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Gary Siuzdak

Publications and source records attributed to Gary Siuzdak.

At least 19 recordsLinked to original sources
PubMed2006

Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum.

A nonlinear alignment strategy was examined for the quantitative analysis of serum metabolites. Two small-molecule mixtures with a difference in relative concentration of 20-100% for 10 of the compounds were added to human serum. The metabolomics protocol using UPLC and XCMS for LC-MS data alignment could readily identify 8 of 10 spiked differences among more than 2700 features detected. Normalization of data against a single factor obtained through averaging the XCMS integrated response areas of spiked standards increased the number of identified differences. The original data structure was well preserved using XCMS, but reintegration of identified differences in the original data reduced the number of false positives. Using UPLC for separation resulted in 20% more detected components compared to HPLC. The length of the chromatographic separation also proved to be a crucial parameter for a number of detected features. Moreover, UPLC displayed better retention time reproducibility and signal-to-noise ratios for spiked compounds over HPLC, making this technology more suitable for nontargeted metabolomics applications.

Chromatography, Liquid↗
PubMed2006

Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry.

The aim of metabolite profiling is to monitor all metabolites within a biological sample for applications in basic biochemical research as well as pharmacokinetic studies and biomarker discovery. Here, novel data analysis software, XCMS, was used to monitor all metabolite features detected from an array of serum extraction methods, with application to metabolite profiling using electrospray liquid chromatography/mass spectrometry (ESI-LC/MS). The XCMS software enabled the comparison of methods with regard to reproducibility, the number and type of metabolite features detected, and the similarity of these features between different extraction methods. Extraction efficiency with regard to metabolite feature hydrophobicity was examined through the generation of unique feature density distribution plots, displaying feature distribution along chromatographic time. Hierarchical clustering was performed to highlight similarities in the metabolite features observed between the extraction methods. Protein extraction efficiency was determined using the Bradford assay, and the residual proteins were identified using nano-LC/MS/MS. Additionally, the identification of four of the most intensely ionized serum metabolites using FTMS and tandem mass spectrometry was reported. The extraction methods, ranging from organic solvents and acids to heat denaturation, varied widely in both protein removal efficiency and the number of mass spectral features detected. Methanol protein precipitation followed by centrifugation was found to be the most effective, straightforward, and reproducible approach, resulting in serum extracts containing over 2000 detected metabolite features and less than 2% residual protein. Interestingly, the combination of all approaches produced over 10,000 unique metabolite features, a number that is indicative of the complexity of the human metabolome and the potential of metabolomics in biomarker discovery.

Blood Proteins↗
PubMed2006

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Metabolite profiling in biomarker discovery, enzyme substrate assignment, drug activity/specificity determination, and basic metabolic research requires new data preprocessing approaches to correlate specific metabolites to their biological origin. Here we introduce an LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching. Without using internal standards, the method dynamically identifies hundreds of endogenous metabolites for use as standards, calculating a nonlinear retention time correction profile for each sample. Following retention time correction, the relative metabolite ion intensities are directly compared to identify changes in specific endogenous metabolites, such as potential biomarkers. The software is demonstrated using data sets from a previously reported enzyme knockout study and a large-scale study of plasma samples. XCMS is freely available under an open-source license at http://metlin.scripps.edu/download/.

Algorithms↗
PubMed2006

Surfactant-enhanced desorption/ionization on silicon mass spectrometry.

Perfluorinated surfactants are demonstrated to dramatically enhance desorption/ionization on fluorinated silicon (DIOS) mass spectrometry. Perfluorooctanesulfonic acid improved the signal-to-noise ratio of tryptic digests and gave a 3-fold increase in the number of peptides identified. Similar results were also obtained using perfluoroundecanoic acid; yet among the seven different surfactants tested, controls such as nonfluorinated sodium dodecyl sulfate or fluorinated molecules with minimal surfactant activity did not enhance the signal. The same surfactants also enhanced the DIOS-MS signal of amino acids, carbohydrates, and other small organic compounds. The signal enhancement may be facilitated by the high surface activity of the perfluorinated surfactants on the fluorinated silicon surfaces allowing for a higher concentration of analyte to be absorbed.

