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Problems in obtaining diffraction-quality crystals of hetero-oligomeric integral membrane proteins.

The major barrier responsible for the slow pace of structure determination of integral membrane proteins is the difficulty of crystallizing detergent-solubilized hydrophobic proteins, particularly hetero-oligomeric integral membrane proteins. For the latter class of multi-subunit proteins, we have encountered the following problems in addition to the ubiquitous problem of detergent compatibility: (i) instability caused by over-purification that results in delipidation; (ii) protease activity degrading exposed loops and termini of subunits of the complex that could not be inhibited; (iii) poor protein-protein contacts presumably arising from masking by the detergent micelle. Problem (i) could be ameliorated in crystallization of the cytochrome b(6)f complex by augmenting the delipidated complex with synthetic lipid. Problem (ii) has not been solved. Problem (iii) has been solved in other systems by the use of monoclonal antibodies (or other protein ligands) to increase the probability of protein-protein contacts. In the case of the complex formed by the cobalamin and colicin receptor, BtuB, and the receptor binding domain of colicin E3, the latter served as a ligand for protein-protein contacts that facilitated crystallization.

Crystallization↗

Proteomic identification of proteins oxidized by Abeta(1-42) in synaptosomes: implications for Alzheimer's disease.

Protein oxidation has been implicated in Alzheimer's disease (AD) and can lead to loss of protein function, abnormal protein turnover, interference with cell cycle, imbalance of cellular redox potential, and eventually cell death. Recent proteomics work in our laboratory has identified specifically oxidized proteins in AD brain such as: creatine kinase BB, glutamine synthase, ubiquitin carboxy-terminal hydrolase L-1, dihydropyrimidase-related protein 2, alpha-enolase, and heat shock cognate 71, indicating that a number of cellular mechanisms are affected including energy metabolism, excitotoxicity and/or synaptic plasticity, protein turnover, and neuronal communication. Synapse loss is known to be an early pathological event in AD, and incubation of synaptosomes with amyloid beta peptide 1-42 (Abeta 1-42) leads to the formation of protein carbonyls. In order to test the involvement of Abeta(1-42) in the oxidation of proteins in AD brain, we utilized two-dimensional gel electrophoresis, immunochemical detection of protein carbonyls, and mass spectrometry to identify proteins from synaptosomes isolated from Mongolian gerbils. Abeta(1-42) treatment leads to oxidatively modified proteins, consistent with the notion that Abeta(1-42)-induced oxidative stress plays an important role in neurodegeneration in AD brain. In this study, we identified beta-actin, glial fibrillary acidic protein, and dihydropyrimidinase-related protein-2 as significantly oxidized in synaptosomes treated with Abeta(1-42). Additionally, H+-transporting two-sector ATPase, syntaxin binding protein 1, glutamate dehydrogenase, gamma-actin, and elongation factor Tu were identified as increasingly carbonylated. These results are discussed with respect to their potential involvement in the pathogenesis of AD.

Amyloid beta-Peptides↗

Proteomic analysis of 4-hydroxy-2-nonenal-modified proteins in G93A-SOD1 transgenic mice--a model of familial amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is an age-related, fatal motor neuron degenerative disease occurring both sporadically (sALS) and heritably (fALS), with inherited cases accounting for approximately 10% of diagnoses. Although multiple mechanisms likely contribute to the pathogenesis of motor neuron injury in ALS, recent advances suggest that oxidative stress may play a significant role in the amplification, and possibly the initiation, of the disease. Lipid peroxidation is one of the several outcomes of oxidative stress. Since the central nervous system (CNS) is enriched with polyunsaturated fatty acids, it is particularly vulnerable to membrane-associated oxidative stress. Peroxidation of cellular membrane lipids or circulating lipoprotein molecules generates highly reactive aldehydes, among which is 4-hydroxy-2-nonenal (HNE). HNE levels are increased in spinal cord motor neurons of ALS patients, indicating that lipid peroxidation is associated with the motor neuron degeneration in ALS. In the present study, we used a parallel proteomic approach to identify HNE-modified proteins in the spinal cord tissue of a model of fALS, G93A-SOD1 transgenic mice, in comparison to the nontransgenic mice. We found three significantly HNE-modified proteins in the spinal cord of G93A-SOD1 transgenic mice: dihydropyrimidinase-related protein 2 (DRP-2), heat-shock protein 70 (Hsp70), and possibly alpha-enolase. These results support the role of oxidative stress as a major mechanism in the pathogenesis of ALS. Structural alteration and activity decline of functional proteins may consistently contribute to the neurodegeneration process in ALS.

