Spatial positions of homopolymeric repeats in the human proteome and their effect on cellular toxicity

Glycogen synthase protects neurons from cytotoxicity of mutant huntingtin by enhancing the autophagy flux

Healthy neurons do not store glycogen while they do possess the machinery for the glycogen synthesis albeit at an inactive state. Neurons in the degenerating brain, however, are known to accumulate glycogen, although its significance was not well understood. Emerging reports present contrasting views on neuronal glycogen synthesis; a few reports demonstrate a neurotoxic effect of glycogen while a few others suggest glycogen to be neuroprotective. Thus, the specific role of glycogen and glycogen synthase in neuronal physiology is largely unexplored. Using cellular and animal models of Huntington's disease, we show here that the overexpression of cytotoxic mutant huntingtin protein induces glycogen synthesis in the neurons by activating glycogen synthase and the overexpressed glycogen synthase protected neurons from the cytotoxicity of the mutant huntingtin. Exposure of neuronal cells to proteasomal blockade and oxidative stress also activate glycogen synthase to induce glycogen synthesis and to protect against stress-induced neuronal death. We show that the glycogen synthase plays an essential and inductive role in the neuronal autophagic flux, and helps in clearing the cytotoxic huntingtin aggregate. We also show that the increased neuronal glycogen inhibits the aggregation of mutant huntingtin, and thus could directly contribute to its clearance. Finally, we demonstrate that excessive autophagy flux is the molecular basis of cell death caused by the activation of glycogen synthase in unstressed neurons. Taken together, our results thus provide a novel function for glycogen synthase in proteolytic processes and offer insight into the role of glycogen synthase and glycogen in both survival and death of the neurons.

Location trumps length: polyglutamine-mediated changes in folding and aggregation of a host protein

Expanded CAG diseases are progressive neurodegenerative disorders in which specific proteins have an unusually long polyglutamine stretch. Although these proteins share no other sequence or structural homologies, they all aggregate into intracellular inclusions that are believed to be pathological. We sought to determine what impact the position and number of glutamines have on the structure and aggregation of the host protein, apomyoglobin. Variable-length polyQ tracts were inserted either into the loop between the C- and D-helices (Q(n)CD) or at the N-terminus (Q(n)NT). The Q(n)CD mutants lost some α-helix and gained unordered and/or β-sheet in a length-dependent manner. These mutants were partially unfolded and rapidly assembled into soluble chain-like oligomers. In sharp contrast, the Q(n)NT mutants largely retained wild-type tertiary structure but associated into long, fibrillar aggregates. Control proteins with glycine-serine repeats (GS(8)CD and GS(8)NT) were produced. GS(8)CD exhibited similar structural perturbations and aggregation characteristics to an analogously sized Q(16)CD, indicating that the observed effects are independent of amino acid composition. In contrast to Q(16)NT, GS(8)NT did not form fibrillar aggregates. Thus, soluble oligomers are produced through structural perturbation and do not require polyQ, whereas classic fibrils arise from specific polyQ intermolecular interactions in the absence of misfolding.

An analysis of single amino acid repeats as use case for application specific background models

Background

Sequence analysis aims to identify biologically relevant signals against a backdrop of functionally meaningless variation. Increasingly, it is recognized that the quality of the background model directly affects the performance of analyses. State-of-the-art approaches rely on classical sequence models that are adapted to the studied dataset. Although performing well in the analysis of globular protein domains, these models break down in regions of stronger compositional bias or low complexity. While these regions are typically filtered, there is increasing anecdotal evidence of functional roles. This motivates an exploration of more complex sequence models and application-specific approaches for the investigation of biased regions.

Results

Traditional Markov-chains and application-specific regression models are compared using the example of predicting runs of single amino acids, a particularly simple class of biased regions. Cross-fold validation experiments reveal that the alternative regression models capture the multi-variate trends well, despite their low dimensionality and in contrast even to higher-order Markov-predictors. We show how the significance of unusual observations can be computed for such empirical models. The power of a dedicated model in the detection of biologically interesting signals is then demonstrated in an analysis identifying the unexpected enrichment of contiguous leucine-repeats in signal-peptides. Considering different reference sets, we show how the question examined actually defines what constitutes the 'background'. Results can thus be highly sensitive to the choice of appropriate model training sets. Conversely, the choice of reference data determines the questions that can be investigated in an analysis.

Conclusions

Using a specific case of studying biased regions as an example, we have demonstrated that the construction of application-specific background models is both necessary and feasible in a challenging sequence analysis situation.

Proline repeats, in cis- and trans-positions, confer protection against the toxicity of misfolded proteins in a mammalian cellular model

A broad range of neurodegenerative disorders result from the cytotoxicity conferred by aberrantly folded mutant proteins. Intriguingly, the cytotoxicity and aggregation property of a few mutant proteins are known to be modulated by the flanking sequences. One of such modulators is the proline repeat tract. Using a mammalian cellular model, we show here that proline repeat tract, both in cis- and in trans-positions, ameliorate the cytotoxicity of wide range of misfolded proteins coded by synthetic constructs. We further show that the proline repeat tract could possibly confer protection against the cytotoxicity of misfolded proteins by altering their conformation at the time of their synthesis. Thus, our study elucidates the mechanism by which the proline repeat tract might ameliorate the toxicity of misfolded proteins, and opens up new therapeutic modalities for disorders caused by cytotoxic misfolded proteins.

Assessing mutant huntingtin fragment and polyglutamine aggregation by atomic force microscopy

Huntington disease (HD), a neurodegenerative disorder, is caused by an expansion of more than 35-40 polyglutamine (polyQ) repeats located near the N-terminus of the huntingtin (htt) protein. The expansion of the polyQ domain results in the ordered assembly of htt fragments into fibrillar aggregates that are the main constituents of inclusion bodies, which are a hallmark of the disease. This paper describes protocols for studying the aggregation of mutant htt fragments and synthetic polyQ peptides with atomic force microscopy (AFM). Ex situ AFM is used to characterize aggregate formation in protein incubation as a function of time. Methods to quickly and unambiguously distinguish specific aggregate species from complex, heterogeneous aggregation reactions based on simple morphological features are presented. Finally, the application of time lapse atomic force microscopy in solution is presented for studying synthetic model polyQ peptides, which allows for tracking the formation and fate of individual aggregates on surfaces over time. This ability allows for dynamic studies of the aggregation process and direct observation of the interplay between different types of aggregates.