Biomedical subjects

David A Rozak

Publications and source records attributed to David A Rozak.

6 recordsLinked to original sources

PubMed2006

Structure, dynamics, and stability variation in bacterial albumin binding modules: implications for species specificity.

Protein G-related albumin-binding (GA) modules are frequently expressed on the surfaces of bacterial cells. The limited amino acid sequence variation among GA modules results in structural and functional differences with possible implications for bacterial pathogenesis and host specificity. In particular, the streptococcal G148-GA3 and F. magna ALB8-GA albumin-binding domains exhibit a degree of structural and dynamic diversity that may account for their varied affinities for different species of albumin. To explore the impact of GA module polymorphisms on albumin binding and specificity, we recently used offset recombinant PCR to shuffle seven artificially constructed representatives of the GA sequence space and scan the phage-displayed recombinant domains for mutations that supported binding to the phylogenetically distinct human and guinea pig serum albumins (HSA and GPSA) (Rozak et al. (2006) Biochemistry 45, 3263-3271). Surprisingly, phage selection revealed an overwhelming preference for a single recombinant domain (PSD-1, phage-selected domain-1) regardless of whether the phages were enriched for their abilities to bind one or both of these albumins. We describe here the NMR-derived structure, dynamics, and stability of unbound PSD-1. Our results demonstrate that increased flexibility is not a requirement for broadened specificity, as had been suggested earlier (Johansson et al. (2002) J. Mol. Biol. 316, 1083-1099), because PSD-1 binds the phylogenetically diverse HSA and GPSA even more tightly than G148-GA3 but is less flexible. The structural basis for albumin-binding specificity is analyzed in light of these new results.

Albumins↗

PubMed2006

Using offset recombinant polymerase chain reaction to identify functional determinants in a common family of bacterial albumin binding domains.

The 46 amino acid GA albumin binding module is a putative virulence factor that has been identified in 16 domains from four bacterial species. Aside from their possible effects on pathogenicity and host specificity, the natural genotypic and phenotypic variations that exist among members of this module offer unique opportunities for researchers to identify and explore functional determinants within the well-defined sequence space. We used a recently developed in vitro recombination technique, known as offset recombinant PCR, to shuffle seven homologues that encode a broad range of natural GA polymorphisms. Phage display and selection were applied to probe the recombinant library for members that showed simultaneous improvements to human and guinea pig serum albumin binding. Thermodynamic data for the most common phage-selected mutant suggest that domain-stabilizing mutations substantially improved GA binding for both species of albumin.

Albumins↗

PubMed2006

The practical and pedagogical advantages of an ambigraphic nucleic acid notation.

The universally applied IUPAC notation for nucleic acids was adopted primarily to facilitate the mental association of G, A, T, C, and the related ambiguity characters with the bases they represent. However it is possible to create a notation that offers greater support for the basic manipulations and analyses to which genetic sequences frequently are subjected. By designing a nucleic acid notation around ambigrams, it is possible to simplify the frequently applied process of reverse complementation and aid the visualization of palindromes. The ambigraphic notation presented here also uses common orthographic features such as stems and loops to highlight guanine and cytosine rich regions, support the derivation of ambiguity characters, and aid educators in teaching the fundamentals of molecular genetics.

Adenine↗

PubMed2005

Directed evolution of highly homologous proteins with different folds by phage display: implications for the protein folding code.

To better understand how amino acid sequences specify unique tertiary folds, we have used random mutagenesis and phage display selection to evolve proteins with a high degree of sequence identity but different tertiary structures (homologous heteromorphs). The starting proteins in this evolutionary process were the IgG binding domains of streptococcal protein G (G(B)) and staphylococcal protein A (A(B)). These nonhomologous domains are similar in size and function but have different folds. G(B) has an alpha/beta fold, and A(B) is a three-helix bundle (3-alpha). IgG binding function is used to select for mutant proteins which retain the correct tertiary structure as the level of sequence identity is increased. A detailed thermodynamic analysis of the folding reactions and binding reactions for a pair of homologous heteromorphs (59% identical) is presented. High-resolution NMR structures of the pair are presented by He et al. [(2005) Biochemistry 44, 14055-14061]. Because the homologous but heteromorphic proteins are identical at most positions in their sequence, their essential folding signals must reside in the positions of nonidentity. Further, the thermodynamic linkage between folding and binding is used to assess the propensity of one sequence to adopt two unique folds.

Bacterial Proteins↗

PubMed2005

G148-GA3: a streptococcal virulence module with atypical thermodynamics of folding optimally binds human serum albumin at physiological temperatures.

The third albumin binding domain of streptococcal protein G strain 148 (G148-GA3) belongs to a novel class of prokaryotic albumin binding modules that is thought to support virulence in several bacterial species. Here, we characterize G148-GA3 folding and albumin binding by using differential scanning calorimetry and isothermal titration calorimetry to obtain the most complete set of thermodynamic state functions for any member of this medically significant module. When buffered at pH 7.0 the 46-amino acid alpha-helical domain melts at 72 degrees C and exhibits marginal stability (15 kJ/mol) at 37 degrees C. G148-GA3 unfolding is characterized by small contributions to entropy from non-hydrophobic forces and a low DeltaCp (1.1 kJ/(deg mol)). Isothermal titration calorimetry reveals that the domain has evolved to optimally bind human serum albumin near 37 degrees C with a binding constant of 1.4 x 10 7 M(-1). Analysis of G148-GA3 thermodynamics suggests that the domain experiences atypically small per residue changes in structural dynamics and heat capacity while transiting between folded and unfolded states.

Bacterial Proteins↗

PubMed2005

Offset recombinant PCR: a simple but effective method for shuffling compact heterologous domains.

DNA shuffling and other in vitro recombination strategies have proven highly effective at generating complex libraries for mutagenesis studies. While most recombination techniques employ DNA polymerases in part of a multi-step process, few seek to exploit the natural recombinogenic tendencies and exponential amplification rates of PCR. Here, we characterize a simple but effective method for using standard PCR to promote high recombination frequencies among compact heterologous domains by locating the domains near one end of the template. In a typical amplification reaction, Pfu polymerase generated chimeric crossover events in 13% of the population when markers were separated by only 70 nt. The fraction of recombinant sequences reached 42% after six consecutive rounds of PCR, a value close to the 50% expected from a fully shuffled population. When homology within the recombinant region was reduced to 82%, the recombination frequency dropped by nearly half for a single amplification reaction and crossover events were clustered toward one end of the domain. Surprisingly, recombination frequencies for template populations with high and low sequence homologies converged after just four rounds of PCR, suggesting that the exponential accumulation of chimeric molecules in the PCR mixture serves to promote recombination within heterologous domains.

DNA Shuffling↗