Autoreactive B cells discriminate CpG-rich and CpG-poor DNA and this response is modulated by IFN-alpha

Autoreactive B cells are activated by DNA, chromatin, or chromatin-containing immune complexes (ICs) through a mechanism dependent on dual engagement of the BCR and TLR9. We examined the contribution of endogenous DNA sequence elements to this process. DNA sequence can determine both recognition by the BCR and by TLR9. DNA fragments containing CpG islands, a natural source of unmethylated CpG dinucleotides, promote the activation of DNA-reactive B cells derived from BCR transgenic mice as well as DNA-reactive B cells present in the normal repertoire. ICs containing these CpG island fragments are potent ligands for AM14 IgG2a-reactive B cells. In contrast, ICs containing total mammalian DNA, or DNA fragments lacking immunostimulatory motifs, fail to induce B cell proliferation, indicating that BCR crosslinking alone is insufficient to activate low-affinity autoreactive B cells. Importantly, priming B cells with IFN-alpha lowers the BCR activation threshold and relaxes the selectivity for CpG-containing DNA. Taken together, our findings underscore the importance of endogenous CpG-containing DNAs in the TLR9-dependent activation of autoreactive B cells and further identify an important mechanism through which IFN-alpha can contribute to the pathogenesis of systemic lupus erythematosus.     

Kinesin KIF4 regulates intracellular trafficking and stability of the human immunodeficiency virus type 1 Gag polyprotein

Retroviral Gag proteins are synthesized as soluble, myristoylated precursors that traffic to the plasma membrane and promote viral particle production. The intracellular transport of human immunodeficiency virus type 1 (HIV-1) Gag to the plasma membrane remains poorly understood, and cellular motor proteins responsible for Gag movement are not known. Here we show that disrupting the function of KIF4, a kinesin family member, slowed temporal progression of Gag through its trafficking intermediates and inhibited virus-like particle production. Knockdown of KIF4 also led to increased Gag degradation, resulting in reduced intracellular Gag protein levels; this phenotype was rescued by reintroduction of KIF4. When KIF4 function was blocked, Gag transiently accumulated in discrete, perinuclear, nonendocytic clusters that colocalized with endogenous KIF4, with Ubc9, an E2 SUMO-1 conjugating enzyme, and with SUMO. These studies identify a novel transit station through which Gag traffics en route to particle assembly and highlight the importance of KIF4 in regulating HIV-1 Gag trafficking and stability.     

Multivariate classification analysis of metabolomic data for candidate biomarker discovery in type 2 diabetes mellitus

Recent advances in genomics, metabolomics and proteomics have made it possible to interrogate disease pathophysiology and drug response on a systems level. The analysis and interpretation of the complex data obtained using these techniques is potentially fertile but equally challenging. We conducted a small clinical trial to explore the application of metabolomics data in candidate biomarker discovery. Specifically, serum and urine samples from patients with type 2 diabetes mellitus (T2DM) were profiled on metabolomics platforms before and after 8 weeks of treatment with one of three commonly used oral antidiabetic agents, the sulfonyurea glyburide, the biguanide metformin, or the thiazolidinedione rosiglitazone. Multivariate classification techniques were used to detect serum or urine analytes, obtained at baseline (pre-treatment) that could predict a significant treatment response after 8 weeks. Using this approach, we identified three analytes, measured at baseline, that were associated with response to a thiazolidinedione after 8 weeks of treatment. Although larger and longer-term studies are required to validate any of the candidate biomarkers, pharmacometabolomic profiling, in combination with multivariate classification, is worthy of further exploration as an adjunct to clinical decision making regarding treatment selection and for patient stratification within clinical trials. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Mating density and the strength of sexual selection against deleterious alleles in Drosophila melanogaster

Deleterious alleles constantly enter populations via mutation. Their presence reduces mean fitness and may threaten population persistence. It has been suggested that sexual selection may be an efficient way by which deleterious alleles are removed from populations but there is little direct experimental evidence. Because of its potential role in mutational meltdowns, there is particular interest in whether the strength of sexual selection changes with density. For each of eight visible markers in Drosophila melanogaster we have compared the strength of sexual selection at two densities. We find evidence of strong sexual selection against most but not all of these alleles. There is no evidence that sexual selection tends to be stronger (or weaker) at high density relative to low density. In addition, we also measure the effects of these mutations on two key parameters relevant to population productivity--juvenile viability and female fecundity. In most cases, sexual selection is as strong or stronger than these other forms of selection.     