Aldehydes↗

The global gene expression response of Escherichia coli to L-phenylalanine.

We investigated the global gene expression changes of Escherichia coli due to the presence of different concentrations of phenylalanine or shikimate in the growth medium. The response to 0.5 g l(-1) phenylalanine primarily reflected a perturbed aromatic amino acid metabolism, in particular due to TyrR-mediated regulation. The addition of 5g l(-1) phenylalanine reduced the growth rate by half and elicited a great number of likely indirect effects on genes regulated in response to changed pH, nitrogen or carbon availability. Consistent with the observed gene expression changes, supplementation with shikimate, tyrosine and tryptophan relieved growth inhibition by phenylalanine. In contrast to the wild-type, a tyrR disruption strain showed increased expression of pckA and of tktB in the presence of phenylalanine, but its growth was not affected by phenylalanine at the concentrations tested. The absence of growth inhibition by phenylalanine suggested that at high phenylalanine concentrations TyrR-defective strains might perform better in phenylalanine production.

Bacterial Proteins↗

Geometrical distortions in two-dimensional gels: applicable correction methods.

Two-dimensional electrophoresis (2-DE) provides a rapid means for separating thousands of proteins from cell and tissue samples in one run. Although this powerful research tool has been enthusiastically applied in many fields of biomedical research, accurate analysis and interpretation of the data have provided many challenges. Several analysis steps are needed to convert the large amount of noisy data obtained with 2-DE into reliable and interpretable biological information. The goals of such analysis steps include accurate protein detection and quantification, as well as the identification of differentially expressed proteins between samples run on different gels. To achieve these goals, systematic errors such as geometric distortions between the gels must be corrected by using computer-assisted methods. A wide range of computer software has been developed, but no general consensus exists as standard for 2-DE data analysis protocol. The choice of analysis approach is an important element depending both on the data and on the goals of the experiment. Therefore, basic understanding of the algorithms behind the software is required for optimal results. This review highlights some of the common themes in 2-DE data analysis, including protein spot detection and geometric image warping using both spot- and pixel-based approaches. Several computational strategies are overviewed and their relative merits and potential pitfalls discussed. Finally, we offer our own personal view of future trends and developments in large-scale proteome research.

Electrophoresis, Gel, Two-Dimensional↗

Genomic and proteomic expression analysis of Leishmania promastigote and amastigote life stages: the Leishmania genome is constitutively expressed.

Leishmania are protozoan parasites that cause a wide spectrum of clinical diseases in humans and are a major public health risk in several countries. Leishmania life cycle consists of an extracellular flagellated promastigote stage within the midgut of a sandfly vector, and a morphological distinct intracellular amastigote stage within macrophages of a mammalian host. This study reports the use of DNA oligonucleotide genome microarrays representing 8160 genes to analyze the mRNA expression profiles of L. major promastigotes and lesion derived amastigotes. Over 94% of the genes were expressed in both life stages. Advanced statistical analysis identified a surprisingly low degree of differential mRNA expression: 1.4% of the total genes in amastigotes and 1.5% in promastigotes. These microarray results demonstrate that the L. major genome is essentially constitutively expressed in both life stages and suggest that Leishmania is constitutively adapted for survival and replication in either the sandfly vector or macrophage host utilizing an appropriate set of genes for each vastly different environment. Quantitative proteomics, using the isotope coded affinity tag (ICAT) technology and mass spectrometry, was used to identify L. infantum promastigote and axenic amastigote differentially expressed proteins. Of the 91 distinct proteins identified, 8% were differentially expressed in the amastigote stage, 20% were differentially expressed in the promastigote stage, and the remaining 72% were considered constitutively expressed. The differential expression was validated by the identification of previously reported stage specific proteins and identified several amastigote and promastigote novel stage specific proteins.

Adaptation, Physiological↗

Fractionation of isotopically labeled peptides in quantitative proteomics.

