A new approach for study of structural and functional properties of proteins with unknown functions

Selected proteins were produced in Escherichia coli bacterial expression system--three proteins from extremophil bacteria: a putative monooxygenase from Deinococcus radiodurans, a putative nucleotidyltransferase from Thermotoga maritima, a putative oxidoreductase from Exiguobacterium sibiricum; and a shaperon from Homo sapiens DJ-1. The protocol of isolation & purification of recombinant proteins were developed that allowed to obtain expression products with the purity of no less than 96%. Conditions for the crystallization have been selected that allowed a stable growth of crystals. Preliminary x-ray experiments were conducted in order to confirm the quality of produced crystals; the resolution of obtained structural data was from 1.2 to 1.8 angstrom.     

A global approach to identify novel broad-spectrum antibacterial targets among proteins of unknown function

Attempted allelic replacement of 144 Streptococcus pneumoniae open reading frames of previously uncharacterized function led to the identification of 36 genes essential for growth under laboratory conditions. Of these, 14 genes (obg, spoIIIJ2, trmU, yacA, yacM, ydiC, ydiE, yjbN, yneS, yphC, ysxC, ytaG, yloI and yxeH4) were also essential in Staphylococcus aureus and Haemophilus influenzae or Escherichia coli, 2 genes (yrrK and ydiB) were only essential in H. influenzae as well as S. pneumoniae and 8 genes were necessary for growth of S.pneumoniae and S. aureus and did not have a homolog in H. influenzae(murD2, ykqC, ylqF, yqeH, ytgP, yybQ) or were not essential in that organism (yqeL, yhcT). The proteins encoded by these genes could represent good targets for novel antibiotics covering different therapeutic profiles. The putative functions of some of these essential proteins, inferred by bioinformatic analysis, are presented. Four mutants, with deletions of loci not essential for in vitro growth, were found to be severely attenuated in a murine respiratory tract infection model, suggesting that not all targets for antibacterial therapeutics are revealed by simple in vitro essentiality testing. The results of our experiments together with those collated from previously reported studies including Bacillus subtilis, E. coli and Mycoplasma sp. demonstrate that gene conservation amongst bacteria does not necessarily indicate that essentiality in one organism can be extrapolated to others. Moreover, this study demonstrates that different experimental procedures can produce apparently contradictory results.     

A new approach for studying interaction of the polygalacturonase-inhibiting proteins with pectins

A method for determination of the interaction between pectins and proteins was developed using cross-linked polygalacturonic acid (CLPG) as the pectic substrate and polygalacturonase-inhibiting proteins (PGIPs). Defined water-insoluble pectins were prepared by chemical substitutions with acetyl or methoxyl groups on CLPG. In the presence of 0.1 M NaCl, PGIPs fully bound to CLPG but not to cross-linked alginic acid (CLAL), which had a similar pK(a) to CLPG, suggesting that the inhibitor was not simply bound to the substrate by nonspecific electrostatic interaction. Optimum binding of PGIPs to CLPG occurred at pH 2.4 to 4.7. The binding ability of the inhibitor to CLPGs with degree of methylation (DM) of 66% or degree of acetylation (DAc) of 133% was not significantly changed. In contrast, the DM of 82% or 95% decreased the binding. These results indicated that the carboxylic groups of galacturonic acid residues were involved in the recognition of the substrate by PGIPs.     

A novel and rapid approach to isolating functional ryanodine receptors

Conventional methods of isolating and reconstituting ryanodine receptors (RyRs) from native membranes into proteoliposomes take a minimum of 2 days to complete. We have developed an alternative strategy that can be used to isolate and reconstitute functional RyRs in just 3 h with a similar degree of purification. RyRs isolated by this method display characteristic functional behaviour as assessed by radioligand binding and single channel analyses.     

A novel structural motif and structural trees for proteins containing it

In the present study, a novel structural motif that can be represented as a combination of the known βαβ-unit and ψ-motif is described and analyzed. In theory, there are four possible combinations of the motifs since each of them can exist in two forms, left-handed and right-handed. For this study, we have selected 140 nonhomologous proteins in which 158 combinations of such types have been found. The combination of the right-handed ψ-motif and the right-handed βαβ-unit has been shown to occur most often (87 cases out of 158) and the combination of the left-handed βαβ-unit and the left-handed ψ-motif does not occur at all. Three novel structural trees in which the commonly occurring combinations are taken as the root structures have been constructed.     

