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John Rush

Publications and source records attributed to John Rush.

12 recordsLinked to original sources

A probability-based approach for high-throughput protein phosphorylation analysis and site localization.

Data analysis and interpretation remain major logistical challenges when attempting to identify large numbers of protein phosphorylation sites by nanoscale reverse-phase liquid chromatography/tandem mass spectrometry (LC-MS/MS) (Supplementary Figure 1 online). In this report we address challenges that are often only addressable by laborious manual validation, including data set error, data set sensitivity and phosphorylation site localization. We provide a large-scale phosphorylation data set with a measured error rate as determined by the target-decoy approach, we demonstrate an approach to maximize data set sensitivity by efficiently distracting incorrect peptide spectral matches (PSMs), and we present a probability-based score, the Ascore, that measures the probability of correct phosphorylation site localization based on the presence and intensity of site-determining ions in MS/MS spectra. We applied our methods in a fully automated fashion to nocodazole-arrested HeLa cell lysate where we identified 1,761 nonredundant phosphorylation sites from 491 proteins with a peptide false-positive rate of 1.3%.

Algorithms↗

Phosphotyrosine profiling identifies the KG-1 cell line as a model for the study of FGFR1 fusions in acute myeloid leukemia.

The 8p11 myeloproliferative syndrome (EMS) is associated with translocations that disrupt the FGFR1 gene. To date, 8 fusion partners of FGFR1 have been identified. However, no primary leukemia cell lines were identified that contain any of these fusions. Here, we screened more than 40 acute myeloid leukemia cell lines for constitutive phosphorylation of STAT5 and applied an immunoaffinity profiling strategy to identify tyrosine-phosphorylated proteins in the KG-1 cell line. Mass spectrometry analysis of KG-1 cells revealed aberrant tyrosine phosphorylation of FGFR1. Subsequent analysis led to the identification of a fusion of the FGFR1OP2 gene to the FGFR1 gene. Small interfering RNA (siRNA) against FGFR1 specifically inhibited the growth and induced apoptosis of KG-1 cells. Thus, the KG-1 cell line provides an in vitro model for the study of FGFR1 fusions associated with leukemia and for the analysis of small molecule inhibitors against FGFR1 fusions.

Apoptosis↗

Quantitative analysis of in vitro ubiquitinated cyclin B1 reveals complex chain topology.

Protein ubiquitination regulates many cellular processes, including protein degradation, signal transduction, DNA repair and cell division. In the classical model, a uniform polyubiquitin chain that is linked through Lys 48 is required for recognition and degradation by the 26S proteasome. Here, we used a reconstituted system and quantitative mass spectrometry to demonstrate that cyclin B1 is modified by ubiquitin chains of complex topology, rather than by homogeneous Lys 48-linked chains. The anaphase-promoting complex was found to attach monoubiquitin to multiple lysine residues on cyclin B1, followed by poly-ubiquitin chain extensions linked through multiple lysine residues of ubiquitin (Lys 63, Lys 11 and Lys 48). These heterogeneous ubiquitin chains were sufficient for binding to ubiquitin receptors, as well as for degradation by the 26S proteasome, even when they were synthesized with mutant ubiquitin that lacked Lys 48. Together, our observations expand the context of what can be considered to be a sufficient degradation signal and provide unique insights into the mechanisms of substrate ubiquitination.

Amino Acid Sequence↗

Relative and absolute quantification of postsynaptic density proteome isolated from rat forebrain and cerebellum.

The postsynaptic density (PSD) of central excitatory synapses is essential for postsynaptic signaling, and its components are heterogeneous among different neuronal subtypes and brain structures. Here we report large scale relative and absolute quantification of proteins in PSDs purified from adult rat forebrain and cerebellum. PSD protein profiles were determined using the cleavable ICAT strategy and LC-MS/MS. A total of 296 proteins were identified and quantified with 43 proteins exhibiting statistically significant abundance change between forebrain and cerebellum, indicating marked molecular heterogeneity of PSDs between different brain regions. Moreover we utilized absolute quantification strategy, in which synthetic isotope-labeled peptides were used as internal standards, to measure the molar abundance of 32 key PSD proteins in forebrain and cerebellum. These data confirm the abundance of calcium/calmodulin-dependent protein kinase II and PSD-95 and reveal unexpected stoichiometric ratios between glutamate receptors, scaffold proteins, and signaling molecules in the PSD. Our data also demonstrate that the absolute quantification method is well suited for targeted quantitative proteomic analysis. Overall this study delineates a crucial molecular difference between forebrain and cerebellar PSDs and provides a quantitative framework for measuring the molecular stoichiometry of the PSD.

