TROSY and CRINEPT: NMR with large molecular and supramolecular structures in solution

TROSY and CRINEPT are new techniques for solution NMR studies of molecular and supramolecular structures. They allow the collection of high-resolution spectra of structures with molecular weights >100 kDa, significantly extending the range of macromolecular systems that can be studied by NMR in solution. TROSY has already been used to map protein-protein interfaces, to conduct structural studies on membrane proteins and to study nucleic acid conformations in multimolecular assemblies. These techniques will help us to investigate the conformational states of individual macromolecular components and will support de novo protein structure determination in large supramolecular structures.     

The hemolymph proteome of the honeybee: Gel‐based or gel‐free?

The honeybee has an invaluable economic impact and is a model for studying immunity, development and social behavior. The recent sequencing and annotation of the honeybee genome facilitates the study of its hemolymph, which reflects the physiological condition and mediates immune responses. We aimed at making a proteomic reference map of honeybee hemolymph and compared gel‐free and gel‐based techniques. One hundered and four 2‐DE spots corresponding to 62 different proteins were identified. Eight identical 2‐DLC experiments resulted in the identification of 32 unique proteins. One repeat was clearly not representative for the potential of the given 2‐DLC setup. Only 27% of the identified hemolymph proteins were found by both techniques. In addition, we found proteins of three different viruses which creates possibilities for biomarker design. Future hemolymph studies will benefit from this work.     

Evolution and similarity evaluation of protein structures in contact map space

Prediction of fold from amino acid sequence of a protein has been an active area of research in the past few years, but the limited accuracy of existing techniques emphasizes the need to develop newer approaches to tackle this task. In this study, we use contact map prediction as an intermediate step in fold prediction from sequence. Contact map is a reduced graph-theoretic representation of proteins that models the local and global inter-residue contacts in the structure. We start with a population of random contact maps for the protein sequence and "evolve" the population to a "high-feasibility" configuration using a genetic algorithm. A neural network is employed to assess the feasibility of contact maps based on their 4 physically relevant properties. We also introduce 5 parameters, based on algebraic graph theory and physical considerations, that can be used to judge the structural similarity between proteins through contact maps. To predict the fold of a given amino acid sequence, we predict a contact map that will sufficiently approximate the structure of the corresponding protein. Then we assess the similarity of this contact map with the representative contact map of each fold; the fold that corresponds to the closest match is our predicted fold for the input sequence. We have found that our feasibility measure is able to differentiate between feasible and infeasible contact maps. Further, this novel approach is able to predict the folds from sequences significantly better than a random predictor.     

Mapping proteins of the 50S subunit from Escherichia coli ribosomes

Mapping of protein positions in the ribosomal subunits was first achieved for the 30S subunit by means of neutron scattering about 15 years ago. Since the 50S subunit is almost twice as large as the 30S subunit and consists of more proteins, it was difficult to apply classical contrast variation techniques for the localisation of the proteins. Polarisation dependent neutron scattering (spin-contrast variation) helped to overcome this restriction. Here a map of 14 proteins within the 50S subunit from Escherichia coli ribosomes is presented including the proteins L17 and L20 that are not present in archeal ribosomes. The results are compared with the recent crystallographic map of the 50S subunit from the archea Haloarcula marismortui.     

The Cartographers toolbox: building bigger and better human protein interaction networks

One of the greatest challenges of the post-genomic era is theconstruction of a more comprehensive human protein interactionmap. While this process may take many years to complete, thedevelopment of stringent high throughput techniques and theemergence of complementary assays mean that the aim of buildinga detailed binary map of the human interactome is now a veryrealistic goal. In particular, methods which facilitate theanalysis of large numbers of membrane-protein interactions meanthat it will be possible to construct more extensive networks,which in turn provide new insights into the functional connectivitybetween intra- and extra-cellular processes. This is importantas many therapeutic strategies are designed to elicit effectsvia ‘tractable’ cell-surface proteins. Therefore,the construction of maps depicting the complexity of trans-cellularcommunication networks will not only improve our understandingof physiological processes, it will also aid the design of rationaltherapeutic strategies, with fewer potential side effects. Thisreview aims to provide a basic insight into the approaches currentlybeing used to construct binary human protein interaction networks,with particular reference to newer techniques, which have thepotential to extend network coverage and aid the conditionalannotation of interactome-scale protein interaction maps.      

