Computational analysis of associations between alternative splicing and histone modifications

Area of Science:

• Molecular Biology
• Epigenetics
• Genomics

Background:

• Pre-messenger RNA (mRNA) splicing is a crucial gene expression step regulated by cis- and trans-acting elements.
• Histone modifications are key epigenetic regulators involved in modulating gene expression.
• Understanding the interplay between histone modifications and alternative splicing is vital for deciphering gene regulation complexity.

Purpose of the Study:

• To investigate the association between specific histone modifications and alternative splicing patterns in human cells.
• To identify which histone modifications correlate with the inclusion or exclusion of alternative exons.
• To explore the relationship between global histone modification levels and cell-specific alternative splicing profiles.

Main Methods:

• Systematic analysis of publicly available ChIP-Seq, mRNA-Seq, and exon-array data from two human cell lines.
• Statistical assessment of correlations between various histone modification marks and alternative splicing events.
• Comparative analysis of histone modification profiles and splicing patterns across different cell lines.

Main Results:

• Several histone modifications, notably Histone 3 Lysine 36 trimethylation (H3K36me3), were significantly associated with alternative exon inclusion and exclusion.
• The levels of H3K36me3 and Histone 3 Lysine 79 monomethylation (H3K79me1) showed a strong correlation with observed differences in alternative splicing patterns between the two cell lines.
• These findings highlight specific histone marks as potential regulators of alternative splicing decisions.

Conclusions:

• Histone modifications, particularly H3K36me3, play a role in regulating alternative splicing.
• Epigenetic states, as reflected by histone modification patterns, contribute to cell-specific alternative splicing outcomes.
• This study provides insights into the epigenetic control of alternative splicing, with implications for understanding gene regulation and cellular diversity.