Unknown,Transcriptomics,Genomics,Proteomics

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RNase-mediated protein footprint sequencing reveals protein-binding sites throughout the human transcriptome

ABSTRACT: RNAs are continuously associated with RNA-binding proteins (RBPs), and these interactions are necessary for many key cellular processes ranging from splicing to chromatin regulation. Although numerous approaches have been developed to map RNA-binding sites of individual RBPs, few methods exist that allow assessment of global RBP-RNA interactions. Here, we describe a universal, high-throughput, ribonuclease-mediated protein footprint sequencing approach that reveals RNA-protein interaction sites throughout a transcriptome of interest. We apply this method to the HeLa transcriptome and compare RBP binding sites found using different cross-linkers and ribonucleases. From this analysis, we identify numerous putative RBP binding motifs, reveal novel insights into co-binding by RBPs, and uncover a significant enrichment for disease-associated polymorphisms within RBP interaction sites. Protein interaction profile sequencing (PIP-seq) in HeLa cells. Two crosslinkers (formaldehyde and UV) with two RNases (dsRNase and ssRNase) each, as well as a no-crosslink sample. Performed with and without proteins. Three replicates for formaldehyde, two replicates for UV, single replicate for no crosslinker.

ORGANISM(S): Homo sapiens

SUBMITTER: Ian Silverman

PROVIDER: E-GEOD-49309 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:RNA-binding proteins (RBPs) are intimately involved in all aspects of RNA processing and regulation and are linked to neurodegenerative diseases and cancer. Therefore, understanding the relationship between RBPs and their RNA targets is critical for a broader understanding of post-transcriptional regulation in normal and disease processes. The majority of approaches to study RNA-protein interactions focus on single RBPs, however there are many hundreds RBPs encoded in the human genome, and each cell type expresses a different catalog of these regulatory molecules, greatly limiting the ability of these single RBP approaches to capture the global landscape of RNA-protein interactions. We and others have developed approaches to globally catalog regions of mRNAs that are bound by proteins in an unbiased manner. Here we describe a detailed protocol for performing our RNase-mediated protein footprint sequencing approach, termed protein interaction profile sequencing (PIP-seq). In this protocol, RNA-protein interactions are stabilized by cross-linking, and un-bound regions are digested with RNases, leaving only the protein-bound regions intact. To control for RNase insensitive regions, proteins are first denatured and then RNP complexes are subject to RNase treatment. After high-throughput sequencing of remaining fragments, peak calling is performed to identify protein protected sites (PPSs). We describe the application of this protocol to a human embryonic kidney cell line and perform basic quality control, reproducibility and benchmarking analyses. Finally, we describe the landscape of protein-interactions in HEK293T cells, underscoring the value of this approach. Future applications of this method to study the dynamics of RNA-protein interactions in developmental processes will help to uncover the role of RBPs in post-transcriptional regulation. Protein interaction profile sequencing (PIP-seq) in HEK293T cells. Three replicates of formaldehyde cross-linked PIP-seq are described

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RNase-mediated protein footprint sequencing reveals protein-binding sites throughout the human transcriptome

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