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PubMed2005

The hypoxic proteome is influenced by gene-specific changes in mRNA translation.

BACKGROUND AND PURPOSE: Hypoxia causes a rapid reduction in mRNA translation efficiency. This inhibition does not affect all mRNA species to the same extent and can therefore contribute significantly to hypoxia-induced differential protein expression. Our aim in this study was to characterize changes in gene expression during acute hypoxia and evaluate the contribution of regulation via mRNA translation on these changes. For each gene, the contribution of changes in mRNA abundance versus mRNA translation was determined. MATERIALS AND METHODS: DU145 prostate carcinoma cells were exposed to 4h of hypoxia (<0.02% O2). Efficiently translated mRNAs were isolated by sedimentation through a sucrose gradient. Affymetrix microarray technology was used to evaluate both the transcriptional and translational contribution to gene expression. Results were validated by quantitative PCR. RESULTS: One hundred and twenty genes were more than 4-fold upregulated by hypoxia in the efficiently translated fraction of mRNA, in comparison to only 76 genes at the level of transcription. Of the 50 genes demonstrating the largest changes in translation, 11 were found to be more than 2-fold over represented in the translated fraction in comparison to their overall transcriptional level. The gene with the highest translational contribution to its induction was CITED-2, which is a negative regulator of HIF-1 transcriptional activity. CONCLUSIONS: Gene-specific regulation of mRNA translation contributes significantly to differential gene expression during hypoxia.

Cell Hypoxia↗

PubMed2005

Proteomic but not enzyme-linked immunosorbent assay technology detects amniotic fluid monomeric calgranulins from their complexed calprotectin form.

Four proteomic biomarkers (human neutrophil peptide 1 [HNP1], HNP2 [defensins], calgranulin C [Cal-C], and Cal-A) characterize the fingerprint of intra-amniotic inflammation (IAI). We compared proteomic technology using surfaced-enhanced laser desorption-ionization-time of flight (SELDI-TOF) mass spectrometry to enzyme-linked immunosorbent assay (ELISA) for detection of these biomarkers. Amniocentesis was performed on 48 women enrolled in two groups: those with intact membranes (n = 27; gestational age [GA], 26.0 +/- 0.8 weeks) and those with preterm premature rupture of the membranes (PPROM; n = 21; GA, 28.4 +/- 0.9 weeks). Paired abdominal amniotic fluids (aAFs)-vaginal AFs (vAFs) were analyzed in PPROM women. Quantitative aspects of HNP1-3, Cal-C, Cal-A, and calprotectin (a complex of Cal-A with Cal-B) were assessed by ELISA. SELDI-TOF mass spectrometry tracings from 16/48 (33.3%) aAFs and 13/17 (88.2%) vAFs were consistent with IAI (three or four biomarkers present). IAI (by SELDI-TOF mass spectrometry) was associated with increased HNP1-3 and Cal-C measured by ELISA. However, immunoassays detected Cal-A in only 4 of the AFs even though its specific SELDI-TOF mass spectrometry peak was identified in 19/48 AFs. Calprotectin immunoreactivity was decreased in AFs retrieved from women with IAI (P = 0.01). In conclusion, IAI is associated with increased HNP1-3 levels. In the absence of isoform-specific ELISAs, mass spectrometry remains the only way to discriminate the HNP biomarker isoforms. Monomeric Cal-A is not reliably estimated by specific ELISA as it binds to Cal-B to form the calprotectin complex. Cal-C was reliably measured by SELDI-TOF mass spectrometry or specific ELISA.

Amniotic Fluid↗

PubMed2006

A proteomic approach for the characterization of C677T mutation of the human gene methylenetetrahydrofolate reductase.

Methylenetetrahydrofolate reductase (MTHFR) catalyzes the conversion of methylenetetrahydrofolate (CH2H4folate) to methyltetrahydrofolate (CH3H4folate). The C677T mutation is a common polymorphism of the human enzyme that leads to the replacement of Ala222Val, thermolability of MTHFR, and mild elevation of plasma homocysteine levels. A mild hyperhomocysteinemia is known to be risk factor for cardiovascular and thrombotic diseases, ischemic stroke, neural tube defects, late on-set dementia, and pregnancy complications. Human plasma of subjects carrying the C677T mutation in the MTHFR gene has been investigated for their protein pattern in order to identify novel molecular hallmarks. 2-D analysis of the plasma protein allowed the identification of a specific pattern associated with the TT mutant genotype. Noteworthy, we found one spot shifted to a more basic pI in mutant individuals, and MS identification corresponded to vitamin D-binding protein (DBP or group component (Gc) globulin). MS/MS peptide sequencing allowed to discriminate different allelic variants in the investigated clinical groups. These data confirmed by molecular genetic analysis highlight the novel association between the C677T MTHFR genotype with the Gc2 polymorphism of the DBP. Moreover, we found a quantitative reduction of Apolipoprotein A-I in mutant individuals, which was associated, in previous studies by others to an increased cardiovascular risk.

