IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v482y2012i7385d10.1038_nature10887.html
   My bibliography  Save this article

Modular regulatory principles of large non-coding RNAs

Author

Listed:
  • Mitchell Guttman

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology)

  • John L. Rinn

    (Broad Institute of MIT and Harvard
    Stem Cell and Regenerative Biology, Harvard University)

Abstract

It is clear that RNA has a diverse set of functions and is more than just a messenger between gene and protein. The mammalian genome is extensively transcribed, giving rise to thousands of non-coding transcripts. Whether all of these transcripts are functional is debated, but it is evident that there are many functional large non-coding RNAs (ncRNAs). Recent studies have begun to explore the functional diversity and mechanistic role of these large ncRNAs. Here we synthesize these studies to provide an emerging model whereby large ncRNAs might achieve regulatory specificity through modularity, assembling diverse combinations of proteins and possibly RNA and DNA interactions.

Suggested Citation

  • Mitchell Guttman & John L. Rinn, 2012. "Modular regulatory principles of large non-coding RNAs," Nature, Nature, vol. 482(7385), pages 339-346, February.
    • Handle: RePEc:nat:nature:v:482:y:2012:i:7385:d:10.1038_nature10887
    DOI: 10.1038/nature10887
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature10887
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature10887?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Harshita Sharma & Matthew N. Z. Valentine & Naoko Toki & Hiromi Nishiyori Sueki & Stefano Gustincich & Hazuki Takahashi & Piero Carninci, 2024. "Decryption of sequence, structure, and functional features of SINE repeat elements in SINEUP non-coding RNA-mediated post-transcriptional gene regulation," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    2. Roberta Esposito & Andrés Lanzós & Tina Uroda & Sunandini Ramnarayanan & Isabel Büchi & Taisia Polidori & Hugo Guillen-Ramirez & Ante Mihaljevic & Bernard Mefi Merlin & Lia Mela & Eugenio Zoni & Lusin, 2023. "Tumour mutations in long noncoding RNAs enhance cell fitness," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    3. Weiwei Han & Zhenyu Zhang & Bangshun He & Yijun Xu & Jun Zhang & Weijun Cao, 2017. "Integrated analysis of long non-coding RNAs in human gastric cancer: An in silico study," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-12, August.
    4. Christian Much & Erika L. Lasda & Isabela T. Pereira & Tenaya K. Vallery & Daniel Ramirez & Jordan P. Lewandowski & Robin D. Dowell & Michael J. Smallegan & John L. Rinn, 2024. "The temporal dynamics of lncRNA Firre-mediated epigenetic and transcriptional regulation," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    5. Lihui Liu & Ziyang Liu & Qinghua Liu & Wei Wu & Peng Lin & Xing Liu & Yuechuan Zhang & Dongpeng Wang & Briana C. Prager & Ryan C. Gimple & Jichuan Yu & Weixi Zhao & Qiulian Wu & Wei Zhang & Erzhong Wu, 2023. "LncRNA INHEG promotes glioma stem cell maintenance and tumorigenicity through regulating rRNA 2’-O-methylation," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    6. Shivali Patel & Alec N. Sexton & Madison S. Strine & Craig B. Wilen & Matthew D. Simon & Anna Marie Pyle, 2023. "Systematic detection of tertiary structural modules in large RNAs and RNP interfaces by Tb-seq," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    7. Tian Tian & Chunjian Li & Jing Xiao & Yi Shen & Yihua Lu & Liying Jiang & Xun Zhuang & Minjie Chu, 2016. "Quantitative Assessment of the Polymorphisms in the HOTAIR lncRNA and Cancer Risk: A Meta-Analysis of 8 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-11, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:482:y:2012:i:7385:d:10.1038_nature10887. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.