X chromosomes alternate between two states prior to random X-inactivation

Early in the development of female mammals, one of the two X chromosomes is silenced in half of cells and the other X chromosome is silenced in the remaining half. The basis of this apparent randomness is not understood. We show that before X-inactivation, the two X chromosomes appear to exist in distinct states that correspond to their fates as the active and inactive X chromosomes. Xist and Tsix, noncoding RNAs that control X chromosome fates upon X-inactivation, also determine the states of the X chromosomes prior to X-inactivation. In wild-type ES cells, X chromosomes switch between states; among the progeny of a single cell, a given X chromosome exhibits each state with equal frequency. We propose a model in which the concerted switching of homologous X chromosomes between mutually exclusive future active and future inactive states provides the basis for the apparently random silencing of one X chromosome in female cells.     

SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs

Single nucleotide polymorphisms (SNPs) constitute the most fundamental type of genetic variation in human populations. About 75 000 of these reported variations cause an amino acid change in the translated protein. An important goal in genomic research is to understand how this variability affects protein function, and whether or not particular SNPs are associated to disease susceptibility. Accordingly, the SNPeffect database uses sequence- and structure-based bioinformatics tools to predict the effect of non-synonymous SNPs on the molecular phenotype of proteins. SNPeffect analyses the effect of SNPs on three categories of functional properties: (1) structural and thermodynamic properties affecting protein dynamics and stability (2) the integrity of functional and binding sites and (3) changes in posttranslational processing and cellular localization of proteins. The search interface of the database can be used to search specifically for polymorphisms that are predicted to cause a change in one of these properties. Now based on the Ensembl human databases, the SNPeffect database has been remodeled to better fit an automatically updatable structure. The current edition holds the molecular phenotype of 74 567 nsSNPs in 23 426 proteins. AVAILABILITY: SNPeffect can be accessed through http://snpeffect.vib.be.     

Melioidosis: insights into the pathogenicity of Burkholderia pseudomallei

Burkholderia pseudomallei is a potential bioterror agent and the causative agent of melioidosis, a severe disease that is endemic in areas of Southeast Asia and Northern Australia. Infection is often associated with bacterial dissemination to distant sites, and there are many possible disease manifestations, with melioidosis septic shock being the most severe. Eradication of the organism following infection is difficult, with a slow fever-clearance time, the need for prolonged antibiotic therapy and a high rate of relapse if therapy is not completed. Mortality from melioidosis septic shock remains high despite appropriate antimicrobial therapy. Prevention of disease and a reduction in mortality and the rate of relapse are priority areas for future research efforts. Studying how the disease is acquired and the host-pathogen interactions involved will underpin these efforts; this review presents an overview of current knowledge in these areas, highlighting key topics for evaluation.     

Protein aggregation and amyloidosis: confusion of the kinds?

Recent years have witnessed major advances in our understanding of the structural basis of protein aggregation on several fronts. Firstly, high-resolution structural information that remained elusive for many years was provided by a series of studies of amyloid fibers using NMR, X-ray crystallography and electron microscopy, thereby confirming earlier models based on lower resolution observations. Secondly, studies of the sequence determinants of protein aggregation culminated in the development of computer algorithms that predict aggregation-prone sequences with good accuracy, allowing the design of mutations that reduce aggregation. Thirdly, based on the first results from such predictions and on statistical analysis of naturally occurring aggregating sequences, a picture is emerging in which aggregation-prone sequences are capped by gatekeeper residues that oppose aggregation. In addition to their aggregation-opposing function, it seems that gatekeeper residues are also important in determining chaperone selectivity for strongly aggregating regions. Finally, recent computational and experimental work shows that preventing aggregation does not necessarily mean that amyloid formation is prevented and vice versa. Thus, although aggregation and amyloidosis correlate to a certain extent, they are different processes and should be treated as such.     

Characterization of 37 breed-specific single-nucleotide polymorphisms in sheep

We identified 37 single-nucleotide polymorphisms (SNPs) in sheep and screened 16 individuals from 8 different sheep breeds selected throughout Europe. Population genetic measures based on the genotyping of about 30 sheep from the same 8 breeds are reported. To date, there are no sheep SNPs documented in the National Center for Biotechnology Information dbSNP database. Therefore, the markers presented here contribute significantly to those currently available.     

