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Results: 1 to 10 of 153

Publication Record


Micro-Data-Independent Acquisition for High-Throughput Proteomics and Sensitive Peptide Mass Spectrum Identification.
Heaven MR, Cobbs AL, Nei YW, Gutierrez DB, Herren AW, Gunawardena HP, Caprioli RM, Norris JL
(2018) Anal Chem 90: 8905-8911
MeSH Terms: Algorithms, Chromatography, Liquid, Databases, Protein, Escherichia coli, Escherichia coli Proteins, HeLa Cells, High-Throughput Screening Assays, Humans, Peptides, Proteome, Proteomics, Software, Tandem Mass Spectrometry, Workflow
Show Abstract · Added August 27, 2018
State-of-the-art strategies for proteomics are not able to rapidly interrogate complex peptide mixtures in an untargeted manner with sensitive peptide and protein identification rates. We describe a data-independent acquisition (DIA) approach, microDIA (μDIA), that applies a novel tandem mass spectrometry (MS/MS) mass spectral deconvolution method to increase the specificity of tandem mass spectra acquired during proteomics experiments. Using the μDIA approach with a 10 min liquid chromatography gradient allowed detection of 3.1-fold more HeLa proteins than the results obtained from data-dependent acquisition (DDA) of the same samples. Additionally, we found the μDIA MS/MS deconvolution procedure is critical for resolving modified peptides with relatively small precursor mass shifts that cause the same peptide sequence in modified and unmodified forms to theoretically cofragment in the same raw MS/MS spectra. The μDIA workflow is implemented in the PROTALIZER software tool which fully automates tandem mass spectral deconvolution, queries every peptide with a library-free search algorithm against a user-defined protein database, and confidently identifies multiple peptides in a single tandem mass spectrum. We also benchmarked μDIA against DDA using a 90 min gradient analysis of HeLa and Escherichia coli peptides that were mixed in predefined quantitative ratios, and our results showed μDIA provided 24% more true positives at the same false positive rate.
0 Communities
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14 MeSH Terms
Amyloid Accumulation Drives Proteome-wide Alterations in Mouse Models of Alzheimer's Disease-like Pathology.
Savas JN, Wang YZ, DeNardo LA, Martinez-Bartolome S, McClatchy DB, Hark TJ, Shanks NF, Cozzolino KA, Lavallée-Adam M, Smukowski SN, Park SK, Kelly JW, Koo EH, Nakagawa T, Masliah E, Ghosh A, Yates JR
(2017) Cell Rep 21: 2614-2627
MeSH Terms: Alzheimer Disease, Amyloid beta-Peptides, Animals, Apolipoproteins E, Brain, Calcium Channels, Computational Biology, Female, Mass Spectrometry, Mice, Mice, Inbred C57BL, Proteome
Show Abstract · Added March 21, 2018
Amyloid beta (Aβ) peptides impair multiple cellular pathways and play a causative role in Alzheimer's disease (AD) pathology, but how the brain proteome is remodeled by this process is unknown. To identify protein networks associated with AD-like pathology, we performed global quantitative proteomic analysis in three mouse models at young and old ages. Our analysis revealed a robust increase in Apolipoprotein E (ApoE) levels in nearly all brain regions with increased Aβ levels. Taken together with prior findings on ApoE driving Aβ accumulation, this analysis points to a pathological dysregulation of the ApoE-Aβ axis. We also found dysregulation of protein networks involved in excitatory synaptic transmission. Analysis of the AMPA receptor (AMPAR) complex revealed specific loss of TARPγ-2, a key AMPAR-trafficking protein. Expression of TARPγ-2 in hAPP transgenic mice restored AMPA currents. This proteomic database represents a resource for the identification of protein alterations responsible for AD.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.
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12 MeSH Terms
Hydrogen Sulfide and Reactive Sulfur Species Impact Proteome S-Sulfhydration and Global Virulence Regulation in Staphylococcus aureus.
