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Graveley, B. R.

Publications and source records attributed to Graveley, B. R..

3 recordsLinked to original sources

Allele-specific binding of RNA-binding proteins reveals functional genetic variants in the RNA

Allele-specific protein-RNA binding is an essential aspect that may reveal functional genetic variants influencing RNA processing and gene expression phenotypes. Recently, genome-wide detection of in vivo binding sites of RNA binding proteins (RBPs) is greatly facilitated by the enhanced UV crosslinking and immunoprecipitation (eCLIP) protocol. Hundreds of eCLIP-Seq data sets were generated from HepG2 and K562 cells during the ENCODE3 phase. These data afford a valuable opportunity to examine allele-specific binding (ASB) of RBPs. To this end, we developed a new computational algorithm, called BEAPR (Binding Estimation of Allele-specific Protein-RNA interaction). In identifying statistically significant ASB sites, BEAPR takes into account UV cross-linking induced sequence propensity and technical variations between replicated experiments. Using simulated data and actual eCLIP-Seq data, we show that BEAPR largely outperforms often-used methods Chi-Squared test and Fishers Exact test. Importantly, BEAPR overcomes the inherent over-dispersion problem of the other methods. Complemented by experimental validations, we demonstrate that ASB events are significantly associated with genetic regulation of splicing and mRNA abundance, supporting the usage of this method to pinpoint functional genetic variants in post-transcriptional gene regulation. Many variants with ASB patterns of RBPs were found as genetic variants with cancer or other disease relevance. About 38% of ASB variants were in linkage disequilibrium with single nucleotide polymorphisms from genome-wide association studies. Overall, our results suggest that BEAPR is an effective method to reveal ASB patterns in eCLIP and can inform functional interpretation of disease-related genetic variants.

bioinformatics

High-Throughput Identification of Genetic Variation Impact on pre-mRNA Splicing Efficiency

AbstractUnderstanding the functional impact of genomic variants is a major goal of modern genetics and personalized medicine. Although many synonymous and non-coding variants act through altering the efficiency of pre-mRNA splicing, it is difficult to predict how these variants impact pre-mRNA splicing. Here, we describe a massively parallel approach we used to test the impact of 2,059 human genetic variants spanning 110 alternative exons on pre-mRNA splicing. This method yields data that reinforces known mechanisms of pre-mRNA splicing, can rapidly identify genomic variants that impact pre-mRNA splicing, and will be useful for increasing our understanding of genome function.

genomics

Ccr4 And Pop2 Control Poly(A) Tail Length In Saccharomyces cerevisiae

Messenger RNA degradation is an important aspect of post-transcriptional gene regulation and shortening the poly(A) tail is suggested to be the rate-limiting step in mRNA degradation. In Saccharomyces cerevisiae, the Ccr4-Not complex is the major deadenylase and contains two subunits with exoribonuclease domains, Ccr4 and Pop2. Although the role of Ccr4 and Pop2 in deadenylation has previously been studied using individual reporter mRNAs, their activity has not been studied transcriptome-wide. Here, we describe END-seq, a method to accurately measure poly(A) tail lengths of individual mRNAs transcriptome-wide, and have used this assay to examine the impact of deleting or mutating CCR4 and POP2 on steady state poly(A) tail length. We found that Ccr4 and Pop2 have differential effects on the poly(A) tail lengths of individual mRNAs. Additionally, though Pop2 has previously been reported to have exonuclease activity, mutations that render it catalytically inactive have no effect on steady-state poly(A) tail lengths. Furthermore, mutations that disrupt the interaction between Ccr4 and Pop2 result in longer poly(A) tails. We also observe an inverse correlation between codon optimality and poly(A) tail length - transcripts containing predominantly optimal codons display fewer changes in poly(A) tail length upon deletion of Ccr4 or Pop2 than those containing less optimal codons. Together, these results indicate that Pop2 modulates poly(A) tail length, at least partially, via its association with Ccr4 and that Pop2 improves the function of Ccr4 in regulating poly(A) tail length. These data provide important insights into poly(A) tail length dynamics in yeast and demonstrate that END-seq is an efficient and accurate method to study poly(A) tail length.

genomics