Proteomic analysis of exhaled breath condensate for diagnostics of respiratory system diseases

Study of proteomic composition of exhaled breath condensate (EBC) is a promising non-invasive method for diagnostics of respiratory system diseases in patients. In this study the EBC proteomic composition of 53 donors, including patients with different respiratory system diseases has been investigated. Cytoskeletal keratins type II (1, 2, 3, 4, 5, 6) and cytoskeletal keratins type I (9, 10, 14, 15, 16) were invariant for all samples. Analyzing the frequency of occurrence of proteins in different groups of examined patients, several categories of proteins have been recognized: proteins found in all pathologies (dermcidin, alpha-1- microglobulin, SHROOM3), proteins simultaneously found in two groups (CSTA, LCN1, JUP, PIP, TXN), and proteins specific for a particular group (PRDX1, annexin A1/A2). The EBC analysis by HPLC-MS/MS can be used for identification of potential protein markers specific for inflammatory pulmonary diseases of infective origin (pneumonia) as well as for non-infectious diseases such as chronic obstructive pulmonary disease (COPD).     

Synthesis and catalytic activity of polypeptides of regular structure containing polyfunctional amino acids

Synthesis and study of catalytic properties of a series of regular polypeptide which contain residues of polyfunctional amino acids forming the active centre of esterases are described viz. (Ala-Tyr-Glu)n, (His-Ser-Glu)n, (Glu-His-Glu)n, (His-Glu)n, (Ser-His-Glu)n, His-(Tyr-Glu)n. Possibility of constructing catalytically active model polypeptides which can substitute some hydrolytic enzymes is assessed. Monomers for polycondensation were been synthesized by carbodiimide method in solution, and polypeptides were obtained via 2,4,5-trichlorphenylates. Gel-filtration was used for fractionation of and molecular mass-determination of polypeptides. Catalytic properties of the synthetic polypeptides were studied in hydrolysis of p-NFA, Z-L-Ala-ONp, and Z-D-Ala-ONp. It was revealed that polypeptides (Ala-Tyr-Glu)n and (His-Ser-Glu)n possess, in hydrolysis of Z-L-Ala-ONp- and Z-D-Ala-ONp some enantioselectivity with the value of KD/KL 1.3 and 1.17, resp. The upper and lower limits of enantioselectivity as dependent of the molecular mass of the corresponding polypeptides have been determined.     

Studies of esterase 6 in Drosophila melanogaster. XVIII. Biochemical differences between the slow and fast allozymes

Most natural populations of Drosophila melanogaster are polymorphic for two major electrophoretic variants at the esterase-6 locus. The frequency of the EST 6F allozyme is greatest in populations in warmer latitudes, whereas the EST 6S allozyme is predominant in colder latitudes. Latitudinal clines in electromorph frequencies are found on three continents. Purified preparations of the allozymes have been characterized for their pH optimum, substrate specificity, organophosphate inhibition, alcohol activation, thermal stability, and kinetic parameters. These and previous analyses of the EST 6 allozymes reveal that the two variants have differences in their physical and kinetic properties that may provide a basis for the selective maintenance of the polymorphisms and an explanation of the clinal variation observed in natural populations.      

The inhibitor of apoptosis protein fusion c-IAP2.MALT1 stimulates NF-kappaB activation independently of TRAF1 AND TRAF2

The inhibitors of apoptosis (IAPs) are a family of cell death inhibitors found in viruses and metazoans. All members of the IAP family have at least one baculovirus IAP repeat (BIR) motif that is essential for their anti-apoptotic activity. The t(11, 18)(q21;q21) translocation fuses the BIR domains of c-IAP2 with the paracaspase/MALT1 (mucosa-associated lymphoid tissue) protein, a critical mediator of T cell receptor-stimulated activation of NF-kappaB. The c-IAP2.MALT1 fusion protein constitutively activates the NF-kappaB pathway, and this is considered critical to malignant B cell transformation and lymphoma progression. The BIR domains of c-IAP1 and c-IAP2 interact with tumor necrosis factor receptor-associated factors 1 and 2 (TRAF1 and TRAF2). Here we investigated the importance of TRAF1 and TRAF2 for c-IAP2.MALT1-stimulated NF-kappaB activation. We identified a novel epitope within the BIR1 domains of c-IAP1 and c-IAP2 that is crucial for their physical interaction with TRAF1 and TRAF2. The c-IAP2.MALT1 fusion protein associates with TRAF1 and TRAF2 using the same binding site. We explored the functional relevance of this interaction and established that binding to TRAF1 and TRAF2 is not required for c-IAP2.MALT1-stimulated NF-kappaB activation. Furthermore, gene ablation of TRAF2 or combined down-regulation of TRAF1 and TRAF2 did not affect c-IAP2.MALT1-stimulated signaling. However, TRAF1/2-binding mutants of c-IAP2.MALT1 still oligomerize and activate NF-kappaB, suggesting that oligomerization might be important for signaling of the fusion protein. Therefore, the t(11, 18)(q21;q21) translocation creating the c-IAP2.MALT1 fusion protein activates NF-kappaB and contributes to human malignancy in the absence of signaling adaptors that might otherwise regulate its activity.     

