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Jimmy K. Eng

Researcher at University of Washington

Publications -  171
Citations -  37832

Jimmy K. Eng is an academic researcher from University of Washington. The author has contributed to research in topics: Mass spectrometry & Proteome. The author has an hindex of 77, co-authored 168 publications receiving 35701 citations. Previous affiliations of Jimmy K. Eng include Oregon Health & Science University & Fred Hutchinson Cancer Research Center.

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An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

TL;DR: The approach described in this manuscript provides a convenient method to interpret tandem mass spectra with known sequences in a protein database.
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The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5.

TL;DR: It is reported 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-κB and stimulates tumour necrosis factor-α production, and the data suggest thatTLR5, a member of the evolutionarily conserved Toll-like receptor family, has evolved to permit mammals specifically to detect flageLLated bacterial pathogens.
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Direct analysis of protein complexes using mass spectrometry

TL;DR: A rapid, sensitive process for comprehensively identifying proteins in macromolecular complexes that uses multidimensional liquid chromatography and tandem mass spectrometry to separate and fragment peptides is described.
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Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

TL;DR: 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, suggests hypotheses about the regulation of galactose utilization and physical interactions between this and a variety of other metabolic pathways.
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Method to Correlate Tandem Mass Spectra of Modified Peptides to Amino Acid Sequences in the Protein Database

TL;DR: 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.