Development of a fluorescent monoclonal antibody‐based assay to measure the allosteric effects of synthetic peptides on self‐oligomerization of AGR2 protein

Many regulatory proteins are homo‐oligomeric and designing assays that measure self‐assembly will provide novel approaches to study protein allostery and screen for novel small molecule modulators of protein interactions. We present an assay to begin to define the biochemical determinants that regulate dimerization of the cancer‐associated oncoprotein AGR2. A two site‐sandwich microtiter assay (^2SMTA) was designed using a DyLight800‐labeled monoclonal antibody that binds to an epitope in AGR2 to screen for synthetic self‐peptides that might regulate dimer stability. Peptides derived from the intrinsically disordered N‐terminal region of AGR2 increase in trans oligomer stability as defined using the ^2SMTA assay. A DSS‐crosslinking assay that traps the AGR2 dimer through K95‐K95 adducts confirmed that Δ45‐AGR2 was a more stable dimer using denaturing gel electrophoresis. A titration of wt‐AGR2, Δ45‐AGR2 (more stable dimer), and monomeric AGR2^E60A revealed that Δ45‐AGR2 was more active in binding to Reptin than either wt‐AGR2 or the AGR2^E60A mutant. Our data have defined a functional role for the AGR2 dimer in the binding to its most well characterized interacting protein, Reptin. The ability to regulate AGR2 oligomerization in trans opens the possibility for developing small molecules that regulate its' biochemical activity as potential cancer therapeutics. The data also highlight the utility of this oligomerization assay to screen chemical libraries for ligands that could regulate AGR2 dimer stability and its' oncogenic potential.     

Expansion of Bacteriophages Is Linked to Aggravated Intestinal Inflammation and Colitis

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Exploitation of specific properties of trifluoroethanol for extraction and separation of membrane proteins

Hydrophobic proteins are difficult to analyze by two-dimensional electrophoresis (2-DE) because of their intrinsic tendency to self-aggregate during the first dimension (isoelectric focusing, IEF) or the equilibration steps. This aggregation renders their redissolution for the second dimension uncertain and results in the reduction of the number and intensity of protein spots, and in undesirable vertical and horizontal streaks across gels. Trifluoroethanol (TFE) is traditionally used at high concentration to solubilize peptides and proteins for NMR studies. Depending upon its concentration, TFE strongly affects the three-dimensional structure of proteins. We report here a phase separation system based on TFE/CHCl(3), which is able to extract a number of intrinsic membrane proteins. The addition of TFE in the in-gel sample rehydration buffer to improve membrane protein IEF separation is also presented. The procedure using urea, thiourea, and sulfobetaine as chaotropic agents was modified by the addition of TFE and removing of sulfobetaine at an optimized concentration in the solubilization medium used for the first dimension. When using membrane fractions isolated from Escherichia coli, the intensity and the number of spots detected from 2-DE gels that used TFE in the solubilization medium were significantly increased. The majority of the proteins identified using peptide mass fingerprinting and tandem mass spectrometry (MS/MS) were intrinsic membrane proteins, proteins of beta barrel structure or transmembrane proteins.     

Proteomics application exercise of the Swiss Proteomics Society: report of the SPS'02 session

After the success of the mass spectrometry (MS) round table that was held at the first Swiss Proteomics Society congress (SPS'01) in Geneva, the SPS has organized a proteomics application exercise and allocated a full session at the SPS'02 congress. The main objective was to encourage the exchange of expertise in protein identification, with a focus on the use of mass spectrometry, and to create a bridge between the users' questions and the instrument providers' solutions. Two samples were sent to fifteen interested labs, including academic groups and MS hardware providers. Participants were asked to identify and partially characterize the samples. They consisted of a complex mixture of peptide/proteins (sample A) and an almost pure recombinant peptide carrying post-translational modifications (sample B). Sample A was an extract of snake venom from the species Bothrops jararaca. Sample B was a recombinant and modified peptide derived from the shrimp Penaeus vannamei penaeidin 3a. The eight labs that returned results reported the use of a wide range of MS instrumentation and techniques. They mentioned a variety of time and manpower allocations. The origin of sample A was generally identified together with a number of database protein entries. The difficulty of the sample identification lay in the incomplete knowledge of the Bothrops species genome sequence and is discussed. Sample B was generally and correctly identified as penaeidin. However, only one group reported the full primary structure. Interestingly, the approaches were again varied and are discussed in the text.     

