Biomedical subjects

Michael Brad Strader

Publications and source records attributed to Michael Brad Strader.

5 recordsLinked to original sources

PubMed2006

Determination of peptide and protein ion charge states by Fourier transformation of isotope-resolved mass spectra.

We report an automated method for determining charge states from high-resolution mass spectra. Fourier transforms of isotope packets from high-resolution mass spectra are compared to Fourier transforms of modeled isotopic peak packets for a range of charge states. The charge state for the experimental ion packet is determined by the model isotope packet that yields the best match in the comparison of the Fourier transforms. This strategy is demonstrated for determining peptide ion charge states from "zoom scan" data from a linear quadrupole ion trap mass spectrometer, enabling the subsequent automated identification of singly- through quadruply-charged peptide ions, while reducing the numbers of conflicting identifications from ambiguous charge state assignments. We also apply this technique to determine the charges of intact protein ions from LC-FTICR data, demonstrating that it is more sensitive under these experimental conditions than two existing algorithms. The strategy outlined in this paper should be generally applicable to mass spectra obtained from any instrument capable of isotopic resolution.

Algorithms↗

PubMed2006

Efficient and specific trypsin digestion of microgram to nanogram quantities of proteins in organic-aqueous solvent systems.

Mass spectrometry-based identification of the components of multiprotein complexes often involves solution-phase proteolytic digestion of the complex. The affinity purification of individual protein complexes often yields nanogram to low-microgram amounts of protein, which poses several challenges for enzymatic digestion and protein identification. We tested different solvent systems to optimize trypsin digestions of samples containing limited amounts of protein for subsequent analysis by LC-MS-MS. Data collected from digestion of 10-, 2-, 1-, and 0.2-microg portions of a protein standard mixture indicated that an organic-aqueous solvent system containing 80% acetonitrile consistently provided the most complete digestion, producing more peptide identifications than the other solvent systems tested. For example, a 1-h digestion in 80% acetonitrile yielded over 52% more peptides than the overnight digestion of 1 microg of a protein mixture in purely aqueous buffer. This trend was also observed for peptides from digested ribosomal proteins isolated from Rhodopseudomonas palustris. In addition to improved digestion efficiency, the shorter digestion times possible with the organic solvent also improved trypsin specificity, resulting in smaller numbers of semitryptic peptides than an overnight digestion protocol using an aqueous solvent. The technique was also demonstrated for an affinity-isolated protein complex, GroEL. To our knowledge, this report is the first using mass spectrometry data to show a linkage between digestion solvent and trypsin specificity.

Acetonitriles↗

PubMed2005

DBDigger: reorganized proteomic database identification that improves flexibility and speed.

Database search identification algorithms, such as Sequest and Mascot, constitute powerful enablers for proteomic tandem mass spectrometry. We introduce DBDigger, an algorithm that reorganizes the database identification process to remove a problematic bottleneck. Typically such algorithms determine which candidate sequences can be compared to each spectrum. Instead, DBDigger determines which spectra can be compared to each candidate sequence, enabling the software to generate candidate sequences only once for each HPLC separation rather than for each spectrum. This reorganization also reduces the number of times a spectrum must be predicted for a particular candidate sequence and charge state. As a result, DBDigger can accelerate some database searches by more than an order of magnitude. In addition, the software offers features to reduce the performance degradation introduced by posttranslational modification (PTM) searching. DBDigger allows researchers to specify the sequence context in which each PTM is possible. In the case of CNBr digests, for example, modified methionine residues can be limited to occur only at the C-termini of peptides. Use of "context-dependent" PTM searching reduces the performance penalty relative to traditional PTM searching. We characterize the performance possible with DBDigger, showcasing MASPIC, a new statistical scorer. We describe the implementation of these innovations in the hope that other researchers will employ them for rapid and highly flexible proteomic database search.

Algorithms↗

PubMed2004

Defining the binding site of homotetrameric R67 dihydrofolate reductase and correlating binding enthalpy with catalysis.

R67 dihydrofolate reductase (DHFR) is a novel protein that possesses 222 symmetry. A single active site pore traverses the length of the homotetramer. Although the 222 symmetry implies that four symmetry-related binding sites should exist for each substrate as well as each cofactor, isothermal titration calorimetry (ITC) studies indicate only two molecules bind. Three possible combinations include two dihydrofolate molecules, two NADPH molecules, or one substrate with one cofactor. The latter is the productive ternary complex. To evaluate the roles of A36, Y46, T51, G64, and V66 residues in binding and catalysis, a site-directed mutagenesis approach was employed. One mutation per gene produces four mutations per active site pore, which often result in large cumulative effects. Conservative mutations at these positions either eliminate the ability of the gene to confer trimethoprim resistance or have no effect on catalysis. This result, in conjunction with previous mutagenesis studies on K32, K33, S65, Q67, I68, and Y69 [Strader, M. B., et al. (2001) Biochemistry 40, 11344-11352; Hicks, S. N., et al. (2003) Biochemistry 42, 10569-10578; Park, H., et al. (1997) Protein Eng. 10, 1415-1424], allows mapping of the active site surface. Residues for which conservative mutations have large effects on binding and catalysis include K32, Q67, I68, and Y69. These residues form a stripe that establishes the ligand binding surface. Residues that accommodate conservative mutations that do not greatly affect catalysis include K33, Y46, T51, S65, and V66. Isothermal titration calorimetry studies were also conducted on many of the mutants described above to determine the enthalpy of folate binding to the R67 DHFR.NADPH complex. A linear correlation between this DeltaH value and log k(cat)/K(m) is observed. Since structural tightness appears to be correlated with the exothermicity of the binding interaction, this leads to the hypothesis that enthalpy-driven formation of the ternary complex in these R67 DHFR variants plays a strong role in catalysis. Use of the alternate cofactor, NADH, extends this correlation, indicating preorganization of the ternary complex determines the efficiency of the reaction. This hypothesis is consistent with data suggesting R67 DHFR uses an endo transition state (where the nicotinamide ring of cofactor overlaps the more bulky side of the substrate's pteridine ring).

Amino Acids↗

PubMedDate not supplied

Characterization of the 70S Ribosome from Rhodopseudomonas palustris using an integrated "top-down" and "bottom-up" mass spectrometric approach.

We present a comprehensive mass spectrometric approach that integrates intact protein molecular mass measurement ("top-down") and proteolytic fragment identification ("bottom-up") to characterize the 70S ribosome from Rhodopseudomonas palustris. Forty-two intact protein identifications were obtained by the top-down approach and 53 out of the 54 orthologs to Escherichia coli ribosomal proteins were identified from bottom-up analysis. This integrated approach simplified the assignment of post-translational modifications by increasing the confidence of identifications, distinguishing between isoforms, and identifying the amino acid positions at which particular post-translational modifications occurred. Our combined mass spectrometry data also allowed us to check and validate the gene annotations for three ribosomal proteins predicted to possess extended C-termini. In particular, we identified a highly repetitive C-terminal "alanine tail" on L25. This type of low complexity sequence, common to eukaryotic proteins, has previously not been reported in prokaryotic proteins. To our knowledge, this is the most comprehensive protein complex analysis to date that integrates two MS techniques.

Acetylation↗