Quantitative proteomics approach for identifying protein-drug interactions in complex mixtures using protein stability measurements.
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ABSTRACT:
SUBMITTER: West GM
PROVIDER: S-EPMC2889096 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Post-translational modifications (PTMs) (e.g., acetylation, methylation, and phosphorylation) play crucial roles in regulating the diverse protein-protein interactions involved in essentially every cellular process. While significant progress has been made to detect PTMs, profiling protein-protein interactions mediated by these PTMs remains a challenge. Here, we report a method that combines a photo-cross-linking strategy with stable isotope labeling in cell culture (SILAC)-based quantitative mass spectrometry to identify PTM-dependent protein-protein interactions. To develop and apply this approach, we focused on trimethylated lysine-4 at the histone H3 N-terminus (H3K4Me(3)), a PTM linked to actively transcribed gene promoters. Our approach identified proteins previously known to recognize this modification and MORC3 as a new protein that binds H3M4Me(3). This study indicates that our cross-linking-assisted and SILAC-based protein identification (CLASPI) approach can be used to profile protein-protein interactions mediated by PTMs, such as lysine methylation.
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Project description:Shotgun proteomics protocols are widely used for the identification and/or quantitation of proteins in complex biological samples. Described here is a shotgun proteomics protocol that can be used to identify the protein targets of biologically relevant ligands in complex protein mixtures. The protocol combines a quantitative proteomics platform with a covalent modification strategy, termed Stability of Proteins from Rates of Oxidation (SPROX), which utilizes the denaturant dependence of hydrogen peroxide-mediated oxidation of methionine side chains in proteins to assess the thermodynamic properties of proteins and protein-ligand complexes. The quantitative proteomics platform involves the use of isobaric mass tags and a methionine-containing peptide enhancement strategy. The protocol is evaluated in a ligand binding experiment designed to identify the proteins in a yeast cell lysate that bind the well-known enzyme cofactor, ?-nicotinamide adenine dinucleotide (NAD+). The protocol is also used to investigate the protein targets of resveratrol, a biologically active ligand with less well-understood protein targets. A known protein target of resveratrol, cytosolic aldehyde dehydrogenase, was identified in addition to six other potential new proteins targets including four that are associated with the protein translation machinery, which has previously been implicated as a target of resveratrol.
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Project description:Identifying targets of biologically active small molecules is an essential but still challenging task in drug research and chemical genetics. Energetics-based target identification is an approach that utilizes the change in the conformational stabilities of proteins upon ligand binding in order to identify target proteins. Different from traditional affinity-based capture approaches, energetics-based methods do not require any labeling or immobilization of the test molecule. Here, we report a surprisingly simple version of energetics-based target identification, which only requires ion exchange chromatography, SDS PAGE, and minimal use of mass spectrometry. The complexity of a proteome is reduced through fractionation by ion exchange chromatography. Urea-induced unfolding of proteins in each fraction is then monitored by the significant increase in proteolytic susceptibility upon unfolding in the presence and the absence of a ligand. Proteins showing a different degree of unfolding with the ligand are identified by SDS PAGE followed by mass spectrometry. Using this approach, we identified ATP-binding proteins in the Escherichia coli proteome. In addition to known ATP-binding proteins, we also identified a number of proteins that were not previously known to interact with ATP. To validate one such finding, we cloned and purified phosphoglyceromutase, which was not previously known to bind ATP, and confirmed that ATP indeed stabilizes this protein. The combination of fractionation and pulse proteolysis offers an opportunity to investigate protein-drug or protein-metabolite interactions on a proteomic scale with minimal instrumentation and without modification of a molecule of interest.
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Project description:IntroductionRabies is a fatal acute viral disease of the central nervous system, which is a serious public health problem in Asian and African countries. Based on the clinical presentation, rabies can be classified into encephalitic (furious) or paralytic (numb) rabies. Early diagnosis of this disease is particularly important as rabies is invariably fatal if adequate post exposure prophylaxis is not administered immediately following the bite.MethodsIn this study, we carried out a quantitative proteomic analysis of the human brain tissue from cases of encephalitic and paralytic rabies along with normal human brain tissues using an 8-plex isobaric tags for relative and absolute quantification (iTRAQ) strategy.Results and conclusionWe identified 402 proteins, of which a number of proteins were differentially expressed between encephalitic and paralytic rabies, including several novel proteins. The differentially expressed molecules included karyopherin alpha 4 (KPNA4), which was overexpressed only in paralytic rabies, calcium calmodulin dependent kinase 2 alpha (CAMK2A), which was upregulated in paralytic rabies group and glutamate ammonia ligase (GLUL), which was overexpressed in paralytic as well as encephalitic rabies. We validated two of the upregulated molecules, GLUL and CAMK2A, by dot blot assays and further validated CAMK2A by immunohistochemistry. These molecules need to be further investigated in body fluids such as cerebrospinal fluid in a larger cohort of rabies cases to determine their potential use as antemortem diagnostic biomarkers in rabies. This is the first study to systematically profile clinical subtypes of human rabies using an iTRAQ quantitative proteomics approach.
