Work Description

Title: Molecular Architecture and Helicity of Bacterial Amyloid Nanofibers: Implications for the Design of Nanoscale Antibiotics Open Access Deposited

h
Attribute Value
Methodology
  • Molecular dynamics simulations, Python analysis, mass spectroscopy, transmission electron microscopy (TEM), atomic force microscopy (AFM), image processing, HPLC, and in-vitro fiber aggregation were used to collect and process the data included in this work.
Description
  • Amyloid nanofibers are abundant in microorganisms and are integral components of many biofilms, serving various purposes, from virulent to structural. Nonetheless, the precise characterization of bacterial amyloid nanofibers has been elusive, with incomplete and contradicting results. The present work focuses on the molecular details and characteristics of PSMa1-derived functional amyloids present in Staphylococcus aureus biofilms, using a combination of computational and experimental techniques, to develop a model that can aid the design of compounds to control amyloid formation. Results from molecular dynamics simulations, guided and supported by spectroscopy and microscopy, show that PSMa1 amyloid nanofibers present a helical structure formed by two protofilaments, have an average diameter of about 12 nm, and adopt a left-handed helicity with a periodicity of approximately 72 nm. The chirality of the self-assembled nanofibers, an intrinsic geometric property of its constituent peptides, is central to determining the fibers' lateral growth.
Creator
Depositor
  • cluyet@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
  • Department of Defense (DOD)
Other Funding agency
  • BlueSky Initiative, University of Michigan
ORSP grant number
  • HR00111720067
Keyword
Date coverage
  • 2018-01-01 to 2023-03-06
Citations to related material
  • Paolo Elvati, Chloe Luyet, Yichun Wang, Changjiang Liu, J. Scott VanEpps, Nicholas A. Kotov, and Angela Violi ACS Applied Nano Materials 2023 6 (8), 6594-6604 DOI: 10.1021/acsanm.3c00174
Related items in Deep Blue Documents
Resource type
Curation notes
  • This data set was moved from Deep Blue Documents to Deep Blue Data on August 9, 2023. The original DOI in Deep Blue Documents is still active and the landing page in that repository will direct users to this page in Deep Blue Data.
Last modified
  • 08/22/2023
Published
  • 08/22/2023
Language
DOI
  • https://doi.org/10.7302/2628
License
To Cite this Work:
Elvati, P., Luyet, C., Wang, Y., Liu, C., VanEpps, J. S., Kotov, N. A., Violi, A. (2023). Molecular Architecture and Helicity of Bacterial Amyloid Nanofibers: Implications for the Design of Nanoscale Antibiotics [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/2628

Relationships

This work is not a member of any user collections.

Files (Count: 2; Size: 427 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
README_FIBERS 2023-08-09 2023-08-09 44.8 KB Open Access
DBD_Rev_Luyet_MolecArchitec.zip 2023-08-10 2023-08-10 427 MB Open Access

No readme file set has been assigned to this work. Please upload a readme file or select one the existing files and assign it as the readme file using the file's pull down action menu. Readme files must be plain text and less than 500 KB in size. If a plain text file name contains "readme" (case insensitive) and there is no readme file assigned to the work, it will automatically be assigned as the readme upon upload and no further action is required.

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.