Shiga toxin induces tubular membrane invaginations for its uptake into cells

Clathrin seems to be dispensable for some endocytic processes and, in several instances, no cytosolic coat protein complexes could be detected at sites of membrane invagination. Hence, new principles must in these cases be invoked to account for the mechanical force driving membrane shape changes. Here we show that the Gb3 (glycolipid)-binding B-subunit of bacterial Shiga toxin induces narrow tubular membrane invaginations in human and mouse cells and model membranes. In cells, tubule occurrence increases on energy depletion and inhibition of dynamin or actin functions. Our data thus demonstrate that active cellular processes are needed for tubule scission rather than tubule formation. We conclude that the B-subunit induces lipid reorganization that favours negative membrane curvature, which drives the formation of inward membrane tubules. Our findings support a model in which the lateral growth of B-subunit-Gb3 microdomains is limited by the invagination process, which itself is regulated by membrane tension. The physical principles underlying this basic cargo-induced membrane uptake may also be relevant to other internalization processes, creating a rationale for conceptualizing the perplexing diversity of endocytic routes.     

In silico method for inferring genotypes in pedigrees

Our genotype inference method combines sparse marker data from a linkage scan and high-resolution SNP genotypes for several individuals to infer genotypes for related individuals. We illustrate the method's utility by inferring over 53 million SNP genotypes for 78 children in the Centre d'Etude du Polymorphisme Humain families. The method can be used to obtain high-density genotypes in different family structures, including nuclear families commonly used in complex disease gene mapping studies.     

Probing long-distance regulatory interactions in the Drosophila melanogaster bithorax complex using Dam identification

A cis-regulatory region of nearly 300 kb controls the expression of the three bithorax complex (BX-C) homeotic genes: Ubx, abd-A and Abd-B. Interspersed between the numerous enhancers and silencers within the complex are elements called domain boundaries. Recently, many pieces of evidence have suggested that boundaries function to create autonomous domains by interacting among themselves and forming chromatin loops. In order to test this hypothesis, we used Dam identification to probe for interactions between the Fab-7 boundary and other regions in the BX-C. We were surprised to find that the targeting of Dam methyltransferase (Dam) to the Fab-7 boundary results in a strong methylation signal at the Abd-Bm promoter, approximately 35 kb away. Moreover, this methylation pattern is found primarily in the tissues where Abd-B is not expressed and requires an intact Fab-7 boundary. Overall, our work provides the first documented example of a dynamic, long-distance physical interaction between distal regulatory elements within a living, multicellular organism.     

Mutations in SYNE1 lead to a newly discovered form of autosomal recessive cerebellar ataxia

The past decade has seen great advances in unraveling the biological basis of hereditary ataxias. Molecular studies of spinocerebellar ataxias (SCA) have extended our understanding of dominant ataxias. Causative genes have been identified for a few autosomal recessive ataxias: Friedreich's ataxia, ataxia with vitamin E deficiency, ataxia telangiectasia, recessive spastic ataxia of Charlevoix-Saguenay and ataxia with oculomotor apraxia type 1 (refs. 6,7) and type 2 (ref. 8). Nonetheless, genes remain unidentified for most recessive ataxias. Additionally, pure cerebellar ataxias, which represent up to 20% of all ataxias, remain poorly studied with only two causative dominant genes being described: CACNA1A (ref. 9) and SPTBN2 (ref. 10). Here, we report a newly discovered form of recessive ataxia in a French-Canadian cohort and show that SYNE1 mutations are causative in all of our kindreds, making SYNE1 the first identified gene responsible for a recessively inherited pure cerebellar ataxia.     

Yield Curve Forecasting with the Burg Model

We introduce a versatile and robust model that may help policymakers, bond portfolio managers and financial institutions to gain insight into the future shape of the yield curve. The Burg model forecasts a 20‐day yield curve, which fits a pth‐order autoregressive (AR) model to the input signal by minimizing (least squares) the forward and backward prediction errors while constraining the autoregressive parameters to satisfy the Levinson–Durbin recursion. Then, it uses an infinite impulse response prediction error filter. Results are striking when the Burg model is compared to the Diebold and Li model: the model not only significantly improves accuracy, but also its forecast yield curves stick to the shape of observed yield curves, whether normal, humped, flat or inverted. Copyright © 2016 John Wiley & Sons, Ltd.