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Stephen Naylor

Publications and source records attributed to Stephen Naylor.

At least 19 recordsLinked to original sources

Toward plasma proteome profiling with ion mobility-mass spectrometry.

Differential, functional, and mapping proteomic analyses of complex biological mixtures suffer from a lack of component resolution. Here we describe the application of ion mobility-mass spectrometry (IMS-MS) to this problem. With this approach, components that are separated by liquid chromatography are dispersed based on differences in their mobilities through a buffer gas prior to being analyzed by MS. The inclusion of the gas-phase dispersion provides more than an order of magnitude enhancement in component resolution at no cost to data acquisition time. Additionally, the mobility separation often removes high-abundance species from spectral regions containing low-abundance species, effectively increasing measurement sensitivity and dynamic range. Finally, collision-induced dissociation of all ions can be recorded in a single experimental sequence while conventional MS methods sequentially select precursors. The approach is demonstrated in a single, rapid (3.3 h) analysis of a plasma digest sample where abundant proteins have not been removed. Protein database searches have yielded 731 high confidence peptide assignments corresponding to 438 unique proteins. Results have been compiled into an initial analytical map to be used -after further augmentation and refinement- for comparative plasma profiling studies.

Blood Proteins↗

Structural analysis of divalent metals binding to the Bacillus subtilis response regulator Spo0F: the possibility for in vitro metalloregulation in the initiation of sporulation.

The presence of a divalent metal ion in a negatively charged aspartic acid pocket is essential for phosphorylation of response regulator proteins. Here, we present metal binding studies of the Bacillus subtilis response regulator Spo0F using NMR and microESI-MS. NMR studies show that the divalent metals Ca(2+), Mg(2+) and Mn(2+) primarily bind, as expected, in the Asp pocket phosphorylation site. However, identical studies with Cu(2+) show distinct binding effects in three specific locations: (i) the Asp pocket, (ii) a grouping of charged residues at a site opposite of the Asp pocket, and (iii) on the beta 4-alpha 4 loop and the beta 5/alpha 5 interface, particularly around and including H101. microESI-MS studies stoichiometrically confirm the NMR studies and demonstrate that most divalent metal ions bind to Spo0F primarily in a 1:1 ratio. Again, in the case of Cu(2+), multiple metal-bound species are observed. Subsequent experiments reveal that Mg(2+) supports phosphotransfer between KinA and Spo0F, while Cu(2+) fails to support KinA phosphotransfer. Additionally, the presence of Cu(2+) at non-lethal concentrations in sporulation media for B. subtilis and the related organism Pasteuria penetrans was found to inhibit spore formation while continuing to permit vegetative growth. Depending on the type of divalent metal ion present, in vitro phosphorylation of Spo0F by its cognate kinase KinA can be inhibited.

Amino Acid Sequence↗

An automated method for the analysis of stable isotope labeling data in proteomics.

An algorithm is presented for the generation of a reliable peptide component peak table from liquid chromatography-mass spectrometry (LC-MS) and subsequent quantitative analysis of stable isotope coded peptide samples. The method uses chemical noise filtering, charge state fitting, and deisotoping toward improved analysis of complex peptide samples. Overlapping peptide signals in mass spectra were deconvoluted by correlation with modeled peptide isotopic peak profiles. Isotopic peak profiles for peptides were generated in silico from a protein database producing reference model distributions. Doublets of heavy and light labeled peak clusters were identified and compared to provide differential quantification of pairs of stable isotope coded peptides. Algorithms were evaluated using peptides from digests of a single protein and a seven-protein mixture that had been differentially coded with stable isotope labeling agents and mixed in known ratios. The experimental results correlated well with known mixing ratios.

Algorithms↗

Identification of HLA-DRB1-bound self-peptides following measles virus infection.

We developed a B-lymphocyte cell line derived from a measles seropositive individual who was homozygous for the HLA-DRB1*0301 allele. Peptides associated with the HLA-DRB1*0301 protein were purified from this lymphoblastoid cell line after infection with the Attenuvax measles vaccine virus (Merck Research Laboratories, West Point, PA) and with "sham" infection. More than 40 peptide sequences were obtained by nano-scale reversed phase-high performance liquid chromatography coupled to tandem mass spectrometry (nano-LC/MS/MS). These peptides originated from 21 different source proteins--the majority from membrane-bound proteins. Most of the peptides (>73%) bound to HLA-DRB1*0301 appeared to be in lower abundance on measles-infected cells compared to the "sham-infected" cells. However, 26% of the identified peptides seem to have increased expression after measles infection. Measles vaccine virus infection did not change the level of HLA-DR expression. We demonstrate the power of nano-LC/MS/MS in the rapid determination of changes in the spectrum and expression of HLA-DRB1*0301-bound peptides after infection with measles virus. This provides further knowledge of the changes in peptide expression after viral infection and provides a powerful tool for identifying HLA-presented host and viral epitopes in the context of class II HLA molecules.