Alkanesulfonic Acids↗
PubMed2006

Atmospheric pressure desorption/ionization on silicon ion trap mass spectrometry applied to the quantitation of midazolam in rat plasma and determination of midazolam 1'-hydroxylation kinetics in human liver microsomes.

The application of atmospheric pressure desorption/ionization on silicon (AP-DIOS) coupled with ion trap mass spectrometry (ITMS) was investigated for the quantification of midazolam in rat plasma, and determination of midazolam 1'-hydroxylation kinetics in pooled human liver microsomes. Results indicate good sensitivity with absolute detection limits for midazolam in rat plasma of approximately 300 femtograms. A linear dynamic range from approximately 10-5000 ng/mL was obtained in rat plasma with analysis times of 1 min per sample. Kinetic constants for midazolam 1'-hydroxylation in human liver microsomes yielded an apparent Km of 10.0 microM and Vmax of 6.4 nmol/min/mg. Studies investigating the inhibition of 1'-hydroxymidazolam formation by the cytochrome P450 3A4 model inhibitor ketoconazole yielded an IC50 of 0.03 microM. Quantitative precision for replicate analysis of rat plasma and human liver microsomal samples was variable with relative standard deviation (RSD) values ranging from a low of approximately 3% to over 50%, with the highest variability observed in data from human liver microsomal incubations. While preliminary studies investigating the application of AP-DIOS-ITMS suggested feasibility of this technique to typical pharmacokinetic applications, further work is required to understand the underlying causes for the high variability observed in these investigations.

Animals↗
PubMed2006

Mass spectrometry reveals specific and global molecular transformations during viral infection.

Mass spectrometry analysis was used to target three different aspects of the viral infection process: the expression kinetics of viral proteins, changes in the expression levels of cellular proteins, and the changes in cellular metabolites in response to viral infection. The combination of these methods represents a new, more comprehensive approach to the study of viral infection revealing the complexity of these events within the infected cell. The proteins associated with measles virus (MV) infection of human HeLa cells were measured using a label-free approach. On the other hand, the regulation of cellular and Flock House Virus (FHV) proteins in response to FHV infection of Drosophila cells was monitored using stable isotope labeling. Three complementary techniques were used to monitor changes in viral protein expression in the cell and host protein expression. A total of 1500 host proteins was identified and quantified, of which over 200 proteins were either up- or down-regulated in response to viral infection, such as the up-regulation of the Drosophila apoptotic croquemort protein, and the down-regulation of proteins that inhibited cell death. These analyses also demonstrated the up-regulation of viral proteins functioning in replication, inhibition of RNA interference, viral assembly, and RNA encapsidation. Over 1000 unique metabolites were also observed with significant changes in over 30, such as the down-regulated cellular phospholipids possibly reflecting the initial events in cell death and viral release. Overall, the cellular transformation that occurs upon viral infection is a process involving hundreds of proteins and metabolites, many of which are structurally and functionally uncharacterized.

Animals↗
PubMed2006

Sepsis plasma protein profiling with immunodepletion, three-dimensional liquid chromatography tandem mass spectrometry, and spectrum counting.

Sepsis is a systemic, often fatal inflammatory response whose biochemical pathways are not fully understood and with no single biomarker capable of its reliable prediction. Increased interest in protein profiling to reveal fundamental biochemical events as well as disease diagnosis has grown considerably, largely due to advances in mass spectrometry and related front-end technologies. In this study, patients with sepsis and systemic inflammatory response syndrome (SIRS) were examined using plasma protein profiling following immunodepletion treatment to remove the most abundant proteins, serum albumin, transferrin, haptoglobin, anti-trypsin, IgG, and IgA. These proteins cause significant signal suppression, and their removal allows for lower abundance proteins to be examined through improved ion signal. Analyses after immunodepletion were performed using 3-dimensional reverse phase/strong cation exchange/reverse phase liquid chromatography with electrospray ion trap mass spectrometry (3D LC-MS/MS) and spectrum counting for comparative quantitation. The results revealed a major theme in immune system activity, including activation of the complement and coagulation pathways. Additionally, lipid transport may prove to be important in distinguishing sepsis from SIRS. Specifically, significant multi-fold changes were observed in 10 proteins and are now being investigated for the early diagnosis of sepsis.