The goal of quantitative proteomics is to examine the expression levels of all of the proteins in a biological system and recognize those that change as a function of some stimulus. Quantification is now frequently based on derivatization of peptides with isotopically distinguishable labeling agents. This study examines the extent to which isotopic forms of peptides having the same amino acid sequence are resolved by reversed-phase chromatography and assesses the degree to which resolution of these isotopically different forms of a peptide impact quantification. Three derivatizing agents were examined, the do and d3 forms of N-acetoxysuccinimide, the do and d4 forms of succinic anhydride, and the do and d8 forms of the commercial ICAT reagent Peptide mixtures from control and experimental samples were derivatized individually, mixed, subjected to reversed-phase chromatography, and analyzed by ESI-MS. When partial resolution of the isotopic forms of a peptide occurs, the largest error in assessing the true isotope ratio in a sample occurs when sampling at the extremes of a peak. Early in the elution of a peak, the sample will be enriched in the deuterated species, whereas the opposite is true at the tailing edge of a peak. Acetylated peptides showed the lowest degree of separation. Resolution of the deuterated and nondeuterated forms in this case was 0.023. This amounts to slightly over a 1-s difference in their peak maxima and can cause a typical error of +/- 6% at the leading and tailing edges of a peak. In contrast, resolution of the deuterated and nondeuterated forms of the ICAT reagent were calculated to be 0.45. This means that in a peak of 1-min width (W1/2), the peak maxima will vary by approximately 30 s, and measurement errors of -83 and +500% can occur at the leading and tailing edges of a peak. It is concluded that resolution of isotopic forms of a peptide can cause substantial quantification errors in quantitative proteomics.

Angiotensin I↗

Application of two-dimensional gel electrophoresis to interrogate alterations in the proteome of genetically modified crops. 2. Assessing natural variability.

Proteomics is currently tested as a complementary tool for the safety assessment of genetically modified (GM) crops. Understanding the natural variability of the proteome is crucial for the interpretation of biological differences between transgenic and nontransgenic parental lines. The natural variation of seed protein profiles among a set of 12 Arabidopsis thaliana ecotypes was determined by utilizing two-dimensional electrophoresis (2DE). The total number of different resolved protein spots found among the 12 ecotypes was 931 with a range of 573 (Mt-0) to 653 (Condara) in any one ecotype. Although the ecotypes were grown side-by-side in an environmentally controlled growth chamber, almost half of the resolved spots varied with respect to their presence/absence, and 95% of the spots present in all ecotypes varied in spot quantity (2-53-fold). In the evaluation of unintended effects of genetic modification, it is concluded that the experimental design must account for existing natural variability, which, in the case of the expressed proteome, can be substantial.

Arabidopsis↗

Evaluation of shotgun sequencing for proteomic analysis of human plasma using HPLC coupled with either ion trap or Fourier transform mass spectrometry.

This paper reports on studies directed to the characterization of the proteome of human plasma by the shotgun sequencing approach, namely the use of HPLC coupled to mass spectrometry (MS). The report will present data from two laboratories that allows the comparison of peptide and protein identifications by either accurate mass measurement on a Fourier transform mass spectrometry or MS/MS fragmentation on an ion trap mass spectrometer. Because the dynamic range of the protein components of plasma is one of the largest for a biological sample, the analysis of such a challenging sample was aided by the use of these two MS approaches. The major classes of proteins observed were transport proteins, enzymes, and enzyme inhibitors, blood-clotting factors, membrane-associated proteins including soluble forms of receptors, hormones, immunoglobulins, and other glycoproteins. The protein identifications were also highly consistent with results obtained from 2D gel studies, although a larger number of additional proteins were observed with the shotgun sequencing approach. The quantitation of low to medium level proteins was explored in the ion trap with an add-back of a known amount of human growth hormone (hGH) at a clinically relevant level (5 ug/L). The isotope coded affinity tag (ICAT) approach was used to quantitate successfully different levels of hGH in replicate analysis via the disulfide linked tryptic peptide (T6-T16). These studies suggest that the shotgun sequencing approach can be used to characterize part of the plasma proteome and serve as a starting point for the use of multidimensional analytical approaches for the analysis of complex biological samples.

Algorithms↗

Biofilm proteome: homogeneity or versatility?

