Evidence map›Paper›PMID 24699212›Full record

ArticlePloS one2014

Tissue-specific expression and regulatory networks of pig microRNAome.

Paolo Martini, Gabriele Sales, Mattia Brugiolo, Alessandro Gandaglia, Filippo Naso, Cristiano De Pittà, Michele Spina, Gino Gerosa, Francesco Chemello, Chiara Romualdi and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 31 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

12 authors at 1 institution in 1 country.

Paolo MartiniDepartment of Biology, University of Padova, Padova, Italy; CRIBI Biotechnology Centre, University of Padova, Padova, Italy.
Gabriele SalesDepartment of Biology, University of Padova, Padova, Italy.
Mattia BrugioloDepartment of Biology, University of Padova, Padova, Italy; CRIBI Biotechnology Centre, University of Padova, Padova, Italy.
Alessandro GandagliaDepartment of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy.
Filippo NasoDepartment of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy.
Cristiano De PittàDepartment of Biology, University of Padova, Padova, Italy.
Michele SpinaDepartment of Biomedical Sciences, University of Padova, Padova, Italy.
Gino GerosaDepartment of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy.
Francesco ChemelloDepartment of Biology, University of Padova, Padova, Italy.
Chiara RomualdiDepartment of Biology, University of Padova, Padova, Italy.
Stefano CagninDepartment of Biology, University of Padova, Padova, Italy; CRIBI Biotechnology Centre, University of Padova, Padova, Italy.
Gerolamo LanfranchiDepartment of Biology, University of Padova, Padova, Italy; CRIBI Biotechnology Centre, University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the economic and medical importance of the pig, knowledge about its genome organization, gene expression regulation, and molecular mechanisms involved in physiological processes is far from that achieved for mouse and rat, the two most used model organisms in biomedical research. MicroRNAs (miRNAs) are a wide class of molecules that exert a recognized role in gene expression modulation, but only 280 miRNAs in pig have been characterized to date.

resultsWe applied a novel computational approach to predict species-specific and conserved miRNAs in the pig genome, which were then subjected to experimental validation. We experimentally identified candidate miRNAs sequences grouped in high-confidence (424) and medium-confidence (353) miRNAs according to RNA-seq results. A group of miRNAs was also validated by PCR experiments. We established the subtle variability in expression of isomiRs and miRNA-miRNA star couples supporting a biological function for these molecules. Finally, miRNA and mRNA expression profiles produced from the same sample of 20 different tissue of the animal were combined, using a correlation threshold to filter miRNA-target predictions, to identify tissue-specific regulatory networks.

conclusionsOur data represent a significant progress in the current understanding of miRNAome in pig. The identification of miRNAs, their target mRNAs, and the construction of regulatory circuits will provide new insights into the complex biological networks in several tissues of this important animal model.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksAnimalsBase PairingBase SequenceBiomarkersComputational BiologyHigh-Throughput Nucleotide SequencingMiceMicroRNAsMolecular Sequence DataOrgan SpecificityRatsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerBiomarkersMicroRNAsRNA, Messenger

Identifiers

PMID24699212
PMCPMC3974652
OpenAlexW2090297020

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.