Cutting edge: HLA-B27 acquires many N-terminal dibasic peptides: coupling cytosolic peptide stability to antigen presentation

Ag presentation by MHC class I is a highly inefficient process because cytosolic peptidases destroy most peptides after proteasomal generation. Various mechanisms shape the MHC class I peptidome. We define a new one: intracellular peptide stability. Peptides with two N-terminal basic amino acids are more stable than other peptides. Such peptides should be overrepresented in the peptidome of MHC class I-associated peptides. HLA-B27 binding peptides use anchor residue R at P2 and, although most amino acids are allowed, particular amino acids are overrepresented at P1, including R and K. We show that such N-terminal dibasic peptides are indeed more efficiently presented by HLA-B27. This suggests that HLA-B27 can present peptides from Ags present in fewer copies than required for successful peptide generation for other MHC class I molecules.     

How evolutionary pressure against protein aggregation shaped chaperone specificity

As protein aggregation is potentially lethal, control of protein conformation by molecular chaperones is essential for cellular organisms. This is especially important during protein expression and translocation, since proteins are then unfolded and therefore most susceptible to form non-native interactions. Using TANGO, a statistical mechanics algorithm to predict protein aggregation, we here analyse the aggregation propensities of 28 complete proteomes. Our results show that between 10% and 20% of the residues in these proteomes are within aggregating protein segments and that this represents a lower limit for the aggregation tendency of globular proteins. Further, we show that not only evolution strongly pressurizes aggregation downwards by minimizing the amount of strongly aggregating sequences but also by selectively capping strongly aggregating hydrophobic protein sequences with arginine, lysine and proline. These residues are strongly favoured at these positions as they function as gatekeepers that are most efficient at opposing aggregation. Finally, we demonstrate that the substrate specificity of different unrelated chaperone families is geared by these gatekeepers. Chaperones face the difficulty of having to combine substrate affinity for a broad range of hydrophobic sequences and selectivity for those hydrophobic sequences that aggregate most strongly. We show that chaperones achieve these requirements by preferentially binding hydrophobic sequences that are capped by positively charged gatekeeper residues. In other words, targeting evolutionarily selected gatekeepers allows chaperones to prioritize substrate recognition according to aggregation propensity.     

The PSI semantic validator: A framework to check MIAPE compliance of proteomics data

The Human Proteome Organization's Proteomics Standards Initiative (PSI) promotes the development of exchange standards to improve data integration and interoperability. PSI specifies the suitable level of detail required when reporting a proteomics experiment (via the Minimum Information About a Proteomics Experiment), and provides extensible markup language (XML) exchange formats and dedicated controlled vocabularies (CVs) that must be combined to generate a standard compliant document. The framework presented here tackles the issue of checking that experimental data reported using a specific format, CVs and public bio‐ontologies (e.g. Gene Ontology, NCBI taxonomy) are compliant with the Minimum Information About a Proteomics Experiment recommendations. The semantic validator not only checks the XML syntax but it also enforces rules regarding the use of an ontology class or CV terms by checking that the terms exist in the resource and that they are used in the correct location of a document. Moreover, this framework is extremely fast, even on sizable data files, and flexible, as it can be adapted to any standard by customizing the parameters it requires: an XML Schema Definition, one or more CVs or ontologies, and a mapping file describing in a formal way how the semantic resources and the format are interrelated. As such, the validator provides a general solution to the common problem in data exchange: how to validate the correct usage of a data standard beyond simple XML Schema Definition validation. The framework source code and its various applications can be found at http://psidev.info/validator .     

Getting a grip on proteomics data – Proteomics Data Collection (ProDaC)

In proteomics, rapid developments in instrumentation led to the acquisition of increasingly large data sets. Correspondingly, ProDaC was founded in 2006 as a Coordination Action project within the 6th European Union Framework Programme to support data sharing and community‐wide data collection. The objectives of ProDaC were the development of documentation and storage standards, setup of a standardized data submission pipeline and collection of data. Ending in March 2009, ProDaC has delivered a comprehensive toolbox of standards and computer programs to achieve these goals.