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Biomedical subjects

J K Eng

Publications and source records attributed to J K Eng.

13 recordsLinked to original sources

Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

We demonstrate an integrated approach to build, test, and refine a model of a cellular pathway, in which perturbations to critical pathway components are analyzed using DNA microarrays, quantitative proteomics, and databases of known physical interactions. Using this approach, we identify 997 messenger RNAs responding to 20 systematic perturbations of the yeast galactose-utilization pathway, provide evidence that approximately 15 of 289 detected proteins are regulated posttranscriptionally, and identify explicit physical interactions governing the cellular response to each perturbation. We refine the model through further iterations of perturbation and global measurements, suggesting hypotheses about the regulation of galactose utilization and physical interactions between this and a variety of other metabolic pathways.

Computational Biology↗

The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5.

The innate immune system recognizes pathogen-associated molecular patterns (PAMPs) that are expressed on infectious agents, but not on the host. Toll-like receptors (TLRs) recognize PAMPs and mediate the production of cytokines necessary for the development of effective immunity. Flagellin, a principal component of bacterial flagella, is a virulence factor that is recognized by the innate immune system in organisms as diverse as flies, plants and mammals. Here we report that mammalian TLR5 recognizes bacterial flagellin from both Gram-positive and Gram-negative bacteria, and that activation of the receptor mobilizes the nuclear factor NF-kappaB and stimulates tumour necrosis factor-alpha production. TLR5-stimulating activity was purified from Listeria monocytogenes culture supernatants and identified as flagellin by tandem mass spectrometry. Expression of L. monocytogenes flagellin in non-flagellated Escherichia coli conferred on the bacterium the ability to activate TLR5, whereas deletion of the flagellin genes from Salmonella typhimurium abrogated TLR5-stimulating activity. All known TLRs signal through the adaptor protein MyD88. Mice challenged with bacterial flagellin rapidly produced systemic interleukin-6, whereas MyD88-null mice did not respond to flagellin. Our data suggest that TLR5, a member of the evolutionarily conserved Toll-like receptor family, has evolved to permit mammals specifically to detect flagellated bacterial pathogens.

Adaptor Proteins, Signal Transducing↗

Differential stable isotope labeling of peptides for quantitation and de novo sequence derivation.

We have demonstrated the use of per-methyl esterification of peptides for relative quantification of proteins between two mixtures of proteins and automated de novo sequence derivation on the same dataset. Protein mixtures for comparison were digested to peptides and resultant peptides methylated using either d0- or d3-methanol. Methyl esterification of peptides converted carboxylic acids, such as are present on the side chains of aspartic and glutamic acid as well as the carboxyl terminus, to their corresponding methyl esters. The separate d0- and d3-methylated peptide mixtures were combined and the mixture subjected to microcapillary high performance liquid chromatography/tandem mass spectrometry (HPLC/MS/MS). Parent proteins of methylated peptides were identified by correlative database searching of peptide tandem mass spectra. Ratios of proteins in the two original mixtures could be calculated by normalization of the area under the curve for identical charge states of d0- to d3-methylated peptides. An algorithm was developed that derived, without intervention, peptide sequence de novo by comparison of tandem mass spectra of d0- and d3-peptide methyl esters.

Algorithms↗

Automated identification of amino acid sequence variations in proteins by HPLC/microspray tandem mass spectrometry.

Amino acid sequence variations resulting from single-nucleotide polymorphisms (SNPs) were identified using a novel mass spectrometric method. This method obtains 99+% protein sequence coverage for human hemoglobin in a single LC-microspray tandem mass spectrometry (microLC-MS/MS) experiment. Tandem mass spectrometry data was analyzed using a modified version of the computer program SEQUEST to identify the sequence variations. Conditions of sample preparation, chromatographic separation, and data collection were optimized to correctly identify amino acid changes in six variants of human hemoglobin (Hb C, Hb E, Hb D-Los Angeles, Hb G-Philadelphia, Hb Hope, and Hb S). Hemoglobin proteins were isolated and purified, dehemed, (S)-carboxyami-domethylated, and then subjected to a combination proteolytic digestion to obtain a complex peptide mixture with multiple overlaps in sequence. Reversed-phase chromatographic separation of peptides was achieved on-line with MS utilizing a robust fritless microelectrospray interface. Tandem mass spectrometry was performed on an ion trap mass spectrometer using automated data-dependent MS/MS procedures. Tandem mass spectra were collected from the five most abundant ions in each scan using dynamic and isotopic exclusion to minimize redundancy. The spectra were analyzed by a version of the SEQUEST algorithm modified to identify amino acid substations resulting from SNPs.

