RESUMEN
Sequence determination of peptides is a crucial step in mass spectrometry-based proteomics. Peptide sequences are determined either by database search or by de novo sequencing using tandem mass spectrometry. Determination of all the theoretical expected peptide fragments and eliminating false discoveries remains a challenge in proteomics. Developing standards for evaluating the performance of mass spectrometers and algorithms used for identification of proteins is important for proteomics studies. The current study is focused on these aspects by using synthetic peptides. A total of 599 peptides were designed from in silico tryptic digest with 1 or 2 missed cleavages from 199 human proteins, and synthetic peptides corresponding to these sequences were obtained. The peptides were mixed together, and analysis was carried out using liquid chromatography-electrospray ionization tandem mass spectrometry on a Q-Exactive HF mass spectrometer. The peptides and proteins were identified with SEQUEST program. The analysis was carried out using the proteomics workflows. A total of 573 peptides representing 196 proteins could be identified, and a spectral library was created for these peptides. Analysis parameters such as "no enzyme selection" gave the maximum number of detected peptides as compared with trypsin in the selection. False discoveries could be identified. This study highlights the limitations of peptide detection and the need for developing powerful algorithms along with tools to evaluate mass spectrometers and algorithms. It also shows the limitations of peptide detection even with high-end mass spectrometers. The mass spectral data are available in ProteomeXchange with accession no. PXD017992.
Asunto(s)
Péptidos , Proteómica , Algoritmos , Cromatografía Liquida , Humanos , Proteínas , Espectrometría de Masas en TándemRESUMEN
Human-ß-defensins (HBD1-3) are antibacterial peptides containing three disulphide bonds. In the present study, the effect of Escherichia coli lipopolysaccharide (LPS) on the antibacterial activities of HBD2-3, C-terminal analogues having a single disulphide bond, Phd1-3, and their corresponding myristoylated analogues MPhd1-3 were investigated. The effect of LPS on the activities of linear amphipathic peptides melittin, LL37 and non-ribosomally synthesized peptides, polymyxin B, alamethicin, gramicidin A, and gramicidin S was also examined. The antibacterial activity of HBD 2-3, Phd1-3, and MPhd1-3 in the presence of LPS against E. coli and Staphylococcus aureus was inhibited. While LPS inhibited the antibacterial activity of LL37, the inhibition of melittin activity was partial. The hemolytic activity exhibited by MPhd1, MPhd3, melittin, and LL37 was inhibited in the presence of LPS. HBD2-3, Phd1-3, and MPhd1-3 also showed endotoxin neutralizing activity. The antibacterial and hemolytic activities of polymyxin B, alamethicin, gramicidin A, and gramicidin S were not inhibited in the presence of LPS. Fluorescence assays employing dansyl cadaverine showed that HBD2-3 and defensin analogues bind to LPS more strongly as compared to alamethicin, gramicidin A, and gramicidin S. Electron microscopy images indicated that peptides disintegrate the structure of LPS. The inhibition of the antibacterial activity of native defensins and analogues in the presence of LPS indicates that the initial interaction with the bacterial surface is similar. The native defensin sequence or structure is also not essential, although cationic charges are necessary for binding to LPS. Hydrophobic interaction is the main driving force for association of non-ribosomally synthesized polymyxin B, alamethicin, gramicidin A, and gramicidin S with LPS. It is likely that these peptides rapidly insert into membranes and do not interact with the bacterial cell surface, whereas cationic peptides such as ß-defensin and their analogues, melittin and LL37, first interact with the bacterial cell surface and then the membrane. Our results suggest that evaluating interaction of antibacterial and hemolytic peptides with LPS is a compelling way of elucidating the mechanism of bacterial killing or hemolysis.
RESUMEN
Sequence determination of peptides is a crucial step in mass spectrometry-based proteomics. Peptide sequences are determined either by database search or by de novo sequencing using tandem mass spectrometry. Determination of all the theoretical expected peptide fragments and eliminating false discoveries remains a challenge in proteomics. Developing standards for evaluating the performance of mass spectrometers and algorithms used for identification of proteins is important for proteomics studies. The current study is focused on these aspects by using synthetic peptides. A total of 599 peptides were designed from in silico tryptic digest with 1 or 2 missed cleavages from 199 human proteins, and synthetic peptides corresponding to these sequences were obtained. The peptides were mixed together, and analysis was carried out using liquid chromatography-electrospray ionization tandem mass spectrometry on a Q-Exactive HF mass spectrometer. The peptides and proteins were identified with SEQUEST program. The analysis was carried out using the proteomics workflows. A total of 573 peptides representing 196 proteins could be identified, and a spectral library was created for these peptides. Analysis parameters such as "no enzyme selection" gave the maximum number of detected peptides as compared with trypsin in the selection. False discoveries could be identified. This study highlights the limitations of peptide detection and the need for developing powerful algorithms along with tools to evaluate mass spectrometers and algorithms. It also shows the limitations of peptide detection even with high-end mass spectrometers. The mass spectral data are available in ProteomeXchange with accession no. PXD017992.