Hierarchical classification of hydrolases catalytic sites

Universal ontology of catalytic sites is required to systematize enzyme catalytic sites, their evolution as well as relations between catalytic sites and protein families, organisms and chemical reactions. Here we present a classification of hydrolases catalytic sites based on hierarchical organization. The web-accessible database provides information on the catalytic sites, protein folds, EC numbers and source organisms of the enzymes and includes software allowing for analysis and visualization of the relations between them. AVAILABILITY: http://www.enzyme.chem.msu.ru/hcs/     

Historical trends in frog populations in New Zealand based on public perceptions

Surveys were distributed to New Zealand land users in 1998 and 2008 to acquire information about New Zealand frogs with the aim of compiling and mapping their distribution and inferred population trends without costly and time-consuming field surveys. The overall frog population trend was reported as declining, with possible causes reported as an increase in agriculture, an increase in the distribution of predatory fish and disease. The resultant maps could be used for four main purposes: 1) to identify regions where Litoria populations are known to occur, which can be eliminated when considering suitable regions for translocation of Leiopelma; 2) to identify growing or stable populations of Litoria species, which may assist future disease surveys, population monitoring and to identify sources of genetic material that may serve as an Ark for declining Australian populations; 3) to highlight populations that are in decline to enable effective targeting of detailed disease studies; and 4) to approximate the stability of amphibian populations in the absence of more accurate, but costly, scientific monitoring.     

A novel harmony search-K means hybrid algorithm for clustering gene expression data

Recent progress in bioinformatics research has led to the accumulation of huge quantities of biological data at various data sources. The DNA microarray technology makes it possible to simultaneously analyze large number of genes across different samples. Clustering of microarray data can reveal the hidden gene expression patterns from large quantities of expression data that in turn offers tremendous possibilities in functional genomics, comparative genomics, disease diagnosis and drug development. The k- ¬means clustering algorithm is widely used for many practical applications. But the original k-¬means algorithm has several drawbacks. It is computationally expensive and generates locally optimal solutions based on the random choice of the initial centroids. Several methods have been proposed in the literature for improving the performance of the k-¬means algorithm. A meta-heuristic optimization algorithm named harmony search helps find out near-global optimal solutions by searching the entire solution space. Low clustering accuracy of the existing algorithms limits their use in many crucial applications of life sciences. In this paper we propose a novel Harmony Search-K means Hybrid (HSKH) algorithm for clustering the gene expression data. Experimental results show that the proposed algorithm produces clusters with better accuracy in comparison with the existing algorithms.     

Exogenic proteins in the human exhaled breath condensate

The analysis of the protein composition of exhaled breath to diagnose diseases of the respiratory system raises a problem of differentiation proteins of expressed in the tissues of the lungs and respiratory tract (endogenous) and got in the respiratory system from the ambient air in the process of respiration (exogenous). In this work an attempt was made to estimate a set of exhaled exogenic proteins by mass spectrometry coupled with nanoflow HPLC. Six-month isolation of healthy donors indoors with air cleaned of dust leads to removal from the spectrum of exhaled proteins of some keratins that are considered therefore to be exogenic. Non-keratin proteins may also circulate between the ambient air and human respiratory ways, but their concentration appears to be significantly lower the keratin concentrations (especially epidermis keratin). Among non-keratins dermcidin seems to be the most significant exogenic protein of exhaled air. The conclusion of the diagnostic value of exhaled proteins can be done only after careful comparison of the results of quantitative and qualitative analysis of their composition in norm and pathology for a statistically significant sample of donors.