Evidence map›Paper›PMID 29658965›Full record

ArticleGenetics and molecular biology

A comprehensive transcriptome analysis of skeletal muscles in two Polish pig breeds differing in fat and meat quality traits.

Katarzyna Piórkowska, Kacper Żukowski, Katarzyna Ropka-Molik, Mirosław Tyra, Artur Gurgul

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  11. Cloning and Transcriptional Activity Analysis of the BovineAnimals : an open access journal from MDPI · 2025
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  18. The Effect of the Feeding System on Fat Deposition in Yak Subcutaneous Fat.International journal of molecular sciences · 2023
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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

5 authors at 1 institution in 1 country.

Katarzyna PiórkowskaDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.ORCID http://orcid.org/0000-0002-4368-9624
Kacper ŻukowskiDepartment of Cattle Breeding, National Research Institute of Animal Production, Balice, Poland.
Katarzyna Ropka-MolikDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.
Mirosław TyraDepartment of Pig Breeding, National Research Institute of Animal Production, Balice, Poland.
Artur GurgulDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.
National Research Institute of Animal Production · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pork is the most popular meat in the world. Unfortunately, the selection pressure focused on high meat content led to a reduction in pork quality. The present study used RNA-seq technology to identify metabolic process genes related to pork quality traits and fat deposition. Differentially expressed genes (DEGs) were identified between pigs of Pulawska and Polish Landrace breeds for two the most important muscles (semimembranosus and longissimus dorsi). A total of 71 significant DEGs were reported: 15 for longissimus dorsi and 56 for semimembranosus muscles. The genes overexpressed in Pulawska pigs were involved in lipid metabolism (APOD, LXRA, LIPE, AP2B1, ENSSSCG00000028753 and OAS2) and proteolysis (CST6, CTSD, ISG15 and UCHL1). In Polish Landrace pigs, genes playing a role in biological adhesion (KIT, VCAN, HES1, SFRP2, CDH11, SSX2IP and PCDH17), actin cytoskeletal organisation (FRMD6, LIMK1, KIF23 and CNN1) and calcium ion binding (PVALB, CIB2, PCDH17, VCAN and CDH11) were transcriptionally more active. The present study allows for better understanding of the physiological processes associated with lipid metabolism and muscle fiber organization. This information could be helpful in further research aiming to estimate the genetic markers.

Identifiers

PMID29658965
PMCPMC5901489
OpenAlexW2797714572

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.