Peng H, Zhang Y, Palmer LD, Kehl-Fie TE, Skaar EP, Trinidad JC, Giedroc DP
(2017) ACS Infect Dis 3: 744-755
MeSH Terms: Gene Expression Regulation, Bacterial, Hydrogen Sulfide, Proteome, Staphylococcus aureus, Sulfur, Virulence
Show Abstract · Added September 23, 2017
Hydrogen sulfide (HS) is thought to protect bacteria from oxidative stress, but a comprehensive understanding of its function in bacteria is largely unexplored. In this study, we show that the human pathogen Staphylococcus aureus (S. aureus) harbors significant effector molecules of HS signaling, reactive sulfur species (RSS), as low molecular weight persulfides of bacillithiol, coenzyme A, and cysteine, and significant inorganic polysulfide species. We find that proteome S-sulfhydration, a post-translational modification (PTM) in HS signaling, is widespread in S. aureus. RSS levels modulate the expression of secreted virulence factors and the cytotoxicity of the secretome, consistent with an S-sulfhydration-dependent inhibition of DNA binding by MgrA, a global virulence regulator. Two previously uncharacterized thioredoxin-like proteins, denoted TrxP and TrxQ, are S-sulfhydrated in sulfide-stressed cells and are capable of reducing protein hydrodisulfides, suggesting that this PTM is potentially regulatory in S. aureus. In conclusion, our results reveal that S. aureus harbors a pool of proteome- and metabolite-derived RSS capable of impacting protein activities and gene regulation and that HS signaling can be sensed by global regulators to affect the expression of virulence factors.
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6 MeSH Terms
Colorectal Cancer Cell Line Proteomes Are Representative of Primary Tumors and Predict Drug Sensitivity.
Wang J, Mouradov D, Wang X, Jorissen RN, Chambers MC, Zimmerman LJ, Vasaikar S, Love CG, Li S, Lowes K, Leuchowius KJ, Jousset H, Weinstock J, Yau C, Mariadason J, Shi Z, Ban Y, Chen X, Coffey RJC, Slebos RJC, Burgess AW, Liebler DC, Zhang B, Sieber OM
(2017) Gastroenterology 153: 1082-1095
MeSH Terms: Antineoplastic Agents, Biomarkers, Tumor, Cell Line, Tumor, Chromatography, Liquid, Colorectal Neoplasms, Databases, Protein, Dose-Response Relationship, Drug, Drug Screening Assays, Antitumor, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Mutation, Neoplasm Proteins, Patient Selection, Polymorphism, Single Nucleotide, Precision Medicine, Proteome, Proteomics, Signal Transduction, Stromal Cells, Tandem Mass Spectrometry, Transcriptome, Tumor Microenvironment
Show Abstract · Added July 17, 2017
BACKGROUND AND AIMS - Proteomics holds promise for individualizing cancer treatment. We analyzed to what extent the proteomic landscape of human colorectal cancer (CRC) is maintained in established CRC cell lines and the utility of proteomics for predicting therapeutic responses.
METHODS - Proteomic and transcriptomic analyses were performed on 44 CRC cell lines, compared against primary CRCs (n=95) and normal tissues (n=60), and integrated with genomic and drug sensitivity data.
RESULTS - Cell lines mirrored the proteomic aberrations of primary tumors, in particular for intrinsic programs. Tumor relationships of protein expression with DNA copy number aberrations and signatures of post-transcriptional regulation were recapitulated in cell lines. The 5 proteomic subtypes previously identified in tumors were represented among cell lines. Nonetheless, systematic differences between cell line and tumor proteomes were apparent, attributable to stroma, extrinsic signaling, and growth conditions. Contribution of tumor stroma obscured signatures of DNA mismatch repair identified in cell lines with a hypermutation phenotype. Global proteomic data showed improved utility for predicting both known drug-target relationships and overall drug sensitivity as compared with genomic or transcriptomic measurements. Inhibition of targetable proteins associated with drug responses further identified corresponding synergistic or antagonistic drug combinations. Our data provide evidence for CRC proteomic subtype-specific drug responses.
CONCLUSIONS - Proteomes of established CRC cell line are representative of primary tumors. Proteomic data tend to exhibit improved prediction of drug sensitivity as compared with genomic and transcriptomic profiles. Our integrative proteogenomic analysis highlights the potential of proteome profiling to inform personalized cancer medicine.
