Presence Of Aggregation-prone Regions Research Articles

Predicted aggregation-prone region (APR) in βB1-crystallin forms the amyloid-like structure and induces aggregation of soluble proteins isolated from human cataractous eye lens

The aggregation of β-crystallins in the human eye lens constitutes a critical step during the development of cataract. We anticipated that the presence of Aggregation-Prone Regions (APRs) in their primary structure, which might be responsible for conformational change required for the self-assembly. To examine the presence of APRs, we systematically analyzed the primary structures of β-crystallins. Out of seven subtypes, the βB1-crystallin found to possess the highest aggregation score with 9 APRs in its primary structure. To confirm the amyloidogenic nature of these newly identified APRs, we further studied the aggregation behavior of one of the APRs spanning from 174 to 180 residues (174LWVYGFS180) of βB1-crystallin, which is referred as βB1(174-180). Under in vitro conditions, the synthetic analogue of βB1(174-180) peptide formed visible aggregates and displayed high Congo red (CR) bathochromic shift, Thioflavin T (ThT) binding and fibrilar morphology under transmission electron microscopy, which are the typical characteristics of amyloids. Further, the aggregated βB1(174-180) was found to induce aggregation of the soluble fraction of proteins isolated from the human cataractous lens. This observation suggests that the presence of APRs in βB1-crystallin might be serving as one of the intrinsic supplementary factors responsible for constitutive aggregation behavior of βB1-crystallin and development of cataract.

AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation.

Protein aggregation is a major unsolved problem in biochemistry with implications for several human diseases, biotechnology and biomaterial sciences. A majority of sequence-structural properties known for their mechanistic roles in protein aggregation do not correlate well with the aggregation kinetics. This limits the practical utility of predictive algorithms. We analyzed experimental data on 183 unique single point mutations that lead to change in aggregation rates for 23 polypeptides and proteins. Our initial mathematical model obtained a correlation coefficient of 0.43 between predicted and experimental change in aggregation rate upon mutation (P-value <0.0001). However, when the dataset was classified based on protein length and conformation at the mutation sites, the average correlation coefficient almost doubled to 0.82 (range: 0.74-0.87; P-value <0.0001). We observed that distinct sequence and structure-based properties determine protein aggregation kinetics in each class. In conclusion, the protein aggregation kinetics are impacted by local factors and not by global ones, such as overall three-dimensional protein fold, or mechanistic factors such as the presence of aggregation-prone regions. The web server is available at http://www.iitm.ac.in/bioinfo/aggrerate-pred/. Supplementary data are available at Bioinformatics online.

Selective Knockdowns in Maize by Sequence-Specific Protein Aggregation.

Protein aggregation is determined by 5-15 amino acids peptides of the target protein sequence, so-called aggregation-prone regions (APRs) that specifically self-associate to form β-structured inclusions. The presence of APRs in a target protein can be predicted by a dedicated algorithm, such as TANGO. Synthetic aggregation-prone proteins are designed by expressing specific APRs fused to a fluorescent carrier for stability and visualization. Previously, the stable expression of these proteins in Zea mays (maize) has been demonstrated to induce aggregation of target proteins with specific localization, such as the starch-degrading enzyme α-glucan water dikinase, giving rise to plants displaying knockdown phenotypes. Here, we describe how to design synthetic aggregation-prone proteins to harness the sequence specificity of APRs to generate aggregation-associated phenotypes in a targeted manner and in different subcellular compartments. This method points toward the application of induced targeted aggregation as a useful tool to knock down protein functions in maize and to generate crops with improved traits.

Polyglutamine expansion diseases: More than simple repeats.

Polyglutamine (polyQ) repeat-containing proteins are widespread in the human proteome but only nine of them are associated with highly incapacitating neurodegenerative disorders. The genetic expansion of the polyQ tract in disease-related proteins triggers a series of events resulting in neurodegeneration. The polyQ tract plays the leading role in the aggregation mechanism, but other elements modulate the aggregation propensity in the context of the full-length proteins, as implied by variations in the length of the polyQ tract required to trigger the onset of a given polyQ disease. Intrinsic features such as the presence of aggregation-prone regions (APRs) outside the polyQ segments and polyQ-flanking sequences, which synergistically participate in the aggregation process, are emerging for several disease-related proteins. The inherent polymorphic structure of polyQ stretches places the polyQ proteins in a central position in protein-protein interaction networks, where interacting partners may additionally shield APRs or reshape the aggregation course. Expansion of the polyQ tract perturbs the cellular homeostasis and contributes to neuronal failure by modulating protein-protein interactions and enhancing toxic oligomerization. Post-translational modifications further regulate self-assembly either by directly altering the intrinsic aggregation propensity of polyQ proteins, by modulating their interaction with different macromolecules or by modifying their withdrawal by the cell quality control machinery. Here we review the recent data on the multifaceted aggregation pathways of disease-related polyQ proteins, focusing on ataxin-3, the protein mutated in Machado-Joseph disease. Further mechanistic understanding of this network of events is crucial for the development of effective therapies for polyQ diseases.

Solubis: optimize your protein.

Protein aggregation is associated with a number of protein misfolding diseases and is a major concern for therapeutic proteins. Aggregation is caused by the presence of aggregation-prone regions (APRs) in the amino acid sequence of the protein. The lower the aggregation propensity of APRs and the better they are protected by native interactions within the folded structure of the protein, the more aggregation is prevented. Therefore, both the local thermodynamic stability of APRs in the native structure and their intrinsic aggregation propensity are a key parameter that needs to be optimized to prevent protein aggregation. The Solubis method presented here automates the process of carefully selecting point mutations that minimize the intrinsic aggregation propensity while improving local protein stability.