Amino Acid Sequence↗

Proteomics of rat liver Golgi complex: minor proteins are identified through sequential fractionation.

The discovery of novel proteins resident to the Golgi complex will fuel our future studies of Golgi structure/function and provide justification for proteomic analysis of this organelle. Our approach to Golgi proteomics was to first isolate and characterize the intact organelle free of proteins in transit by use of tissue pretreated with cycloheximide. Then the stacked Golgi fraction was fractionated into biochemically defined subfractions: Triton X-114 insoluble, aqueous, and detergent phases. The aqueous and detergent phases were further fractionated by anion-exchange column chromatography. In addition, radiolabeled cytosol was incubated with stacked Golgi fractions containing proteins in transit, and the proteins bound to the Golgi stacks in an energy-dependent manner were characterized. All fractions were analyzed by two-dimensional (2-D) gel electrophoresis and identification numbers were given to 588 unique 2-D spots. Tandem mass spectrometry was used to analyze 93 of the most abundant 2-D spots taken from preparative Triton X-114 insoluble, aqueous and detergent phase 2-D gels. Fifty-one known and 22 unknown proteins were identified. This study represents the first installment in the mammalian Golgi proteome database. Our data suggest that cell fractionation followed by biochemical dissection of specific classes of molecules provides a significant advantage for the identification of low abundance proteins in organelles.

Animals↗

Identification of proteins in complexes by solid-phase microextraction/multistep elution/capillary electrophoresis/tandem mass spectrometry.

A method to directly identify proteins in complex mixtures by solid-phase microextraction (micro-SPE)/multistep elution/capillary electrophoresis (CE)/tandem mass spectrometry (MS/MS) is described. A sheathless liquid-metal junction interface is used to interface CE and electrospray ionization MS/MS. A subfemtomole detection limit is achieved for protein identification through database searching using MS/MS data. The SPE serves as a semiseparation dimension using an organic-phase step-elution gradient in combination with the second separation dimension for increased resolving power of complex peptide mixtures. This approach improves the concentration detection limit for CE and allows more proteins in complex mixtures to be identified. A 75-protein complex from yeast ribosome is analyzed using this method and 80-90% of the proteins in the complex can be identified by searching the database using the MS/MS data from a complete analysis. This multidimensional CE/MS/MS methodology provides an alternative to multidimensional liquid chromatography/MS/MS for direct identification of small amounts of protein in mixtures.

Electrophoresis, Capillary↗

Method to compare collision-induced dissociation spectra of peptides: potential for library searching and subtractive analysis.

We report the development of a method to compare collision-induced dissociation (CID) spectra of peptides. This method employs a cross-correlation analysis of a CID spectrum to a reference spectrum and normalizes the cross-correlation score to the autocorrelation of the CID spectra. The query spectrum is compared by using both mass information and fragmentation patterns. Fragmentation patterns are compared to each other using a correlation function. To evaluate the specificity of the approach, a set of 2180 tandem mass spectra obtained from both triple-quadrupole tandem mass spectrometers (TSQ) and quadrupole ion trap mass spectrometers (LCQ) was created. Comparisons are performed between tandem mass spectra obtained on the same instrument type as well as between different instrument types. Accurate and reliable comparisons are demonstrated in both types of analyses. The scores obtained in the cross-comparison of TSQ and LCQ tandem mass spectra of the same peptide are found to be slightly lower than comparisons performed with spectra obtained on the same instrument type. The method appears insensitive to variations in day-to-day performance of the instrument, minor variations in fragment ion abundance, and instrumental differences inherent in the same instrument model. The use of this method of comparison is demonstrated for library searching and subtractive analysis of tandem mass spectra obtained during LC/MS/MS experiments.

Algorithms↗

High throughput protein characterization by automated reverse-phase chromatography/electrospray tandem mass spectrometry.

