce the 5' and 3' incisions at the site of an interstrand cross-link, possibly through activation or regulation of the endonucleolytic activity of the N-terminal domain of XPF.

Base Sequence↗

Molecular modeling-based analysis of interactions in the RFC-dependent clamp-loading process.

Replication and related processes in eukaryotic cells require replication factor C (RFC) to load a molecular clamp for DNA polymerase in an ATP-driven process, involving multiple molecular interactions. The detailed understanding of this mechanism is hindered by the lack of data regarding structure, mutual arrangement, and dynamics of the players involved. In this study, we analyzed interactions that take place during loading onto DNA of either the PCNA clamp or the Rad9-Rad1-Hus1 checkpoint complex, using computationally derived molecular models. Combining the modeled structures for each RFC subunit with known structural, biochemical, and genetic data, we propose detailed models of how two of the RFC subunits, RFC1 and RFC3, interact with the C-terminal regions of PCNA. RFC1 is predicted to bind PCNA similarly to the p21-PCNA interaction, while the RFC3-PCNA binding is proposed to be similar to the E. coli delta-beta interaction. Additional sequence and structure analysis, supported by experimental data, suggests that RFC5 might be the third clamp loader subunit to bind the equivalent PCNA region. We discuss functional implications stemming from the proposed model of the RFC1-PCNA interaction and compare putative clamp-interacting regions in RFC1 and its paralogs, Rad17 and Ctf18. Based on the individual intermolecular interactions, we propose RFC and PCNA arrangement that places three RFC subunits in association with each of the three C-terminal regions in PCNA. The two other RFC subunits are positioned at the two PCNA interfaces, with the third PCNA interface left unobstructed. In addition, we map interactions at the level of individual subunits between the alternative clamp loader/clamp system, Rad17-RFC(2-5)/Rad9-Rad1-Hus1. The proposed models of interaction between two clamp/clamp loader pairs provide both structural framework for interpretation of existing experimental data and a number of specific findings that can be subjected to direct experimental testing.

Amino Acid Sequence↗