Evidence map›Paper›PMID 41114291›Full record

ArticleData in brief2025

SWATH-MS proteomics data on differentially abundant proteins between normal and dark-cutting beef.

Laura González-Blanco, Mamen Oliván, Yolanda Diñeiro, Susana B Bravo, Verónica Sierra, Mohammed Gagaoua

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2025. 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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0citing papers 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

6 authors.

Laura González-BlancoÁrea de Sistemas de Producción Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA#@SERIDA_info), Ctra. AS-267, PK 19, 33300 Villaviciosa, Spain.
Mamen OlivánÁrea de Sistemas de Producción Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA#@SERIDA_info), Ctra. AS-267, PK 19, 33300 Villaviciosa, Spain.
Yolanda DiñeiroÁrea de Sistemas de Producción Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA#@SERIDA_info), Ctra. AS-267, PK 19, 33300 Villaviciosa, Spain.
Susana B BravoProteomic Platform, Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain.
Verónica SierraÁrea de Sistemas de Producción Animal, Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA#@SERIDA_info), Ctra. AS-267, PK 19, 33300 Villaviciosa, Spain.
Mohammed GagaouaPEGASE, INRAE, Institut Agro, 35590 Saint-Gilles, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dark, firm, and dry (DFD) beef, also known as dark-cutting beef, lead to economic losses, food waste, and potential consumer rejection due to its very dark color at the point of sale. This condition is associated with a high ultimate pH, a limited blooming capacity, a redder cooked color that appears undercooked, and increased spoilage rates. Although several pre-slaughter factors have been linked to high ultimate pH, the mechanisms underlying DFD beef remain complex, multifactorial and not yet fully understood [1]. Proteomic approaches on

Indexed as

Beef quality defectsBovine muscleHigh muscle pH beefMuscle proteomePost-mortemProtein biomarkers

Identifiers

PMID41114291
PMCPMC12528932

What OpenQuestion holds

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Registered trials

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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.