Proteomics in Drosophila melanogaster: first 2D database of larval hemolymph proteins

A proteomic approach was used for the identification of larval hemolymph proteins of Drosophila melanogaster. We report the initial establishment of a two-dimensional gel electrophoresis reference map for hemolymph proteins of third instar larvae of D. melanogaster. We used immobilized pH gradients of pH 4-7 (linear) and a 12-14% linear gradient polyacrylamide gel. The protein spots were silver-stained and analyzed by nanoLC-Q-Tof MS/MS (on-line nanoscale liquid chromatography quadrupole time of flight tandem mass spectrometry) or by Matrix assisted laser desorption time of flight MS (MALDI-TOF MS). Querying the SWISSPROT database with the mass spectrometric data yielded the identity of the proteins in the spots. The presented proteome map lists those protein spots identified to date. This map will be updated continuously and will serve as a reference database for investigators, studying changes at the protein level in different physiological conditions.     

Comparative proteomic analysis using samples obtained with laser microdissection and saturation dye labelling

Comparative proteomic methods are rapidly being applied to many different biological systems including complex tissues. One pitfall of these methods is that in some cases, such as oncology and neuroscience, tissue complexity requires isolation of specific cell types and sample is limited. Laser microdissection (LMD) is commonly used for obtaining such samples for proteomic studies. We have combined LMD with sensitive thiol-reactive saturation dye labelling of protein samples and 2-D DIGE to identify protein changes in a test system, the isolated CA1 pyramidal neurone layer of a transgenic (Tg) rat carrying a human amyloid precursor protein transgene. Saturation dye labelling proved to be extremely sensitive with a spot map of over 5,000 proteins being readily produced from 5 mug total protein, with over 100 proteins being significantly altered at p < 0.0005. Of the proteins identified, all showed coherent changes associated with transgene expression. It was, however, difficult to identify significantly different proteins using PMF and MALDI-TOF on gels containing less than 500 mug total protein. The use of saturation dye labelling of limiting samples will therefore require the use of highly sensitive MS techniques to identify the significantly altered proteins isolated using methods such as LMD.     

Unravelling the proteome of wool: towards markers of wool quality traits

With ongoing efforts to make wool more competitive alongside other fibres, notably synthetics, there is a need to obtain a better understanding of the relationship between protein composition and characteristic wool properties to assist sheep breeding programmes. Before this can be achieved, the wool proteome needs to be mapped, by gel and non-gel techniques, and methods developed to reliably quantitate protein expression. Nevertheless, in setting out to achieve this, there are numerous challenges to be faced in the application of proteomics to wool, including the relative lack of wool protein sequence information in the publically accessible databases, the wide variety of proteins in the wool fibre, the high homology within the Type I and Type II keratins, the high degree of homology and polymorphism within individual keratin associated protein families, the dominance of the keratin proteins over others in wool and the peculiar chemistries found in keratins and their associated proteins. This review will discuss the various strategies that have been developed to both identify these proteins in the wool protein map and quantify them with the view to their application to the identification of markers for wool quality traits.     

Two-dimensional gel proteome reference map of INS-1E cells

The insulin-producing INS-1E rat cell line is widely used as a model for studying β-cells. It is a well-characterized cell line, mainly used in diabetes research. We established a 2-DE reference map for INS-1E cells. Using MALDI-TOF/TOF-MS/MS, we identified 546 spots. These included various proteins with an important role in β-cell physiology and with known roles as crucial proteins for diabetes development. We believe that the availability of this reference map will enhance our knowledge of β-cell physiology.