Microbial herbivory on the brown tide alga, Aureococcus anophagefferens: results from natural ecosystems, mesocosms and laboratory experiments

Experiments were conducted with natural plankton assemblages from two areas in Great South Bay (GSB) and the Peconic Bays Estuary System, NY, to compare the rates of growth and pelagic grazing mortality of Aureococcus anophagefferens with co-occurring phytoplankton. We hypothesized that A. anophagefferens would experience low mortality rates by microbial herbivores (relative to feeding pressure on other algae) thus providing it with a competitive advantage within the phytoplankton community. In fact, substantial rates of mortality were observed in nearly every experiment in our study. However, mortality rates of A. anophagefferens were less than intrinsic growth rates of the alga during late spring and early summer in Great South Bay, resulting in positive net growth rates for the alga during that period. This timing coincided with the development of a brown tide in this estuary. Similarly, growth rates of the alga also exceeded mortality rates during bloom development in natural plankton assemblages from the Peconic Bays Estuary System held in mesocosms. In contrast to the situation for A. anophagefferens, growth rates of the total phytoplankton assemblage, and another common picoplanktonic phytoplankter (Synechococcus spp.), were frequently less than their respective mortality rates. Mortality rates of A. anophagefferens in both systems were similar to growth rates of the alga during later stages of the bloom. Laboratory studies confirmed that species of phagotrophic protists that consume A. anophagefferens (at least in culture) are present during brown tides but preference for or against the alga appears to be species-specific among phagotrophic protists. We conclude that two scenarios may explain our results: (1) protistan species capable of consuming the brown tide alga were present at low abundances during bloom initiation and thus not able to respond rapidly to increases in the intrinsic growth rate of the alga, or (2) the brown tide alga produced substance(s) that inhibited or retarded protistan grazing activities during the period of bloom initiation. The latter scenario seems less likely given that significant mortality of A. anophagefferens was measured during our field study and mesocosm experiment. However, even a minor reduction in mortality rate due to feeding selectivity among herbivores might result in a mismatch between growth and grazing of A. anophagefferens that could give rise to significant net population growth of this HAB species. Either scenario infers an important role for trophic interactions within the plankton as a factor explaining the development of brown tides in natural ecosystems.     

The neuronal voltage-dependent sodium channel type II IQ motif lowers the calcium affinity of the C-domain of calmodulin

Calmodulin (CaM) is the primary calcium sensor in eukaryotes. Calcium binds cooperatively to pairs of EF-hand motifs in each domain (N and C). This allows CaM to regulate cellular processes via calcium-dependent interactions with a variety of proteins, including ion channels. One neuronal target is NaV1.2, voltage-dependent sodium channel type II, to which CaM binds via an IQ motif within the NaV1.2 C-terminal tail (residues 1901-1938) [Mori, M., et al. (2000) Biochemistry 39, 1316-1323]. Here we report on the use of circular dichroism, fluorescein emission, and fluorescence anisotropy to study the interaction between CaM and NaV1.2 at varying calcium concentrations. At 1 mM MgCl2, both full-length CaM (CaM1-148) and a C-domain fragment (CaM76-148) exhibit tight (nanomolar) calcium-independent binding to the NaV1.2 IQ motif, whereas an N-domain fragment of CaM (CaM1-80) binds weakly, regardless of calcium concentration. Equilibrium calcium titrations of CaM at several concentrations of the NaV1.2 IQ peptide showed that the peptide reduced the calcium affinity of the CaM C-domain sites (III and IV) without affecting the N-domain sites (I and II) significantly. This leads us to propose that the CaM C-domain mediates constitutive binding to the NaV1.2 peptide, but that interaction then distorts calcium-binding sites III and IV, thereby reducing their affinity for calcium. This contrasts with the CaM-binding domains of voltage-dependent Ca2+ channels, kinases, and phosphatases, which increase the calcium binding affinity of the C-domain of CaM.