We describe an integrated workstation for the automated, high-throughput, and conclusive identification of proteins by reverse-phase chromatography electrospray ionization tandem mass spectrometry. The instrumentation consists of a refrigerated autosampler, a submicrobore reverse-phase liquid chromatograph, and an electrospray triple quadrupole mass spectrometer. For protein identification, enzymatic digests of either homogeneous polypeptides or simple protein mixtures were generated and loaded into the autosampler. Samples were sequentially injected every 32 min. Ions of eluting peptides were automatically selected by the mass spectrometer and subjected to collision-induced dissociation. Following each run, the resulting tandem mass spectra were automatically analyzed by SEQUEST, a program that correlates uninterpreted peptide fragmentation patterns with amino acid sequences contained in databases. Protein identification was established by SEQUEST_SUMMARY a program that combines the SEQUEST scores of peptides originating from the same protein and ranks the cumulative results in a short summary. The workstation's performance was demonstrated by the unattended identification of 90 proteins from the yeast Saccharomyces cerevisiae, which were separated by high-resolution two-dimensional PAGE. The system was found to be very robust and identification was reliably and conclusively established for proteins if quantities exceeding 1-5 pmol were applied to the gel. The level of automation, the throughput, and the reliability of the results suggest that this system will be useful for the many projects that require the characterization of large numbers of proteins.

Amino Acid Sequence↗

Emerging tandem-mass-spectrometry techniques for the rapid identification of proteins.

State-of-the-art techniques such as liquid-chromatography-electrospray-ionisation tandem mass spectrometry have, in conjunction with database-searching computer algorithms, revolutionised the analysis of biochemical species from complex biological mixtures. With these techniques, it is now possible to perform high-throughput protein identification at picomolar to subpicomolar levels from protein mixtures. This article provides an overview of the techniques and methodologies available for the structural elucidation and identification of proteins and peptides from complex biological samples.

Algorithms↗

Mining genomes: correlating tandem mass spectra of modified and unmodified peptides to sequences in nucleotide databases.

The correlation of uninterpreted tandem mass spectra of modified and unmodified peptides, produced under low-energy (10-50 eV) collision conditions, with nucleotide sequences is demonstrated. In this method nucleotide databases are translated in six reading frames, and the resulting amino acid sequences are searched "on the fly" to identify and fit linear sequences to the fragmentation patterns observed in the tandem mass spectra of peptides. A cross-correlation function is then used to provide a measurement of similarity between the mass-to-charge ratios for the fragment ions predicted by amino acid sequences translated from the nucleotide database and the fragment ions observed in the tandem mass spectrum. In general, a difference greater than 0.1 between the normalized cross-correlation functions for the first- and second-ranked search results indicates a successful match between sequence and spectrum. Measurements of the deviation from maximum similarity employing the spectral reconstruction method are made. The search method employing nucleotide databases is also demonstrated on the spectra of phosphorylated peptides. Specific sites of modification are identified even though no specific information relevant to sites of modification is contained in the character-based sequence information of nucleotide databases.

Amino Acid Sequence↗

Method to correlate tandem mass spectra of modified peptides to amino acid sequences in the protein database.

A method to correlate uninterpreted tandem mass spectra of modified peptides, produced under low-energy (10-50 eV) collision conditions, with amino acid sequences in a protein database has been developed. The fragmentation patterns observed in the tandem mass spectra of peptides containing covalent modifications is used to directly search and fit linear amino acid sequences in the database. Specific information relevant to sites of modification is not contained in the character-based sequence information of the databases. The search method considers each putative modification site as both modified and unmodified in one pass through the database and simultaneously considers up to three different sites of modification. The search method will identify the correct sequence if the tandem mass spectrum did not represent a modified peptide. This approach is demonstrated with peptides containing modifications such as S-carboxymethylated cysteine, oxidized methionine, phosphoserine, phosphothreonine, or phosphotyrosine. In addition, a scanning approach is used in which neutral loss scans are used to initiate the acquisition of product ion MS/MS spectra of doubly charged phosphorylated peptides during a single chromatographic run for data analysis with the database-searching algorithm. The approach described in this paper provides a convenient method to match the nascent tandem mass spectra of modified peptides to sequences in a protein database and thereby identify previously unknown sites of modification.

Algorithms↗

Direct database searching with MALDI-PSD spectra of peptides.

The analysis of matrix-assisted laser desorption ionization post-source decay (MALDI-PSD) mass spectra of peptides by using the cross-correlation method for database searching is illustrated. MALDI-PSD mass spectra are shown to contain sufficient fragmentation information to uniquely identify the correct amino acid sequence from large protein databases (approximately 160,000 entries). A search employing the MALDI-PSD mass spectrum of a phosphorylated peptide that correctly identifies the amino acid sequence and the site of phosphorylation is also illustrated.

Amino Acid Sequence↗