Discovery and Verification of Osteopontin and Beta-2-microglobulin as Promising Markers for Staging Human African Trypanosomiasis

Human African trypanosomiasis, or sleeping sickness, is a parasitic disease endemic in sub-Saharan Africa, transmitted to humans through the bite of a tsetse fly. The first or hemolymphatic stage of the disease is associated with presence of parasites in the bloodstream, lymphatic system, and body tissues. If patients are left untreated, parasites cross the blood-brain barrier and invade the cerebrospinal fluid and the brain parenchyma, giving rise to the second or meningoencephalitic stage. Stage determination is a crucial step in guiding the choice of treatment, as drugs used for S2 are potentially dangerous. Current staging methods, based on counting white blood cells and demonstrating trypanosomes in cerebrospinal fluid, lack specificity and/or sensitivity. In the present study, we used several proteomic strategies to discover new markers with potential for staging human African trypanosomiasis. Cerebrospinal fluid (CSF) samples were collected from patients infected with Trypanosoma brucei gambiense in the Democratic Republic of Congo. The stage was determined following the guidelines of the national control program. The proteome of the samples was analyzed by two-dimensional gel electrophoresis (n = 9), and by sixplex tandem mass tag (TMT) isobaric labeling (n = 6) quantitative mass spectrometry. Overall, 73 proteins were overexpressed in patients presenting the second stage of the disease. Two of these, osteopontin and β-2-microglobulin, were confirmed to be potential markers for staging human African trypanosomiasis (HAT) by Western blot and ELISA. The two proteins significantly discriminated between S1 and S2 patients with high sensitivity (68% and 78%, respectively) for 100% specificity, and a combination of both improved the sensitivity to 91%. The levels of osteopontin and β-2-microglobulin in CSF of S2 patients (μg/ml range), as well as the fold increased concentration in S2 compared with S1 (3.8 and 5.5 respectively) make the two markers good candidates for the development of a test for staging HAT patients.Human African trypanosomiasis (HAT), or sleeping sickness, is caused by an extracellular protozoan parasite of the genus Trypanosoma, which is transmitted through the bite of a tsetse fly (genus Glossina). Two morphologically identical subspecies of the parasite, are responsible for the two geographically and clinically different forms of HAT: a chronic form, widespread in West and Central Africa, caused by T. b. gambiense, and an acute form, endemic in eastern Africa, caused by T. b. rhodesiense (1). In both forms of the disease, parasites are initially localized in the blood stream, lymph, and peripheral tissues; this is the first or hemolymphatic stage (S1). During this stage, patients present generic clinical features that are common to other infectious diseases such as human immunodeficiency virus (HIV), malaria, and tuberculosis (TB), which can coexist with HAT, thus making its early diagnosis difficult (2). If treatment is not carried out, the disease progresses to the second or meningoencephalitic stage (S2) after trypanosomes cross the blood-brain barrier (BBB) and invade the central nervous system (CNS). This phase is characterized by a broad range of neurological signs that are indicative of CNS involvement (1). Diagnosis of HAT is based on parasitological demonstration of parasites in blood or lymph-node aspirate (3). All positive or suspect patients have to undergo a lumbar puncture and cerebrospinal fluid (CSF)1 examination, to determine whether they have second stage disease (4). According to the World Health Organization (WHO) guidelines, the meningoencephalitic stage is defined by the presence of parasites in CSF and/or a white blood cell (WBC) count of more than 5 cells per μl (5). Other parameters, such as intrathecal IgM production could also provide additional information to determine whether the CNS is involved (6, 7).Treatment of HAT patients varies depending on the infecting parasite and the stage of disease (5, 8). S2 drugs in current use, including melarsoprol, eflornithine, and a combination of nifurtimox and eflornithine have several limitations, such as a high rate of toxicity (melarsoprol causes death to 5% of treated patients) (9), complex logistics, and mode of administration (6, 10). Consequently, staging is a vital step in the diagnosis and treatment of HAT. However, the poor specificity or sensitivity of WBC counting and of parasitological techniques for demonstration of parasites in CSF, highlight the need for discovery of better tools for staging the disease.Several attempts have been made during the last decade to identify potential biomarkers able to discriminate between the two stages of sleeping sickness. Most of the efforts focused on cytokines and chemokines, because the patient''s immune system plays a crucial role in the brain pathology (11–14).Proteomic approaches are increasingly being applied in biomedical research and clinical medicine to investigate body fluids as a source of biomarkers (15), including the diagnosis of neurological disorders such as Alzheimer''s disease (16), Parkinson''s disease (17), and multiple sclerosis (18, 19). The protein composition of CSF is strictly regulated and can reflect the physiological or pathological state of the CNS (15). Thus in the present study, we addressed the challenge of staging HAT by analyzing CSF from T. b. gambiense patients using two complementary proteomic strategies: a classical approach based on two-dimensional gel electrophoresis (2-DE), and quantitative mass spectrometry (MS) using isobaric tandem mass tag (TMT) technology (sixplex TMT® MS/MS) (20).     