Recurring structural motifs in proteins with different functions

BACKGROUND: Structures that have diverged from a common ancestor often retain functional and sequence similarity, although the latter may be very reduced. Even so, the overall fold of the structure is generally highly conserved. Now however, several have been identified of proteins that have been identified that have different functions but which have converged to a similar fold. These proteins will also have low sequence identities. RESULTS: By comparing the complete structure databank against itself, using sequence and structure alignment techniques, we have been able to identify six new examples of structurally related folds that have no apparent sequence or functional similarity. These related proteins include a family of crambin-like folds and a family of ferredoxin II folds. We found that all the similarities between structures are present in small proteins and occur as motifs within the core of a larger protein. CONCLUSION: The low sequence similarity and the lack of any obvious functional relationship between proteins with similar structures suggest that the proteins have diverged from independent ancestors. The similarities may therefore be of interest for understanding the various stereochemical and physical criteria that operate to generate a favourable fold.     

A Northwestern blotting approach for studying iron regulatory element-binding proteins

At least two proteins binding to iron regulatory elements (IRE) in mRNA are known, designated as iron regulatory proteins (IRP) 1 and 2. Their binding activity is widely studied by electrophoretic mobility shift assays (EMSA), which resolves one or two bands depending on the species. We used Northwestern blotting to resolve this EMSA complex into four components, and identified two other IRE-binding peptides present in HepG2 cell extracts. We designate these six peptide bands A to F on Northwestern blots, ranging in apparent molecular weight from 111 to 37 kDa. Band C is lost when cells are preloaded with iron or when leupeptin (but not several other protease inhibitors) is included in the extraction buffer. Band E is also lost with leupeptin but increases with iron loading. Binding of all bands is sensitive to iron in vitro. Two-dimensional electrophoresis reveals additional processing, especially indicating charge variants of band C. Northwestern bands A and B both react with an antibody to IRP-1 on parallel Western blots. We conclude that cellular processing can produce multiple IRE-binding species that may be involved in a more complex regulation of iron metabolism than generally appreciated. The Northwestern approach should facilitate studies of processing and binding requirements of proteins and peptides that recognize the IRE sequence. (Mol Cell Biochem 268: 67–74, 2005)     

A novel cleavage product of human complement component C3 with structural and functional properties of cobra venom factor

The generation of two cleavage products of human C3, termed C3o and C3p, by incubation with a C3-cleaving protease isolated from cobra venom (Naja naja siamensis) is described. The venom protease removes the C3p fragment (Mr approximately 33,000) from the C3dg region of the C3 alpha-chain. The major cleavage fragment C3o (Mr approximately 140,000) contains the unaltered beta-chain of C3 and two alpha-chain-derived polypeptides of Mr approximately 29,000 and Mr approximately 38,000, respectively. Amino-terminal amino acids sequence analysis of C3p and the three chains of C3o allowed the identification of the exact location of the two alpha-chain-derived fragments of C3o and the three cleavage sites of the venom protease. The chain structure of C3o resembles those of C3c and cobra venom factor. In contrast to C3c but like cobra venom factor (and C3b), C3o was found to support the activation of the serine protease Factor B by cleavage in the presence of Factor D and Mg2+ into Bb and Ba, generating an enzymatically active complex that is able to cleave a fluorogenic peptide substrate for C3 convertases. Since the only stretch of amino acid residues of C3o not present in C3c is the carboxyl terminus of the Mr approximately 29,000 chain of C3o, it is suggested that this region is important for the interaction with Factor B and convertase formation.     

An approach to studying lung cancer-related proteins in human blood

Early stage lung cancer detection is the first step toward successful clinical therapy and increased patient survival. Clinicians monitor cancer progression by profiling tumor cell proteins in the blood plasma of afflicted patients. Blood plasma, however, is a difficult cancer protein assessment medium because it is rich in albumins and heterogeneous protein species. We report herein a method to detect the proteins released into the circulatory system by tumor cells. Initially we analyzed the protein components in the conditioned medium (CM) of lung cancer primary cell or organ cultures and in the adjacent normal bronchus using one-dimensional PAGE and nano-ESI-MS/MS. We identified 299 proteins involved in key cellular process such as cell growth, organogenesis, and signal transduction. We selected 13 interesting proteins from this list and analyzed them in 628 blood plasma samples using ELISA. We detected 11 of these 13 proteins in the plasma of lung cancer patients and non-patient controls. Our results showed that plasma matrix metalloproteinase 1 levels were elevated significantly in late stage lung cancer patients and that the plasma levels of 14-3-3 sigma, beta, and eta in the lung cancer patients were significantly lower than those in the control subjects. To our knowledge, this is the first time that fascin, ezrin, CD98, annexin A4, 14-3-3 sigma, 14-3-3 beta, and 14-3-3 eta proteins have been detected in human plasma by ELISA. The preliminary results showed that a combination of CD98, fascin, polymeric immunoglobulin receptor/secretory component and 14-3-3 eta had a higher sensitivity and specificity than any single marker. In conclusion, we report a method to detect proteins released into blood by lung cancer. This pilot approach may lead to the identification of novel protein markers in blood and provide a new method of identifying tumor biomarker profiles for guiding both early detection and therapy of human cancer.     

