Comprehensive and quantitative mapping of RNA-protein interactions across a transcribed eukaryotic genome.
RNA-binding proteins (RBPs) control the fate of nearly every transcript in a cell. However, no existing approach for studying these posttranscriptional gene regulators combines transcriptome-wide throughput and biophysical precision. Here, we describe an assay that accomplishes this. Using commonly available hardware, we built a customizable, open-source platform that leverages the ... inherent throughput of Illumina technology for direct biophysical measurements. We used the platform to quantitatively measure the binding affinity of the prototypical RBP Vts1 for every transcript in the Saccharomyces cerevisiae genome. The scale and precision of these measurements revealed many previously unknown features of this well-studied RBP. Our transcribed genome array (TGA) assayed both rare and abundant transcripts with equivalent proficiency, revealing hundreds of low-abundance targets missed by previous approaches. These targets regulated diverse biological processes including nutrient sensing and the DNA damage response, and implicated Vts1 in de novo gene "birth." TGA provided single-nucleotide resolution for each binding site and delineated a highly specific sequence and structure motif for Vts1 binding. Changes in transcript levels in vts1Δ cells established the regulatory function of these binding sites. The impact of Vts1 on transcript abundance was largely independent of where it bound within an mRNA, challenging prevailing assumptions about how this RBP drives RNA degradation. TGA thus enables a quantitative description of the relationship between variant RNA structures, affinity, and in vivo phenotype on a transcriptome-wide scale. We anticipate that TGA will provide similarly comprehensive and quantitative insights into the function of virtually any RBP.
Mesh Terms:
Binding Sites, Computational Biology, Gene Regulatory Networks, Models, Molecular, Protein Binding, Protein Conformation, RNA Stability, RNA, Fungal, RNA, Messenger, RNA-Binding Proteins, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins
Binding Sites, Computational Biology, Gene Regulatory Networks, Models, Molecular, Protein Binding, Protein Conformation, RNA Stability, RNA, Fungal, RNA, Messenger, RNA-Binding Proteins, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins
Proc. Natl. Acad. Sci. U.S.A.
Date: Dec. 04, 2016
PubMed ID: 28325876
View in: Pubmed Google Scholar
Download Curated Data For This Publication
208714
Switch View:
- Interactions 274