Systematic discovery of structural elements governing stability of mammalian messenger RNAs.

Systematic discovery of structural elements governing stability of mammalian messenger RNAs.
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DOI:
10.1038/nature11013
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发表时间:
2012-04-08
期刊:
影响因子:
64.8
通讯作者:
Tavazoie, Saeed
Tavazoie, Saeed
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Goodarzi, Hani;Najafabadi, Hamed S.;Oikonomou, Panos;Greco, Todd M.;Fish, Lisa;Salavati, Reza;Cristea, Ileana M.;Tavazoie, Saeed

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Decoding post-transcriptional regulatory programs in RNA is a critical step in the larger goal to develop predictive dynamical models of cellular behavior. Despite recent efforts, the vast landscape of RNA regulatory elements remain largely uncharacterized. A longstanding obstacle is the contribution of local RNA secondary structure in defining interaction partners in a variety of regulatory contexts, including but not limited to transcript stability, alternative splicing and localization. There are many documented instances where the presence of a structural regulatory element dictates alternative splicing patterns (e.g. human cardiac troponin T) or affects other aspects of RNA biology. Thus, a full characterization of post-transcriptional regulatory programs requires capturing information provided by both local secondary structures and the underlying sequence. We have developed a computational framework based on context-free grammars and mutual information that systematically explores the immense space of small structural elements and reveals motifs that are significantly informative of genome-wide measurements of RNA behavior. The application of this framework to genome-wide mammalian mRNA stability data revealed eight highly significant elements with substantial structural information, for the strongest of which we showed a major role in global mRNA regulation. Through biochemistry, mass-spectrometry, and in vivo binding studies, we identified HNRPA2B1 as the key regulator that binds this element and stabilizes a large number of its target genes. Ultimately, we created a global post-transcriptional regulatory map based on the identity of the discovered linear and structural cis-regulatory elements, their regulatory interactions and their target pathways. This approach can also be employed to reveal the structural elements that modulate other aspects of RNA behavior.
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