ArticleTheory in biosciences = Theorie in den Biowissenschaften2011
A model-based strategy to investigate the role of microRNA regulation in cancer signalling networks.
Article in Theory in biosciences = Theorie in den Biowissenschaften, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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.
Who cites it
4 citing papers in PubMed, 18 citations in OpenAlex.
- Computer simulation models as a tool to investigate the role of microRNAs in osteoarthritis.PloS one · 2017Article
- A systems' biology approach to study microRNA-mediated gene regulatory networks.BioMed research international · 2013Article
- Computational analysis of target hub gene repression regulated by multiple and cooperative miRNAs.Nucleic acids research · 2012Article
- Emerging modelling methodologies in medicine and biology, Introduction to the special issue.Theory in biosciences = Theorie in den Biowissenschaften · 2011Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper we present and discuss a model-based approach to link miRNA translational control with cell signalling networks. MicroRNAs are small regulatory RNAs that are able to regulate the activity and the stability of specific messenger RNA and have been implicated in tumour progression due to their ability to translationally regulate critical oncogenes and tumour suppressors. In our approach, data on protein-protein interactions and miRNA regulation, obtained from bioinformatics databases, are integrated with quantitative experimental data using mathematical modelling. Predictive computational simulations and qualitative (bifurcation) analyses of those mathematical models are employed to further support the investigation of such multifactorial networks in the context of cancer progression. We illustrate our approach with the C-Myc/E2F signalling network, involved in the progression of several tumour subtypes, including colorectal cancer.
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Registered trials
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.