Skip to main navigation Skip to search Skip to main content

Precise let-7 expression levels balance organ regeneration against tumor suppression

  • Linwei Wu
  • , Liem H. Nguyen
  • , Kejin Zhou
  • , T. De Yvanka Soysa
  • , Lin Li
  • , Jason B. Miller
  • , Jianmin Tian
  • , Joseph Locker
  • , Shuyuan Zhang
  • , Gen Shinoda
  • , Marc T. Seligson
  • , Lauren R. Zeitels
  • , Asha Acharya
  • , Sam C. Wang
  • , Joshua T. Mendell
  • , Xiaoshun He
  • , Jinsuke Nishino
  • , Sean J. Morrison
  • , Daniel J. Siegwart
  • , George Q. Daley
  • Ng Shyh-Chang, Hao Zhu

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

The in vivo roles for even the most intensely studied microRNAs remain poorly defined. Here, analysis of mouse models revealed that let-7, a large and ancient microRNA family, performs tumor suppressive roles at the expense of regeneration. Too little or too much let-7 resulted in compromised protection against cancer or tissue damage, respectively. Modest let-7 overexpression abrogated MYC-driven liver cancer by antagonizing multiple let-7 sensitive oncogenes. However, the same level of overexpression blocked liver regeneration, while let-7 deletion enhanced it, demonstrating that distinct let-7 levels can mediate desirable phenotypes. let-7 dependent regeneration phenotypes resulted from influences on the insulin-PI3K-mTOR pathway. We found that chronic high-dose let-7 overexpression caused liver damage and degeneration, paradoxically leading to tumorigenesis. These dose-dependent roles for let-7 in tissue repair and tumorigenesis rationalize the tight regulation of this microRNA in development, and have important implications for let-7 based therapeutics.

Original languageEnglish
Article numbere09431
JournaleLife
Volume4
Issue numberOCTOBER2015
DOIs
StatePublished - 7 Oct 2015
Externally publishedYes

Fingerprint

Dive into the research topics of 'Precise let-7 expression levels balance organ regeneration against tumor suppression'. Together they form a unique fingerprint.

Cite this