Evidence map›Paper›PMID 33108372›Full record

ArticlePLoS neglected tropical diseases2020

Proteomic fingerprinting of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library.

Rolando A Gittens, Alejandro Almanza, Kelly L Bennett, Luis C Mejía, Javier E Sanchez-Galan, Fernando Merchan, Jonathan Kern, Matthew J Miller, Helen J Esser, Robert Hwang and 4 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 4 countries.

Rolando A GittensCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.ORCID 0000-0002-0286-3956
Alejandro AlmanzaCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.
Kelly L BennettCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.
Luis C MejíaCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.ORCID 0000-0003-2135-5241
Javier E Sanchez-GalanCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.ORCID 0000-0001-8806-7901
Fernando MerchanGrupo de Investigación en Sistemas de Comunicaciones Digitales Avanzados, Facultad de Ingeniería Eléctrica, Universidad Tecnológica de Panamá, Panama, Republic of Panama.
Jonathan KernGrupo de Investigación en Sistemas de Comunicaciones Digitales Avanzados, Facultad de Ingeniería Eléctrica, Universidad Tecnológica de Panamá, Panama, Republic of Panama.
Matthew J MillerDepartment of Anthropology, Pennsylvania State University, University Park, PA, United States of America.ORCID 0000-0002-2939-0239
Helen J EsserDepartment of Environmental Sciences, Wageningen University, Wageningen, the Netherlands.
Robert HwangDepartment of Biology, Swarthmore College, Swarthmore, PA, United States of America.
May DongDepartment of Biology, Swarthmore College, Swarthmore, PA, United States of America.
Luis F De LeónCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.ORCID 0000-0001-9317-420X
Eric ÁlvarezPrograma Centroamericano de Maestría en Entomología, Universidad de Panamá, Panama, Republic of Panama.
Jose R LoaizaCentro de Biodiversidad y Descubrimiento de Drogas, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), Panama, Republic of Panama.ORCID 0000-0002-6574-6861
Instituto de Investigaciones Científicas y Servicios de Alta Tecnología · PASmithsonian Tropical Research Institute · PASwarthmore College · USUniversidad de Panamá · PAInstitut Polytechnique de Bordeaux · FRPennsylvania State University · USUniversidad Tecnológica de Panamá · PAUniversity of Massachusetts Boston · USWageningen University & Research · NL

Funding

EPA EP-C-15-002EPA EP-D-15-016
6 · The paper itself

Abstract

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.

Indexed as

AnimalsArthropod ProteinsDisease VectorsIxodidaeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationArthropod Proteins

Identifiers

PMID33108372
PMCPMC7647123
OpenAlexW3095648907

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.