Xiaomeng Lu
University of Wisconsin-Madison
5 Papers
13 Citations
Xiaomeng Lu is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Asparagine & Peptide. The author has an hindex of 4, co-authored 5 publications.
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Papers
TANGO-Inspired Design of Anti-Amyloid Cyclic Peptides
TL;DR: A significantly improved cyclic peptide is synthesized using the algorithm TANGO, designed originally to identify amyloidogenic sequences in proteins, and it is demonstrated that the peptide, in binding to Aβ, redirects Aβ toward protease-sensitive, nonfibrillar aggregates.
Synthesis and disaggregation of asparagine repeat-containing peptides.
Xiaomeng Lu,Regina M. Murphy +1 more
TL;DR: Circular dichroism spectra reveal a greater propensity for β‐turn formation in polyN than polyQ, providing an explanation for the increased stability of polyN aggregates relative to polyQ.
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Nanoparticle Tracking for Protein Aggregation Research.
Xiaomeng Lu,Regina M. Murphy +1 more
TL;DR: Protocols for using nanoparticle tracking in protein aggregation research are described, and a few examples for illustrative purposes are provided.
Asparagine Repeat Peptides: Aggregation Kinetics and Comparison with Glutamine Repeats.
Xiaomeng Lu,Regina M. Murphy +1 more
TL;DR: Assessment of aggregation of peptides with asparagine repeats of variable length found that N-repeat peptides adopted β-turn structural elements, leading to faster self-assembly into globular oligomers and much more rapid conversion into fibrillar aggregates, compared to Q- Repeat peptides.
Evaluation of nanoparticle tracking for characterization of fibrillar protein aggregates
TL;DR: NTA is used to examine three amyloidogenic materials: beta-amyloid, transthyretin, and polyglutamine-containing peptides, and the results are instructive in demonstrating the advantages and some limitations of single-particle diffusion measurements for investigating aggregation in protein systems.