Multiparametric detection of autoantibodies in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a heterogeneous disease with respect to disease manifestations, disease progression and treatment response. Therefore, strategies to identify biomarkers that help distinguishing SLE subgroups are a major focus of biomarker research. We reasoned that a multiparametric autoantibody profiling approach combined with data mining tools could be applied to identify SLE patient clusters. We used a bead-based array containing 86 antigens including diverse nuclear and immune defense pathway proteins. Sixty-four autoantibodies were significantly (p < 0.05) increased in SLE (n = 69) compared to healthy controls (HC, n = 59). Using binary cut-off thresholds (95% quantile of HC), hierarchical clustering of SLE patients yields five clusters, which differ qualitatively and in their total number of autoantibodies. In two patient clusters the overall accumulated autoantibody reactivity of all antigens tested was 31% and 48%, respectively. We observed a positive association between the autoantibody signature present in these two patient clusters and the clinical manifestation of glomerulonephritis (GLMN). In addition, groups of autoantibodies directed against distinct intracellular compartments and/or biological motifs characterize the different SLE subgroups. Our findings highlight the relevant potential of multiparametric autoantibody detection and may contribute to a deeper understanding of the clinical and serological diversity of SLE.

Huntingtin interacts with the receptor sorting family protein GASP2.

Protein interaction networks are useful resources for the functional annotation of proteins. Recently, we have generated a highly connected protein-protein interaction network for Huntington's disease (HD) by automated yeast two-hybrid (Y2H) screening (Goehler et al., 2004). The network included several novel direct interaction partners for the disease protein huntingtin (htt). Some of these interactions, however, have not been validated by independent methods. Here we describe the verification of the interaction between htt and GASP2 (G protein-coupled receptor associated sorting protein 2), a protein involved in membrane receptor degradation. Using membrane-based and classical coimmunoprecipitation assays we demonstrate that htt and GASP2 form a complex in cotransfected mammalian cells. Moreover, we show that the two proteins colocalize in SH-SY5Y cells, raising the possibility that htt and GASP2 interact in neurons. As the GASP protein family plays a role in G protein-coupled receptor sorting, our data suggest that htt might influence receptor trafficking via the interaction with GASP2.

The huntingtin interacting protein HIP1 is a clathrin and alpha-adaptin-binding protein involved in receptor-mediated endocytosis.

The huntingtin interacting protein (HIP1) is enriched in membrane-containing cell fractions and has been implicated in vesicle trafficking. It is a multidomain protein containing an N-terminal ENTH domain, a central coiled-coil forming region and a C-terminal actin-binding domain. In the present study we have identified three HIP1 associated proteins, clathrin heavy chain and alpha-adaptin A and C. In vitro binding studies revealed that the central coiled-coil domain is required for the interaction of HIP1 with clathrin, whereas DPF-like motifs located upstream to this domain are important for the binding of HIP1 to the C-terminal 'appendage' domain of alpha-adaptin A and C. Expression of full length HIP1 in mammalian cells resulted in a punctate cytoplasmic immunostaining characteristic of clathrin-coated vesicles. In contrast, when a truncated HIP1 protein containing both the DPF-like motifs and the coiled-coil domain was overexpressed, large perinuclear vesicle-like structures containing HIP1, huntingtin, clathrin and endocytosed transferrin were observed, indicating that HIP1 is an endocytic protein, the structural integrity of which is crucial for maintenance of normal vesicle size in vivo.