Detailed Information on Publication Record
2017
Mutations of Pre-mRNA Splicing Regulatory Elements: Are Predictions Moving Forward to Clinical Diagnostics?
GRODECKA, Lucie, Emanuele BURATTI and Tomáš FREIBERGERBasic information
Original name
Mutations of Pre-mRNA Splicing Regulatory Elements: Are Predictions Moving Forward to Clinical Diagnostics?
Authors
GRODECKA, Lucie (203 Czech Republic), Emanuele BURATTI (380 Italy) and Tomáš FREIBERGER (203 Czech Republic, guarantor, belonging to the institution)
Edition
International Journal of Molecular Sciences, Basel, MDPI AG, 2017, 1422-0067
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10600 1.6 Biological sciences
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 3.687
RIV identification code
RIV/00216224:14740/17:00095667
Organization unit
Central European Institute of Technology
UT WoS
000408897400069
Keywords in English
splicing regulatory elements; in silico predictions; pre-mRNA splicing; mutation; evaluation of prediction tools; variants of unknown significance; splicing aberration
Tags
International impact, Reviewed
Změněno: 1/3/2018 13:39, Mgr. Pavla Foltynová, Ph.D.
Abstract
V originále
For more than three decades, researchers have known that consensus splice sites alone are not sufficient regulatory elements to provide complex splicing regulation. Other regulators, so-called splicing regulatory elements (SREs) are needed. Most importantly, their sequence variants often underlie the development of various human disorders. However, due to their variable location and high degeneracy, these regulatory sequences are also very difficult to recognize and predict. Many different approaches aiming to identify SREs have been tried, often leading to the development of in silico prediction tools. While these tools were initially expected to be helpful to identify splicing-affecting mutations in genetic diagnostics, we are still quite far from meeting this goal. In fact, most of these tools are not able to accurately discern the SRE-affecting pathological variants from those not affecting splicing. Nonetheless, several recent evaluations have given appealing results (namely for EX-SKIP, ESRseq and Hexplorer predictors). In this review, we aim to summarize the history of the different approaches to SRE prediction, and provide additional validation of these tools based on patients' clinical data. Finally, we evaluate their usefulness for diagnostic settings and discuss the challenges that have yet to be met.
Links
NV16-34414A, research and development project |
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