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Proteomic fingerprinting of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library — Europe PMC PMID:33108372

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/33108372
DOI: 10.1371/journal.pntd.0008849
License (as archived): CC0-1.0
Archived: 2026-11-07T01:37:03.900Z
SHA-256 of the archived text: 0b092b45786577ee002e016426af2f844f6f7e7d7000309fd2acfed3e318b453
Stable URL of this page: https://metraipolis.com/documento/dc_bc3fb2d240a2

How to cite

Proteomic fingerprinting of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library — Europe PMC PMID:33108372 — Europe PMC (en), https://europepmc.org/article/MED/33108372 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bc3fb2d240a2 (Metraipolis archive dc_bc3fb2d240a2, sha256 0b092b45786577ee002e016426af2f844f6f7e7d7000309fd2acfed3e318b453)

BibTeX

@misc{dcbc3fb2d240a2,
  title = {Proteomic fingerprinting of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library — Europe PMC PMID:33108372},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/33108372},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bc3fb2d240a2; sha256 0b092b45786577ee002e016426af2f844f6f7e7d7000309fd2acfed3e318b453},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/33108372. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry is an analytical method that detects macromolecules that can be used for proteomic fingerprinting and taxonomic identification in arthropods. The conventional MALDI approach uses fresh laboratory-reared arthropod specimens to build a reference mass spectra library with high-quality standards required to achieve reliable identification. However, this may not be possible to accomplish in some arthropod groups that are difficult to rear under laboratory conditions, or for which only alcohol preserved samples are available. Here, we generated MALDI mass spectra of highly abundant proteins from the legs of 18 Neotropical species of adult field-collected hard ticks, several of which had not been analyzed by mass spectrometry before. We then used their mass spectra as fingerprints to identify each tick species by applying machine learning and pattern recognition algorithms that combined unsupervised and supervised clustering approaches. Both Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) classification algorithms were able to identify spectra from different tick species, with LDA achieving the best performance when applied to field-collected specimens that did have an existing entry in a reference library of arthropod protein spectra. These findings contribute to the growing literature that ascertains mass spectrometry as a rapid and effective method to complement other well-established techniques for taxonomic identification of disease vectors, which is the first step to predict and manage arthropod-borne pathogens.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PLoS neglected tropical diseases, 2020 (prima pubblicazione 2020-10-27).
Identificativi: PMID 33108372 · PMCID PMC7647123 · DOI 10.1371/journal.pntd.0008849.
Pagina: https://europepmc.org/article/MED/33108372 — https://doi.org/10.1371/journal.pntd.0008849. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-11-07T01:33:30.899Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.