Biomedical subjects

David R Goodlett

Publications and source records attributed to David R Goodlett.

50 records · Page 3Linked to original sources

PubMed2003

The study of macromolecular complexes by quantitative proteomics.

We describe a generic strategy for determining the specific composition, changes in the composition, and changes in the abundance of protein complexes. It is based on the use of isotope-coded affinity tag (ICAT) reagents and mass spectrometry to compare the relative abundances of tryptic peptides derived from suitable pairs of purified or partially purified protein complexes. In a first application, the genuine protein components of a large RNA polymerase II (Pol II) preinitiation complex (PIC) were distinguished from a background of co-purifying proteins by comparing the relative abundances of peptides derived from a control sample and the specific complex that was purified from nuclear extracts by a single-step promoter DNA affinity procedure. In a second application, peptides derived from immunopurified STE12 protein complexes isolated from yeast cells in different states were used to detect quantitative changes in the abundance of the complexes, and to detect dynamic changes in the composition of the samples. The use of quantitative mass spectrometry to guide identification of specific complex components in partially purified samples, and to detect quantitative changes in the abundance and composition of protein complexes, provides the researcher with powerful new tools for the comprehensive analysis of macromolecular complexes.

Affinity Labels↗

PubMed2003

Shotgun collision-induced dissociation of peptides using a time of flight mass analyzer.

Parallel collision-induced dissociation (CID) of peptides rather than serial, as is customary, results in loss of the obvious parent-fragment ion lineage available from CID on a single ion. We report proof-of-principle results suggesting the feasibility of parallel peptide CID, referred to here as shotgun CID, for protein identification when using the measured mass accuracies available from a time of flight mass analyzer and currently available search routines such as SEQUEST. Additionally, we report that parent-fragment ion lineage may be reconstructed from information encoded in the chromatographic single ion current traces of peptides.

Feasibility Studies↗

PubMed2003

A microcapillary trap cartridge-microcapillary high-performance liquid chromatography electrospray ionization emitter device capable of peptide tandem mass spectrometry at the attomole level on an ion trap mass spectrometer with automated routine operation.

Reversed-phase microcapillary chromatography (RP-microLC) combined with electrospray ionization tandem mass spectrometry (ESI-MS/MS) is one of two prevailing techniques in proteomic analysis, the other being matrix-assisted laser desorption/ionization (MALDI). Despite the arguably better dynamic range obtainable with ESI, MALDI is increasingly popular due to ease of use, ruggedness and the ability to decouple separation from ionization. By contrast, in order to take advantage of the sensitivity and dynamic range afforded by the concentration-dependent nature of ESI, it is directly coupled to separations that take place in small i.d. RP-microLC columns. This gain in sensitivity often comes at a loss of ruggedness due to clogging of the small i.d. RP-microLC columns, one result of which is limited sample throughput. Here we describe a combined micropre-column-microLC-ESI device that is sensitive, rugged and modular in design allowing facile construction and troubleshooting. Due to low signal-to-noise as little as 1 attomole of a peptide can be selected by data-dependent methods for collision-induced dissociation. Importantly, the resulting tandem mass spectrum is of high enough quality to identify the peptide sequence by a database search against a complex database using SEQUEST. Finally, the device is demonstrated to be rugged as judged by >60 consecutive reversed-phase microLC separations on complex peptide mixtures before chromatographic resolution is degraded.

Angiotensin I↗

PubMed2003

Proteomic analysis of Pseudomonas aeruginosa grown under magnesium limitation.