Animals↗

A common phosphotyrosine signature for the Bcr-Abl kinase.

The Bcr-Abl fusion kinase drives oncogenesis in chronic myeloid leukemia (CML). CML patients are currently treated with the Abl tyrosine kinase inhibitor imatinib, which is effective in early stages of the disease. However, resistance to imatinib arises in later disease stages primarily because of a Bcr-Abl mutation. To gain deeper insight into Bcr-Abl signaling pathways, we generated phosphotyrosine profiles for 6 cell lines that represent 3 Bcr-Abl fusion types by using immunoaffinity purification of tyrosine phosphopeptides followed by tandem mass spectrometry. We identified 188 nonredundant tyrosine-phosphorylated sites, 77 of which are novel. By comparing the profiles, we found a number of phosphotyrosine sites common to the 6 cell lines regardless of cellular background and fusion type, several of which are decreased by imatinib treatment. Comparison of this Bcr-Abl signature with the profile of cells expressing an alternative imatinib-sensitive fusion kinase, FIP1L1-PDGFRalpha, revealed that these kinases signal through different pathways. This phosphoproteomic study of the Bcr-Abl fusion kinase highlights novel disease markers and potential drug-responsive biomarkers and adds novel insight into the oncogenic signals driven by the Bcr-Abl kinase.

Benzamides↗

Phosphorylation analysis by mass spectrometry: myths, facts, and the consequences for qualitative and quantitative measurements.

The mass spectrometric analysis of protein phosphorylation is still far from being routine, and the outcomes thereof are often unsatisfying. Apart from the inherent problem of substoichiometric phosphorylation, three arguments as to why phosphorylation analysis is so problematic are often quoted, including (a) increased hydrophilicity of the phosphopeptide with a concomitant loss during the loading onto reversed-phase columns, (b) selective suppression of the ionization of phosphopeptides in the presence of unmodified peptides, and (c) lower ionization/detection efficiencies of phosphopeptides as compared with their unmodified cognates. Here we present the results of a study investigating the validity of these three arguments when using electrospray ionization mass spectrometry. We utilized a set of synthetic peptide/phosphopeptide pairs that were quantitated by amino acid analysis. Under the applied conditions none of the experiments performed supports the notions of (a) generally increased risks of losing phosphopeptides during the loading onto the reversed-phase column because of decreased retention and (b) the selective ionization suppression of phosphopeptides. The issue of ionization/detection efficiencies of phosphopeptides versus their unphosphorylated cognates proved to be less straightforward when using electrospray ionization because no evidence for decreased ionization/detection efficiencies for phosphopeptides could be found.

Chromatography, High Pressure Liquid↗

Time-resolved mass spectrometry of tyrosine phosphorylation sites in the epidermal growth factor receptor signaling network reveals dynamic modules.

Ligand binding to cell surface receptors initiates a cascade of signaling events regulated by dynamic phosphorylation events on a multitude of pathway proteins. Quantitative features, including intensity, timing, and duration of phosphorylation of particular residues, may play a role in determining cellular response, but experimental data required for analysis of these features have not previously been available. To understand the dynamic operation of signaling cascades, we have developed a method enabling the simultaneous quantification of tyrosine phosphorylation of specific residues on dozens of key proteins in a time-resolved manner, downstream of epidermal growth factor receptor (EGFR) activation. Tryptic peptides from four different EGFR stimulation time points were labeled with four isoforms of the iTRAQ reagent to enable downstream quantification. After mixing of the labeled samples, tyrosine-phosphorylated peptides were immunoprecipitated with an anti-phosphotyrosine antibody and further enriched by IMAC before LC/MS/MS analysis. Database searching and manual confirmation of peptide phosphorylation site assignments led to the identification of 78 tyrosine phosphorylation sites on 58 proteins from a single analysis. Replicate analyses of a separate biological sample provided both validation of this first data set and identification of 26 additional tyrosine phosphorylation sites and 18 additional proteins. iTRAQ fragment ion ratios provided time course phosphorylation profiles for each site. The data set of quantitative temporal phosphorylation profiles was further characterized by self-organizing maps, which resulted in identification of several cohorts of tyrosine residues exhibiting self-similar temporal phosphorylation profiles, operationally defining dynamic modules in the EGFR signaling network consistent with particular cellular processes. The presence of novel proteins and associated tyrosine phosphorylation sites within these modules indicates additional components of this network and potentially localizes the topological action of these proteins. Additional analysis and modeling of the data generated in this study are likely to yield more sophisticated models of receptor tyrosine kinase-initiated signal transduction, trafficking, and regulation.

Blotting, Western↗

High throughput proteome screening for biomarker detection.