Adolescent↗

PubMed2001

Analysis of the proteomic profiling of brain tissue in Alzheimer's disease.

In proteome analysis, it is necessary to separate proteins as a first step prior to characterization. Thus, the overall performance of the analysis depends strongly on the separation tool, which is usually two-dimensional electrophoresis (2DE). We have utilized 2DE to begin characterization of the complex pathologic processes in Alzheimer's disease (AD). In the present study, we show how a reliable 2-DE database of brain proteins in Alzheimer's disease was created, improving reproducibility by using an immobilized pH gradient (IPG) for the first dimension gel electrophoresis. The recent progress in this field, and future prospects in this area are also discussed. Preparation of brain proteins into a suitable solubilized state enabled us to separate over 1000 well-defined protein spots in each 2-DE. A comparison of the density of the spots identified on the reference map between the AD and control group, showed that 5 protein spots were significantly increased, 28 spots were significantly decreased and 7 spots were specifically detected in AD. Two spots among those significantly increased and one spot among those significantly decreased were identified as GFAP related. It is hoped that comparative studies to identify, quantitate, and characterize the proteins differentially expressed in normal brain versus diseased brain will give insight into the mechanisms of pathogenesis and allow the development of a strategy to control both the etiology and course of the diseases.

Aged↗

PubMed2026

Integrative multi-omics and machine learning identify the SPI1-METTL16-PLIN4 axis as a candidate driver of steatosis in HepG2 cells.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a prevalent metabolic disorder with limited therapeutic options. This study aimed to identify potential regulators and explore their functional roles in a cellular model of NAFLD. METHODS: WGCNA was performed on the hepatic transcriptomic dataset GSE126848 (31 NAFLD vs. 26 controls), followed by integration with serum proteomic data from 12 NAFLD patients and 12 healthy controls. Hub genes were prioritized using three machine learning algorithms. Functional validation was conducted in a HepG2 cellular steatosis model induced by high fructose (3.2 g/L) and oleic acid (400 μM) for 48 h. Lipid accumulation was assessed by Oil Red O staining and triglyceride/total cholesterol measurement. Inflammation was evaluated by TNF-α and IL-6 secretion (ELISA), and oxidative stress by ROS levels (flow cytometry). The binding interaction between METTL16 and PLIN4 mRNA was validated by RNA immunoprecipitation (RIP)-quantitative PCR. METTL16-mediated m6A modification of PLIN4 was assessed by Methylated RIP (MeRIP)-quantitative PCR. Transcriptional regulation of METTL16 by SPI1 was examined by chromatin immunoprecipitation (ChIP) and dual-luciferase reporter assays. RESULTS: Integrative analysis identified PLIN4 as a core hub gene. PLIN4 was upregulated in the HepG2 steatosis model (P < 0.001). PLIN4 knockdown alleviated lipid droplet accumulation (P < 0.001), reduced TNF-α and IL-6 secretion (P < 0.01), and decreased ROS levels (P < 0.001) in fructose/oleic acid-treated HepG2 cells. Mechanistically, METTL16 mediated its m6A modification to enhance PLIN4 mRNA stability. Furthermore, SPI1 was found to transcriptionally activate METTL16 by binding to its promoter (P < 0.001). PLIN4 re-expression partially reversed the protective effects of SPI1 knockdown on lipid accumulation (P = 0.01), inflammation (P < 0.05), and oxidative stress (P < 0.001). CONCLUSION: This study identifies the SPI1/METTL16/PLIN4 axis as a potential regulatory mechanism contributing to in vitro steatosis, inflammation, and oxidative stress in steatotic HepG2 cells.

Humans↗

PubMed2002

Paraspeckles: a novel nuclear domain.