In this study, large-scale qualitative and quantitative proteomic technology was applied to the analysis of the opportunistic bacterial pathogen Pseudomonas aeruginosa grown under magnesium limitation, an environmental condition previously shown to induce expression of various virulence factors. For quantitative analysis, whole cell and membrane proteins were differentially labeled with isotope-coded affinity tag (ICAT) reagents and ICAT reagent-labeled peptides were separated by two-dimensional chromatography prior to analysis by electrospray ionization-tandem mass spectrometry (ESI-MS/MS) in an ion trap mass spectrometer (ITMS). To increase the number of protein identifications, gas-phase fractionation (GPF) in the m/z dimension was employed for analysis of ICAT peptides derived from whole cell extracts. The experiments confirmed expression of 1331 P. aeruginosa proteins of which 145 were differentially expressed upon limitation of magnesium. A number of conserved Gram-negative magnesium stress-response proteins involved in bacterial virulence were among the most abundant proteins induced in low magnesium. Comparative ICAT analysis of membrane versus whole cell protein indicated that growth of P. aeruginosa in low magnesium resulted in altered subcellular compartmentalization of large enzyme complexes such as ribosomes. This result was confirmed by 2-D PAGE analysis of P. aeruginosa outer membrane proteins. This study shows that large-scale quantitative proteomic technology can be successfully applied to the analysis of whole bacteria and to the discovery of functionally relevant biologic phenotypes.

Bacterial Outer Membrane Proteins↗

PubMed2003

Quantitative proteomic analysis of chromatin-associated factors.

A method to identify and quantify chromatin-associated proteins has been developed and applied to the analysis of changes in chromatin-associated proteins induced by Myc oncoprotein expression in human B lymphocytes. Chromatin-enriched fractions were isolated by differential detergent/salt extraction and analyzed by ICAT reagent labeling, multi-dimensional chromatography and tandem mass spectrometry. Many known chromatin-associated regulatory factors were identified and quantified. The method will be widely applicable to various biological systems and reveal changes in chromatin-associated regulatory factors that underlie biological phenomena.

B-Lymphocytes↗

PubMed2003

Shotgun proteomic analysis of a chromatophore-enriched preparation from the purple phototrophic bacterium Rhodopseudomonas palustris.

A proteomics approach was evaluated for analysis of photosyntheis-related proteins that are characteristic of chromatophores, particles derived from purple phototrophic bacterial intracytoplasmic membranes. Proteins of purified chromatophores from Rhodopseudomonas palustris were solubilized and digested with trypsin, to create a collection of peptides that were fractionated by liquid chromatography. Peptide sequences were determined and assigned to specific proteins by analysis of tandem mass spectra of peptides, and comparison to a library derived from the recently determined R. palustris genome sequence. A total of 300 proteins were detected with a probability value >/=0.9, and the number of proteins detected increased to 345 when the minimum probability value was reduced to 0.5. Membrane-integral proteins of the reaction center, cytochrome b/c (1), light-harvesting and ATPase complexes were used as controls to assess how well this approach performs with hydrophobic proteins. New genes were identified, and tentatively designated as encoding photosynthesis-related proteins. We conclude that this approach is a powerful method to evaluate the possible existence of new photosynthesis-related proteins (and genes), although alternative methods are needed to evaluate the exact functions of newly discovered genes.

Journal Article↗

PubMed2003

Initial proteome analysis of model microorganism Haemophilus influenzae strain Rd KW20.

The proteome of Haemophilus influenzae strain Rd KW20 was analyzed by liquid chromatography (LC) coupled with ion trap tandem mass spectrometry (MS/MS). This approach does not require a gel electrophoresis step and provides a rapidly developed snapshot of the proteome. In order to gain insight into the central metabolism of H. influenzae, cells were grown microaerobically and anaerobically in a rich medium and soluble and membrane proteins of strain Rd KW20 were proteolyzed with trypsin and directly examined by LC-MS/MS. Several different experimental and computational approaches were utilized to optimize the proteome coverage and to ensure statistically valid protein identification. Approximately 25% of all predicted proteins (open reading frames) of H. influenzae strain Rd KW20 were identified with high confidence, as their component peptides were unambiguously assigned to tandem mass spectra. Approximately 80% of the predicted ribosomal proteins were identified with high confidence, compared to the 33% of the predicted ribosomal proteins detected by previous two-dimensional gel electrophoresis studies. The results obtained in this study are generally consistent with those obtained from computational genome analysis, two-dimensional gel electrophoresis, and whole-genome transposon mutagenesis studies. At least 15 genes originally annotated as conserved hypothetical were found to encode expressed proteins. Two more proteins, previously annotated as predicted coding regions, were detected with high confidence; these proteins also have close homologs in related bacteria. The direct proteomics approach to studying protein expression in vivo reported here is a powerful method that is applicable to proteome analysis of any (micro)organism.

