Functional classification of class II human leukocyte antigen (HLA) molecules reveals seven different supertypes and a surprising degree of repertoire sharing across supertypes

Previous studies have attempted to define human leukocyte antigen (HLA) class II supertypes, analogous to the case for class I, on the basis of shared peptide-binding motifs or structure. In the present study, we determined the binding capacity of a large panel of non-redundant peptides for a set of 27 common HLA DR, DQ, and DP molecules. The measured binding data were then used to define class II supertypes on the basis of shared binding repertoires. Seven different supertypes (main DR, DR4, DRB3, main DQ, DQ7, main DP, and DP2) were defined. The molecules associated with the respective supertypes fell largely along lines defined by MHC locus and reflect, in broad terms, commonalities in reported peptide-binding motifs. Repertoire overlaps between molecules within the same class II supertype were found to be similar in magnitude to what has been observed for HLA class I supertypes. Surprisingly, however, the degree to which repertoires between molecules in the different class II supertypes also overlapped was found to be five to tenfold higher than repertoire overlaps noted between molecules in different class I supertypes. These results highlight a high degree of repertoire overlap amongst all HLA class II molecules, perhaps reflecting binding in multiple registers, and more pronounced dependence on backbone interactions rather than peptide anchor residues. This fundamental difference between HLA class I and class II would not have been predicted on the basis of analysis of either binding motifs or the sequence/predicted structures of the HLA molecules.     

Insights into HLA-restricted T cell responses in a novel mouse model of dengue virus infection point toward new implications for vaccine design

The frequency of dengue virus (DENV) infection has increased dramatically in the last few decades, and the lack of a vaccine has led to significant morbidity and mortality worldwide. To date, a convenient murine system to study human T cell responses to DENV has not been available. Mice transgenic for HLA are widely used to model human immune responses, and it has been shown that mouse-passaged DENV is able to replicate to significant levels in IFN-α/βR(-/-) mice. To cover a wide range of HLA phenotypes, we backcrossed IFN-α/βR(-/-) mice with HLA A*0201, A*0101, A*1101, B*0702, and DRB1*0101-transgenic mice. A DENV proteome-wide screen identified a total of 42 epitopes across all HLA-transgenic IFN-α/βR(-/-) strains tested. In contrast, only eight of these elicited responses in the corresponding IFN-α/βR(+/+) mice. We were able to identify T cell epitopes from 9 out of the 10 DENV proteins. However, the majority of responses were derived from the highly conserved nonstructural proteins NS3 and NS5. The relevance of this model is further demonstrated by the fact that most of the epitopes identified in our murine system are also recognized by PBMC from DENV-exposed human donors, and a dominance of HLA B*0702-restricted responses has been detected in both systems. Our results provide new insights into HLA-restricted T cell responses against DENV, and we describe in this study a novel murine model that allows the investigation of T cell-mediated immune mechanisms relevant to vaccine design.     

O-sulfonation of serine and threonine: mass spectrometric detection and characterization of a new posttranslational modification in diverse proteins throughout the eukaryotes

Protein sulfonation on serine and threonine residues is described for the first time. This post-translational modification is shown to occur in proteins isolated from organisms representing a broad span of eukaryote evolution, including the invertebrate mollusk Lymnaea stagnalis, the unicellular malaria parasite Plasmodium falciparum, and humans. Detection and structural characterization of this novel post-translational modification was carried out using liquid chromatography coupled to electrospray tandem mass spectrometry on proteins including a neuronal intermediate filament and a myosin light chain from the snail, a cathepsin-C-like enzyme from the parasite, and the cytoplasmic domain of the human orphan receptor tyrosine kinase Ror-2. These findings suggest that sulfonation of serine and threonine may be involved in multiple functions including protein assembly and signal transduction.     

The pathway of biosynthesis of nicotinamide–adenine dinucleotide in rat mammary gland

1. The pathway of NAD synthesis in mammary gland was examined by measuring the activities of some of the key enzymes in each of the tryptophan, nicotinic acid and nicotinamide pathways. 2. In the tryptophan pathway, 3-hydroxyanthranilate oxidase and quinolinate transphosphoribosylase activities were investigated. Neither of these enzymes was found in mammary gland. 3. In the nicotinic acid pathway, nicotinate mononucleotide pyrophosphorylase, NAD synthetase, nicotinamide deamidase and NMN deamidase were investigated. Both NAD synthetase and nicotinate mononucleotide pyrophosphorylase were present but were very inactive. Nicotinamide deamidase, if present, had a very low activity and NMN deamidase was absent. 4. In the nicotinamide pathway both enzymes, NMN pyrophosphorylase and NMN adenylyltransferase, were present and showed very high activity. The activity of the pyrophosphorylase in mammary gland is by far the highest yet found in any tissue. 5. The apparent K(m) values for the substrates of these enzymes in mammary gland were determined. 6. On the basis of these investigations it is proposed that the main, and probably only, pathway of synthesis of NAD in mammary tissue is from nicotinamide via NMN.     

Microalgae: a green source of renewable H(2)

This article summarizes recent advances in the field of algal hydrogen production. Two fundamental approaches are being developed. One involves the temporal separation of the usually incompatible reactions of O₂ and H₂ production in green algae, and the second involves the use of classical genetics to increase the O₂ tolerance of the reversible hydrogenase enzyme. The economic and environmental impact of a renewable source of H₂ are also discussed.     

TopNet: a tool for comparing biological sub-networks, correlating protein properties with topological statistics

Biological networks are a topic of great current interest, particularly with the publication of a number of large genome-wide interaction datasets. They are globally characterized by a variety of graph-theoretic statistics, such as the degree distribution, clustering coefficient, characteristic path length and diameter. Moreover, real protein networks are quite complex and can often be divided into many sub-networks through systematic selection of different nodes and edges. For instance, proteins can be sub-divided by expression level, length, amino-acid composition, solubility, secondary structure and function. A challenging research question is to compare the topologies of sub- networks, looking for global differences associated with different types of proteins. TopNet is an automated web tool designed to address this question, calculating and comparing topological characteristics for different sub-networks derived from any given protein network. It provides reasonable solutions to the calculation of network statistics for sub-networks embedded within a larger network and gives simplified views of a sub-network of interest, allowing one to navigate through it. After constructing TopNet, we applied it to the interaction networks and protein classes currently available for yeast. We were able to find a number of potential biological correlations. In particular, we found that soluble proteins had more interactions than membrane proteins. Moreover, amongst soluble proteins, those that were highly expressed, had many polar amino acids, and had many alpha helices, tended to have the most interaction partners. Interestingly, TopNet also turned up some systematic biases in the current yeast interaction network: on average, proteins with a known functional classification had many more interaction partners than those without. This phenomenon may reflect the incompleteness of the experimentally determined yeast interaction network.