کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1998225 1065764 2014 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Liver transcript analysis reveals aberrant splicing due to silent and intronic variations in the ABCB11 gene
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی زیست شیمی
پیش نمایش صفحه اول مقاله
Liver transcript analysis reveals aberrant splicing due to silent and intronic variations in the ABCB11 gene
چکیده انگلیسی


• Combining in silico tools increases sensitivity in identifying splice mutation.
• ABCB11 transcripts were studied in PFIC2 patients' liver tissue by RT-PCR and sequencing.
• Analyzing liver transcripts is the best way to study putative ABCB11 splice variants.
• We show that some ABCB11 variants alter splicing in the liver of PFIC2 patients.

BackgroundProgressive familial intrahepatic cholestasis type 2 (PFIC2) is an autosomal recessive disease due to mutations in ABCB11. ABCB11 encodes the bile salt export pump (BSEP), the major transporter responsible for biliary bile acid secretion, which expression is restricted to hepatocytes. In some patients, molecular analysis of ABCB11 revealed either exonic or intronic variations – including common polymorphisms – predicted to affect splicing according to in silico analysis or in vitro minigene studies. Transcript analysis in liver tissue is the best way to determine whether the variations predicted to affect splicing are deleterious or not.Methods and resultsWe performed ABCB11 transcript analysis in liver tissue from five PFIC2 patients who had variations which were predicted to either affect splicing or not. Among eleven variants tested, only the silent c.3003A>G variant and the intronic c.3213+4A>G variant led to abnormal splicing as suggested by in silico analysis.ConclusionABCB11 liver transcript analysis is a useful tool to confirm or invalidate the predicted splicing effect of a silent or intronic ABCB11 variation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Molecular Genetics and Metabolism - Volume 113, Issue 3, November 2014, Pages 225–229
نویسندگان
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