Alleles↗

Evaluation of the DNA binding tendencies of the transition state regulator AbrB.

Global transition state regulator proteins represent one of the most diverse classes of prokaryotic transcription factors. One such transition state regulator, AbrB from Bacillus subtilis, is known to bind more than 60 gene targets yet displays specificity within this target set by binding each promoter with a different affinity. Microelectrospray ionization mass spectrometry (microESI-MS), circular dichroism, fluorescence, UV spectroscopy, and molecular modeling were used to elucidate differences among AbrB, DNA, and AbrB-DNA complexes. MicroESI-MS analysis of AbrB confirmed its stable macromolecular state as being tetrameric and verified the same stoichiometric state in complex with DNA targets. MicroESI-MS, circular dichroism, and fluorescence provided relative binding affinities for AbrB-DNA interactions in a qualitative manner. UV spectroscopy was used in a quantitative manner to determine solution phase dissociation constants for AbrB-DNA complexes. General DNA structural parameters for all known natural AbrB binding sequences were also studied and significant similarities in topological constraints (stretch, opening, and propeller twist) were observed. It is likely that these parameters contribute to the differential binding proclivities of AbrB. In addition to providing an improved understanding of transition state regulator-DNA binding properties and structural tendencies of target promoters, this comprehensive and corroborative spectroscopic study endorses the use of microESI-MS for rapidly ascertaining qualitative binding trends in noncovalent systems in a high-throughput manner.

Bacillus subtilis↗

The metabolism of pyrazoloacridine (NSC 366140) by cytochromes p450 and flavin monooxygenase in human liver microsomes.

Pyrazoloacridine (PZA) is an experimental antitumor agent presently under investigation for treatment of solid tumors on the basis of its unique mechanism of action and selectivity for human solid tumor xenograft in mice. Using capillary electrophoresis coupled with electrospray ionization mass spectrometry, we have identified three oxidative PZA metabolites, 9-desmethyl-PZA, N-demethyl-PZA, and PZA N-oxide. The cytochrome p450 (CYP) isoforms involved in PZA metabolism were characterized by studies with CYP chemical inhibitors, correlation of marker activities for selected CYPs with formation of the metabolites using a human liver panel, and PZA metabolism by cDNA-expressed CYPs. 9-Desmethyl-PZA formation was catalyzed by CYP1A2, whereas N-demethyl-PZA formation was catalyzed by CYP3A4. PZA N-oxide formation was catalyzed by flavin monooxygenase (FMO) rather than CYP, as determined by studies with chemical inhibitors of FMO and metabolism by cDNA-expressed human flavin monooxygenase. After administration of [10b-(14)C]PZA to mice, six urinary metabolites were detected by high-performance liquid chromatography UV and radiochromatograms including 9-desmethyl-PZA, N-demethyl-PZA, and PZA N-oxide. Trace concentrations of 9-desmethyl-PZA and PZA N-oxide were detected in mouse plasma. PZA N-oxide and N-demethyl-PZA were detected in urine from patients after PZA administration. PZA, 9-desmethyl-PZA, and PZA N-oxide inhibited growth of A375 human melanoma cells. IC(50) values were 0.17, 0.11, and 7.0 micro M, respectively, for the three molecules.

Acridines↗

Mammalian electron transferring flavoprotein.flavoprotein dehydrogenase complexes observed by microelectrospray ionization-mass spectrometry and surface plasmon resonance.

