VANÍČKOVÁ, Lucie, Tomáš DO, Markéta VEJVODOVÁ, Vratislav HORÁK, Martin HUBÁLEK, Gabriella EMRI, Kristýna ZEMÁNKOVÁ, Kristýna PAVELICOVÁ, Soňa KŘÍŽKOVÁ, Veronika FALTUSOVÁ, Antonio POMPEIANO, Markéta VACULOVIČOVÁ, Ondřej ZÍTKA, Tomáš VACULOVIČ and Vojtěch ADAM. Mapping of MeLiM melanoma combining ICP-MS and MALDI-MSI methods. International Journal of Biological Macromolecules. Elsevier, 2022, vol. 203, April, p. 583-592. ISSN 0141-8130. Available from: https://dx.doi.org/10.1016/j.ijbiomac.2022.01.139.
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Basic information
Original name Mapping of MeLiM melanoma combining ICP-MS and MALDI-MSI methods
Authors VANÍČKOVÁ, Lucie (guarantor), Tomáš DO, Markéta VEJVODOVÁ (203 Czech Republic, belonging to the institution), Vratislav HORÁK, Martin HUBÁLEK, Gabriella EMRI, Kristýna ZEMÁNKOVÁ, Kristýna PAVELICOVÁ, Soňa KŘÍŽKOVÁ, Veronika FALTUSOVÁ (703 Slovakia, belonging to the institution), Antonio POMPEIANO, Markéta VACULOVIČOVÁ, Ondřej ZÍTKA, Tomáš VACULOVIČ (203 Czech Republic, belonging to the institution) and Vojtěch ADAM.
Edition International Journal of Biological Macromolecules, Elsevier, 2022, 0141-8130.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10608 Biochemistry and molecular biology
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 8.200
RIV identification code RIV/00216224:14310/22:00128078
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1016/j.ijbiomac.2022.01.139
UT WoS 000860598200010
Keywords in English Melanoma; Mass spectrometry; MeLiM
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 18/1/2023 10:38.
Abstract
Here we developed a powerful tool for comprehensive data collection and mapping of molecular and elemental signatures in the Melanoma-bearing Libechov Minipig (MeLiM) model. The combination of different mass spectrometric methods allowed for detail investigation of specific melanoma markers and elements and their spatial distribution in tissue sections. MALDI-MSI combined with HPLC-MS/MS analyses resulted in identification of seven specific proteins, S100A12, CD163, MMP-2, galectin-1, tenascin, resistin and PCNA that were presented in the melanoma signatures. Furthermore, the ICP-MS method allowed for spatial detection of zinc, calcium, copper, and iron elements linked with the allocation of the specific binding proteins.
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