Copyright © 2017 AGA Institute. Published by Elsevier Inc. All rights reserved.
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23 MeSH Terms
Proteomics show antigen presentation processes in human immune cells after AS03-H5N1 vaccination.
Galassie AC, Goll JB, Samir P, Jensen TL, Hoek KL, Howard LM, Allos TM, Niu X, Gordy LE, Creech CB, Hill H, Joyce S, Edwards KM, Link AJ
(2017) Proteomics 17:
MeSH Terms: Adjuvants, Immunologic, Antigen Presentation, B-Lymphocytes, Cells, Cultured, Humans, Influenza A Virus, H5N1 Subtype, Influenza Vaccines, Influenza, Human, Killer Cells, Natural, Monocytes, Neutrophils, Protein Interaction Maps, Proteome, Proteomics, T-Lymphocytes
Show Abstract · Added August 15, 2017
Adjuvants enhance immunity elicited by vaccines through mechanisms that are poorly understood. Using a systems biology approach, we investigated temporal protein expression changes in five primary human immune cell populations: neutrophils, monocytes, natural killer cells, T cells, and B cells after administration of either an Adjuvant System 03 adjuvanted or unadjuvanted split-virus H5N1 influenza vaccine. Monocytes demonstrated the strongest differential signal between vaccine groups. On day 3 post-vaccination, several antigen presentation-related pathways, including MHC class I-mediated antigen processing and presentation, were enriched in monocytes and neutrophils and expression of HLA class I proteins was increased in the Adjuvant System 03 group. We identified several protein families whose proteomic responses predicted seroprotective antibody responses (>1:40 hemagglutination inhibition titer), including inflammation and oxidative stress proteins at day 1 as well as immunoproteasome subunit (PSME1 and PSME2) and HLA class I proteins at day 3 in monocytes. While comparison between temporal proteomic and transcriptomic results showed little overlap overall, enrichment of the MHC class I antigen processing and presentation pathway in monocytes and neutrophils was confirmed by both approaches.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
1 Communities
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15 MeSH Terms
The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer.
Rahman SMJ, Ji X, Zimmerman LJ, Li M, Harris BK, Hoeksema MD, Trenary IA, Zou Y, Qian J, Slebos RJ, Beane J, Spira A, Shyr Y, Eisenberg R, Liebler DC, Young JD, Massion PP
(2016) JCI Insight 1: e88814
MeSH Terms: Bronchi, Cell Line, Epithelial Cells, Gene Expression Profiling, Humans, Lipid Metabolism, Lung Neoplasms, Metabolomics, Proteome, Respiratory Mucosa, Smoke, Smoking
Show Abstract · Added April 27, 2017
The molecular determinants of lung cancer risk remain largely unknown. Airway epithelial cells are prone to assault by risk factors and are considered to be the primary cell type involved in the field of cancerization. To investigate risk-associated changes in the bronchial epithelium proteome that may offer new insights into the molecular pathogenesis of lung cancer, proteins were identified in the airway epithelial cells of bronchial brushing specimens from risk-stratified individuals by shotgun proteomics. Differential expression of selected proteins was validated by parallel reaction monitoring mass spectrometry in an independent set of individual bronchial brushings. We identified 2,869 proteins, of which 312 proteins demonstrated a trend in expression. Pathway analysis revealed enrichment of carbohydrate metabolic enzymes in high-risk individuals. Glucose consumption and lactate production were increased in human bronchial epithelial BEAS2B cells treated with cigarette smoke condensate for 7 months. Increased lipid biosynthetic capacity and net reductive carboxylation were revealed by metabolic flux analyses of [U-C] glutamine in this in vitro model, suggesting profound metabolic reprogramming in the airway epithelium of high-risk individuals. These results provide a rationale for the development of potentially new chemopreventive strategies and selection of patients for surveillance programs.
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2 Members
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12 MeSH Terms
Changes in the Adult GluN2B Associated Proteome following Adolescent Intermittent Ethanol Exposure.
