Characterization of the human primary visual cortex and cerebellum proteomes using shotgun mass spectrometry-data-independent analyses

PROTEOMICS ◽  
2012 ◽  
Vol 12 (3) ◽  
pp. 500-504 ◽  
Author(s):  
Daniel Martins-de-Souza ◽  
Paul C. Guest ◽  
Francesca L. Guest ◽  
Corinna Bauder ◽  
Hassan Rahmoune ◽  
...  
Author(s):  
Giuseppina Maccarrone ◽  
Juan Jose Bonfiglio ◽  
Susana Silberstein ◽  
Christoph W. Turck ◽  
Daniel Martins-de-Souza

2016 ◽  
Vol 15 (6) ◽  
pp. 2026-2038 ◽  
Author(s):  
Margaret R. Baker ◽  
David L. Tabb ◽  
Travers Ching ◽  
Lisa J. Zimmerman ◽  
Ivan Y. Sakharov ◽  
...  

2009 ◽  
Vol 390 (5/6) ◽  
Author(s):  
Jørgen Petersen ◽  
Anders Boysen ◽  
Lotte Fogh ◽  
Kathrine Tabermann ◽  
Thomas Kofoed ◽  
...  

AbstractLantibiotics are a group of potent antibacterial agents that contain unusual amino acids, such as the thioether amino acids lanthionine and methyllanthionine, and the didehydroamino acids didehydroalanine and didehydro-aminobutyric acid. Here, we report on an antibacterial lantibiotic peptide named SWLP1 (Staphylococcus warnerilantibiotic peptide 1), which is secreted fromStaphylococcus warneri(deposited with DSMZ, accession number DSM 16081). SWLP1 was purified from growth media. The purified peptide displays antibacterial activity against several species, includingStaphylococcus epidermidis. The molecular mass of SWLP1 is 2998.9 Da as determined by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. The sequence and possible structure was elucidated by combining electrospray ionization mass spectrometry/mass spectrometry data of ethanethiol-treated and non-ethanethiol-treated tryptic fragments of the SWLP1. SWLP1 contains three thioether bridges, one didehydroalanine, and three didehydroaminobutyric acids. This peptide has the potential to be used in treatment of several Gram-positive bacterial infections.


2011 ◽  
Vol 10 (9) ◽  
pp. 4325-4333 ◽  
Author(s):  
Douglas W. Mahoney ◽  
Terry M. Therneau ◽  
Carrie J. Heppelmann ◽  
LeeAnn Higgins ◽  
Linda M. Benson ◽  
...  

2022 ◽  
Vol 116 (1) ◽  
pp. 11-19
Author(s):  
Jiří Novák ◽  
Vladimír Havlíček

We describe the molecular dereplication principles and de novo characterization of small molecules obtained from liquid-chromatography mass spectrometry and imaging mass spectrometry data sets. Our methodology aims at supporting chemists and computer programmers to understand the hidden computing algorithms used for metabolomics mass spectrometry data processing. The approaches have been made available in the open-source tool CycloBranch. The presented tutorial extends the interpretation of mass spectra portfolia described in a series of papers published in Chemicke Listy, issues 2/2020 and 3/2020.


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