The problems associated with biofilm infections in humans result from the distinct characteristics of biofilms, in particular their high level of resistance to antibiotics. One of the hypotheses that have been advanced to explain this resistance to antimicrobials is the phenotypic differentiation of biofilm cells. Although many studies on biofilms have highlighted physiological alterations following the attachment of bacteria to a surface, no studies have explicitly demonstrated a "biofilm" physiology. To contribute to this topical debate, we used principal component analysis to interpret spot quantity variations observed on electropherograms obtained by two-dimensional gel electrophoresis of crude protein extracts from planktonic and sessile Pseudomonas aeruginosa cells. These analyses showed that the proteome of attached P. aeruginosa cells differs from that of their planktonic counterparts. Furthermore, we found that the proteome of sessile P. aeruginosa is strongly dependent on the nature of the biofilm substratum.

Bacterial Proteins↗

InSilicoSpectro: an open-source proteomics library.

We present a new proteomics open-source project, InSilicoSpectro, aimed at implementing recurrent computations that are necessary for proteomics data analysis. Illustrative examples are mass list file format conversions, protein sequence digestion, theoretical peptide and fragment mass computations, graphical display, matching with experimental data, isoelectric point estimation, and peptide retention time prediction. The project library is written in Perl, a widely used scripting language in bioinformatics, and it offers a unique framework of integrated objects to implement complex proteomics data analyses. For instance, only a few lines of code are required to digest a protein with fixed and variable modifications, label peptides with 18O, compute the fragmentation spectra and display their match with experimental spectra. We believe that InSilicoSpectro will be of great help to bioinformaticians, without detailed knowledge of proteomics specifics, and to mass spectrometrists with computer programming interest as well.

Amino Acid Sequence↗

Lumbar cerebrospinal fluid proteome in multiple sclerosis: characterization by ultrafiltration, liquid chromatography, and mass spectrometry.

Neurological diseases, including multiple sclerosis (M.S.), often provoke changes in the functioning of the endothelial and epithelial brain barriers and give rise to disease-associated alterations of the cerebrospinal fluid (CSF) proteome. In the present study, pooled and ultrafiltered CSF of M.S. and non-M.S. patients was digested with trypsin and analyzed by off-line strong cation-exchange chromatography (SCX) coupled to on-line reversed-phase LC-ESI-MS/MS. In an alternative approach, the trypsin-treated subproteomes were analyzed directly by LC-ESI-MS/MS and gas-phase fractionation in the mass spectrometer. Taken together, both proteomic approaches in combination with a three-step evaluation process including the search engines Sequest and Mascot, and the validation software Scaffold, resulted in the identification of 148 proteins. Sixty proteins were identified in CSF for the first time by mass spectrometry. For validation purposes, the concentration of cystatin A was determined in individual CSF and serum samples of M.S. and non-M.S. patients using ELISA.

Adult↗

A novel approach of protein immobilization for protein chips using an oligo-cysteine tag.

Protein chip technology is essential for high-throughput functional proteomics. We developed a novel protein tag consisting of five tandem cysteine repeats (Cys-tag) at termini of proteins. The Cys-tag was designed to allow covalent attachment of proteins to the surface of a maleimide-modified, diamond-like, carbon-coated silicon substrate. As model proteins, we created an enhanced green fluorescent protein (EGFP) and an EGFP-stathmin fusion protein, both of which contained a Cys-tag. We also included an oligo-histidine tag to allow its purification by the use of Ni beads, and we expressed the protein in Escherichia coli. The purified Cys-tagged EGFP could be captured on the maleimide-coated substrate efficiently so that 50 pg of the fusion protein was detected by fluorescence, and as little as 5 pg was immunodetected by combination with enhanced chemiluminescence. This highly sensitive immunodetection may be due to the strong covalent binding of the Cys-tag to the substrate combined with efficient exposure of the protein to the surrounding solution. Thus, the Cys-tag should be useful for developing a novel protein printing method for protein chips that requires very low amounts of protein and can be used for high-performance analysis of protein-ligand interactions.

Cysteine↗

The nuclear proteome of chickpea (Cicer arietinum L.) reveals predicted and unexpected proteins.

Nuclear proteins constitute a highly organized, complex network that plays diverse roles during cellular development and other physiological processes. The yeast nuclear proteome corresponds to about one-fourth of the total cellular proteins, suggesting the involvement of the nucleus in a number of diverse functions. In an attempt to understand the complexity of plant nuclear proteins, we have developed a proteome reference map of a legume, chickpea, using two-dimensional gel electrophoresis (2-DE). Approximately, 600 protein spots were detected, and LC-ESI-MS/MS analyses led to the identification of 150 proteins that have been implicated in a variety of cellular functions. The largest percentage of the identified proteins was involved in signaling and gene regulation (36%), while 17% were involved in DNA replication and transcription. The chickpea nuclear proteome indicates the presence of few new nuclear proteins of unknown functions vis-à-vis many known resident proteins. To the best of our knowledge, this is the first report of a nuclear proteome of an unsequenced genome.

