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Zacco, E.

Publications and source records attributed to Zacco, E..

2 recordsLinked to original sources

A Theoretical Model reveals RNA sequestration in Alpha Synuclein Aggregates

Nucleic acids can act as potent modulators of protein aggregation, and RNA is able to either hinder or facilitate protein assembly depending on the molecular context. Here we used a computational approach to characterize the physico-chemical properties of regions involved in amyloid aggregation. In different experimental datasets we observed that, while the core is hydrophobic and highly ordered, external regions, more disordered, display a distinct tendency to interact with nucleic acids. To validate our predictions, we performed aggregation assays with -synuclein (aS140), a non-nucleic acid binding amyloidogenic protein, and a mutant truncated at the acidic C-terminus (aS103) that is predicted to sequester RNA. For both aS140 and aS103 we observed acceleration of the aggregation upon RNA addition with a significantly stronger effect for aS103. Due to the favorable electrostatics, we observed enhanced nucleic-acid sequestration ability for aS103 that entrapped a larger amount of RNA. Overall, our research suggests that RNA sequestration is a rather common phenomenon linked to protein aggregation and constitutes a gain-of-function mechanism to be further investigated. STATEMENT OF SIGNIFICANCEOur study indicates that aggregation confers RNA-binding ability to non-RNA-binding proteins such as alpha synuclein. The sequestration of RNA upon protein aggregation might alter RNA homeostasis and impact multiple biochemical cascades.

biochemistry↗

Discovering host protein interactions specific for SARS-CoV-2 RNA genome

SARS-CoV-2, a positive single-stranded RNA virus, interacts with host cell proteins throughout its life cycle. These interactions are necessary for the host to recognize and hinder the replication of SARS-CoV-2. For the virus, to translate, transcribe and replicate its genetic material. However, many details of these interactions are still missing. We focused on the proteins binding to the highly structured 5 and 3 end regions of SARS-CoV-2 RNA that were predicted by the catRAPID algorithm to attract numerous proteins, exploiting RNA-Protein Interaction Detection coupled with Mass Spectrometry (RaPID-MS) technology. The validated interactors, which agreed with our predictions, include pseudouridine synthase PUS7 that binds to both ends of the viral RNA. Nanopore direct-RNA sequencing confirmed that the RNA virus is heavily modified, and PUS7 consensus regions were found in both SARS-CoV-2 RNA end regions. Notably, a modified site was detected in the viral Transcription Regulatory Sequence - Leader (TRS-L) and can influence the viral RNA structure and interaction propensity. Overall, our data map host protein interactions within SARS-CoV-2 UTR regions, pinpointing to a potential role of pseudouridine synthases and post-transcriptional modifications in the viral life cycle. These findings contribute to understanding virus-host dynamics and may guide the development of targeted therapies.

molecular biology↗