Surfactant-associated proteins: functions and structural variation

Pulmonary surfactant is a barrier material of the lungs and has a dual role: firstly, as a true surfactant, lowering the surface tension; and secondly, participating in innate immune defence of the lung and possibly other mucosal surfaces. Surfactant is composed of approximately 90% lipids and 10% proteins. There are four surfactant-specific proteins, designated surfactant protein A (SP-A), SP-B, SP-C and SP-D. Although the sequences and post-translational modifications of SP-B and SP-C are quite conserved between mammalian species, variations exist. The hydrophilic surfactant proteins SP-A and SP-D are members of a family of collagenous carbohydrate binding proteins, known as collectins, consisting of oligomers of trimeric subunits. In view of the different roles of surfactant proteins, studies determining the structure-function relationships of surfactant proteins across the animal kingdom will be very interesting. Such studies may reveal structural elements of the proteins required for surface film dynamics as well as those required for innate immune defence. Since SP-A and SP-D are also present in extrapulmonary tissues, the hydrophobic surfactant proteins SP-B and SP-C may be the most appropriate indicators for the evolutionary origin of surfactant. SP-B is essential for air-breathing in mammals and is therefore largely conserved. Yet, because of its unique structure and its localization in the lung but not in extrapulmonary tissues, SP-C may be the most important indicator for the evolutionary origin of surfactant.     

ADAPT: a molecular mechanics approach for studying the structural properties of long DNA sequences.

We describe an original approach to determining sequence-structure relationships for DNA. This approach, termed ADAPT, combines all-atom molecular mechanics with a multicopy algorithm to build nucleotides that contain all four standard bases in variable proportions. These nucleotides enable us to search very rapidly for base sequences that energetically favor chosen types of DNA deformation or chosen DNA-protein or DNA-ligand interactions. Sequences satisfying the chosen criteria can be found by energy minimization, combinatorial sequence searching, or genome scanning, in a manner similar to the threading approaches developed for protein structure prediction. In the latter case, we are able to analyze roughly 2000 base pairs per second. Applications of the method to DNA allomorphic transitions, DNA deformation, and specific DNA interactions are presented.     

A data-mining approach for multiple structural alignment of proteins

Comparing the 3D structures of proteins is an important but computationally hard problem in bioinformatics. In this paper, we propose studying the problem when much less information or assumptions are available. We model the structural alignment of proteins as a combinatorial problem. In the problem, each protein is simply a set of points in the 3D space, without sequence order information, and the objective is to discover all large enough alignments for any subset of the input. We propose a data-mining approach for this problem. We first perform geometric hashing of the structures such that points with similar locations in the 3D space are hashed into the same bin in the hash table. The novelty is that we consider each bin as a coincidence group and mine for frequent patterns, which is a well-studied technique in data mining. We observe that these frequent patterns are already potentially large alignments. Then a simple heuristic is used to extend the alignments if possible. We implemented the algorithm and tested it using real protein structures. The results were compared with existing tools. They showed that the algorithm is capable of finding conserved substructures that do not preserve sequence order, especially those existing in protein interfaces. The algorithm can also identify conserved substructures of functionally similar structures within a mixture with dissimilar ones. The running time of the program was smaller or comparable to that of the existing tools.     

Fungal rhodopsins and opsin-related proteins: eukaryotic homologues of bacteriorhodopsin with unknown functions.

In the last decade, several genome sequencing projects revealed the existence of previously unknown photoreceptors. Among those are eukaryotic rhodopsins of haloarchaeal type, mostly represented by fungal sequences. We have classified and analyzed seventy-seven of these fungal proteins, which show a high similarity of their putative transmembrane regions to those of bacteriorhodopsin. Those sequences can be divided into the two subgroups, fungal rhodopsins (RDs) and opsin-related proteins (ORPs), the latter lacking the lysine residue necessary for retinal binding. We have analyzed the conservation pattern of the residues known to have functional or structural importance in bacteriorhodopsin and discussed dramatic differences in the conservation between RDs and ORPs. We found many cases of multiple forms of RDs and/or ORPs and examined possible reasons for such multiplicity. For some species the reason may lie in functional photobiological diversification, while for the others it follows the pattern of evolutionary recent genome duplication and possible functional redundancy.     

