ArticleInternational journal of molecular sciences2013
Systems biology approach to the dissection of the complexity of regulatory networks in the S. scrofa cardiocirculatory system.
Article in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
- Expression and Regulation Profile of Mature MicroRNA in the Pig: Relevance to Xenotransplantation.BioMed research international · 2018Review
- Altered gene transcription in human cells treated with Ludox® silica nanoparticles.International journal of environmental research and public health · 2014Article
- Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genome-wide experiments are routinely used to increase the understanding of the biological processes involved in the development and maintenance of a variety of pathologies. Although the technical feasibility of this type of experiment has improved in recent years, data analysis remains challenging. In this context, gene set analysis has emerged as a fundamental tool for the interpretation of the results. Here, we review strategies used in the gene set approach, and using datasets for the pig cardiocirculatory system as a case study, we demonstrate how the use of a combination of these strategies can enhance the interpretation of results. Gene set analyses are able to distinguish vessels from the heart and arteries from veins in a manner that is consistent with the different cellular composition of smooth muscle cells. By integrating microRNA elements in the regulatory circuits identified, we find that vessel specificity is maintained through specific miRNAs, such as miR-133a and miR-143, which show anti-correlated expression with their mRNA targets.
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Registered trials
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