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Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments.


ABSTRACT: Competitive endogenous (ce)RNAs cross-regulate each other through sequestration of shared microRNAs and form complex regulatory networks based on their microRNA signature. However, the molecular requirements for ceRNA cross-regulation and the extent of ceRNA networks remain unknown. Here, we present a mathematical mass-action model to determine the optimal conditions for ceRNA activity in silico. This model was validated using phosphatase and tensin homolog (PTEN) and its ceRNA VAMP (vesicle-associated membrane protein)-associated protein A (VAPA) as paradigmatic examples. A computational assessment of the complexity of ceRNA networks revealed that transcription factor and ceRNA networks are intimately intertwined. Notably, we found that ceRNA networks are responsive to transcription factor up-regulation or their aberrant expression in cancer. Thus, given optimal molecular conditions, alterations of one ceRNA can have striking effects on integrated ceRNA and transcriptional networks.

SUBMITTER: Ala U 

PROVIDER: S-EPMC3645534 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments.

Ala Ugo U   Karreth Florian A FA   Bosia Carla C   Pagnani Andrea A   Taulli Riccardo R   Léopold Valentine V   Tay Yvonne Y   Provero Paolo P   Zecchina Riccardo R   Pandolfi Pier Paolo PP  

Proceedings of the National Academy of Sciences of the United States of America 20130327 18


Competitive endogenous (ce)RNAs cross-regulate each other through sequestration of shared microRNAs and form complex regulatory networks based on their microRNA signature. However, the molecular requirements for ceRNA cross-regulation and the extent of ceRNA networks remain unknown. Here, we present a mathematical mass-action model to determine the optimal conditions for ceRNA activity in silico. This model was validated using phosphatase and tensin homolog (PTEN) and its ceRNA VAMP (vesicle-ass  ...[more]

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