A novel approach for studying angiogenesis: A human skin equivalent with a capillary-like network

Angiogenesis results from an ordered set of events that can be modulated in vivo by a variety of angiogenesis-enhancing or inhibiting agents. We review in vitro angiogenesis models and the agents that enhance or inhibit angiogenesis. We also discuss a new in vitro angiogenesis model created within a skin equivalent. Briefly, endothelial cells were combined with the cutaneous cells of a standard skin equivalent and cultured in a chitosan cross-linked collagen-glycosaminoglycan scaffold of this endothelialized skin. This model enables the formation of capillary-like structures in a coculture environment containing newly synthesized extracellular matrix by fibroblasts and keratinocytes. Several morphological characteristics associated with the microvasculature in vivo were observed in the endothelialized skin equivalent such as histotypic organization of tubular structures, basement membrane deposition, and intercellular junction formation. This revised version was published online in July 2006 with corrections to the Cover Date.     

A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins

Comparative modeling methods can consistently produce reliable structural models for protein sequences with more than 25% sequence identity to proteins with known structure. However, there is a good chance that also sequences with lower sequence identity have their structural components represented in structural databases. To this end, we present a novel fragment-based method using sets of structurally similar local fragments of proteins. The approach differs from other fragment-based methods that use only single backbone fragments. Instead, we use a library of groups containing sets of sequence fragments with geometrically similar local structures and extract sequence related properties to assign these specific geometrical conformations to target sequences. We test the ability of the approach to recognize correct SCOP folds for 273 sequences from the 49 most popular folds. 49% of these sequences have the correct fold as their top prediction, while 82% have the correct fold in one of the top five predictions. Moreover, the approach shows no performance reduction on a subset of sequence targets with less than 10% sequence identity to any protein used to build the library.     

Identification of novel multi-transmembrane proteins from genomic databases using quasi-periodic structural properties

MOTIVATION: Identification of novel G protein-coupled receptors and other multi-transmembrane proteins from genomic databases using structural features. RESULTS: Here we describe a new algorithm for identifying multi-transmembrane proteins from genomic databases with a specific application to identifying G protein-coupled receptors (GPCRs) that we call quasi-periodic feature classifier (QFC). The QFC algorithm uses concise statistical variables as the 'feature space' to characterize the quasi-periodic physico-chemical properties of multi-transmembrane proteins. For the case of identifying GPCRs, the variables are then used in a non-parametric linear discriminant function to separate GPCRs from non-GPCRs. The algorithm runs in time linearly proportional to the number of sequences, and performance on a test dataset shows 96% positive identification of known GPCRs. The QFC algorithm also works well with short random segments of proteins and it positively identified GPCRs at a level greater than 90% even with segments as short as 100 amino acids. The primary advantage of the algorithm is that it does not directly use primary sequence patterns which may be subject to sampling bias. The utility of the new algorithm has been demonstrated by the isolation from the Drosophila genome project database of a novel class of seven-transmembrane proteins which were shown to be the elusive olfactory receptor genes of Drosophila.     

A novel approach for the identification of protein-protein interaction with integral membrane proteins

Protein-protein interaction plays a major role in all biological processes. The currently available genetic methods such as the two-hybrid system and the protein recruitment system are relatively limited in their ability to identify interactions with integral membrane proteins. Here we describe the development of a reverse Ras recruitment system (reverse RRS), in which the bait used encodes a membrane protein. The bait is expressed in its natural environment, the membrane, whereas the protein partner (the prey) is fused to a cytoplasmic Ras mutant. Protein-protein interaction between the proteins encoded by the prey and the bait results in Ras membrane translocation and activation of a viability pathway in yeast. We devised the expression of the bait and prey proteins under the control of dual distinct inducible promoters, thus enabling a rapid selection of transformants in which growth is attributed solely to specific protein-protein interaction. The reverse RRS approach greatly extends the usefulness of the protein recruitment systems and the use of integral membrane proteins as baits. The system serves as an attractive approach to explore novel protein-protein interactions with high specificity and selectivity, where other methods fail.