Title |
Physiologically-Relevant Modes of Membrane Interactions by the Human Antimicrobial Peptide, LL-37, Revealed by SFG Experiments
|
---|---|
Published in |
Scientific Reports, May 2013
|
DOI | 10.1038/srep01854 |
Pubmed ID | |
Authors |
Bei Ding, Lauren Soblosky, Khoi Nguyen, Junqing Geng, Xinglong Yu, Ayyalusamy Ramamoorthy, Zhan Chen |
Abstract |
Antimicrobial peptides (AMPs) could become the next generation antibiotic compounds which can overcome bacterial resistance by disrupting cell membranes and it is essential to determine the factors underlying its mechanism of action. Although high-resolution NMR and other biological studies have provided valuable insights, it has been a major challenge to follow the AMP-membrane interactions at physiologically-relevant low peptide concentrations. In this study, we demonstrate a novel approach to overcome this major limitation by performing Sum Frequency Generation (SFG) vibrational spectroscopic experiments on lipid bilayers containing an AMP, LL-37. Our results demonstrate the power of SFG to study non-linear helical peptides and also infer that lipid-peptide interaction and the peptide orientation depend on the lipid membrane composition. The observed SFG signal changes capture the aggregating process of LL-37 on membrane. In addition, our SFG results on cholesterol-containing lipid bilayers indicate the inhibition effect of cholesterol on peptide-induced membrane permeation process. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 2% |
Switzerland | 1 | 2% |
Unknown | 62 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 25% |
Researcher | 11 | 17% |
Student > Bachelor | 8 | 13% |
Student > Doctoral Student | 7 | 11% |
Student > Postgraduate | 4 | 6% |
Other | 10 | 16% |
Unknown | 8 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 16 | 25% |
Agricultural and Biological Sciences | 11 | 17% |
Biochemistry, Genetics and Molecular Biology | 10 | 16% |
Physics and Astronomy | 7 | 11% |
Medicine and Dentistry | 6 | 9% |
Other | 6 | 9% |
Unknown | 8 | 13% |