volume 33 issue 8 pages 1480-1491

Mass Spectrometry Differentiation between Rana arvalis Populations Based on Their Skin Peptidome Composition

Tatiana Yu Samgina 1
Polonca Trebše 2, 3
Gregor Torkar 4
Alexey K. Surin 5
Zhaowei Meng 6
Publication typeJournal Article
Publication date2022-07-12
scimago Q1
wos Q1
SJR0.704
CiteScore5.0
Impact factor2.7
ISSN10440305, 18791123
Spectroscopy
Structural Biology
Abstract
Skin secretion of amphibians often represents the only weapon of these species against pathogens and predators. Peptides constitute the major portion of active molecules of that weapon and may be treated as potential pharmaceuticals for future generations. The first step of their efficient use involves establishing of their primary structure, i.e., sequencing. De novo sequencing by means of mass spectrometry was applied to Rana arvalis species, collected in the spring 2021 in Central Slovenia (vicinity of Ljubljana). HPLC-ESI-HRMS/MS with Orbitrap instruments was used to establish the skin peptidome of these species and compare it with the earlier identified skin peptidome of the Moscow population of Rana arvalis. Application of CID, HCD, ETD, and EThcD enabled detecting and sequencing 18 peptides; five of them were novel and may be treated as possible biomarkers of the Ljubljana population of Rana arvalis. Interestingly, representatives of two peptide families (temporins and brevinins 2) were not found in the Moscow population. MS3 modes, first of all EThcD, demonstrated their great potential in the de novo sequencing, including extraction of the sequence information from the intact peptides with disulfide cycle (rana box) in their structure and differentiation of isomeric Leu/Ile residues. Thus, all six isomeric residues were reliably distinguished in the novel melittin-related peptide AK-23-1. In addition, another post-translational modification dealing with carbonylation of the N-terminal Gly of novel temporin AVa was established using the MS3 mode. The obtained results demonstrate the efficiency of the use of MS3 tools in proteomics/peptidomics.
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Samgina T. Yu. et al. Mass Spectrometry Differentiation between Rana arvalis Populations Based on Their Skin Peptidome Composition // Journal of the American Society for Mass Spectrometry. 2022. Vol. 33. No. 8. pp. 1480-1491.
GOST all authors (up to 50) Copy
Samgina T. Yu., Vasileva I. D., Trebše P., Torkar G., Surin A. K., Meng Z., ZUBAREV R., Lebedev A. T. Mass Spectrometry Differentiation between Rana arvalis Populations Based on Their Skin Peptidome Composition // Journal of the American Society for Mass Spectrometry. 2022. Vol. 33. No. 8. pp. 1480-1491.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1021/jasms.2c00084
UR - https://doi.org/10.1021/jasms.2c00084
TI - Mass Spectrometry Differentiation between Rana arvalis Populations Based on Their Skin Peptidome Composition
T2 - Journal of the American Society for Mass Spectrometry
AU - Samgina, Tatiana Yu
AU - Vasileva, Irina D
AU - Trebše, Polonca
AU - Torkar, Gregor
AU - Surin, Alexey K.
AU - Meng, Zhaowei
AU - ZUBAREV, Roman
AU - Lebedev, Albert T.
PY - 2022
DA - 2022/07/12
PB - American Chemical Society (ACS)
SP - 1480-1491
IS - 8
VL - 33
PMID - 35820801
SN - 1044-0305
SN - 1879-1123
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Samgina,
author = {Tatiana Yu Samgina and Irina D Vasileva and Polonca Trebše and Gregor Torkar and Alexey K. Surin and Zhaowei Meng and Roman ZUBAREV and Albert T. Lebedev},
title = {Mass Spectrometry Differentiation between Rana arvalis Populations Based on Their Skin Peptidome Composition},
journal = {Journal of the American Society for Mass Spectrometry},
year = {2022},
volume = {33},
publisher = {American Chemical Society (ACS)},
month = {jul},
url = {https://doi.org/10.1021/jasms.2c00084},
number = {8},
pages = {1480--1491},
doi = {10.1021/jasms.2c00084}
}
MLA
Cite this
MLA Copy
Samgina, Tatiana Yu., et al. “Mass Spectrometry Differentiation between Rana arvalis Populations Based on Their Skin Peptidome Composition.” Journal of the American Society for Mass Spectrometry, vol. 33, no. 8, Jul. 2022, pp. 1480-1491. https://doi.org/10.1021/jasms.2c00084.