Microelectrospray ionization-mass spectrometry was used to directly observe electron transferring flavoprotein.flavoprotein dehydrogenase interactions. When electron transferring flavoprotein and porcine dimethylglycine dehydrogenase or sarcosine dehydrogenase were incubated together in the absence of substrate, a relative molecular mass corresponding to the flavoprotein.electron transferring flavoprotein complex was observed, providing the first direct observation of these mammalian complexes. When an acyl-CoA dehydrogenase family member, human short chain acyl-CoA dehydrogenase, was incubated with dimethylglycine dehydrogenase and electron transferring flavoprotein, the microelectrospray ionization-mass spectrometry signal for the dimethylglycine dehydrogenase.electron transferring flavoprotein complex decreased, indicating that the acyl-CoA dehydrogenases have the ability to compete with the dimethylglycine dehydrogenase/sarcosine dehydrogenase family for access to electron transferring flavoprotein. Surface plasmon resonance solution competition experiments revealed affinity constants of 2.0 and 5.0 microm for the dimethylglycine dehydrogenase-electron transferring flavoprotein and short chain acyl-CoA dehydrogenase-electron transferring flavoprotein interactions, respectively, suggesting the same or closely overlapping binding motif(s) on electron transferring flavoprotein for dehydrogenase interaction.

Acyl-CoA Dehydrogenase↗

Characterization of amyloidogenic immunoglobulin light chains directly from serum by on-line immunoaffinity isolation.

Primary systemic amyloidosis (AL) is characterized by the overproduction of immunoglobulin light chain proteins by a monoclonal, terminally differentiated B-lymphocyte or plasma cell clone. The free immunoglobulin light chains are deposited in an abnormal conformation as amyloid in a variety of organs in the body. The mechanism of amyloid formation is not well understood, but appears to be associated with some form of cleavage of the immunoglobulin light chain with subsequent aggregate formation. In an attempt to characterize the structure of amyloid-forming light chain proteins we developed an on-line immunoaffinity purification and subsequent characterization of free kappa and free lambda immunoglobulin light chains by electrospray ionization mass spectrometry. The methodology is totally automated and requires 20 micro L of serum. Mass spectral analysis of Bence Jones proteins under non-denaturing conditions was also utilized to examine the tertiary and quaternary structure of light chain proteins and clearly shows covalent dimer formation of lambda type light chain. This type of on-line assay may prove helpful in elucidating distinguishing features capable of discriminating AL from benign monoclonal gammopathies of undetermined significance as well as diagnosing AL.

Amyloid↗

Integrative biological analysis of the APOE*3-leiden transgenic mouse.

Integrative (or systems biology) is a new approach to analyzing biological entities as integrated systems of genetic, genomic, protein, metabolite, cellular, and pathway events that are in flux and interdependent. Here, we demonstrate the application of intregrative biological analysis to a mammalian disease model, the apolipoprotein E3-Leiden (APO*E3) transgenic mouse. Mice selected for the study were fed a normal chow diet and sacrificed at 9 weeks of age-conditions under which they develop only mild type I and II atherosclerotic lesions. Hepatic mRNA expression analysis showed a 25% decrease in APO A1 and a 43% increase in liver fatty acid binding protein expression between transgenic and wild type control mice, while there was no change in PPAR-alpha expression. On-line high performance liquid chromatography-mass spectrometry quantitative profiling of tryptic digests of soluble liver proteins and liver lipids, coupled with principle component analysis, enabled rapid identification of early protein and metabolite markers of disease pathology. These included a 44% increase in L-FABP in transgenic animals compared to controls, as well as an increase in triglycerides and select bioactive lysophosphatidylcholine species. A correlation analysis of identified genes, proteins, and lipids was used to construct an interaction network. Taken together, these results indicate that integrative biology is a powerful tool for rapid identification of early markers and key components of pathophysiologic processes, and constitute the first application of this approach to a mammalian system.

Animals↗

Methods for the differential integrative omic analysis of plasma from a transgenic disease animal model.

Multitiered quantitative analysis of biological systems is rapidly becoming the desired approach to study hierarchical functional interactions between proteins and metabolites. We describe here a novel systematic approach to analyze organisms with complex metabolic regulatory networks. By using precise analytical methods to measure biochemical constituents and their relative abundance in whole plasma of transgenic ApoE*3-Leiden mice and an isogenic wild-type control group, simultaneous snapshots of metabolic and protein states were obtained. Novel data processing and multivariate analysis tools such as Impurity Resolution Software (IMPRESS) and Windows-based linear fit program (WINLIN) were used to compare protein and metabolic profiles in parallel. Canonical correlations of the resulting data show quantitative relationships between heterogeneous components in the TG animals. These results, obtained solely from whole plasma analysis allowed us, in a rapid manner, to corroborate previous findings as well as find new events pertaining to dominant and peripheral events in lipoprotein metabolism of a genetically modified mammalian organism in relation to ApoE3, a key mediator of lipoprotein metabolism.

