Integrin structure

The integrins are a family of alpha,beta heterodimeric receptors that mediate dynamic linkages between extracellular adhesion molecules and the intracellular actin cytoskeleton. Integrins are expressed by all multicellular animals, but their diversity varies widely among species; for example, in mammals, 19 alpha and 8 beta subunit genes encode polypeptides that combine to form 25 different receptors, whereas the Drosophila and Caenorhabditis genomes encode only five and two integrin alpha subunits respectively. Thousands of studies over the last two decades have investigated the molecular, cellular and organismal basis of integrin function. Gene deletion has demonstrated essential roles for almost all integrins, with the defects suggesting widespread contributions to both the maintenance of tissue integrity and the promotion of cellular migration. Integrin-ligand interactions are now considered to provide physical support for cells in order to maintain cohesion, to permit the generation of traction forces to enable movement, and to organize signalling complexes to modulate differentiation and cell fate. Animal-model studies have also shown that integrins contribute to the progression of many common diseases, and have implicated them as potential therapeutic targets. The use of anti-integrin monoclonal antibodies and ligand-mimetic peptides has validated this suggestion for inflammatory, neoplastic, traumatic and infectious conditions. Thus, to understand more about the mechanisms underlying tissue organization and cellular trafficking, and to identify approaches for regulating these processes in disease, there is intense interest in determining the molecular basis of integrin function. It is important to state at the outset that the tertiary structure of the integrin dimer is unknown. Our current understanding of the molecular basis of integrin function is therefore compiled from the results of a large number of studies that have employed a wide range of complementary technologies.     

Molecular basis of ligand recognition by integrin alpha5beta 1. II. Specificity of arg-gly-Asp binding is determined by Trp157 OF THE alpha subunit

Different beta(1) integrins bind Arg-Gly-Asp (RGD) peptides with differing specificities, suggesting a role for residues in the alpha subunit in determining ligand specificity. Integrin alpha(5)beta(1) has been shown to bind with high affinity to peptides containing an Arg-Gly-Asp-Gly-Trp (RGDGW) sequence but with relatively low affinity to other RGD peptides. The residues within the ligand-binding pocket that determine this specificity are currently unknown. A cyclic peptide containing the RGDGW sequence was found to strongly perturb the binding of the anti-alpha(5) monoclonal antibody (mAb) 16 to alpha(5)beta(1). In contrast, RGD peptides lacking the tryptophan residue acted as weak inhibitors of mAb 16 binding. The epitope of mAb 16 has previously been localized to a region of the alpha(5) subunit that contains Ser(156)-Trp(157). Mutation of Trp(157) (but not of Ser(156) or surrounding residues) to alanine blocked recognition of mAb 16 and perturbed the high affinity binding of RGDGW-containing peptides to alpha(5)beta(1). The same mutation also abrogated recognition of the alpha(5)beta(1)-specific ligand peptide Arg-Arg-Glu-Thr-Ala-Trp-Ala (RRETAWA). Based on these findings, we propose that Trp(157) of alpha(5) participates in a hydrophobic interaction with the tryptophan residue in RGDGW, and that this interaction determines the specificity of alpha(5)beta(1) for RGDGW-containing peptides. Since the RGD sequence is recognized predominantly by amino acid residues on the beta(1) subunit, our results suggest that Trp(157) of alpha(5) must lie very close to these residues. Our findings therefore provide new insights into the structure of the ligand-binding pocket of alpha(5)beta(1).     

Candidate-gene studies of the atherogenic lipoprotein phenotype: a sib-pair linkage analysis of DZ women twins.

There is a growing body of evidence supporting the roles of small, dense LDL and plasma triglyceride (TG), both features of the atherogenic lipoprotein phenotype, as risk factors for coronary heart disease. Although family studies and twin studies have demonstrated genetic influences on these risk factors, the specific genes involved remain to be determined definitively. The purpose of this study was to investigate genetic linkage between LDL size, TG, and related atherogenic lipoproteins and candidate genes known to be involved in lipid metabolism. The linkage analysis was based on a sample of 126 DZ women twin pairs, which avoids the potentially confounding effects of both age and gender, by use of a quantitative sib-pair linkage-analysis approach. Eight candidate genes were examined, including those for microsomal TG-transfer protein (MTP), hepatic lipase, hormone-sensitive lipase, apolipoprotein (apo) B, apo CIII, apo E, insulin receptor, and LDL receptor. The analysis suggested genetic linkage between markers for the apo B gene and LDL size, plasma levels of TG, of HDL cholesterol, and of apo B, all features of the atherogenic lipoprotein phenotype. Furthermore, evidence for linkage was maintained when the analysis was limited to women with a major LDL-subclass diameter >255 A, indicating that the apo B gene may influence LDL heterogeneity in the intermediate-to-large size range. In addition, linkage was found between the MTP gene and TG, among all the women. These findings add to the growing evidence for genetic influences on the atherogenic lipoprotein phenotype and its role in genetic susceptibility to atherosclerosis.     

