rna splice sites
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2020 ◽  
Author(s):  
Diana Alexieva ◽  
Yi Long ◽  
Rupa Sarkar ◽  
Hansraj Dhayan ◽  
Emmanuel Bruet ◽  
...  

Abstract We report that low level background splicing by normal genes can be used to predict the likely effect of splicing mutations upon cryptic splice site activation and exon skipping, with emphasis on the DBASS databases, BRCA1, BRCA2 and DMD. In addition we show that background RNA splice sites are also involved in pseudoexon formation, recursive splicing and aberrant splicing in cancer. We discuss how background splicing information might inform splicing therapy.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9470
Author(s):  
Thanyathorn Thanapattheerakul ◽  
Worrawat Engchuan ◽  
Jonathan H. Chan

Mutations that cause an error in the splicing of a messenger RNA (mRNA) can lead to diseases in humans. Various computational models have been developed to recognize the sequence pattern of the splice sites. In recent studies, Convolutional Neural Network (CNN) architectures were shown to outperform other existing models in predicting the splice sites. However, an insufficient effort has been put into extending the CNN model to predict the effect of the genomic variants on the splicing of mRNAs. This study proposes a framework to elaborate on the utility of CNNs to assess the effect of splice variants on the identification of potential disease-causing variants that disrupt the RNA splicing process. Five models, including three CNN-based and two non-CNN machine learning based, were trained and compared using two existing splice site datasets, Genome Wide Human splice sites (GWH) and a dataset provided at the Deep Learning and Artificial Intelligence winter school 2018 (DLAI). The donor sites were also used to test on the HSplice tool to evaluate the predictive models. To improve the effectiveness of predictive models, two datasets were combined. The CNN model with four convolutional layers showed the best splice site prediction performance with an AUPRC of 93.4% and 88.8% for donor and acceptor sites, respectively. The effects of variants on splicing were estimated by applying the best model on variant data from the ClinVar database. Based on the estimation, the framework could effectively differentiate pathogenic variants from the benign variants (p = 5.9 × 10−7). These promising results support that the proposed framework could be applied in future genetic studies to identify disease causing loci involving the splicing mechanism. The datasets and Python scripts used in this study are available on the GitHub repository at https://github.com/smiile8888/rna-splice-sites-recognition.


2019 ◽  
Vol 125 (Suppl_1) ◽  
Author(s):  
Min Young Jang ◽  
Angela C Tai ◽  
Parth N Patel ◽  
Kaoru Ito ◽  
Joshua Gorham ◽  
...  

Computation ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. 285-298 ◽  
Author(s):  
Anja Fischer ◽  
Frank Fischer ◽  
Gerold Jäger ◽  
Jens Keilwagen ◽  
Paul Molitor ◽  
...  

1990 ◽  
Vol 9 (7) ◽  
pp. 535-542 ◽  
Author(s):  
J. DAVID REILLY ◽  
RANDA F. MELHEM ◽  
CATHLEEN M. LUTZ ◽  
MARY EDMONDS

1984 ◽  
Vol 4 (5) ◽  
pp. 966-972
Author(s):  
C Montell ◽  
E F Fisher ◽  
M H Caruthers ◽  
A J Berk

The primary transcript from adenovirus 2 early region 1B (E1B) is processed by differential RNA splicing into two overlapping mRNAs, 13S and 22S. The 22S mRNA is the major E1B mRNA during the early phase of infection, whereas the 13S mRNA predominates during the late phase. In previous work, it has been shown that this shift in proportions of the E1B mRNAs is influenced by increased cytoplasmic stability of the 13S mRNA at late times in infection. Two observations presented here demonstrate that the increase in proportion of the 13S mRNA at late times is also regulated by a change in the specificity of RNA splicing. First, the relative concentrations of the 13S to 22S nuclear RNAs were not constant throughout infection but increased at late times. Secondly, studies with the mutant, adenovirus 2 pm2250 , provided evidence that there was an increased propensity to utilize a 5' splice in the region of the 13S 5' splice site at late times in infection. Adenovirus 2 pm2250 has a G----C transversion in the first base of E1B 13S mRNA intron preventing splicing of the 13S mRNA but not of the 22S mRNA. During the early phase of a pm2250 infection, the E1B primary transcripts were processed into the 22S mRNA only. However, during the late phase, when the 13S mRNA normally predominates, E1B primary transcripts were also processed by RNA splicing at two formerly unused or cryptic 5' splice sites. Both cryptic splice sites were located much closer to the disrupted 13S 5' splice site than to the 22S 5' splice site. Thus, the temporal increase in proportion of the 13S mRNA to the 22S mRNA is regulated by two processes, an increase in cytoplasmic stability of the 13S mRNA and an increased propensity to utilize the 13S 5' splice site during the late phase of infection. Adenovirus 2 pm2250 was not defective for productive infection of HeLa cells or for transformation of rat cells.


1984 ◽  
Vol 4 (5) ◽  
pp. 966-972 ◽  
Author(s):  
C Montell ◽  
E F Fisher ◽  
M H Caruthers ◽  
A J Berk

The primary transcript from adenovirus 2 early region 1B (E1B) is processed by differential RNA splicing into two overlapping mRNAs, 13S and 22S. The 22S mRNA is the major E1B mRNA during the early phase of infection, whereas the 13S mRNA predominates during the late phase. In previous work, it has been shown that this shift in proportions of the E1B mRNAs is influenced by increased cytoplasmic stability of the 13S mRNA at late times in infection. Two observations presented here demonstrate that the increase in proportion of the 13S mRNA at late times is also regulated by a change in the specificity of RNA splicing. First, the relative concentrations of the 13S to 22S nuclear RNAs were not constant throughout infection but increased at late times. Secondly, studies with the mutant, adenovirus 2 pm2250 , provided evidence that there was an increased propensity to utilize a 5' splice in the region of the 13S 5' splice site at late times in infection. Adenovirus 2 pm2250 has a G----C transversion in the first base of E1B 13S mRNA intron preventing splicing of the 13S mRNA but not of the 22S mRNA. During the early phase of a pm2250 infection, the E1B primary transcripts were processed into the 22S mRNA only. However, during the late phase, when the 13S mRNA normally predominates, E1B primary transcripts were also processed by RNA splicing at two formerly unused or cryptic 5' splice sites. Both cryptic splice sites were located much closer to the disrupted 13S 5' splice site than to the 22S 5' splice site. Thus, the temporal increase in proportion of the 13S mRNA to the 22S mRNA is regulated by two processes, an increase in cytoplasmic stability of the 13S mRNA and an increased propensity to utilize the 13S 5' splice site during the late phase of infection. Adenovirus 2 pm2250 was not defective for productive infection of HeLa cells or for transformation of rat cells.


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