BACKGROUND: The cell nucleus contains distinct classes of subnuclear bodies, including nucleoli, splicing speckles, Cajal bodies, gems, and PML bodies. Many nuclear proteins are known to interact dynamically with one or other of these bodies, and disruption of the specific organization of nuclear proteins can result in defects in cell functions and may cause molecular disease. RESULTS: A proteomic study of purified human nucleoli has identified novel proteins, including Paraspeckle Protein 1 (PSP1) (see accompanying article, this issue of Current Biology). Here we show that PSP1 accumulates in a new nucleoplasmic compartment, termed paraspeckles, that also contains at least two other protein components: PSP2 and p54/nrb. A similar pattern of typically 10 to 20 paraspeckles was detected in all human cell types analyzed, including primary and transformed cells. Paraspeckles correspond to discrete bodies in the interchromatin nucleoplasmic space that are often located adjacent to splicing speckles. A stable cell line expressing YFP-PSP1 has been established and used to demonstrate that PSP1 interacts dynamically with nucleoli and paraspeckles in living cells. The three paraspeckle proteins relocalize quantitatively to unique cap structures at the nucleolar periphery when transcription is inhibited. CONCLUSIONS: We have identified a novel nuclear compartment, termed paraspeckles, found in both primary and transformed human cells. Paraspeckles contain at least three RNA binding proteins that all interact dynamically with the nucleolus in a transcription-dependent fashion.

Amino Acid Sequence↗

PubMed2005

Proteome analysis of sugar beet leaves under drought stress.

Drought is one of the major factors limiting the yield of sugar beet (Beta vulgaris L.). The identification of candidate genes for marker-assisted selection (MAS) could greatly improve the efficiency of breeding for increased drought tolerance. Drought-induced changes in the proteome could highlight important genes. Two genotypes of sugar beet (7112 and 7219-P.69) differing in genetic background were cultivated in the field. A line-source sprinkler irrigation system was used to apply irrigated and water deficit treatments beginning at the four-leaf stage. At 157 days after sowing, leaf samples were collected from well-watered and drought-stressed plants for protein extraction and to measure shoot biomass and leaf relative water content. Changes induced in leaf proteins were studied by two-dimensional gel electrophoresis and quantitatively analyzed using image analysis software. Out of more than 500 protein spots reproducibly detected and analyzed, 79 spots showed significant changes under drought. Some proteins showed genotype-specific patterns of up- or downregulation in response to drought. Twenty protein spots were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), leading to identification of Rubisco and 11 other proteins involved in redox regulation, oxidative stress, signal transduction, and chaperone activities. Some of these proteins could contribute a physiological advantage under drought, making them potential targets for MAS.

Algorithms↗

PubMed2007

Proteomic profiling identifies breast tumor metastasis-associated factors in an isogenic model.

A combination of LC and MS was applied to an isogenic breast tumor metastasis model to identify proteins associated with a cellular phenotype. Chromatofocusing followed by nonporous-RP-HPLC/ESI-TOF MS was applied to cell lysates of a pair of monoclonal cell lines from the human breast carcinoma cell line MDA-MB-435 that have different metastatic phenotypes in immune-compromised mice. This method was developed to separate proteins based on pI and hydrophobicity. The high resolution and mass accuracy of ESI-TOF measurements provided a good correlation of theoretical MW and experimental Mr values of intact proteins measured in mass maps obtained in the pH range 3.8-6.4. The isolated proteins were digested by trypsin and analyzed by MALDI-TOF MS, MALDI-QIT-TOF MS, and monolith-based HPLC/MS/MS. The unique combination of the techniques provided valuable information including quantitation and modification of proteins. We identified 89 selected proteins, of which 43 were confirmed as differentially expressed. Metastasis-associated proteins included galectin-1, whereas annexin I and annexin II were associated with the nonmetastatic phenotype. In this study, we demonstrate that combining a variety of MS tools with a multidimensional liquid-phase separation provides the ability to map cellular protein content, to search for modified proteins, and to correlate protein expression with cellular phenotype.

Biomarkers, Tumor↗

PubMed2004

Proteome analysis of human colon cancer by two-dimensional difference gel electrophoresis and mass spectrometry.