Mass spectrometry-based quantitative proteomics has become an important component of biological and clinical research. Current methods, while highly developed and powerful, are falling short of their goal of routinely analyzing whole proteomes mainly because the wealth of proteomic information accumulated from prior studies is not used for the planning or interpretation of present experiments. The consequence of this situation is that in every proteomic experiment the proteome is rediscovered. In this report we describe an approach for quantitative proteomics that builds on the extensive prior knowledge of proteomes and a platform for the implementation of the method. The method is based on the selection and chemical synthesis of isotopically labeled reference peptides that uniquely identify a particular protein and the addition of a panel of such peptides to the sample mixture consisting of tryptic peptides from the proteome in question. The platform consists of a peptide separation module for the generation of ordered peptide arrays from the combined peptide sample on the sample plate of a MALDI mass spectrometer, a high throughput MALDI-TOF/TOF mass spectrometer, and a suite of software tools for the selective analysis of the targeted peptides and the interpretation of the results. Applying the method to the analysis of the human blood serum proteome we demonstrate the feasibility of using mass spectrometry-based proteomics as a high throughput screening technology for the detection and quantification of targeted proteins in a complex system.

Automation↗

Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.

Tyrosine kinases play a prominent role in human cancer, yet the oncogenic signaling pathways driving cell proliferation and survival have been difficult to identify, in part because of the complexity of the pathways and in part because of low cellular levels of tyrosine phosphorylation. In general, global phosphoproteomic approaches reveal small numbers of peptides containing phosphotyrosine. We have developed a strategy that emphasizes the phosphotyrosine component of the phosphoproteome and identifies large numbers of tyrosine phosphorylation sites. Peptides containing phosphotyrosine are isolated directly from protease-digested cellular protein extracts with a phosphotyrosine-specific antibody and are identified by tandem mass spectrometry. Applying this approach to several cell systems, including cancer cell lines, shows it can be used to identify activated protein kinases and their phosphorylated substrates without prior knowledge of the signaling networks that are activated, a first step in profiling normal and oncogenic signaling networks.

Animals↗

Producing peptide arrays for epitope mapping by intein-mediated protein ligation.

Peptide arrays are increasingly used to define antibody epitopes and substrate specificities of protein kinases. Their use is hampered, however, by ineffective and variable binding efficiency of peptides, which often results in low sensitivity and inconsistent results. To overcome these limitations, we have developed a novel method for making arrays of synthetic peptides on various membranes after ligating the peptide substrates to an intein-generated carrier protein. We have conducted screening for optimal carrier proteins by immunoreactivity and direct assessment of binding using a peptide derivatized at a lysine sidechain with fluorescein, CDPEK(fluorescein)DS. Ligation of a synthetic peptide antigen to a carrier protein, HhaI methylase, resulted in an improved retention of peptides and an increased sensitivity of up to 10(4)-fold in immunoassay- and epitope-scanning experiments. Denaturing the ligation products with 2% sodium dodecyl sulfate (SDS) or an organic solvent (20% methanol) prior to arraying did not significantly affect the immunoreactivity of the HhaI methylase-peptide product. Because the carrier protein dominates the binding of ligation products and contains one peptide reactive site, the amount of peptide arrayed onto the membranes can be effectively normalized. This technique was utilized in the alanine scanning of hemagglutinin (HA) antigen using two monoclonal antibodies, resulting in distinguishing the different antigen epitope profiles. Furthermore, we show that this method can be used to characterize the antibodies that recognize phosphorylated peptides. This novel approach allows for synthetic peptides to be uniformly arrayed onto membranes, compatible with a variety of applications.

Antibodies, Monoclonal↗

Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS.

A need exists for technologies that permit the direct quantification of differences in protein and posttranslationally modified protein expression levels. Here we present a strategy for the absolute quantification (termed AQUA) of proteins and their modification states. Peptides are synthesized with incorporated stable isotopes as ideal internal standards to mimic native peptides formed by proteolysis. These synthetic peptides can also be prepared with covalent modifications (e.g., phosphorylation, methylation, acetylation, etc.) that are chemically identical to naturally occurring posttranslational modifications. Such AQUA internal standard peptides are then used to precisely and quantitatively measure the absolute levels of proteins and posttranslationally modified proteins after proteolysis by using a selected reaction monitoring analysis in a tandem mass spectrometer. In the present work, the AQUA strategy was used to (i) quantify low abundance yeast proteins involved in gene silencing, (ii) quantitatively determine the cell cycle-dependent phosphorylation of Ser-1126 of human separase protein, and (iii) identify kinases capable of phosphorylating Ser-1501 of separase in an in vitro kinase assay. The methods described here represent focused, alternative approaches for studying the dynamically changing proteome.

Amino Acid Sequence↗