Accumulation of ordered protein aggregates (or amyloids) represents a hallmark of many diseases (e.g., Alzheimer's disease, type II diabetes, Parkinson's diseases etc.), results from intermolecular association of partially unfolded proteins/ peptides. Such associations usually take place in highly crowded conditions. The aggregates, which are formed under in vitro and in vivo conditions exhibit substantial variations in their structure and function. Such heterogeneities in amyloids might arise due to macromolecular crowding that is usually omitted under in vitro conditions. The current study is an attempt to assess the effects of macromolecular crowding on amyloid formation using a model amyloidogenic peptide. The sequence of the peptide was derived from C-terminal region (RATQIPSYKKLIMY) of PAP(248-286), which naturally occurs in human semen as amyloid aggregates and is known for boosting HIV infectivity. This model peptide forms sedimentable and fibrillar aggregates in aqueous buffer and shows the characteristic features of amyloids. In the presence of macromolecular crowders the morphological features of the amyloids are significantly altered and resulted in the formation of shorter amyloid aggregates. The current study assumes the hypothesis that macromolecular crowding in the biological system favours formation of heterogeneous classes of aggregates and each of them might differ in their biophysical and biological properties.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.