Two-dimensional difference gel electrophoresis (2-D DIGE) coupled with mass spectrometry (MS) was used to investigate tumor-specific changes in the proteome of human colorectal cancers and adjacent normal mucosa. For each of six patients with different stages of colon cancer, Cy5-labeled proteins isolated from tumor tissue were combined with Cy3-labeled proteins isolated from neighboring normal mucosa and separated on the same 2-D gel along with a Cy2-labeled mixture of all 12 normal/tumor samples as an internal standard. Over 1500 protein spot-features were analyzed in each paired normal/tumor comparison, and using DIGE technology with the mixed-sample internal standard, statistically significant quantitative comparisons of each protein abundance change could be made across multiple samples simultaneously without interference due to gel-to-gel variation. Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) and tandem (TOF/TOF) MS provided sensitive and accurate mass spectral data for database interrogation, resulting in the identification of 52 unique proteins (including redundancies due to proteolysis and post-translationally modified isoforms) that were changing in abundance across the cohort. Without the benefit of the Cy2-labeled 12 sample mixture internal standard, 42 of these proteins would have been overlooked due to the large degree of variation inherent between normal and tumor samples.

Adult↗

PubMed2005

Classification of cancer types by measuring variants of host response proteins using SELDI serum assays.

Protein expression profiling has been increasingly used to discover and characterize biomarkers that can be used for diagnostic, prognostic or therapeutic purposes. Most proteomic studies published to date have identified relatively abundant host response proteins as candidate biomarkers, which are often dismissed because of an apparent lack of specificity. We demonstrate that 2 host response proteins previously identified as candidate markers for early stage ovarian cancer, transthyretin and inter-alpha trypsin inhibitor heavy chain 4 (ITIH4), are posttranslationally modified. These modifications include proteolytic truncation, cysteinylation and glutathionylation. Assays using Surface Enhanced Laser Desorption/Ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS) may provide a means to confer specificity to these proteins because of their ability to detect and quantitate multiple posttranslationally modified forms of these proteins in a single assay. Quantitative measurements of these modifications using chromatographic and antibody-based ProteinChip array assays reveal that these posttranslational modifications occur to different extents in different cancers and that multivariate analysis permits the derivation of algorithms to improve the classification of these cancers. We have termed this process host response protein amplification cascade (HRPAC), since the process of synthesis, posttranslational modification and metabolism of host response proteins amplifies the signal of potentially low-abundant biologically active disease markers such as enzymes.

Algorithms↗

PubMed2005

Comparative evaluation of two two-dimensional gel electrophoresis image analysis software applications using synovial fluids from patients with joint disease.

The proteomic composition of synovial fluid (SF) may hold clues to understanding the molecular basis of arthritis. However, the highly viscous nature and proteomic complexity of SF present a challenge when analyzing results obtained by two-dimensional gel electrophoresis (2D-GE). Several software applications are available for analyzing 2D-GE images. Despite inherent strengths and weaknesses, no comparison between these applications has been reported using SF or any human fluid specimens. We evaluated two common software packages--PDQuest and Progenesis Workstation--for spot detection, matching, and quantitation of 2D-GE images of SF from four patients with arthritic disease. Initially, whole 2D-gel images were analyzed for spot detection, which suggested that PDQuest is more consistent than Progenesis; however, PDQuest appeared to require more user intervention than Progenesis. Subsequently, two small areas (spots well resolved and spots not well resolved) were selected from each gel image, which were analyzed by the software for spot detection, matching, volume, and resolution. These analyses suggest that both tools can quantify well-resolved spots relatively consistently when compared with manual spot detection (the "gold standard"). The "3D viewer" option offered by both tools enables correct spot identification and matching. The strengths and weaknesses of these computer tools can provide guidance in the choice of a particular workstation for identifying biomarkers of arthritis.

Adult↗

PubMed2006

Radiolytic protein footprinting with mass spectrometry to probe the structure of macromolecular complexes.

Structural proteomics approaches using mass spectrometry are increasingly used in biology to examine the composition and structure of macromolecules. Hydroxyl radical-mediated protein footprinting using mass spectrometry has recently been developed to define structure, assembly, and conformational changes of macromolecules in solution based on measurements of reactivity of amino acid side chain groups with covalent modification reagents. Accurate measurements of side chain reactivity are achieved using quantitative liquid-chromatography-coupled mass spectrometry, whereas the side chain modification sites are identified using tandem mass spectrometry. In addition, the use of footprinting data in conjunction with computational modeling approaches is a powerful new method for testing and refining structural models of macromolecules and their complexes. In this review, we discuss the basic chemistry of hydroxyl radical reactions with peptides and proteins, highlight various approaches to map protein structure using radical oxidation methods, and describe state-of-the-art approaches to combine computational and footprinting data.

