SELECTION OF A SUBSET OF MESSENGER-RNAS FROM COMBINATORIAL 3' UNTRANSLATED REGION LIBRARIES USING NEURONAL RNA-BINDING PROTEIN HEL-N1

被引:141
作者
GAO, FB [1 ]
CARSON, CC [1 ]
LEVINE, T [1 ]
KEENE, JD [1 ]
机构
[1] DUKE UNIV,MED CTR,DEPT MICROBIOL,DURHAM,NC 27710
关键词
D O I
10.1073/pnas.91.23.11207
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
Hel-N1, a human RNA binding protein, shares significant homology with Drosophila protein ELAV, which is essential for fly neuronal development. Hel-N1 has been shown to bind in vitro to 3' untranslated regions of mRNAs encoding c-myc, c-fos, granulocyte/macrophage colony-stimulating factor, and transcriptional repressor, Id. We report that Hel-N1 and a related form, Hel-N2,are expressed in human medulloblastoma cells, but their ratio differs significantly from that in adult brain and fetal brain. Selection of RNA targets from randomized combinatorial libraries yielded (A+U)-rich consensus sequences for both Hel-N1 and Hel-N2. As a means to identify cellular RNA targets for these proteins, we devised combinatorial shape libraries representing naturally derived 3' untranslated regions and were able to select a structurally related subset of transcripts that bound to Hel-N1. Approximately 10% of the proteins encoded by these subset mRNAs were identifiable in the data bases and most are implicated in cell growth regulation. This approach provides a means to gain access to novel genes expressed in various cell types by partitioning mRNAs containing common sequence elements using RNA-binding proteins.
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页码:11207 / 11211
页数:5
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