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  1. Home
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Browsing by Subject "Proteome"

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    Characterization of the porcine seminal plasma proteome comparing ejaculate portions
    (2016-06-16) Pérez Patiño, Cristina; Barranco, Isabel; Parrilla, Inmaculada; Valero, M. Luz; Martínez, Emilio A.; Rodríguez Martínez, Heriberto; Roca, Jordi; Medicina y Cirugía Animal
    Full identification of boar seminal plasma (SP) proteins remains challenging. This study aims to provide an extensive proteomic analysis of boar SP and to generate an accessible database of boar SP-proteome. A SP-pool (33entire ejaculates/11 boars; 3ejaculates/boar) was analyzed to characterize the boar SP-proteome. Twenty ejaculates (5 boars, 4ejaculates/boar) collected in portions (P1: first 10mL of sperm rich ejaculate fraction (SRF), P2: rest of SRF and P3: post-SRF) were analyzed to evaluate differentially expressed SP-proteins among portions. SP-samples were analyzed using a combination of SEC, 1-D SDS PAGE and NanoLC-ESI-MS/MS followed by functional bioinformatics. The identified proteins were quantified from normalized LFQ intensity data. A total of 536 SP-proteins were identified, 409 of them in Sus scrofa taxonomy (374 validated with ≥99% confidence). Barely 20 of the identified SP-proteins were specifically implicated in reproductive processes, albeit other SP-proteins could be indirectly involved in functionality and fertility of boar spermatozoa. Thirty-four proteins (16 identified in S. scrofa taxonomy) were differentially expressed among ejaculate portions, 16 being over-expressed and 18 under-expressed in P1-P2 regarding to P3. This major proteome mapping of the boar SP provides a complex inventory of proteins with potential roles as sperm function- and fertility- biomarkers. Biological significance: This proteomic study provides the major characterization of the boar SP-proteome with >250 proteins first reported. The boar SP-proteome is described so that a spectral library can be built for relative 'label free' protein quantification with SWATH approach. This proteomic profiling allows the creation of a publicly accessible database of the boar SP-proteome, as a first step for further understanding the role of SP-proteins in reproductive outcomes as well as for the identification of biomarkers for sperm quality and fertility.
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    Extensive dataset of boar seminal plasma proteome displaying putative reproductive functions of identified proteins
    (Elsevier, 2016-07-29) Pérez-Patiño, Cristina; Barranco, Isabel; Parrilla, Inmaculada; Martínez, Emilio A.; Rodríguez-Martínez, Heriberto; Roca, Jordi; Medicina y Cirugía Animal
    A complete proteomic profile of seminal plasma (SP) remains challenging, particularly in porcine. The data reports on the analysis of boar SP-proteins by using a combination of SEC, 1-D SDS PAGE and NanoLC-ESI-MS/MS from 33 pooled SP-samples (11 boars, 3 ejaculates/boar). A complete dataset of the 536 SP-proteins identified and validated with confidence ≥95% (Unused Score >1.3) and a false discovery rate (FDR) ≤1%, is provided. In addition, the relative abundance of 432 of them is also shown. Gene ontology annotation of the complete SP-proteome complemented by an extensive description of the putative reproductive role of SP-proteins, providing a valuable source for a better understanding of SP role in the reproductive success. This data article refers to the article entitled "Characterization of the porcine seminal plasma proteome comparing ejaculate portions" (Perez-Patiño et al., 2016) [1].
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    New in-depth analytical approach of the porcine seminal plasma proteome reveals potential fertility biomarkers
    (American Chemical Society, 2018-02-07) Pérez Patiño, Cristina; Parrilla Riera, Inmaculada; Barranco Cascales, Isabel; Vergara Barberán, María; Simó Alfonso, Ernesto F.; Herrero Martínez, José M.; Rodríguez Martínez, Heriberto; Martínez García, Emilio; Roca Aleu, Jorge; Medicina y Cirugía Animal
    A complete characterization of the proteome of seminal plasma (SP) is an essential step to understand how SP influences sperm function and fertility after artificial insemination (AI). The purpose of this study was to identify which among characterized proteins in boar SP were differently expressed among AI boars with significantly different fertility outcomes. A total of 872 SP proteins, 390 of them belonging specifically to Sus Scrofa taxonomy, were identified (Experiment 1) by using a novel proteomic approach that combined size exclusion chromatography and solid-phase extraction as prefractionation steps prior to Nano LC-ESI-MS/MS analysis. The SP proteomes of 26 boars showing significant differences in farrowing rate (n = 13) and litter size (n = 13) after the AI of 10 526 sows were further analyzed (Experiment 2). A total of 679 SP proteins were then quantified by the SWATH approach, where the penalized linear regression LASSO revealed differentially expressed SP proteins for farrowing rate (FURIN, AKR1B1, UBA1, PIN1, SPAM1, BLMH, SMPDL3A, KRT17, KRT10, TTC23, and AGT) and litter size (PN-1, THBS1, DSC1, and CAT). This study extended our knowledge of the SP proteome and revealed some SP proteins as potential biomarkers of fertility in AI boars.

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