Hydroxyl Radical↗

PubMed2005

Comparison of label-free methods for quantifying human proteins by shotgun proteomics.

Measurements of mass spectral peak intensities and spectral counts are promising methods for quantifying protein abundance changes in shotgun proteomic analyses. We describe Serac, software developed to evaluate the ability of each method to quantify relative changes in protein abundance. Dynamic range and linearity using a three-dimensional ion trap were tested using standard proteins spiked into a complex sample. Linearity and good agreement between observed versus expected protein ratios were obtained after normalization and background subtraction of peak area intensity measurements and correction of spectral counts to eliminate discontinuity in ratio estimates. Peak intensity values useful for protein quantitation ranged from 10(7) to 10(11) counts with no obvious saturation effect, and proteins in replicate samples showed variations of less than 2-fold within the 95% range (+/-2sigma) when >or=3 peptides/protein were shared between samples. Protein ratios were determined with high confidence from spectral counts when maximum spectral counts were >or=4 spectra/protein, and replicates showed equivalent measurements well within 95% confidence limits. In further tests, complex samples were separated by gel exclusion chromatography, quantifying changes in protein abundance between different fractions. Linear behavior of peak area intensity measurements was obtained for peptides from proteins in different fractions. Protein ratios determined by spectral counting agreed well with those determined from peak area intensity measurements, and both agreed with independent measurements based on gel staining intensities. Overall spectral counting proved to be a more sensitive method for detecting proteins that undergo changes in abundance, whereas peak area intensity measurements yielded more accurate estimates of protein ratios. Finally these methods were used to analyze differential changes in protein expression in human erythroleukemia K562 cells stimulated under conditions that promote cell differentiation by mitogen-activated protein kinase pathway activation. Protein changes identified with p<0.1 showed good correlations with parallel measurements of changes in mRNA expression.

Bias↗

PubMed2006

Gel-free and gel-based proteomics in Bacillus subtilis: a comparative study.

The proteome of exponentially growing Bacillus subtilis cells was dissected by the implementation of shotgun proteomics and a semigel-based approach for a particular exploration of membrane proteins. The current number of 745 protein identifications that was gained by the use of two-dimensional gel electrophoresis could be increased by 473 additional proteins. Therefore, almost 50% of the 2500 genes expressed in growing B. subtilis cells have been demonstrated at the protein level. In terms of exploring cellular physiology and adaptation to environmental changes or stress, proteins showing an alteration in expression level are of primary interest. The large number of vegetative proteins identified by gel-based and gel-free approaches is a good starting point for comparative physiological investigations. For this reason a gel-free quantitation with the recently introduced iTRAQ (isobaric tagging for relative and absolute quantitation) reagent technique was performed to investigate the heat shock response in B. subtilis. A comparison with gel-based data showed that both techniques revealed a similar level of up-regulation for proteins belonging to well studied heat hock regulons (SigB, HrcA, and CtsR). However, additional datasets have been obtained by the gel-free approach indicating a strong heat sensitivity of specific enzymes involved in amino acid synthesis.

Bacillus subtilis↗

PubMed2006

Comparative proteomics in neurodegenerative and non-neurodegenerative diseases suggest nodal point proteins in regulatory networking.

Neurodegenerative disorders (ND) encompass clinically and genetically heterogeneous diseases with considerable overlap of their clinical, neuropathological and molecular phenotype. Various causes of neurodegeneration in disease may affect eventually the same proteins within protein networks. To identify common changes in ND, we compared brain protein changes detected by 2-D electrophoresis in four mouse models for ND: (i) Parkinson's disease, (ii) Huntington's disease, (iii) prion disease Scrapie, and (iv) a model for impaired synaptic transmission. To determine specificity of these changes for ND, we extended the scope of our investigation to three neurological conditions that do not result in neurodegeneration (non-ND). We detected 12 to 216 consistent qualitative or quantitative protein changes in individual ND and non-ND models when compared to controls. Up to 36% of these proteins were found to be altered in multiple disease states (at least three) and were therefore termed nodal point proteins. Alterations in alpha B-Crystallin and splicing factor 3b (subunit 4) occurred in at least three ND but not in non-ND. In contrast, alterations in peroxiredoxin 1 and 3, astrocytic phosphoprotein PEA15, complexin 2 and aminoacylase 1 were common to both ND and non-ND. Finally, we investigated the expression pattern of the nodal point proteins in three inbred mouse strains and found different protein abundance (expression polymorphisms) in all cases. Nodal point proteins showing expression polymorphisms may be candidate proteins for disease associated modifiers.

