RBM33 directs the nuclear export of transcripts containing GC-rich elements.
RBM33 directs the nuclear export of transcripts containing GC-rich elements.
复制标题
DOI:
10.1101/gad.349456.122
复制
发表时间:
2022-05-01
影响因子:
10.5
通讯作者:
Mendell, Joshua T.
中科院分区:
文献类型:
--
作者:
Thomas, Anu;Rehfeld, Frederick;Zhang, He;Chang, Tsung-Cheng;Goodarzi, Mohammad;Gillet, Frank;Mendell, Joshua T.
In this study, Thomas et al. developed a genome-wide screening strategy to investigate the mechanism of export of NORAD, an intronless cytoplasmic long noncoding RNA (lncRNA), and found an RNA binding protein, RBM33, that directs the nuclear export of NORAD and numerous other transcripts. These results provide a broadly applicable strategy for the genetic dissection of nuclear export mechanisms and reveal a long-sought nuclear export pathway for transcripts with GC-rich sequences. Although splicing is a major driver of RNA nuclear export, many intronless RNAs are efficiently exported to the cytoplasm through poorly characterized mechanisms. For example, GC-rich sequences promote nuclear export in a splicing-independent manner, but how GC content is recognized and coupled to nuclear export is unknown. Here, we developed a genome-wide screening strategy to investigate the mechanism of export of NORAD, an intronless cytoplasmic long noncoding RNA (lncRNA). This screen revealed an RNA binding protein, RBM33, that directs the nuclear export of NORAD and numerous other transcripts. RBM33 directly binds substrate transcripts and recruits components of the TREX–NXF1/NXT1 RNA export pathway. Interestingly, high GC content emerged as the feature that specifies RBM33-dependent nuclear export. Accordingly, RBM33 directly binds GC-rich elements in target transcripts. These results provide a broadly applicable strategy for the genetic dissection of nuclear export mechanisms and reveal a long-sought nuclear export pathway for transcripts with GC-rich sequences.
登录
查看更多内容
影响因子:
64.5
作者:
Fornerod, M;Ohno, M;Mattaj, IW
通讯作者:
Mattaj, IW
影响因子:
14.9
作者:
Bauer AP;Leikam D;Krinner S;Notka F;Ludwig C;Längst G;Wagner R
通讯作者:
Wagner R
影响因子:
3.7
作者:
Fath S;Bauer AP;Liss M;Spriestersbach A;Maertens B;Hahn P;Ludwig C;Schäfer F;Graf M;Wagner R
通讯作者:
Wagner R
影响因子:
46.9
作者:
Doench JG;Fusi N;Sullender M;Hegde M;Vaimberg EW;Donovan KF;Smith I;Tothova Z;Wilen C;Orchard R;Virgin HW;Listgarten J;Root DE
通讯作者:
Root DE
影响因子:
14.9
作者:
Frankish A;Diekhans M;Ferreira AM;Johnson R;Jungreis I;Loveland J;Mudge JM;Sisu C;Wright J;Armstrong J;Barnes I;Berry A;Bignell A;Carbonell Sala S;Chrast J;Cunningham F;Di Domenico T;Donaldson S;Fiddes IT;García Girón C;Gonzalez JM;Grego T;Hardy M;Hourlier T;Hunt T;Izuogu OG;Lagarde J;Martin FJ;Martínez L;Mohanan S;Muir P;Navarro FCP;Parker A;Pei B;Pozo F;Ruffier M;Schmitt BM;Stapleton E;Suner MM;Sycheva I;Uszczynska-Ratajczak B;Xu J;Yates A;Zerbino D;Zhang Y;Aken B;Choudhary JS;Gerstein M;Guigó R;Hubbard TJP;Kellis M;Paten B;Reymond A;Tress ML;Flicek P
通讯作者:
Flicek P