Experimental assessment of splicing variants using expression minigenes and comparison with in silico predictions.
Experimental assessment of splicing variants using expression minigenes and comparison with in silico predictions.
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DOI:
10.1002/humu.22624
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发表时间:
2014-10
期刊:
影响因子:
3.9
通讯作者:
Cutting, Garry R.
中科院分区:
文献类型:
--
作者:
Sharma, Neeraj;Sosnay, Patrick R.;Ramalho, Anabela S.;Douville, Christopher;Franca, Arianna;Gottschalk, Laura B.;Park, Jeenah;Lee, Melissa;Vecchio-Pagan, Briana;Raraigh, Karen S.;Amara, Margarida D.;Karchin, Rachel;Cutting, Garry R.
Assessment of the functional consequences of variants near splice sites is a major challenge in the diagnostic laboratory. To address this issue, we created expression minigenes (EMGs) to determine the RNA and protein products generated by splice site variants (n = 10) implicated in cystic fibrosis (CF). Experimental results were compared with the splicing predictions of eight in silico tools. EMGs containing the full-length Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) coding sequence and flanking intron sequences generated wild-type transcript and fully processed protein in Human Embryonic Kidney (HEK293) and CF bronchial epithelial (CFBE41o-) cells. Quantification of variant induced aberrant mRNA isoforms was concordant using fragment analysis and pyrosequencing. The splicing patterns of c.1585−1G>A and c.2657+5G>A were comparable to those reported in primary cells from individuals bearing these variants. Bioinformatics predictions were consistent with experimental results for 9/10 variants (MES), 8/10 variants (NNSplice), and 7/10 variants (SSAT and Sroogle). Programs that estimate the consequences of mis-splicing predicted 11/16 (HSF and ASSEDA) and 10/16 (Fsplice and SplicePort) experimentally observed mRNA isoforms. EMGs provide a robust experimental approach for clinical interpretation of splice site variants and refinement of in silico tools.
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影响因子:
16.2
作者:
Iossifov I;Ronemus M;Levy D;Wang Z;Hakker I;Rosenbaum J;Yamrom B;Lee YH;Narzisi G;Leotta A;Kendall J;Grabowska E;Ma B;Marks S;Rodgers L;Stepansky A;Troge J;Andrews P;Bekritsky M;Pradhan K;Ghiban E;Kramer M;Parla J;Demeter R;Fulton LL;Fulton RS;Magrini VJ;Ye K;Darnell JC;Darnell RB;Mardis ER;Wilson RK;Schatz MC;McCombie WR;Wigler M
通讯作者:
Wigler M
影响因子:
14.9
作者:
Desmet FO;Hamroun D;Lalande M;Collod-Béroud G;Claustres M;Béroud C
通讯作者:
Béroud C
影响因子:
3.9
作者:
Aissat, Abdel;de Becdelievre, Alix;Hinzpeter, Alexandre
通讯作者:
Hinzpeter, Alexandre
影响因子:
17.1
作者:
Jacob, Howard J.;Abrams, Kelly;Worthey, Elizabeth A.
通讯作者:
Worthey, Elizabeth A.
影响因子:
3.9
作者:
Houdayer, Claude;Caux-Moncoutier, Virginie;Stoppa-Lyonnet, Dominique
通讯作者:
Stoppa-Lyonnet, Dominique