Aerobiosis↗

PubMed2002

Coordinate regulation of energy transduction modules in Halobacterium sp. analyzed by a global systems approach.

The extremely halophilic archaeon Halobacterium NRC-1 can switch from aerobic energy production (energy from organic compounds) to anaerobic phototrophy (energy from light) by induction of purple membrane biogenesis. The purple membrane is made up of multiple copies of a 1:1 complex of bacterioopsin (Bop) and retinal called bacteriorhodopsin that functions as a light-driven proton pump. A light- and redox-sensing transcription regulator, Bat, regulates critical genes encoding the biogenesis of the purple membrane. To better understand the regulatory network underlying this physiological state, we report a systems approach using global mRNA and protein analyses of four strains of Halobacterium sp.: the wild-type, NRC-1; and three genetically perturbed strains: S9 (bat+), a purple membrane overproducer, and two purple membrane deficient strains, SD23 (a bop knockout) and SD20 (a bat knockout). The integrated DNA microarray and proteomic data reveal the coordinated coregulation of several interconnected biochemical pathways for phototrophy: isoprenoid synthesis, carotenoid synthesis, and bacteriorhodopsin assembly. In phototrophy, the second major biomodule for ATP production, arginine fermentation, is repressed. The primary systems level insight provided by this study is that two major energy production pathways in Halobacterium sp., phototrophy and arginine fermentation, are inversely regulated, presumably to achieve a balance in ATP production under anaerobic conditions.

Adenosine Triphosphate↗

PubMed2002

Quantitative proteomic analysis of Myc oncoprotein function.

This study applies a new quantitative proteomics technology to the analysis of the function of the Myc oncoprotein in mammalian cells. Employing isotope-coded affinity tag (ICAT) reagent labeling and tandem mass spectrometry, the global pattern of protein expression in rat myc-null cells was compared with that of myc-plus cells (myc-null cells in which myc has been introduced) to generate a differential protein expression catalog. Expression differences among many functionally related proteins were identified, including reduction of proteases, induction of protein synthesis pathways and upregulation of anabolic enzymes in myc-plus cells, which are predicted to lead to increased cell mass (cell growth). In addition, reduction in the levels of adhesion molecules, actin network proteins and Rho pathway proteins were observed in myc-plus cells, leading to reduced focal adhesions and actin stress fibers as well as altered morphology. These effects are dependent on the highly conserved Myc Box II region. Our results reveal a novel cytoskeletal function for Myc and indicate the feasibility of quantitative whole-proteome analysis in mammalian cells.

Animals↗

PubMed2002

Proteomics without polyacrylamide: qualitative and quantitative uses of tandem mass spectrometry in proteome analysis.

Proteomics can be thought of as an attempt to understand the information encoded in genomic sequences from the perspective of proteins; i.e. the structure, function and regulation of biological processes at the protein level. In practice it stands in stark contrast to the hypothesis-driven serial approach practiced in the last century that was so successful for protein chemists and is built on the basic understanding of protein physicochemical properties developed during that era. Proteomics attempts to study biological processes comprehensively or globally by systematic parallel analysis of proteins expressed in a cell. While there are many analytical techniques in use and under development in proteomics, mass spectrometry is currently one of the field's most important discovery-based tools. This article will review some of the current approaches for qualitative and quantitative uses of tandem mass spectrometry in the field of proteomics specifically avoiding a discussion of the use of gel electrophoresis prior to mass spectrometry.

Mass Spectrometry↗

PubMed2002

Approaching complete peroxisome characterization by gas-phase fractionation.

