Molecular determinants of chaperone interactions on MHC-I for folding and antigen repertoire selection.

The interplay between a highly polymorphic set of MHC-I alleles and molecular chaperones shapes the repertoire of peptide antigens displayed on the cell surface for T cell surveillance. Here, we demonstrate that the molecular chaperone TAP-binding protein related (TAPBPR) associates with a broad range of partially folded MHC-I species inside the cell. Bimolecular fluorescence complementation and deep mutational scanning reveal that TAPBPR recognition is polarized toward the α2 domain of the peptide-binding groove, and depends on the formation of a conserved MHC-I disulfide epitope in the α2 domain. Conversely, thermodynamic measurements of TAPBPR binding for a representative set of properly conformed, peptide-loaded molecules suggest a narrower MHC-I specificity range. Using solution NMR, we find that the extent of dynamics at "hotspot" surfaces confers TAPBPR recognition of a sparsely populated MHC-I state attained through a global conformational change. Consistently, restriction of MHC-I groove plasticity through the introduction of a disulfide bond between the α1/α2 helices abrogates TAPBPR binding, both in solution and on a cellular membrane, while intracellular binding is tolerant of many destabilizing MHC-I substitutions. Our data support parallel TAPBPR functions of 1) chaperoning unstable MHC-I molecules with broad allele-specificity at early stages of their folding process, and 2) editing the peptide cargo of properly conformed MHC-I molecules en route to the surface, which demonstrates a narrower specificity. Our results suggest that TAPBPR exploits localized structural adaptations, both near and distant to the peptide-binding groove, to selectively recognize discrete conformational states sampled by MHC-I alleles, toward editing the repertoire of displayed antigens

ArrayInitiative - a tool that simplifies creating custom Affymetrix CDFs

<p>Abstract</p> <p>Background</p> <p>Probes on a microarray represent a frozen view of a genome and are quickly outdated when new sequencing studies extend our knowledge, resulting in significant measurement error when analyzing any microarray experiment. There are several bioinformatics approaches to improve probe assignments, but without in-house programming expertise, standardizing these custom array specifications as a usable file (e.g. as Affymetrix CDFs) is difficult, owing mostly to the complexity of the specification file format. However, without correctly standardized files there is a significant barrier for testing competing analysis approaches since this file is one of the required inputs for many commonly used algorithms. The need to test combinations of probe assignments and analysis algorithms led us to develop ArrayInitiative, a tool for creating and managing custom array specifications.</p> <p>Results</p> <p>ArrayInitiative is a standalone, cross-platform, rich client desktop application for creating correctly formatted, custom versions of manufacturer-provided (default) array specifications, requiring only minimal knowledge of the array specification rules and file formats. Users can import default array specifications, import probe sequences for a default array specification, design and import a custom array specification, export any array specification to multiple output formats, export the probe sequences for any array specification and browse high-level information about the microarray, such as version and number of probes. The initial release of ArrayInitiative supports the Affymetrix 3' IVT expression arrays we currently analyze, but as an open source application, we hope that others will contribute modules for other platforms.</p> <p>Conclusions</p> <p>ArrayInitiative allows researchers to create new array specifications, in a standard format, based upon their own requirements. This makes it easier to test competing design and analysis strategies that depend on probe definitions. Since the custom array specifications are easily exported to the manufacturer's standard format, researchers can analyze these customized microarray experiments using established software tools, such as those available in Bioconductor.</p

The association of a single-nucleotide polymorphism in the nuclear factor (erythroid derived 2)-like 2 gene with adverse drug reactions, multimorbidity and frailty in older people

Susceptibility to adverse drug reactions (ADRs), multimorbidity, and frailty are associated with human ageing, yet there is wide variation in the severity and age at which individuals are afflicted. Identifying genetic markers of increased risk of this phenotype would help stratify individuals to specialist interventions. Nuclear factor erythroid derived-2 like 2 (Nrf2) regulates a cell’s response to stressors, including the expression of enzymes involved in drug-metabolism. Its expression has been shown to decline in animal ageing models. In this study we tested the hypothesis that Nrf2 gene transcription/translation decline in human ageing, and that single nucleotide polymorphisms (SNPs) in the Nrf2 gene are associated with increased ADR risk, multi-morbidity, and frailty in older people. Gene expression and protein levels were measured in peripheral blood mononuclear cells (PBMCs) donated from healthy patients aged 18-80 years old. Nrf2 genotypes were determined at three loci in a sub-population of patients recruited to the PRIME study (a multicentre prospective cohort study that followed older adults for 8-weeks post-discharge to determine ADR). Both Nrf2 gene and protein expression declined significantly with age in human PBMCs. In the PRIME sub-study population, the rs35652124 Nrf2 SNP was associated with increased ADR risk, and decreased frailty and multi-morbidity scores