Evidence map›Paper›PMID 32630492›Full record

ArticleGenes2020

Differentially Expressed miRNA-Gene Targets Related to Intramuscular Fat in Musculus Longissimus Dorsi of Charolais × Holstein F

Bilal Ahmad Mir, Henry Reyer, Katrin Komolka, Siriluck Ponsuksili, Christa Kühn, Steffen Maak

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 14 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 1 institution in 1 country.

Bilal Ahmad MirInstitute of Muscle Biology and Growth, Leibniz Institute for Farm Animal Biology (FBN), D-18196 Dummerstorf, Germany.ORCID 0000-0002-8194-5991
Henry ReyerInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), D-18196 Dummerstorf, Germany.ORCID 0000-0001-6470-0434
Katrin KomolkaInstitute of Muscle Biology and Growth, Leibniz Institute for Farm Animal Biology (FBN), D-18196 Dummerstorf, Germany.
Siriluck PonsuksiliInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), D-18196 Dummerstorf, Germany.ORCID 0000-0003-4714-1057
Christa KühnInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), D-18196 Dummerstorf, Germany.ORCID 0000-0002-0216-424X
Steffen MaakInstitute of Muscle Biology and Growth, Leibniz Institute for Farm Animal Biology (FBN), D-18196 Dummerstorf, Germany.ORCID 0000-0003-2681-1496
Research Institute for Farm Animal Biology (FBN) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intramuscular fat (IMF) is a meat quality indicator associated with taste and juiciness. IMF deposition, influenced by genetic and non-genetic factors, occurs through a transcriptionally coordinated process of adipogenesis. MicroRNAs (miRNAs) are transcriptional regulators of vital biological processes, including lipid metabolism and adipogenesis. However, in bovines, limited data on miRNA profiling and association with divergent intramuscular fat content, regulated exclusively by genetic parameters, have been reported. Here, a microarray experiment was performed to identify and characterize the miRNA expression pattern in the Musculus longissimus dorsi of F

Indexed as

Computational BiologyAdipogenesisAnimalsCattleGene Expression RegulationLipid MetabolismMaleMeatMicroRNAsMicroRNAsadipogenesisbioinformaticsintramuscular fatlipid metabolismmicroarraymiRNA

Identifiers

PMID32630492
PMCPMC7348786
OpenAlexW3037657136

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.