BMC Bioinformatics | |
A random effects model for the identification of differential splicing (REIDS) using exon and HTA arrays | |
Methodology Article | |
Marijke Van Moerbeke1  Ziv Shkedy1  Joke Reumers2  Willem Talloen2  Hinrick W. H. Göhlmann2  Adetayo Kasim3  | |
[1] Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, 3500, Hasselt, Belgium;Janssen Pharmaceutica, 2340, Beerse, Belgium;Wolfson Research Institute for Health and Wellbeing, Durham University, Durham, UK; | |
关键词: Exon arrays; HTA arrays; Alternative splicing; Mixed effects models; | |
DOI : 10.1186/s12859-017-1687-8 | |
received in 2017-01-23, accepted in 2017-05-15, 发布年份 2017 | |
来源: Springer | |
【 摘 要 】
BackgroundAlternative gene splicing is a common phenomenon in which a single gene gives rise to multiple transcript isoforms. The process is strictly guided and involves a multitude of proteins and regulatory complexes. Unfortunately, aberrant splicing events do occur which have been linked to genetic disorders, such as several types of cancer and neurodegenerative diseases (Fan et al., Theor Biol Med Model 3:19, 2006). Therefore, understanding the mechanism of alternative splicing and identifying the difference in splicing events between diseased and healthy tissue is crucial in biomedical research with the potential of applications in personalized medicine as well as in drug development.ResultsWe propose a linear mixed model, Random Effects for the Identification of Differential Splicing (REIDS), for the identification of alternative splicing events. Based on a set of scores, an exon score and an array score, a decision regarding alternative splicing can be made. The model enables the ability to distinguish a differential expressed gene from a differential spliced exon. The proposed model was applied to three case studies concerning both exon and HTA arrays.ConclusionThe REIDS model provides a work flow for the identification of alternative splicing events relying on the established linear mixed model. The model can be applied to different types of arrays.
【 授权许可】
CC BY
© The Author(s) 2017
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202311104041097ZK.pdf | 2168KB | download | |
Fig. 6 | 2604KB | Image | download |
Fig. 2 | 80KB | Image | download |
Fig. 1 | 163KB | Image | download |
MediaObjects/13011_2023_566_MOESM1_ESM.docx | 33KB | Other | download |
MediaObjects/40249_2023_1146_MOESM9_ESM.xls | 34KB | Other | download |
MediaObjects/12888_2023_5152_MOESM1_ESM.docx | 249KB | Other | download |
MediaObjects/40249_2023_1146_MOESM10_ESM.xls | 135KB | Other | download |
13046_2023_2867_Article_IEq1.gif | 1KB | Image | download |
MediaObjects/40249_2023_1146_MOESM11_ESM.xls | 516KB | Other | download |
MediaObjects/40249_2023_1146_MOESM12_ESM.xls | 215KB | Other | download |
【 图 表 】
13046_2023_2867_Article_IEq1.gif
Fig. 1
Fig. 2
Fig. 6
【 参考文献 】
- [1]
- [2]
- [3]
- [4]
- [5]
- [6]
- [7]
- [8]
- [9]
- [10]
- [11]
- [12]
- [13]
- [14]
- [15]
- [16]
- [17]
- [18]
- [19]
- [20]
- [21]
- [22]
- [23]
- [24]
- [25]
- [26]
- [27]
- [28]
- [29]
- [30]
- [31]
- [32]
- [33]
- [34]
- [35]
- [36]
- [37]
- [38]
- [39]
- [40]
- [41]