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Dive into the research topics where Kenneth C. Parker is active.

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Featured researches published by Kenneth C. Parker.


Molecular & Cellular Proteomics | 2004

Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents

Philip L. Ross; Yulin N. Huang; Jason Marchese; Brian L. Williamson; Kenneth C. Parker; Stephen J. Hattan; Nikita Khainovski; Sasi Pillai; Subhakar Dey; Scott Daniels; Subhasish Purkayastha; Peter Juhasz; Stephen A. Martin; Michael Bartlet-Jones; Feng He; Allan Jacobson; Darryl Pappin

We describe here a multiplexed protein quantitation strategy that provides relative and absolute measurements of proteins in complex mixtures. At the core of this methodology is a multiplexed set of isobaric reagents that yield amine-derivatized peptides. The derivatized peptides are indistinguishable in MS, but exhibit intense low-mass MS/MS signature ions that support quantitation. In this study, we have examined the global protein expression of a wild-type yeast strain and the isogenic upf1Δ and xrn1Δ mutant strains that are defective in the nonsense-mediated mRNA decay and the general 5′ to 3′ decay pathways, respectively. We also demonstrate the use of 4-fold multiplexing to enable relative protein measurements simultaneously with determination of absolute levels of a target protein using synthetic isobaric peptide standards. We find that inactivation of Upf1p and Xrn1p causes common as well as unique effects on protein expression.


Journal of the American Society for Mass Spectrometry | 2001

Toward a High-Throughput Approach to Quantitative Proteomic Analysis: Expression-Dependent Protein Identification by Mass Spectrometry

Timothy J. Griffin; David K. M. Han; Steven P. Gygi; Beate Rist; Hookeun Lee; Ruedi Aebersold; Kenneth C. Parker

The isotope-coded affinity tag (ICAT) [1] technology enables the concurrent identification and comparative quantitative analysis of proteins present in biological samples such as cell and tissue extracts and biological fluids by mass spectrometry. The initial implementation of this technology was based on microcapillary chromatography coupled on-line with electrospray ionization tandem mass spectrometry. This implementation lacked the ability to select proteins for identification based on their relative abundance and therefore to focus on differentially expressed proteins. In order to improve the sample throughput of this technology, we have developed a two-step approach that is focused on those proteins for which the abundance changes between samples: First, a new software program for the automated quantification of ICAT reagent labeled peptides analyzed by microcapillary electrospray ionization time-of-flight mass spectrometry determines those peptides that differ in their abundance and second, these peptides are identified by tandem mass spectrometry using an electrospray quadrupole time-of flight mass spectrometer and sequence database searching. Results from the application of this approach to the analysis of differentially expressed proteins secreted from nontumorigenic human prostate epithelial cells and metastatic cancerous human prostate epithelial cells are shown.


Journal of the American Society for Mass Spectrometry | 2002

Scoring methods in MALDI peptide mass fingerprinting: ChemScore, and the ChemApplex program

Kenneth C. Parker

No universally accepted score is currently available to determine when a matrix-assisted laser desorption ionization (MALDI) peptide mass fingerprint (PMF) experiment has been successfully carried out. We describe a software program (ChemApplex) based on a calculated parameter (Combined Protein Score) that takes into account (1) peak intensity, (2) the mass accuracy of the match, and (3) ChemScore, a theoretical intensity factor that estimates the probability of observing a particular peptide based on a combination of chemical considerations, in particular the amino acid composition of the peptide and the amino acid sequence of the amino acids that span the cleavage site. When these three factors are taken into account both at the level of individual peptides and at the protein level, protein components in mixtures whose peptides contribute less than 1% of the total intensity can often be correctly identified, as is demonstrated for mixtures of standard proteins. Moreover, it is possible to make robust database identifications that are nearly independent of the number of masses submitted and the mass error threshold used for matching. Protein scoring based on Combined Protein Score is orthogonal to many of the commonly used probability-based scoring schemes, and makes it possible to archive a more complete set of parameters that more thoroughly characterize the validity of the database match, which increases the confidence in the identifications.


