ArticleJournal of applied genetics2015
The characteristics of the porcine (Sus scrofa) liver miRNAome with the use of next generation sequencing.
Article in Journal of applied genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Mitochondrial supplementation of Sus scrofa metaphase II oocytes alters DNA methylation and gene expression profiles of blastocysts.Epigenetics & chromatin · 2022Article
- miRNA-Profiling in Ejaculated and Epididymal Pig Spermatozoa and Their Relation to Fertility after Artificial Insemination.Biology · 2022Article
- Sus scrofa miR-204 and miR-4331 Negatively Regulate Swine H1N1/2009 Influenza A Virus Replication by Targeting Viral HA and NS, Respectively.International journal of molecular sciences · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are a class of small, noncoding RNAs, which play a vital role in the regulation of gene expression by binding to the 3' untranslated region (3'UTR) of a target mRNA. Despite a significant improvement in the identification of miRNAs in a variety of species, the coverage of the porcine miRNAome is still scarce. To identify porcine miRNAs potentially regulating processes taking place in the liver, we applied next generation sequencing. As a result, we detected 206 distinct miRNAs, of which 68 represented potential novel miRNAs. Among these new miRNAs, there were miRNAs deriving from the opposite arm of a hairpin precursor of already known miRNAs. Moreover, we observed 3' and 5' length and sequence variants, probably constituting so called isomiRs, as well as differentially mapped precursor loci, alternative precursor sequences and clustering of miRNA encoding genes. On the basis of expression levels, reflected by the number of sequence reads, we identified the most abundant miRNAs followed by gene target prediction and pathway analysis. The enriched pathways were connected with cellular and metabolic processes, growth factors as well as enzymatic activity. The obtained results are the first ones to concern the porcine liver miRNAome. Consequently, they will increase the number of known porcine miRNAs and facilitate further research on gene regulation mechanisms as well as biological processes associated with the liver functioning in pigs.
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Registered trials
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