Animals↗

Phenotype characterisation using integrated gene transcript, protein and metabolite profiling.

Multifactorial diseases present a significant challenge for functional genomics. Owing to their multiple compartmental effects and complex biomolecular activities, such diseases cannot be adequately characterised by changes in single components, nor can pathophysiological changes be understood by observing gene transcripts alone. Instead, a pattern of subtle changes is observed in multifactorial diseases across multiple tissues and organs with complex associations between corresponding gene, protein and metabolite levels. This article presents methods for exploratory and integrative analysis of pathophysiological changes at the biomolecular level. In particular, novel approaches are introduced for the following challenges: (i) data processing and analysis methods for proteomic and metabolomic data obtained by electrospray ionisation (ESI) liquid chromatography-tandem mass spectrometry (LC/MS); (ii) association analysis of integrated gene, protein and metabolite patterns that are most descriptive of pathophysiological changes; and (iii) interpretation of results obtained from association analyses in the context of known biological processes. These novel approaches are illustrated with the apolipoprotein E3-Leiden transgenic mouse model, a commonly used model of atherosclerosis. We seek to gain insight into the early responses of disease onset and progression by determining and identifying--well in advance of pathogenic manifestations of disease--the sets of gene transcripts, proteins and metabolites, along with their putative relationships in the transgenic model and associated wild-type cohort. Our results corroborate previous findings and extend predictions for three processes in atherosclerosis: aberrant lipid metabolism, inflammation, and tissue development and maintenance.

Algorithms↗

Primer on medical genomics. Part XIV: Introduction to systems biology--a new approach to understanding disease and treatment.

The advent of the "-omics revolution" has forced us to reevaluate our ability to acquire, measure, and handle large data sets. Omic platforms such as expression arrays and mass spectrometry, with their exquisite selectivity, sensitivity, and specificity, are unrivaled technologies for detection, quantitation, and identification of DNA, messenger RNA, proteins, and metabolites derived from complex body tissue and fluids. More recently, attempts have been made to capture the utility of these platform technologies and combine them under the umbrella of systems biology, also referred to as pathway, network, or integrative biology. Applied systems biology is the integrated analysis of genetic, genomic, protein, metabolite, cellular, and pathway events that are in flux and interdependent. It necessitates the use of a variety of analytic platforms as well as biostatistics, bioinformatics, data integration, computational biology, modeling, and knowledge assembly protocols. Such sophisticated analyses may provide new insight into the understanding of disease processes and mechanisms of action of pharmaceutical agents. Ultimately, this requires a perspective on how complex systems behave and are modulated. In this regard, systems biology, more appropriately considered as a process containing a series of modules, aims to provide tools and capabilities to carry out such tasks. We describe the essentials required to carry out systems biology experiments, the method in which integrated data in the form of a systems biology correlation network affords new insight into understanding disease, and the vista of developing more efficient biomarkers and therapeutic agents.

Animals↗

Naturally processed measles virus peptide eluted from class II HLA-DRB1*03 recognized by T lymphocytes from human blood.

This is the first report of the direct identification of a HLA-DRB1*03 measles-derived peptide from measles virus infected EBV-transformed B cells. We purified HLA-DR3-peptide complexes from EBV-B cells infected with measles virus (Edmonston strain) and sequenced the HLA-DR3-peptides by mass spectrometry. A class II peptide, derived from a measles phosphoprotein, ASDVETAEGGEIHELLRLQ (P1, residues 179-197), exhibited the capacity to stimulate peripheral blood mononuclear cells to proliferate. Our data provides direct evidence that the antigenic peptide of measles virus was processed by antigen-presenting cells, presented in the context of HLA class II molecules, and was recognized by peripheral blood T cells from healthy individuals previously immunized with measles vaccine. The approach described herein provides a useful methodology for the future identification of HLA-presented pathogen-derived epitopes using mass spectrometry. The study of cell-mediated immune responses to the measles-derived peptide in immune persons should provide significant insight into the design and development of new vaccines.

Adolescent↗

In line desalting mass spectrometry for the study of noncovalent biological complexes.