Molecular & Cellular Proteomics | 2004

Depth of Proteome Issues A Yeast Isotope-Coded Affinity Tag Reagent Study

Kenneth C. Parker; Dale H. Patterson; Brian L. Williamson; Jason Marchese; Armin Graber; Feng He; Allan Jacobson; Peter Juhasz; Stephen A. Martin

As a test case for optimizing how to perform proteomics experiments, we chose a yeast model system in which the UPF1 gene, a protein involved in nonsense-mediated mRNA decay, was knocked out by homologous recombination. The results from five complete isotope-coded affinity tag (ICAT) experiments were combined, two using matrix-assisted laser desorption/ionization (MALDI) tandem mass spectrometry (MS/MS) and three using electrospray MS/MS. We sought to assess the reproducibility of peptide identification and to develop an informatics structure that characterizes the identification process as well as possible, especially with regard to tenuous identifications. The cleavable form of the ICAT reagent system (Gygi et al. (1999) Nat. Biotechnol. 17, 994–999) was used for quantification. Most proteins did not change significantly in expression as a consequence of the upf1 knockout. As expected, the Upf1 protein itself was down-regulated, and there were reproducible increases in expression of proteins involved in arginine biosynthesis. Initially, it seemed that about 10% of the proteins had changed in expression level, but after more thorough examination of the data it turned out that most of these apparent changes could be explained by artifacts of quantification caused by overlapping heavy/light pairs. About 700 proteins altogether were identified with high confidence and quantified. Many peptides with chemical modifications were identified, as well as peptides with noncanonical tryptic termini. Nearly all of these modified peptides corresponded to the most abundant yeast proteins, and some would otherwise have been attributed to “single hit” proteins at low confidence. To improve our confidence in the identifications, in MALDI experiments, the parent masses for the peptides were calibrated against nearby components. In addition, five novel parameters reflecting different aspects of identification were collected for each spectrum in addition to the Mascot score that was originally used. The interrelationship between these scoring parameters and confidence in protein identification is discussed.


Journal of the American Society for Mass Spectrometry | 2016

Analysis and Quantitation of Glycated Hemoglobin by Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry

Stephen J. Hattan; Kenneth C. Parker; Marvin L. Vestal; Jane Y. Yang; David A. Herold; Mark W. Duncan

AbstractMeasurement of glycated hemoglobin is widely used for the diagnosis and monitoring of diabetes mellitus. Matrix assisted laser desorption/ionization (MALDI) time of flight (TOF) mass spectrometry (MS) analysis of patient samples is used to demonstrate a method for quantitation of total glycation on the β-subunit of hemoglobin. The approach is accurate and calibrated with commercially available reference materials. Measurements were linear (R2 > 0.99) across the clinically relevant range of 4% to 20% glycation with coefficients of variation of ≤ 2.5%. Additional and independent measurements of glycation of the α-subunit of hemoglobin are used to validate β-subunit glycation measurements and distinguish hemoglobin variants. Results obtained by MALDI-TOF MS were compared with those obtained in a clinical laboratory using validated HPLC methodology. MALDI-TOF MS sample preparation was minimal and analysis times were rapid making the method an attractive alternative to methodologies currently in practice. Graphical Abstractᅟ


Analytical Chemistry | 2015

Bifunctional glass membrane designed to interface SDS-PAGE separations of proteins with the detection of peptides by mass spectrometry.

Stephen J. Hattan; Jie Du; Kenneth C. Parker

We describe the construction and characterization of a novel membrane designed to allow proteins separated by gel electrophoresis (SDS-PAGE) to be detected as peptides by mass spectrometry in an efficient and comprehensive manner. The key attribute of the membrane is a bifunctional design that allows for the digestion of protein(s) and retention of the resulting peptides with minimal lateral diffusion. Silane chemistries are used to differentially treat the opposing surfaces of a glass filter paper to enable this unique capability.


Electrophoresis | 1998

Identification of yeast proteins from two‐dimensional gels: Working out spot cross‐contamination

Kenneth C. Parker; James I. Garrels; Wade M. Hines; Erin M. Butler; Andrew H. Z. McKee; Dale H. Patterson; S. Martin


Archive | 2002

Process for analyzing protein samples

Kenneth C. Parker; Timothy K. Nadler; George Vella; Yulin Huang; Rudolf H. Aebersold; Marcus B. Smolka


Analytical Chemistry | 2006

Methodology Utilizing MS Signal Intensity and LC Retention Time for Quantitative Analysis and Precursor Ion Selection in Proteomic LC-MALDI Analyses

Stephen J. Hattan; Kenneth C. Parker


Proteomics | 2004

Result-driven strategies for protein identification and quantitation – a way to optimize experimental design and derive reliable results

Armin Graber; Peter Juhasz; Nikita Khainovski; Kenneth C. Parker; Dale Patterson; Stephen A. Martin

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Stephen A. Martin

Wellcome Trust Sanger Institute

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Feng He

University of Massachusetts Medical School

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