Protocol of a prospective study on the diagnostic value of transcranial duplex scanning of the substantia nigra in patients with parkinsonian symptoms

Background  

Parkinson's disease (PD) is the second most common neurodegenerative disorder. As there is no definitive diagnostic test, its diagnosis is based on clinical criteria. Recently transcranial duplex scanning (TCD) of the substantia nigra in the brainstem has been proposed as an instrument to diagnose PD. We and others have found that TCD scanning of substantia nigra duplex is a relatively accurate diagnostic instrument in patients with parkinsonian symptoms. However, all studies on TCD so far have involved well-defined, later-stage PD patients, which will obviously lead to an overestimate of the diagnostic accuracy of TCD.     

An improved method for the construction of decoy peptide MS/MS spectra suitable for the accurate estimation of false discovery rates

The relevance of libraries of annotated MS/MS spectra is growing with the amount of proteomic data generated in high-throughput experiments. These reference libraries provide a fast and accurate way to identify newly acquired MS/MS spectra. In the context of multiple hypotheses testing, the control of the number of false-positive identifications expected in the final result list by means of the calculation of the false discovery rate (FDR). In a classical sequence search where experimental MS/MS spectra are compared with the theoretical peptide spectra calculated from a sequence database, the FDR is estimated by searching randomized or decoy sequence databases. Despite on-going discussion on how exactly the FDR has to be calculated, this method is widely accepted in the proteomic community. Recently, similar approaches to control the FDR of spectrum library searches were discussed. We present in this paper a detailed analysis of the similarity between spectra of distinct peptides to set the basis of our own solution for decoy library creation (DeLiberator). It differs from the previously published results in some key points, mainly in implementing new methods that prevent decoy spectra from being too similar to the original library spectra while keeping important features of real MS/MS spectra. Using different proteomic data sets and library creation methods, we evaluate our approach and compare it with alternative methods.     

A distinct urinary biomarker pattern characteristic of female Fabry patients that mirrors response to enzyme replacement therapy

Female patients affected by Fabry disease, an X-linked lysosomal storage disorder, exhibit a wide spectrum of symptoms, which renders diagnosis, and treatment decisions challenging. No diagnostic test, other than sequencing of the alpha-galactosidase A gene, is available and no biomarker has been proven useful to screen for the disease, predict disease course and monitor response to enzyme replacement therapy. Here, we used urine proteomic analysis based on capillary electrophoresis coupled to mass spectrometry and identified a biomarker profile in adult female Fabry patients. Urine samples were taken from 35 treatment-naïve female Fabry patients and were compared to 89 age-matched healthy controls. We found a diagnostic biomarker pattern that exhibited 88.2% sensitivity and 97.8% specificity when tested in an independent validation cohort consisting of 17 treatment-naïve Fabry patients and 45 controls. The model remained highly specific when applied to additional control patients with a variety of other renal, metabolic and cardiovascular diseases. Several of the 64 identified diagnostic biomarkers showed correlations with measures of disease severity. Notably, most biomarkers responded to enzyme replacement therapy, and 8 of 11 treated patients scored negative for Fabry disease in the diagnostic model. In conclusion, we defined a urinary biomarker model that seems to be of diagnostic use for Fabry disease in female patients and may be used to monitor response to enzyme replacement therapy.