Antisense targeting of decoy exons can reduce intron retention and increase protein expression in human erythroblasts [electronic resource]

Saved in:
Bibliographic Details
Online Access: Full Text (via OSTI)
Corporate Author: Lawrence Berkeley National Laboratory (Researcher)
Format: Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2020.
Subjects:
Description
Abstract:The decoy exon model has been proposed to regulate a subset of intron retention (IR) events involving predominantly larger introns (>1 kb). Splicing reporter studies have shown that decoy splice sites are essential for activity, suggesting that decoys act by engaging intron-terminal splice sites and competing with cross-intron interactions required for intron excision. The decoy model predicts that antisense oligonucleotides may be able to block decoy splice sites in endogenous pre-mRNA, thereby reducing IR and increasing productive gene expression. Indeed, we now demonstrate that targeting a decoy 5' splice site in the O-GlcNAc transferase (OGT) gene reduced IR from ̃80% to ̃20% in primary human erythroblasts, accompanied by increases in spliced OGT RNA and OGT protein expression. The remaining OGT IR was refractory to antisense treatment and might be mediated by independent mechanism(s). In contrast, other retained introns were strongly dependent on decoy function, since antisense targeting of decoy 5' splice sites greatly reduced (SNRNP70) or nearly eliminated (SF3B1) IR in two widely expressed splicing factors, and also greatly reduced IR in transcripts encoding the erythroid-specific structural protein, ?-spectrin (SPTA1). These results show that modulating decoy exon function can dramatically alter IR and suggest that dynamic regulation of decoy exons could be a mechanism to fine-tune gene expression post-transcriptionally in many cell types.
Item Description:Published through Scitech Connect.
04/20/2020.
"Journal ID: ISSN 1355-8382."
"Other: ark:/13030/qt1d16z6ht."
Parra, Marilyn ; Zhang, Weiguo ; Vu, Jonathan ; DeWitt, Mark ; Conboy, John G. ;
Physical Description:Size: p. 996-1005 : digital, PDF file.