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Dynamic recruitment of microRNAs to their mRNA targets in the regenerating liver

Schug, Jonathan, McKenna, Lindsay B, Walton, Gabriel, Hand, Nicholas, Mukherjee, Sarmistha, Essuman, Kow, Shi, Zhongjie, Gao, Yan, Markley, Karen, Nakagawa, Momo, Kameswaran, Vasumathi, Vourekas, Anastassios, Friedman, Joshua R, Kaestner, Klaus H, Greenbaum, Linda E·2013·BMC Genomics
DOI 10.1186/1471-2164-14-264PMC PMC3639193
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Abstract

Background: Validation of physiologic miRNA targets has been met with significant challenges. We employed HITS-CLIP to identify which miRNAs participate in liver regeneration, and to identify their target mRNAs. Results: miRNA recruitment to the RISC is highly dynamic, changing more than five-fold for several miRNAs. miRNA recruitment to the RISC did not correlate with changes in overall miRNA expression for these dynamically recruited miRNAs, emphasizing the necessity to determine miRNA recruitment to the RISC in order to fully assess the impact of miRNA regulation. We incorporated RNA-seq quantification of total mRNA to identify expression-weighted Ago footprints, and developed a microRNA regulatory element (MRE) prediction algorithm that represents a greater than 20-fold refinement over computational methods alone. These high confidence MREs were used to generate candidate ‘competing endogenous RNA’ (ceRNA) networks. Conclusion: HITS-CLIP analysis provide novel insights into global miRNA:mRNA relationships in the regenerating liver.

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Metadata

Authors
Schug, J., McKenna, L. B., Walton, G., Hand, N., Mukherjee, S., Essuman, K., Shi, Z., Gao, Y., Markley, K., Nakagawa, M., Kameswaran, V., Vourekas, A., Friedman, J. R., Kaestner, K. H., & Greenbaum, L. E.
Venue
BMC Genomics
Publisher
Springer Science and Business Media LLC
Published
2013-04-18
Volume
14
Issue
1
ISSN
1471-2164
DOI
10.1186/1471-2164-14-264
PMC
PMC3639193
Cited by
66
References
5
Language
en

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