Evidence map›Paper›PMID 36496858›Full record

ArticleAnimals : an open access journal from MDPI2022

A Label-Free Quantitative Analysis for the Search of Proteomic Differences between Goat Breeds.

Alessio Di Luca, Andrea Ianni, Francesca Bennato, Michael Henry, Paula Meleady, Giuseppe Martino

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Alessio Di LucaDepartment of Bioscience and Agro-Food and Environmental Technology, University of Teramo, 64100 Teramo, Italy.ORCID 0000-0003-4988-6407
Andrea IanniDepartment of Bioscience and Agro-Food and Environmental Technology, University of Teramo, 64100 Teramo, Italy.ORCID 0000-0003-3102-6804
Francesca BennatoDepartment of Bioscience and Agro-Food and Environmental Technology, University of Teramo, 64100 Teramo, Italy.ORCID 0000-0001-9030-4881
Michael HenryNational Institute for Cellular Biotechnology, Dublin City University, Dublin 9, D09 DX63 Dublin, Ireland.
Paula MeleadyNational Institute for Cellular Biotechnology, Dublin City University, Dublin 9, D09 DX63 Dublin, Ireland.
Giuseppe MartinoDepartment of Bioscience and Agro-Food and Environmental Technology, University of Teramo, 64100 Teramo, Italy.ORCID 0000-0002-7878-9318
University of Teramo · ITDublin City University · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intensification and standardization of livestock farming are causing a decline in the number of animal breeds in many species, such as the goat. The availability of more studies on the potentiality of goat breeds could raise awareness of their importance, conservation and productive possibilities. Label-free quantitative analysis was applied in this study to investigate the proteomic differences between the autochthon Teramana and Saanen goats that could be useful for defining peculiar features of these breeds. A total of 2093 proteins were characterized in the muscle exudate proteome of the Teramana and Saanen breeds. A total of 41 proteins clearly separated the two breeds. Eukaryotic initiation factor proteins and aldehyde-dehydrogenase 7 family-member A1 were up-regulated in the autochthon breed and associated with its resilience, whereas catalase was down-regulated and associated with lower muscular mass. This study is the most detailed report of goat muscle proteome. Several differentially regulated proteins between the two breeds were identified, providing insights into functional pathways that define this organism and its biology.

Indexed as

biodiversityexudategoatlabel-free quantificationmuscleproteomics

Identifiers

PMID36496858
PMCPMC9740416
OpenAlexW4311003830

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.