Biomarkers↗
PubMed2005

Surface modification and laser pulse length effects on internal energy transfer in DIOS.

Benzyl-substituted benzylpyridinium (BP) chloride salts were used as a source of thermometer ions to probe the internal energy (IE) transfer in desorption/ionization on porous silicon (DIOS). To modify their wetting properties and the interaction energies with the thermometer ions, the DIOS surfaces were silylated to produce trimethylsilyl- (TMS), amine- (NH2), perfluoroalkyl- (PFA), and perfluorophenyl-derivatized (PFP) surfaces. Two laser sources--a nitrogen laser with pulse length of 4 ns and a mode locked 3 x omega Nd:YAG laser with a pulse length of 22 ps--were utilized to induce desorption/ionization and fragmentation at various laser fluence levels. The corresponding survival yields were determined as indicators of the IE transfer and the IE distributions were extracted. In most cases, with increasing the laser fluence in a broad range (approximately 20 mJ/cm2), no change in IE transfer was observed. For ns excitation, this was in remarkable contrast with MALDI, where increasing the laser fluence resulted in sharply (within approximately 5 mJ/cm2) declining survival yields. Derivatization of the porous silicon surface did not affect the survival yields significantly but had a discernible effect on the threshold fluence for ion production. The IE distributions determined for DIOS and MALDI from alpha-cyano-4-hydroxycinnamic acid reveal that the mean IE value is always lower for the latter. Using the ps laser, the IE distribution is always narrower for DIOS, whereas for ns laser excitation the width depends on surface modification. Most of the differences between MALDI and DIOS described here are compatible with the different dimensionality of the plume expansion and the differences in the activation energy of desorption due to surface modifications.

Journal Article↗
PubMed2005

An assembly landscape for the 30S ribosomal subunit.

Self-assembling macromolecular machines drive fundamental cellular processes, including transcription, messenger RNA processing, translation, DNA replication and cellular transport. The ribosome, which carries out protein synthesis, is one such machine, and the 30S subunit of the bacterial ribosome is the preeminent model system for biophysical analysis of large RNA-protein complexes. Our understanding of 30S assembly is incomplete, owing to the challenges of monitoring the association of many components simultaneously. Here we have developed a method involving pulse-chase monitored by quantitative mass spectrometry (PC/QMS) to follow the assembly of the 20 ribosomal proteins with 16S ribosomal RNA during formation of the functional particle. These data represent a detailed and quantitative kinetic characterization of the assembly of a large multicomponent macromolecular complex. By measuring the protein binding rates at a range of temperatures, we find that local transformations throughout the assembling subunit have similar but distinct activation energies. Thus, the prevailing view of 30S assembly as a pathway proceeding through a global rate-limiting conformational change must give way to one in which the assembly of the complex traverses a landscape dotted with various local conformational transitions.

Kinetics↗
PubMed2005

Molecular basis for the specificity of p27 toward cyclin-dependent kinases that regulate cell division.

