Evidence map›Paper›PMID 38730318›Full record

ArticleBMC research notes2024

Dataset of seminal plasma proteome of Nellore bulls with high and low percentage of abnormalities sperm.

Camilo Jose Ramirez-Lopez, Edvaldo Barros, Pedro Marcus Vidigal, Lidiany Lopes Gomes, Maria Cristina Baracat-Pereira, Simone Eliza Facioni Guimarães, José Domingos Guimarães

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Camilo Jose Ramirez-LopezLaboratory of Animal Reproduction, Department of Veterinary Medicine, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil. camilo.lopez@ufv.br.
Edvaldo BarrosNúcleo de Análise de Biomoléculas, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil.
Pedro Marcus VidigalNúcleo de Análise de Biomoléculas, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil.
Lidiany Lopes GomesLaboratory of Animal Reproduction, Department of Veterinary Medicine, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil.
Maria Cristina Baracat-PereiraLaboratory of Proteomics and Protein Biochemistry, Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil.
Simone Eliza Facioni GuimarãesLaboratory of Animal Biotechnology, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil.
José Domingos GuimarãesLaboratory of Animal Reproduction, Department of Veterinary Medicine, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 3657-9000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBovine seminal plasma proteins perform several functions related to sperm function. Changes in the expression pattern or abundance of seminal proteins are related to changes in the fertilizing capacity of bulls. Considering the role of seminal plasma proteins in sperm function and animal reproduction, we investigated changes in the protein abundance profile in response to sperm morphological changes using a proteomic approach. DATADESCRIPTION: In our present investigation, we employed liquid chromatography coupled with mass spectrometry to elucidate the proteomic composition of seminal plasma obtained from Nellore bulls exhibiting varying percentages of sperm abnormalities. Following semen collection, seminal plasma was promptly isolated from sperm, and proteins were subsequently precipitated, enzymatically digested using porcine trypsin, and subjected to analysis utilizing the Acquity nano UHPLC System in conjunction with a mass spectrometer. This dataset encompasses a total of 297 proteins, marking the inaugural instance in which a comparative profile of seminal plasma proteins in young Nellore bulls, categorized by their sperm abnormality percentages, has been delineated using LC-MS/MS. The comprehensive nature of this dataset contributes pivotal proteomic insights, representing a noteworthy advancement in our understanding of the reproductive biology of the Nellore breed.

Indexed as

ProteomeSemenSpermatozoaAnimalsCattleChromatography, LiquidMaleProteomicsSeminal Plasma ProteinsTandem Mass SpectrometryProteomeSeminal Plasma ProteinsBos indicusBovineMass spectrometryProteomicSemenSire

Identifiers

PMID38730318
PMCPMC11088141

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