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Project description:Protein interactions are involved in all cellular processes. Their efficient and reliable characterization is therefore essential for understanding biological mechanisms. In this study, we show that combining bacterial artificial chromosome (BAC) TransgeneOmics with quantitative interaction proteomics, which we call quantitative BAC-green fluorescent protein interactomics (QUBIC), allows specific and highly sensitive detection of interactions using rapid, generic, and quantitative procedures with minimal material. We applied this approach to identify known and novel components of well-studied complexes such as the anaphase-promoting complex. Furthermore, we demonstrate second generation interaction proteomics by incorporating directed mutational transgene modification and drug perturbation into QUBIC. These methods identified domain/isoform-specific interactors of pericentrin- and phosphorylation-specific interactors of TACC3, which are necessary for its recruitment to mitotic spindles. The scalability, simplicity, cost effectiveness, and sensitivity of this method provide a basis for its general use in small-scale experiments and in mapping the human protein interactome.
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Project description:UnlabelledIntroductionTuberculous meningitis is a frequent extrapulmonary disease caused by Mycobacterium tuberculosis and is associated with high mortality rates and severe neurological sequelae. In an earlier study employing DNA microarrays, we had identified genes that were differentially expressed at the transcript level in human brain tissue from cases of tuberculous meningitis. In the current study, we used a quantitative proteomics approach to discover protein biomarkers for tuberculous meningitis.MethodsTo compare brain tissues from confirmed cased of tuberculous meningitis with uninfected brain tissue, we carried out quantitative protein expression profiling using iTRAQ labeling and LC-MS/MS analysis of SCX fractionated peptides on Agilent's accurate mass QTOF mass spectrometer.Results and conclusionsThrough this approach, we identified both known and novel differentially regulated molecules. Those described previously included signal-regulatory protein alpha (SIRPA) and protein disulfide isomerase family A, member 6 (PDIA6), which have been shown to be overexpressed at the mRNA level in tuberculous meningitis. The novel overexpressed proteins identified in our study included amphiphysin (AMPH) and neurofascin (NFASC) while ferritin light chain (FTL) was found to be downregulated in TBM. We validated amphiphysin, neurofascin and ferritin light chain using immunohistochemistry which confirmed their differential expression in tuberculous meningitis. Overall, our data provides insights into the host response in tuberculous meningitis at the molecular level in addition to providing candidate diagnostic biomarkers for tuberculous meningitis.
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Project description:Characterization of ligand-protein binding is of crucial importance in drug discovery. Classical competition binding assays measure the binding of a labeled ligand in the presence of various concentrations of unlabeled ligand and typically use single purified proteins. Here, we introduce a high-throughput approach to study ligand-protein interactions by coupling competition binding assays with mass spectrometry-based quantitative proteomics. With the use of a phosphorylated immunoreceptor tyrosine-based activation motif (pITAM) peptide as a model, we characterized pITAM-interacting partners in human lymphocytes. The shapes of competition binding curves of various interacting partners constructed in a single set of quantitative proteomics experiments reflect relative affinities for the pITAM peptide. This strategy can provide an efficient approach to distinguish specific interacting partners, including two signaling kinases possessing tandem SH2 domains, SYK and ZAP-70, as well as other SH2 domain-containing proteins such as CSK and PI3K, from contaminants and to measure relative binding affinities of multiple proteins in a single experiment.
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Project description:Protein-protein interactions mediate essential cellular processes, however the detection of native interactions is challenging since they are often low affinity and context dependent. Here, we develop a chemical proteomics approach in vivo CLASPI [iCLASPI] (in vivo crosslinking-assisted and stable isotope labeling by amino acids in cell culture [SILAC]-based protein identification) relying upon photo-crosslinking, amber suppression, and SILAC-based quantitative proteomics to profile context-dependent protein-protein interactions in living cells. First, we use iCLASPI to profile in vivo binding partners of the N-terminal tails of soluble histone H3 or H4. We identify known histone chaperones and modifying proteins, thereby validating our approach, and find an interaction between soluble histone H3 and UBR7, an E3 ubiquitin ligase, mediated by UBR7's PHD domain. Furthermore, we apply iCLASPI to profile the context-dependent protein-protein interactions of chromatin-associated histone H3 at different cell-cycle stages, and identify ANP32A as a mitosis-specific interactor. Our results demonstrate that the iCLASPI approach can provide a general strategy for identifying native, context-dependent direct protein-protein interactions using photo-crosslinking and quantitative proteomics.
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