The cyclin-dependent kinase inhibitors (CKIs) bind to and directly regulate the catalytic activity of cyclin-dependent kinase (Cdk)/cyclin complexes involved in cell cycle control and do not regulate other, closely related Cdks. We showed previously that the CKI, p27, binds to Cdk2/cyclin A though a sequential mechanism that involves folding-on-binding. The first step in the kinetic mechanism is interaction of a small, highly dynamic domain of p27 (domain 1) with the cyclin subunit of the Cdk2/cyclin A complex, followed by much slower binding of a more lengthy and less flexible domain (domain 2) to Cdk2. The second step requires folding of domain 2 into the kinase inhibitory conformation. Rapid binding of p27 domain 1 to cyclin A tethers the inhibitor to the binary Cdk2/cyclin A complex, which reduces the entropic barrier associated with slow binding of domain 2 to the catalytic subunit. We show here that p27/cyclin interactions are an important determinant of p27 specificity towards cell cycle Cdks. We used surface plasmon resonance, limited proteolysis, mass spectrometry, and NMR spectroscopy to study the interaction of p27 with Cdk2/cyclin A, and with another Cdk complex, Cdk5/p25, that is involved in neurodegeneration. Importantly, Cdk5/p35 (the parent complex of Cdk5/p25) is not regulated by p27 in neurons. Our results show that p27 binds to Cdk5 and Cdk2 with similar, slow kinetics. However, p27 fails to interact with p25 within the Cdk5/p25 complex, which we believe prevents formation of a kinetically trapped, inhibited p27/Cdk5/p25 complex in vivo. The helical topology of p25 is very similar to that of cyclin A. However, p25 lacks the MRAIL sequence in one helix that, in the cell cycle cyclins, mediates specific interactions with domain 1 of p21 and p27. Our results strongly suggest that p21 and p27, related Cdk inhibitors, select their cell cycle regulatory Cdk targets by binding specifically to the cyclin subunit of these Cdk/cyclin complexes as a first step in a sequential, folding-on-binding mechanism.

Amino Acid Sequence↗
PubMed2005

Maturation of a tetravirus capsid alters the dynamic properties and creates a metastable complex.

The assembly of monomeric protein subunits into a viral capsid is a finely tuned molecular process. In response to subtle changes in environmental conditions, this supramolecular complex can dramatically reorganize. Defining the forces that control this structure and the cooperative action of subunits has implications for biology and nanotechnology. The small icosahedral RNA tetravirus family members Nudaurelia omega capensis (NomegaV) and Helicoverpa armigera stunt virus (HaSV) can be purified as provirions, and maturation to capsids can be induced by a drop in pH. In this study, a comparison of capsid secondary structure using FT-IR revealed that the procapsid has more alpha-helical content than the capsid, supporting the proposal that helix to coil transition may be important for maturation. The dynamic properties of the two states were probed using limited proteolysis and peptide mass mapping to identify regions of significant flexibility. Interestingly, the initial sites of protease cleavage were the N and C terminal domains that are internal in high-resolution models, and to inter-subunit surfaces. Further comparison of the two particle forms using FT-IR revealed that in response to thermal stress, the provirion disassembles and unfolds in a cooperative manner over a narrow temperature range (approximately 5 degrees C). Paradoxically, the capsid form, which is stable in a wide range of pH and ionic conditions and is more resistant to proteolysis, responds to thermal stress at a lower temperature than the procapsid form. This suggests that a metastable state is the end product of assembly.

Animals↗
PubMed2005

The expanding role of mass spectrometry in metabolite profiling and characterization.

Mass spectrometry has a strong history in drug-metabolite analysis and has recently emerged as the foremost technology in endogenous metabolite research. The advantages of mass spectrometry include a wide dynamic range, the ability to observe a diverse number of molecular species, and reproducible quantitative analysis. These attributes are important in addressing the issue of metabolite profiling, as the dynamic range easily exceeds nine orders of magnitude in biofluids, and the diversity of species ranges from simple amino acids to lipids to complex carbohydrates. The goals of the application of mass spectrometry range from basic biochemistry to clinical biomarker discovery with challenges in generating a comprehensive profile, data analysis, and structurally characterizing physiologically important metabolites. The precedent for this work has already been set in neonatal screening, as blood samples from millions of neonates are tested routinely by mass spectrometry as a diagnostic tool for inborn errors of metabolism. In this review, we will discuss the background from which contemporary metabolite research emerged, the techniques involved in this exciting area, and the current and future applications of this field.

Biomarkers↗
PubMed2005

METLIN: a metabolite mass spectral database.

