bioRxivGeneticsPreprint
Novel missense mutation E585K in retinitis pigmentosa leads to compromised RPGR splicing diversity
Yanshan LiuiD, Jifeng Wan, Chunyan ReniD, Zhou-Heng Xu, Xubin PaniD, Jiaqi Pan, Ruo-Nan Gao, Shao-Qiang Liu, Jiali ZhangiD, Qian-Hao Yao, Jihong WangiD, En‐Min LiiD, Jun-Hua RaoiD, Ping HouiD, Jian‐Huan CheniD
Abstract
Mutations in the retinitis pigmentosa GTPase regulator (RPGR) gene, are the major cause of X-linked retinitis pigmentosa (RP). Herein we used whole-exome sequencing to screen possible novel RPGR mutations in RP patients, and identified a novel missense mutation E585K in a patient with early onset but slow disease progression, and a frameshift deletion E998Gfs*78 in a patient with RP sine pigmento and high myopia. Intriguingly, bioinformatic analysis indicated that E585K probably affected RPGR RNA splicing instead of the protein sequence directly. Mini-gene assays in 293T cells revealed that splicing events of the E585K mutant were found to be also exist in wildtype, but with a shifted pattern. In the E585K mini-gene usage of an upstream alternative 5' splice site (5' ss) of exon 14 was enhanced, and other splicing events were suppressed, including the canonical 5' ss of exon 14, skipping of exon 14/15 and retention of intron 14. As a result, RPGR splicing products of the E585K mini-gene were predominated by transcripts containing a 4-bp deletion, with a small fraction of in-frame transcripts containing a retended intron 14, which might explain the slow disease progression in the patient carrying the mutation. RNA-Seq analysis further confirmed existence of these splicing events in endogenous RPGR RNA in human retina, pointing to compromised splicing diversity in the E585K mutant. Our findings thus added to the understanding of genotype-phenotype correlation in RP, and suggested that compromised RPGR splicing diversity might play a role in molecular mechanism of the disease.
- organism: human
- assay: whole-exome sequencing
- research focus: differential expression
- approach: statistical model
- Citations
- 0
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