Chromatography, Liquid↗

Analysis of drug-induced effect patterns to link structure and side effects of medicines.

The high failure rate of experimental medicines in clinical trials accentuates inefficiencies of current drug discovery processes caused by a lack of tools for translating the information exchange between protein and organ system networks. Recently, we reported that biological activity spectra (biospectra), derived from in vitro protein binding assays, provide a mechanism for assessing a molecule's capacity to modulate the function of protein-network components. Herein we describe the translation of adverse effect data derived from 1,045 prescription drug labels into effect spectra and show their utility for diagnosing drug-induced effects of medicines. In addition, notwithstanding the limitation imposed by the quality of drug label information, we show that biospectrum analysis, in concert with effect spectrum analysis, provides an alignment between preclinical and clinical drug-induced effects. The identification of this alignment provides a mechanism for forecasting clinical effect profiles of medicines.

Computer Simulation↗

Detecting remotely related proteins by their interactions and sequence similarity.

The function of an uncharacterized protein is usually inferred either from its homology to, or its interactions with, characterized proteins. Here, we use both sequence similarity and protein interactions to identify relationships between remotely related protein sequences. We rely on the fact that homologous sequences share similar interactions, and, therefore, the set of interacting partners of the partners of a given protein is enriched by its homologs. The approach was bench-marked by assigning the fold and functional family to test sequences of known structure. Specifically, we relied on 1,434 proteins with known folds, as defined in the Structural Classification of Proteins (SCOP) database, and with known interacting partners, as defined in the Database of Interacting Proteins (DIP). For this subset, the specificity of fold assignment was increased from 54% for position-specific iterative BLAST to 75% for our approach, with a concomitant increase in sensitivity for a few percentage points. Similarly, the specificity of family assignment at the e-value threshold of 10(-8) was increased from 70% to 87%. The proposed method would be a useful tool for large-scale automated discovery of remote relationships between protein sequences, given its unique reliance on sequence similarity and protein-protein interactions.

Computational Biology↗

The acyl-AMP ligase FadD32 and AccD4-containing acyl-CoA carboxylase are required for the synthesis of mycolic acids and essential for mycobacterial growth: identification of the carboxylation product and determination of the acyl-CoA carboxylase components.

Mycolic acids are major and specific long-chain fatty acids of the cell envelope of several important human pathogens such as Mycobacterium tuberculosis, M. leprae, and Corynebacterium diphtheriae. Their biosynthesis is essential for mycobacterial growth and represents an attractive target for developing new antituberculous drugs. We have previously shown that the pks13 gene encodes condensase, the enzyme that performs the final condensation step of mycolic acid biosynthesis and is flanked by two genes, fadD32 and accD4. To determine the functions of the gene products we generated two mutants of C. glutamicum with an insertion/deletion within either fadD32 or accD4. The two mutant strains were deficient in mycolic acid production and exhibited the colony morphology that typifies the mycolate-less mutants of corynebacteria. Application of multiple analytical approaches to the analysis of the mutants demonstrated the accumulation of a tetradecylmalonic acid in the DeltafadD32::km mutant and its absence from the DeltaaccD4::km strain. The parental corynebacterial phenotype was restored upon the transfer of the wild-type fadD32 and accD4 genes in the mutants. These data demonstrated that both FadD32 and AccD4-containing acyl-CoA carboxylase are required for the production of mycolic acids. They also prove that the proteins catalyze, respectively, the activation of one fatty acid substrate and the carboxylation of the other substrate, solving the long-debated question of the mechanism involved in the condensation reaction. We used comparative genomics and applied a combination of molecular biology and proteomic technologies to the analysis of proteins that co-immunoprecipitated with AccD4. This resulted in the identification of AccA3 and AccD5 as subunits of the acyl-CoA carboxylase. Finally, we used conditionally replicative plasmids to show that both the fadD32 and accD4 genes are essential for the survival of M. smegmatis. Thus, in addition to Pks13, FadD32 and AccD4 are promising targets for the development of new antimicrobial drugs against pathogenic species of mycobacteria and related microorganisms.

Amino Acid Sequence↗