Endogenous metabolites have gained increasing interest over the past 5 years largely for their implications in diagnostic and pharmaceutical biomarker discovery. METLIN (http://metlin.scripps.edu), a freely accessible web-based data repository, has been developed to assist in a broad array of metabolite research and to facilitate metabolite identification through mass analysis. METLINincludes an annotated list of known metabolite structural information that is easily cross-correlated with its catalogue of high-resolution Fourier transform mass spectrometry (FTMS) spectra, tandem mass spectrometry (MS/MS) spectra, and LC/MS data.

Biomarkers↗
PubMed2004

Assignment of endogenous substrates to enzymes by global metabolite profiling.

Enzymes regulate biological processes through the conversion of specific substrates to products. Therefore, of fundamental interest for every enzyme is the elucidation of its natural substrates. Here, we describe a general strategy for identifying endogenous substrates of enzymes by untargeted liquid chromatography-mass spectrometry (LC-MS) analysis of tissue metabolomes from wild-type and enzyme-inactivated organisms. We use this method to discover several brain lipids regulated by the mammalian enzyme fatty acid amide hydrolase (FAAH) in vivo, including known signaling molecules (e.g., the endogenous cannabinoid anandamide) and a novel family of nervous system-enriched natural products, the taurine-conjugated fatty acids. Remarkably, the relative hydrolytic activity that FAAH exhibited for lipid metabolites in vitro was not predictive of the identity of specific FAAH substrates in vivo. Thus, global metabolite profiling establishes unanticipated connections between the proteome and metabolome that enable assignment of an enzyme's unique biochemical functions in vivo.

Amidohydrolases↗
PubMed2004

The identification of an adenovirus receptor by using affinity capture and mass spectrometry.

A tandem mass spectrometry--based approach is demonstrated for detecting a receptor for Ad37, one of the causative agents for epidemic keratoconjunctivitis. Partial purification of membrane glycoproteins was performed by using lectin-affinity chromatography and SDS-PAGE. Gel bands that were shown to bind Ad37 by using Viral Overlay Protein Blot Assay (VOPBA) were excised, proteolyzed and analyzed by using nanoLC-MS/MS to identify putative receptors contained in a mixture of proteins. Four candidate receptors were identified among approximately 50 proteins based on a search against a protein database. Inhibition of gene delivery mediated by an Ad37 vector, with antibodies against the glycoproteins identified by tandem mass spectrometry, strongly indicated that Membrane Cofactor Protein (MCP), a member of the complement regulatory family of proteins, is the receptor. This rapid and sensitive MS/MS-based strategy is perceived to have wide potential applications for the detection of viral receptors.

Antigens, CD↗
PubMed2004

Affinity mass spectrometry from a tailored porous silicon surface.

The development of chemically stable porous silicon (pSi) materials for DIOS (Desorption/Ionization on Silicon) mass spectrometry, covalent linkers cleaved in the DIOS laser pulse, and efficient methods for bond formation to immobilized species, allows for on-chip affinity purification and mass detection.

Porosity↗
PubMed2004

High sensitivity and analyte capture with desorption/ionization mass spectrometry on silylated porous silicon.

Silylation chemistry on porous silicon provides for ultrahigh sensitivity and analyte specificity with desorption/ionization on silicon mass spectrometry (DIOS-MS) analysis. Here, we report that the silylation of oxidized porous silicon offers a DIOS platform that is resistant to air oxidation and acid/base hydrolysis. Furthermore, surface modification with appropriate hydrophobic silanes allows analytes to absorb to the surface via hydrophobic interactions for direct analyte extraction from complex matrixes containing salts and other nonvolatile interferences present in the sample matrix. This enables rapid cleanup by simply spotting the sample onto the modified DIOS target and removing the liquid phase containing the interferences. This approach is demonstrated in the analysis of protein digests and metabolites in biofluids, as well as for the characterizing of inhibitors from their enzyme complex. An unprecedented detection limit of 480 molecules (800 ymol) for des-Arg(9)-bradykinin is reported on a pentafluorophenyl-functionalized DIOS chip.

Amino Acids↗