2020
DOI: 10.3389/fgene.2020.585064
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Six Exonic Variants in the SLC5A2 Gene Cause Exon Skipping in a Minigene Assay

Abstract: Background: Familial renal glucosuria is a rare renal tubular disorder caused by SLC5A2 gene variants. Most of them are exonic variants and have been classified as missense variants. However, there is growing evidence that some of these variants can be detrimental by affecting the pre-mRNA splicing process. Therefore, we hypothesize that a certain proportion of SLC5A2 exonic variants can result in disease via interfering with the normal splicing process of the pre-mRNA. Methods: We used bioinformatics programs… Show more

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Cited by 12 publications
(27 citation statements)
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“…In many cases, however, RNA samples from the affected individual are unavailable, and mRNAs are difficult to detect due to the activation of the nonsense‐mediated decay of the mRNA pathway (Théry et al, 2011). Fortunately, a functional splicing assay based on the minigene assay was confirmed as an effective, reliable, and relatively simple tool to functionally assay potential splicing (Fraile‐Bethencourt et al, 2018), which has been extensively validated in our previous studies (Wang et al, 2020; Zhang, Wang, Wang, et al, 2018; Zhao et al, 2016).…”
Section: Discussionmentioning
confidence: 94%
See 1 more Smart Citation
“…In many cases, however, RNA samples from the affected individual are unavailable, and mRNAs are difficult to detect due to the activation of the nonsense‐mediated decay of the mRNA pathway (Théry et al, 2011). Fortunately, a functional splicing assay based on the minigene assay was confirmed as an effective, reliable, and relatively simple tool to functionally assay potential splicing (Fraile‐Bethencourt et al, 2018), which has been extensively validated in our previous studies (Wang et al, 2020; Zhang, Wang, Wang, et al, 2018; Zhao et al, 2016).…”
Section: Discussionmentioning
confidence: 94%
“…To investigate the effect on the splicing process of the candidate variants, in vitro analysis was performed using a minigene splicing assay based on the pSPL3 exon trapping vector, as shown in Figure 1a. Minigene constructions were described as previously reported (Wang et al, 2020; Zhang, Wang, Wang, et al, 2018). Briefly, for each variation, the fragments with the wild‐type (WT) alleles involving interested exon, flanked by approximately 50–200 nucleotides of upstream intronic sequence and downstream intronic sequence, were cloned into the splicing vector pSPL3 using specific primers linking the XhoI and NheI restriction enzyme sites (XhoI: TGGAGC^TCGAG; NheI: AATTTG^CTAGC).…”
Section: Methodsmentioning
confidence: 99%
“…In many cases, however, RNA samples from the affected individual are unavailable, and mRNAs are difficult to detect due to the activation of the nonsense-mediated mRNA decay pathway [24] . Fortunately, a functional splicing assay based on the minigene assay was confirmed as an effective, reliable and relatively simple tool to functionally assay potential splicing [25] , which has been extensively validated in our previous studies [20,21,26] .…”
Section: Discussionmentioning
confidence: 89%
“…To investigate the effect on the splicing process of the candidate variants, in vitro analysis was performed using a minigene splicing assay based on the pSPL3 exon trapping vector shown at Figure 1 A. Minigene constructions were described as previously reported [20,21] . Briefly, for each variation, the fragments with the wild-type (WT) alleles involving interested exon, flanked by approximately 50-200 nucleotides of upstream intronic sequence and downstream intronic sequence, were cloned into the splicing vector pSPL3 using specific primers linking the XhoI and NheI restriction enzyme sites (XhoI: TGGAGCˆTCGAG; NheI: AATTTGˆCTAGC).…”
Section: Minigene Constructionsmentioning
confidence: 99%
“…Disease-causing variations are identified mainly at the genomic level. The effects of variation on mRNA and encoded protein can only be predicted by DNA sequence, very few cases have been experimentally confirmed the effects of variants at both DNA and RNA levels [ 15 ]. Current bioinformatics filtering strategies and clinical interpretation guidelines tend to focus on the impact of variants at the amino acid level.…”
Section: Discussionmentioning
confidence: 99%