Chromodomains are protein-RNA interaction modules

被引:298
|
作者
Akhtar, A
Zink, D
Becker, PB [1 ]
机构
[1] Univ Munich, Adolf Butenandt Inst, D-80336 Munich, Germany
[2] Univ Munich, Inst Anthropol & Humangenet, D-80336 Munich, Germany
关键词
D O I
10.1038/35030169
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In Drosophila, compensation for the reduced dosage of genes located on the single male X chromosome involves doubling their expression in relation to their counterparts on female X chromosomes(1). Dosage compensation is an epigenetic process involving the specific acetylation of histone H4 at lysine 16 by the histone acetyltransferase MOF2-5. Although MOF is expressed in both sexes, it only associates with the X chromosome in males. Its absence causes male-specific lethality(6). MOF is part of a chromosome-associated complex comprising male-specific lethal (MSL) proteins and at least one non-coding roX RNA(7). How MOF is integrated into the dosage compensation complex is unknown. Here we show that association of MOF with the male X chromosome depends on its interaction with RNA. MOF specifically binds through its chromodomain to roX2 RNA in vivo. In vitro analyses of the MOF and MSL-3 chromodomains indicate that these chromodomains may function as RNA interaction modules. Their interaction with non-coding RNA may target regulators to specific chromosomal sites.
引用
收藏
页码:405 / 409
页数:6
相关论文
共 50 条
  • [21] Modeling Protein-RNA Complexes
    Sim, Adelene
    Chen, Jinglin
    Bernauer, Julie
    BIOPHYSICAL JOURNAL, 2016, 110 (03) : 241A - 241A
  • [22] STRUCTURE OF TOMATO BUSHY STUNT VIRUS - MODEL FOR PROTEIN-RNA INTERACTION
    CHAUVIN, C
    WITZ, J
    JACROT, B
    JOURNAL OF MOLECULAR BIOLOGY, 1978, 124 (04) : 641 - 651
  • [23] Inducible Control of Subcellular RNA Localization Using a Synthetic Protein-RNA Aptamer Interaction
    Belmont, Brian J.
    Niles, Jacquin C.
    PLOS ONE, 2012, 7 (10):
  • [24] Discovery of protein-RNA networks
    Cirillo, Davide
    Maria Livi, Carmen
    Agostini, Federico
    Gaetano Tartaglia, Gian
    MOLECULAR BIOSYSTEMS, 2014, 10 (07) : 1632 - 1642
  • [25] An optical method for the detection of oxidative stress using protein-RNA interaction
    Lisdat, F
    Utepbergenov, D
    Haseloff, RF
    Blasig, IE
    Stöcklein, W
    Scheller, FW
    Brigelius-Flohé, R
    ANALYTICAL CHEMISTRY, 2001, 73 (05) : 957 - 962
  • [26] Protein-RNA Interaction Prediction Using Graphical Representation of Biological Sequences
    Dogan, Berat
    2019 27TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2019,
  • [27] Human protein-RNA interaction network is highly stable across mammals
    Ramakrishnan, Aarthi
    Janga, Sarath Chandra
    BMC GENOMICS, 2019, 20 (Suppl 12)
  • [28] Protein-RNA molecular recognition
    Ibba, M
    Soll, D
    NATURE, 1996, 381 (6584) : 656 - 656
  • [29] A systematic benchmark of machine learning methods for protein-RNA interaction prediction
    Horlacher, Marc
    Cantini, Giulia
    Hesse, Julian
    Schinke, Patrick
    Goedert, Nicolas
    Londhe, Shubhankar
    Moyon, Lambert
    Marsico, Annalisa
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (05)
  • [30] Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization
    Sanders, David W.
    Kedersha, Nancy
    Lee, Daniel S. W.
    Strom, Amy R.
    Drake, Victoria
    Riback, Joshua A.
    Bracha, Dan
    Eeftens, Jorine M.
    Iwanicki, Allana
    Wang, Alicia
    Wei, Ming-Tzo
    Whitney, Gena
    Lyons, Shawn M.
    Anderson, Paul
    Jacobs, William M.
    Ivanov, Pavel
    Brangwynne, Clifford P.
    CELL, 2020, 181 (02) : 306 - +