MassIVE MSV000094186

Complete Public PXD050197

Oligonucleotide-mediated proximity-interactome mapping (O-MAP): A unified method for discovering RNA-interacting proteins, transcripts and genomic loci in situ.

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Description

Within all cells, RNA molecules form complex networks of molecular interactions that are central to their function, but discovering these interactions remains challenging. Here, we introduce Oligonucleotide-mediated proximity-interactome MAPping (O-MAP), a straightforward method for elucidating the biomolecules near an RNA of interest, within its native cellular context. O-MAP uses programmable DNA probes to deliver proximity-biotinylating enzymes to a target RNA, enabling molecules within that RNA's subcellular microcompartment to be enriched by streptavidin pulldown. O-MAP induces exceptionally precise in situ biotinylation, and unlike alternative methods it enables straightforward optimization of its RNA-targeting accuracy. Using the 47S pre-ribosomal RNA and long noncoding RNA Xist as models, we develop O-MAP workflows for unbiased discovery of RNA-proximal proteins, transcripts, and genomic loci. This revealed unexpected co-compartmentalization of Xist and other chromatin-regulatory RNAs, and enabled systematic discovery of nucleolar-chromatin interactions across multiple cell lines. O-MAP uses exclusively off-the-shelf parts requiring no genetic- or cell-line engineering and is easily portable across diverse specimen-types and target RNAs. We therefore anticipate its application to a broad array of RNA phenomena. [doi:10.25345/C5CC0V477] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: OMAP

Contact

Principal Investigators:
(in alphabetical order) 		David Shechner, University of Washington, United States
Submitting User: cmcgann
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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