Swartzwelder HS, Risher ML, Miller KM, Colbran RJ, Winder DG, Wills TA
(2016) PLoS One 11: e0155951
MeSH Terms: Adolescent, Animals, Disease Models, Animal, Ethanol, Female, Hippocampus, Humans, Male, Protein Interaction Maps, Proteome, Proteomics, Rats, Sprague-Dawley, Receptors, N-Methyl-D-Aspartate, Signal Transduction, Underage Drinking
Show Abstract · Added April 26, 2017
Adolescent alcohol use is the strongest predictor for alcohol use disorders. In rodents, adolescents have distinct responses to acute ethanol, and prolonged alcohol exposure during adolescence can maintain these phenotypes into adulthood. One brain region that is particularly sensitive to the effects of both acute and chronic ethanol exposure is the hippocampus. Adolescent intermittent ethanol exposure (AIE) produces long lasting changes in hippocampal synaptic plasticity and dendritic morphology, as well as in the susceptibility to acute ethanol-induced spatial memory impairment. Given the pattern of changes in hippocampal structure and function, one potential target for these effects is the ethanol sensitive GluN2B subunit of the NMDA receptor, which is known to be involved in synaptic plasticity and dendritic morphology. Thus we sought to determine if there were persistent changes in hippocampal GluN2B signaling cascades following AIE. We employed a previously validated GluN2B-targeted proteomic strategy that was used to identify novel signaling mechanisms altered by chronic ethanol exposure in the adult hippocampus. We collected adult hippocampal tissue (P70) from rats that had been given 2 weeks of AIE from P30-45. Tissue extracts were fractionated into synaptic and non-synaptic pools, immuno-precipitated for GluN2B, and then analyzed using proteomic methods. We detected a large number of proteins associated with GluN2B. AIE produced significant changes in the association of many proteins with GluN2B in both synaptic and non-synaptic fractions. Intriguingly the number of proteins changed in the non-synaptic fraction was double that found in the synaptic fraction. Some of these proteins include those involved in glutamate signaling cytoskeleton rearrangement, calcium signaling, and plasticity. Disruptions in these pathways may contribute to the persistent cellular and behavioral changes found in the adult hippocampus following AIE. Further, the robust change in non-synaptic proteins suggests that AIE may prime this signaling pathway for future ethanol exposures in adulthood.
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15 MeSH Terms
Accumulation of isolevuglandin-modified protein in normal and fibrotic lung.
Mont S, Davies SS, Roberts Second LJ, Mernaugh RL, McDonald WH, Segal BH, Zackert W, Kropski JA, Blackwell TS, Sekhar KR, Galligan JJ, Massion PP, Marnett LJ, Travis EL, Freeman ML
(2016) Sci Rep 6: 24919
MeSH Terms: Animals, Chromatography, Liquid, Disease Models, Animal, Lung, Mass Spectrometry, Mice, Protein Processing, Post-Translational, Proteome, Pulmonary Fibrosis
Show Abstract · Added May 6, 2016
Protein lysine modification by γ-ketoaldehyde isomers derived from arachidonic acid, termed isolevuglandins (IsoLGs), is emerging as a mechanistic link between pathogenic reactive oxygen species and disease progression. However, the questions of whether covalent modification of proteins by IsoLGs are subject to genetic regulation and the identity of IsoLG-modified proteins remain unclear. Herein we show that Nrf2 and Nox2 are key regulators of IsoLG modification in pulmonary tissue and report on the identity of proteins analyzed by LC-MS following immunoaffinity purification of IsoLG-modified proteins. Gene ontology analysis revealed that proteins in numerous cellular pathways are susceptible to IsoLG modification. Although cells tolerate basal levels of modification, exceeding them induces apoptosis. We found prominent modification in a murine model of radiation-induced pulmonary fibrosis and in idiopathic pulmonary fibrosis, two diseases considered to be promoted by gene-regulated oxidant stress. Based on these results we hypothesize that IsoLG modification is a hitherto unrecognized sequelae that contributes to radiation-induced pulmonary injury and IPF.
2 Communities
4 Members
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9 MeSH Terms
Systematic evaluation of data-independent acquisition for sensitive and reproducible proteomics-a prototype design for a single injection assay.
