Literature DB >> 24915601

Evaluation of damaging effects of splicing mutations: validation of an in vitro method for diagnostic laboratories.

Chiara Di Resta1, Martina Manzoni1, Massimo Zoni Berisso2, Gabriele Siciliano3, Sara Benedetti4, Maurizio Ferrari5.   

Abstract

BACKGROUND: Pre-mRNA splicing defects may have an important impact on clinical phenotype in several diseases, but often their pathogenic role is difficult to demonstrate. The aim of this study was to validate an in vitro method to assess the effects of putative splicing variants.
MATERIALS AND METHODS: We studied three novel variants in vitro using a novel minigene approach and compared results with in silico and ex vivo strategies from patient samples.
RESULTS: For the c.1146C>T variant in the LMNA gene, in vitro and ex vivo studies were concordant with the prediction obtained by in silico tools, confirming the loss of 13 bp at the end of exon 6. In the second case (c.1140+1G>A, SCN5A gene), in vitro experiments identified the insertion of 94 intronic bp in exon 9 as well as exon 9 skipping, but these results were not correctly predicted by ex vivo data and in silico tools. In the third case (c.1608+1C>T, LMNA gene) in vitro and ex vivo studies suggested the recognition of an exonic cryptic site leading to the loss of 29 bp in exon 9, not predicted by in silico analysis.
CONCLUSION: Our results revealed how in silico tools are often unreliable requiring "wet" RNA analysis. Since ex vivo studies are not always feasible, the use of an in vitro construct represents an efficient and useful method for the evaluation of damaging effects of unknown splicing variants, especially in diagnostic laboratories.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Expression vectors; In silico tools; In vitro studies; Minigene; RNA analysis; Splicing defects

Mesh:

Substances:

Year:  2014        PMID: 24915601     DOI: 10.1016/j.cca.2014.05.026

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  5 in total

1.  In Silico Analysis of the Molecular-Level Impact of SMPD1 Variants on Niemann-Pick Disease Severity.

Authors:  François Ancien; Fabrizio Pucci; Marianne Rooman
Journal:  Int J Mol Sci       Date:  2021-04-26       Impact factor: 5.923

2.  Functional Studies and In Silico Analyses to Evaluate Non-Coding Variants in Inherited Cardiomyopathies.

Authors:  Giulia Frisso; Nicola Detta; Pamela Coppola; Cristina Mazzaccara; Maria Rosaria Pricolo; Antonio D'Onofrio; Giuseppe Limongelli; Raffaele Calabrò; Francesco Salvatore
Journal:  Int J Mol Sci       Date:  2016-11-10       Impact factor: 5.923

3.  Genetic testing in neurology exploiting next generation sequencing: state of art.

Authors:  Chiara Di Resta; Maurizio Ferrari
Journal:  Neural Regen Res       Date:  2020-02       Impact factor: 5.135

4.  Next-generation sequencing approach for the diagnosis of human diseases: open challenges and new opportunities.

Authors:  Chiara Di Resta; Silvia Galbiati; Paola Carrera; Maurizio Ferrari
Journal:  EJIFCC       Date:  2018-04-30

Review 5.  Current scenario of the genetic testing for rare neurological disorders exploiting next generation sequencing.

Authors:  Chiara Di Resta; Giovanni Battista Pipitone; Paola Carrera; Maurizio Ferrari
Journal:  Neural Regen Res       Date:  2021-03       Impact factor: 5.135

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.