Electrospray ionization-mass spectrometry is becoming widely used as a high-throughput method for the study of biomolecular interactions. It allows for the analysis of complexes from heterogeneous mixtures with high sensitivity and selectivity. In many cases, biomolecules and their complexes must be stored in nonvolatile salt buffers and other solubilizing agents, such as organics or detergents, to maintain stability and integrity. To ensure an efficient electrospray process, desalting and exchanging the biomolecular solutions into a volatile buffer is imperative. Current off-line or on-line methods to accomplish this are time-consuming, frequently disrupt noncovalent interactions, and can result in considerable sample loss. Here we describe a simple, general, and highly efficient, rapid in-line desalting approach using a small gel cartridge to assist in the mass spectrometric analysis of biomolecules and their complexes. Though the method has broad applicability, we focus our analysis on proteins and demonstrate its usefulness by examining protein-metal, protein-protein, protein-DNA, and protein-RNA interactions. The method is shown to provide rapid direct analysis of analyte solutions containing salts, glycerol, organics, and involatile buffers without deleterious effects.

Biopolymers↗

The effects of Ca(2+) binding on the conformation of calbindin D(28K): a nuclear magnetic resonance and microelectrospray mass spectrometry study.

Calbindin D(28K) is a six-EF-hand calcium-binding protein found in the brain, peripheral nervous system, kidney, and intestine. There is a paucity of information on the effects of calcium binding on calbindin D(28K) structure. To further examine the mechanism and structural consequences of calcium binding to calbindin D(28K) we performed detailed complementary heteronuclear NMR and microelectrospray mass spectrometry investigations of the calcium-induced conformational changes of calbindin D(28K). The combined use of these two powerful analytical techniques clearly and very rapidly demonstrates the following: (i). apo-calbindin D(28K) has an ordered structure which changes to a notably different ordered conformation upon Ca(2+) loading, (ii). calcium binding is a sequential process and not a simultaneous event, and (iii). EF-hands 1, 3, 4, and 5 take up Ca(2+), whereas EF-hands 2 and 6 do not. Our results support the opinion that calbindin D(28K) has characteristics of both a calcium sensor and a buffer.

Apoproteins↗

Phosphorylation of human Rad9 is required for genotoxin-activated checkpoint signaling.

Rad9, a key component of genotoxin-activated checkpoint signaling pathways, associates with Hus1 and Rad1 in a heterotrimeric complex (the 9-1-1 complex). Rad9 is inducibly and constitutively phosphorylated. However, the role of Rad9 phosphorylation is unknown. Here we identified nine phosphorylation sites, all of which lie in the carboxyl-terminal 119-amino acid Rad9 tail and examined the role of phosphorylation in genotoxin-triggered checkpoint activation. Rad9 mutants lacking a Ser-272 phosphorylation site, which is phosphorylated in response to genotoxins, had no effect on survival or checkpoint activation in Mrad9-/- mouse ES cells treated with hydroxyurea (HU), ionizing radiation (IR), or ultraviolet radiation (UV). In contrast, additional Rad9 tail phosphorylation sites were essential for Chk1 activation following HU, IR, and UV treatment. Consistent with a role for Chk1 in S-phase arrest, HU- and UV-induced S-phase arrest was abrogated in the Rad9 phosphorylation mutants. In contrast, however, Rad9 did not play a role in IR-induced S-phase arrest. Clonogenic assays revealed that cells expressing a Rad9 mutant lacking phosphorylation sites were as sensitive as Rad9-/- cells to UV and HU. Although Rad9 contributed to survival of IR-treated cells, the identified phosphorylation sites only minimally contributed to survival following IR treatment. Collectively, these results demonstrate that the Rad9 phospho-tail is a key participant in the Chk1 activation pathway and point to additional roles for Rad9 in cellular responses to IR.

Cell Cycle Proteins↗

Advancing drug discovery through systems biology.

Pharmaceutical companies are facing an urgent need to both increase their lead compound and clinical candidate portfolios and satisfy market demands for continued innovation and revenue growth. Here, we outline an emerging approach that attempts to facilitate and alleviate many of the current drug discovery issues and problems. This is, in part, achieved through the systematic integration of technologies, which results in a superior output of data and information, thereby enhancing our understanding of biological function, chemico-biological interactions and, ultimately, drug discovery. Systems biology is one new discipline that is positioned to significantly impact this process.

Animals↗