Heaven MR, Funk AJ, Cobbs AL, Haffey WD, Norris JL, McCullumsmith RE, Greis KD
(2016) J Mass Spectrom 51: 1-11
MeSH Terms: Chromatography, Liquid, Escherichia coli, Escherichia coli Proteins, Flow Injection Analysis, Peptides, Proteome, Proteomics, Reproducibility of Results, Software, Tandem Mass Spectrometry
Show Abstract · Added August 17, 2016
Data-independent acquisition (DIA)-based proteomics has become increasingly complicated in recent years because of the vast number of workflows described, coupled with a lack of studies indicating a rational framework for selecting effective settings to use. To address this issue and provide a resource for the proteomics community, we compared 12 DIA methods that assay tryptic peptides using various mass-isolation windows. Our findings indicate that the most sensitive single injection LC-DIA method uses 6 m/z isolation windows to analyze the densely populated tryptic peptide range from 450 to 730 m/z, which allowed quantification of 4465 Escherichia coli peptides. In contrast, using the sequential windowed acquisition of all theoretical fragment-ions (SWATH) approach with 26 m/z isolation windows across the entire 400-1200 m/z range, allowed quantification of only 3309 peptides. This reduced sensitivity with 26 m/z windows is caused by an increase in co-eluting compounds with similar precursor values detected in the same tandem MS spectra, which lowers the signal-to-noise of peptide fragment-ion chromatograms and reduces the amount of low abundance peptides that can be quantified from 410 to 920 m/z. Above 920 m/z, more peptides were quantified with 26 m/z windows because of substantial peptide (13) C isotope distributions that parse peptide ions into separate isolation windows. Because reproducible quantification has been a long-standing aim of quantitative proteomics, and is a so-called trait of DIA, we sought to determine whether precursor-level chromatograms used in some methods rather than their fragment-level counterparts have similar precision. Our data show that extracted fragment-ion chromatograms are the reason DIA provides superior reproducibility. Copyright © 2015 John Wiley & Sons, Ltd.
Copyright © 2015 John Wiley & Sons, Ltd.
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1 Members
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10 MeSH Terms
Proteomic Analysis of Lipid Raft-Like Detergent-Resistant Membranes of Lens Fiber Cells.
Wang Z, Schey KL
(2015) Invest Ophthalmol Vis Sci 56: 8349-60
MeSH Terms: Animals, Cattle, Detergents, Lens, Crystalline, Membrane Lipids, Membrane Microdomains, Proteome, Proteomics
Show Abstract · Added February 15, 2016
PURPOSE - Plasma membranes of lens fiber cells have high levels of long-chain saturated fatty acids, cholesterol, and sphingolipids-key components of lipid rafts. Thus, lipid rafts are expected to constitute a significant portion of fiber cell membranes and play important roles in lens biology. The purpose of this study was to characterize the lens lipid raft proteome.
METHODS - Quantitative proteomics, both label-free and iTRAQ methods, were used to characterize lens fiber cell lipid raft proteins. Detergent-resistant, lipid raft membrane (DRM) fractions were isolated by sucrose gradient centrifugation. To confirm protein localization to lipid rafts, protein sensitivity to cholesterol removal by methyl-β-cyclodextrin was quantified by iTRAQ analysis.
RESULTS - A total of 506 proteins were identified in raft-like detergent-resistant membranes. Proteins identified support important functions of raft domains in fiber cells, including trafficking, signal transduction, and cytoskeletal organization. In cholesterol-sensitivity studies, 200 proteins were quantified and 71 proteins were strongly affected by cholesterol removal. Lipid raft markers flotillin-1 and flotillin-2 and a significant fraction of AQP0, MP20, and AQP5 were found in the DRM fraction and were highly sensitive to cholesterol removal. Connexins 46 and 50 were more abundant in nonraft fractions, but a small fraction of each was found in the DRM fraction and was strongly affected by cholesterol removal. Quantification of modified AQP0 confirmed that fatty acylation targeted this protein to membrane raft domains.
CONCLUSIONS - These data represent the first comprehensive profile of the lipid raft proteome of lens fiber cells and provide information on membrane protein organization in these cells.
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8 MeSH Terms