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John H. Robinson

Researcher at Amgen

Publications -  12
Citations -  775

John H. Robinson is an academic researcher from Amgen. The author has contributed to research in topics: Mass spectrometry & Protein mass spectrometry. The author has an hindex of 9, co-authored 12 publications receiving 745 citations.

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Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry. I. Profiling an unfractionated tryptic digest.

TL;DR: The proteome of normal male urine from a commercial pooled source has been examined using direct liquid chromatography‐tandem mass spectrometry (LC‐MS/MS), and the experimental time for these analyses was less than that required to run a single two‐dimensional gel.
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Automated LC-LC-MS-MS platform using binary ion-exchange and gradient reversed-phase chromatography for improved proteomic analyses.

TL;DR: Off-line validation of the platform showed near quantitative recovery of fractionated peptides and essentially complete ion-exchange partitioning, and in comparative analyses of a highly complex peptide digest mixture a >40% increase in the number of peptide and protein identifications was achieved.
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Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry. II. Limitations of complex mixture analyses.

TL;DR: Operational and post‐analysis strategies are presented to restore data confidence and reconcile the greatest number of matched spectra and the impact on data fidelity as a product of data‐dependent selection of precursor ions from a dynamically excluded field is discussed.
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Simplification of complex peptide mixtures for proteomic analysis: reversible biotinylation of cysteinyl peptides.

TL;DR: An affinity selection method to capture cysteinyl peptides and thereby simplify the mixture and was applied to the analysis of a protein fraction obtained from isolated mitochondria treated with atractyloside.
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Optimization of capillary chromatography ion trap-mass spectrometry for identification of gel-separated proteins

TL;DR: Improved tandem mass spectrometry (MS/MS) spectra were generated, facilitating identification of proteins at a low pmol level, and application of this technology to the identification of a standard protein and an unknown from an affinity‐enriched mixture are shown.