Article ; Online: Direct Identification of Functional Amyloid Proteins by Label-Free Quantitative Mass Spectrometry.
2017 Volume 7, Issue 3
Abstract: Functional amyloids are important structural and functional components of many biofilms, yet our knowledge of these fascinating polymers is limited to a few examples for which the native amyloids have been isolated in pure form. Isolation of the ... ...
Abstract | Functional amyloids are important structural and functional components of many biofilms, yet our knowledge of these fascinating polymers is limited to a few examples for which the native amyloids have been isolated in pure form. Isolation of the functional amyloids from other cell components represents a major bottleneck in the search for new functional amyloid systems. Here we present a label-free quantitative mass spectrometry method that allows identification of amyloid proteins directly in cell lysates. The method takes advantage of the extreme structural stability and polymeric nature of functional amyloids and the ability of concentrated formic acid to depolymerize the amyloids. An automated data processing pipeline that provides a short list of amyloid protein candidates was developed based on an amyloid-specific sigmoidal abundance signature in samples treated with increasing concentrations of formic acid. The method was evaluated using the |
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MeSH term(s) | Amyloidogenic Proteins/chemistry ; Amyloidogenic Proteins/isolation & purification ; Bacterial Proteins/chemistry ; Bacterial Proteins/isolation & purification ; Biofilms ; Escherichia coli/metabolism ; Escherichia coli/physiology ; Mass Spectrometry/methods ; Protein Stability ; Pseudomonas/metabolism ; Pseudomonas/physiology |
Chemical Substances | Amyloidogenic Proteins ; Bacterial Proteins |
Language | English |
Publishing date | 2017-08-04 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2701262-1 |
ISSN | 2218-273X ; 2218-273X |
ISSN (online) | 2218-273X |
ISSN | 2218-273X |
DOI | 10.3390/biom7030058 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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