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Vertebrate reproductive science and technology
RESEARCH ARTICLE

Quantitative proteomic analysis of heifer serum at the peri-implantation period using two complementary methods

Jimena Inés Ruiz Álvarez A , Juan Manuel Teijeiro A B , Caroline Evans C and Patricia Estela Marini https://orcid.org/0000-0002-3064-1808 A *
+ Author Affiliations
- Author Affiliations

A Laboratorio de Medicina Reproductiva, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina.

B Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Buenos Aires, Argentina.

C Department Chemical and Biological Engineering, Bioanalytical Facility, University of Sheffield, Sheffield, UK.

* Correspondence to: pmarini@fbioyf.unr.edu.ar

Handling Editor: Gilles Charpigny

Reproduction, Fertility and Development 35(6) 416-421 https://doi.org/10.1071/RD22228
Published online: 27 February 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context: Systemic events resulting from mother-embryo relation at the peri-implantation period may result in specific changes to the protein composition of serum and thus provide a source of biomarkers for early detection of pregnancy.

Aims: We set out to use two different quantitative proteomic approaches to test this hypothesis by comparing heifer serum at the peri-implantation period to that from cycling heifers.

Methods: Two-dimensional electrophoresis (2-DE) and isobaric tags were used for relative and absolute quantitation (iTRAQ) of proteins.

Key results: These methods yielded complementary data indicating biomarker candidate proteins.

Conclusions: Different proteomic methods provide different and complementary information that needs to be analysed in order to consider proteins as potential biomarkers.

Implications: In order to characterise the proteome under specific conditions, the use of complementary techniques is advisable.

Keywords: bidimentional electrophoresis, biomarker, cow, iTRAQ, pregnancy, protein, proteome, serum biomarker.


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