Proteasome-Directed Camelid Nanobodies Promote the Degradation of a-Synuclein as a Potential Parkinson's Disease Therapeutic
ISEF · 2014 Computational Biology and Bioinformatics
Overview
The purpose of this study was to screen several VHH nanobodies for effective intracellular binding to a-Synuclein (Syn), whose aggregation is associated with Parkinson’s disease. Previously, it was shown that intrabodies fused to a proteasomal targeting motif (PEST), can degrade their intracellular target in both Huntington’s and Parkinson’s diseases. Seven VHH nanobodies were subcloned into constructs that consisted of the nanobody and either no PEST motif (H), a PEST motif (P), or a Scrambled PEST motif (S). The seven PEST motif constructs were screened for their ability to degrade Syn compared to VH14-P, a single domain intrabody that degrades Syn efficiently in neuronal cells. The initial screening revealed that only Syn87-P degraded Syn to a greater extent than VH14-P. Interestingly, all Syn87 constructs degraded wild type Syn and Syn-eGFP in cells transfected with either protein, indicating that Syn87 intrinsically stimulated Syn degradation. Syn87's ability to promote the degradation of Syn was verified by inhibiting the proteasome and autophagy pathways. As expected, Syn87-P was shown to degrade Syn through the proteasome. Syn87-H and Syn87-S were shown to degrade Syn through autophagy. Viability was accessed through flow cytometric analysis. Cells transfected with either GFP or Syn-GFP and either Control, Syn87-P, or VH14P were stained with propidium iodide to label dead cells. Syn87P and VH14P reduced Syn attributed cell death from 22.59% to below GFP control levels 15.78%. PEST fusion to nanobodies offers a rapid method of screening nanobodies for effective binding to antigen in vitro. These in vitro data suggest that Syn87 may be a potential therapeutic for PD, although future in vivo studies are required.
Competition history
- ISEF 2014
Resources
Related projects
ISEF · 2026
A Multi-Stage Computational Pipeline for Designing Therapeutic Peptides Against Alpha-Synuclein Aggregation, Utilizing a Geometry-Aware Machine Learning Model Trained on ProLIF Data
ISEF · 2017
Ameliorating Alpha-Synuclein Aggregation in Parkinson's Using Optimized Chaperones: An in silico Approach
ISEF · 2021
In silico High Throughput Identification of Novel Alpha-Synuclein Aggregation Inhibitors for Parkinson's Disease Treatments
ISEF · 2026
Frankenstein-Synuclein: Rapid, Structure-Informed in silico Generation of de novo Replacement Protein Variants Using Benign Homologs for Parkinson's Disease Prevention
Closest projects by meaning, across every fair and year in the corpus.
Source: Regeneron International Science and Engineering Fair