Blood plasma proteomics for detecting potential biomarkers for tick resistance in a tropically adapted beef cattle breed

The identification of differentially abundant proteins between RES and SUS animals, as well as their relationships and roles in key biological processes and molecular pathways detected, contribute to improving our understanding of the mechanisms underlying tick resistance in naturally adapted cattle breeds. Furthermore, the differentially abundant proteins detected in this study are potential biomarkers for the response to R. microplus infestation.

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Publication Details

Journal
BMC Genomics
Published
2025-11-12
DOI
https://doi.org/10.1186/s12864-025-12245-x
Citations
1
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
2.05

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article

Blood plasma proteomics for detecting potential biomarkers for tick resistance in a tropically adapted beef cattle breed

Fernando Sebastian Baldi, Rafael M. O. Silva, Breno de Oliveira Fragomeni, Nedenia Bonvino Stafuzza et al.
1 citations
BMC Genomics
Vector-borne infectious diseases
2.05
article

Blood plasma proteomics for detecting potential biomarkers for tick resistance in a tropically adapted beef cattle breed

Fernando Sebastian Baldi, Rafael M. O. Silva, Breno de Oliveira Fragomeni, Nedenia Bonvino Stafuzza, Henrique G. Reolon, Daniela A. L. Lourenco, Natalya G. Abduch, Cláudia Cristina Paro de Paz
article en
1 citations

Abstract

The identification of differentially abundant proteins between RES and SUS animals, as well as their relationships and roles in key biological processes and molecular pathways detected, contribute to improving our understanding of the mechanisms underlying tick resistance in naturally adapted cattle breeds. Furthermore, the differentially abundant proteins detected in this study are potential biomarkers for the response to R. microplus infestation.

BMC GenomicsVol. 26(1)
University of Connecticut (US), University of Georgia (US), Universidade de São Paulo (BR), National Beef Cattle Industrial Technology System (CN), Saint Joseph's University (US)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 12%
Vector-borne infectious diseases
2.05
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