Abstract
Pre-mRNA splicing is a complex process involving combinatorial effects of cis- and trans-elements. Here, we focused on histone modifications as typical trans-regulatory elements and performed systematic analyses of associations between splicing patterns and histone modifications by using publicly available ChIP-Seq, mRNA-Seq, and exon-array data obtained in two human cell lines. We found that several types of histone modifications including H3K36me3 were associated with the inclusion or exclusion of alternative exons. Furthermore, we observed that the levels of H3K36me3 and H3K79me1 in the cell lines were well correlated with the differences in alternative splicing patterns between the cell lines.
| Original language | English |
|---|---|
| Pages (from-to) | 516-521 |
| Number of pages | 6 |
| Journal | FEBS Letters |
| Volume | 587 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2013 Mar 1 |
Keywords
- Computational analysis
- Histone modification
- Splicing
ASJC Scopus subject areas
- Biophysics
- Structural Biology
- Biochemistry
- Molecular Biology
- Genetics
- Cell Biology
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Cite this
Shindo, Y., Nozaki, T., Saito, R., & Tomita, M. (2013). Computational analysis of associations between alternative splicing and histone modifications. FEBS Letters, 587(5), 516-521. https://doi.org/10.1016/j.febslet.2013.01.032