Animals↗

PubMed2006

Targeted proteomics in biomarker validation: detection and quantification of proteins using a multi-dimensional peptide separation strategy.

Authentic biomarkers, distilling the essence of a complex, functionally significant process in a mammalian system into a precise, physicochemical measurement have been implicated as a tool of increasing importance for drug discovery and development. However, even in spite of recent technological advances, validating a new biomarker candidate, where generation of suitable antibodies is required, is still a long-lasting task. Methods to accelerate initial validation by MS approaches have been suggested, but all methods described so far are associated with serious drawbacks, finally leading to non-generic methods of detection and quantification. Moreover, when complex body fluids are used as samples, efficient debulking strategies are crucial to open a window of analytical sensitivity in the ng/mL range, where many diagnostically relevant analytes are present. Here we report the proof-of-principle of a multi-dimensional strategy for accelerated initial validation of biomarker candidates by MS, which promises to be generally applicable, sensitive and quantitative. The method presented employs a combination of electrophoretic and chromatographic steps on the peptide level, followed by MS quantification using isotopically labeled synthetic peptides as internal standards. Our proposed workflow includes up to four dimensions, finally resulting in a desired LOD sufficient to detect and quantify diagnostically relevant analytes from complex samples. Although the current state of the method only represents a starting point for further validation and development, it reveals great potential in biomarker validation.

Animals↗

PubMed2003

Innovative tools for detection of plant pathogenic viruses and bacteria.

Detection of harmful viruses and bacteria in plant material, vectors or natural reservoirs is essential to ensure safe and sustainable agriculture. The techniques available have evolved significantly in the last few years to achieve rapid and reliable detection of pathogens, extraction of the target from the sample being important for optimising detection. For viruses, sample preparation has been simplified by imprinting or squashing plant material or insect vectors onto membranes. To improve the sensitivity of techniques for bacterial detection, a prior enrichment step in liquid or solid medium is advised. Serological and molecular techniques are currently the most appropriate when high numbers of samples need to be analysed. Specific monoclonal and/or recombinant antibodies are available for many plant pathogens and have contributed to the specificity of serological detection. Molecular detection can be optimised through the automatic purification of nucleic acids from pathogens by columns or robotics. New variants of PCR, such as simple or multiplex nested PCR in a single closed tube, co-operative-PCR and real-time monitoring of amplicons or quantitative PCR, allow high sensitivity in the detection of one or several pathogens in a single assay. The latest development in the analysis of nucleic acids is micro-array technology, but it requires generic DNA/RNA extraction and pre-amplification methods to increase detection sensitivity. The advances in research that will result from the sequencing of many plant pathogen genomes, especially now in the era of proteomics, represent a new source of information for the future development of sensitive and specific detection techniques for these microorganisms.

Bacteria↗

PubMedDate not supplied

Mass tagging approach for mitochondrial thiol proteins.

A mass tagging approach is described for mitochondrial thiol proteins under nondenaturing conditions. This approach utilizes stable isotope-coded, thiol-reactive (4-iodobutyl)triphenylphosphonium (IBTP) reagents, i.e., the isotopomers IBTP-d(0) and IBTP-d(15). The mass spectrometric properties of IBTP-labeled peptides were evaluated using an ESI-q-TOF and a MALDI-TOF/TOF instrument. High energy collision induced dissociation (CID) in the TOF/TOF instrument caused side-chain fragmentation in the butyltriphenylphosphonium moiety-containing Cys-residue. By contrast, low energy CID in the qTOF instrument yielded sequence tags of IBTP-labeled peptides that were suitable for automated database searching. The IBTP labeling strategy was then applied to the analysis of a protein extract obtained from cardiac mitochondria. The relative abundance measurements for identified IBTP-labeled peptides showed an average variability for peptide quantitation of approximately 10% based on peak area ratios of ion signals for the d(0)/d(15)-tagged peptide pairs. The reactivity of the IBTP reagents was further studied by molecular modeling and visualization. The present study suggests that the IBTP reagent seems to show a bias toward highly surface-exposed protein thiols. Hence, the described mass tagging approach might become potentially useful in redox proteomics studies designed to identify protein thiols that are particularly prone to oxidative modifications.

Amino Acid Sequence↗