We examined the utility of gas-phase fractionation (GPF) in the m/z dimension to increase proteome coverage and reproducibility of peptide ion selection by direct microliquid chromatography/electrospray ionization-tandem mass spectrometry (microLC/ESI-MS/MS) analysis of the peptides produced by proteolytic digestion of unfractionated proteins from a yeast whole-cell lysate and in a peroxisomal membrane protein fraction derived from isolated yeast peroxisomes. We also investigated GPF in the relative ion intensity dimension and propose denoting the two types of GPF as GPF(m/z) and GPF(RI). Comparison of results of direct nuLC/ESI-MS/MS analysis of the unfractionated mixture of peptides from proteolysis of a yeast whole cell lysate by DD ion selection from 400-1800 m/z in triplicate and GPF(m/z) from 400-800, 800-1200 and 1200-1800 produced the following results: (i) 1.3 x more proteins were identified by GPF(m/z) for an equal amount of effort (i.e., 3 microLC/ESI-MS/MS) and (ii) proteins identified by GPF(m/z) had a lower average codon bias value. Use of GPF(RI) identified more proteins per m/z unit scanned than GPF(m/z) or triplicate analysis over a wide m/z range. After tryptic digestion of all the proteins from a discontinuous Nycodenz gradient fraction known to be enriched with yeast peroxisomal membrane proteins we detected 93% (38/41) of known peroxisomal proteins using GPF(m/z), but only 73% using a standard wide m/z range survey scan.

Chromatography, High Pressure Liquid↗

PubMed2002

Experimental protein mixture for validating tandem mass spectral analysis.

Several methods have been used to identify peptides that correspond to tandem mass spectra. In this work, we describe a data set of low energy tandem mass spectra generated from a control mixture of known protein components that can be used to evaluate the accuracy of these methods. As an example, these spectra were searched by the SEQUEST application against a human peptide sequence database. The numbers of resulting correct and incorrect peptide assignments were then determined. We show how the sensitivity and error rate are affected by the use of various filtering criteria based upon SEQUEST scores and the number of tryptic termini of assigned peptides.

Amino Acid Sequence↗

PubMed2001

Identification of a novel phosphorylation site, Ser-170, as a regulator of bad pro-apoptotic activity.

Bad is a pro-apoptotic member of the Bcl-2 family of proteins that is thought to exert a death-promoting effect by heterodimerization with Bcl-X(L), nullifying its anti-apoptotic activity. Growth factors may promote cell survival at least partially through phosphorylation of Bad at one or more of Ser-112, -136, or -155. Our previous work showed that Bad is also phosphorylated in response to cytokines at another site, which we now identify as Ser-170. The functional role of this novel phosphorylation site was assessed by site-directed mutagenesis and analysis of the pro-apoptotic function of Bad in transiently transfected HEK293 and COS-7 cells or by stable expression in the cytokine-dependent cell line, MC/9. In general, mutation of Ser-170 to Ala results in a protein with increased ability to induce apoptosis, similar to the S112A mutant. Mutation of Ser-170 to Asp, mimicking a constitutively phosphorylated site, results in a protein that is virtually unable to induce apoptosis. Similarly, the S112A/S170D double mutant does not cause apoptosis in HEK293 and MC/9 cell lines. These data strongly suggest that phosphorylation of Bad at Ser-170 is a critical event in blocking the pro-apoptotic activity of Bad.

Amino Acid Substitution↗

PubMedDate not supplied

Improving mass and liquid chromatography based identification of proteins using bayesian scoring.

We present a method for peptide and protein identification based on LC-MS profiling. The method identified peptides at high-throughput without expending the sequencing time necessary for CID spectra based identification. The measurable peptide properties of mass and liquid chromatographic elution conditions are used to characterize and differentiate peptide features, and these peptide features are matched to a reference database from previously acquired and archived LC-MS/MS experiments to generate sequence assignments. The matches are scored according to the probability of an overlap between the peptide feature and the database peptides resulting in a ranked list of possible peptide sequences for each peptide submitted. This method resulted in 6 times more peptide sequence identifications from a single LC-MS analysis of yeast than from shotgun peptide sequencing using LC-MS/MS.

Algorithms↗