Targeted disruption of SHIP leads to Steel factor-induced degranulation of mast cells.

To investigate the role of the src homology 2 (SH2)-containing inositol 5' phosphatase (SHIP) in growth factor-mediated signalling, we compared Steel factor (SF)-induced events in bone marrow-derived mast cells (BMMCs) from SHIP-/- and SHIP+/+ littermates. We found SF alone stimulated massive degranulation from SHIP-/- but none from SHIP+/+ BMMCs. This SF-induced degranulation, which was not due to higher c-kit levels in SHIP-/- cells, correlated with higher intracellular calcium than that in SHIP+/+ cells and was dependent on the influx of extracellular calcium. Both this influx and subsequent degranulation were completely inhibited by PI-3-kinase inhibitors, indicating that SF-induced activation of PI-3-kinase was upstream of extracellular calcium entry. A comparison of phosphatidylinositol-3,4,5-trisphosphate (PIP3) levels following SF stimulation of SHIP+/+ and SHIP-/- BMMCs suggested that SHIP restricted this entry by hydrolyzing PIP3. Although PI-3-kinase inhibitors blocked the release of intracellular calcium, implicating PIP3, and PLCgamma-2 was slightly more tyrosine phosphorylated in SHIP-/- cells, the increase in inositol-1,4,5-trisphosphate (IP3) and intracellular calcium levels were identical in SHIP-/- and SHIP+/+ BMMCs. These results suggest that SHIP prevents SF from triggering degranulation of normal BMMCs, and does so by hydrolyzing PIP3, which in turn limits extracellular calcium entry at a step after the release of intracellular calcium.     

Working through polytomies: Auklets revisited

Polytomies, or phylogenetic “bushes”, are the result of a series of internodes occurring in a short period of evolutionary time (which can result in data that do not contain enough information), or data that have too much homoplasy to resolve a bifurcating branching pattern. In this study we used the Aethia auklet polytomy to explore the effectiveness of different methods for resolving polytomies: mitochondrial DNA gene choice, number of individuals per species sampled, model of molecular evolution, and AFLP loci. We recovered a fully-resolved phylogeny using NADH dehydrogenase subunit 2 (ND2) sequence data under two different Bayesian models. We were able to corroborate this tree under one model with an expanded mtDNA dataset. Effectiveness of additional intraspecific sampling varied with node, and fully 20% of the subsampled datasets failed to return a congruent phylogeny when we sampled only one or two individuals per species. We did not recover a resolved phylogeny using AFLP data. Conflict in the AFLP dataset showed that nearly all possible relationships were supported at low levels of confidence, suggesting that either AFLPs are not useful at the genetic depth of the Aethia auklet radiation (7–9% divergent in the mtDNA ND2 gene), perhaps resulting in too much homoplasy, or that the Aethia auklets have experienced incomplete lineage sorting at many nuclear loci.     

Clinical Utility of a Coronary Heart Disease Risk Prediction Gene Score in UK Healthy Middle Aged Men and in the Pakistani Population

BackgroundNumerous risk prediction algorithms based on conventional risk factors for Coronary Heart Disease (CHD) are available but provide only modest discrimination. The inclusion of genetic information may improve clinical utility.MethodsWe tested the use of two gene scores (GS) in the prospective second Northwick Park Heart Study (NPHSII) of 2775 healthy UK men (284 cases), and Pakistani case-control studies from Islamabad/Rawalpindi (321 cases/228 controls) and Lahore (414 cases/219 controls). The 19-SNP GS included SNPs in loci identified by GWAS and candidate gene studies, while the 13-SNP GS only included SNPs in loci identified by the CARDIoGRAMplusC4D consortium.ResultsIn NPHSII, the mean of both gene scores was higher in those who went on to develop CHD over 13.5 years of follow-up (19-SNP p=0.01, 13-SNP p=7x10^-3). In combination with the Framingham algorithm the GSs appeared to show improvement in discrimination (increase in area under the ROC curve, 19-SNP p=0.48, 13-SNP p=0.82) and risk classification (net reclassification improvement (NRI), 19-SNP p=0.28, 13-SNP p=0.42) compared to the Framingham algorithm alone, but these were not statistically significant. When considering only individuals who moved up a risk category with inclusion of the GS, the improvement in risk classification was statistically significant (19-SNP p=0.01, 13-SNP p=0.04). In the Pakistani samples, risk allele frequencies were significantly lower compared to NPHSII for 13/19 SNPs. In the Islamabad study, the mean gene score was higher in cases than controls only for the 13-SNP GS (2.24 v 2.34, p=0.04). There was no association with CHD and either score in the Lahore study.ConclusionThe performance of both GSs showed potential clinical utility in European men but much less utility in subjects from Pakistan, suggesting that a different set of risk loci or SNPs may be required for risk prediction in the South Asian population.