Dataset Information

Protocol for using TRIBE to study RNA-protein interactions and nuclear organization in mammalian cells.

ABSTRACT: Targets of RNA-binding proteins discovered by editing (TRIBE) determines RNA-proteins interactions and nuclear organization with minimal false positives. We detail necessary steps for performing mammalian cell RBP-TRIBE to determine the targets of RNA-binding proteins and MS2-TRIBE to determine RNA-RNA interactions within the nucleus. Necessary steps for performing a TRIBE experiment are detailed, starting with plasmid/cell line generation, cellular transfection, and RNA sequencing library preparation and concluding with bioinformatics analysis of RNA editing sites and identification of target RNAs. For complete details on the use and execution of this protocol, please refer to Biswas et al. (2020).

SUBMITTER: Biswas J

PROVIDER: S-EPMC8255943 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Protocol for using TRIBE to study RNA-protein interactions and nuclear organization in mammalian cells.

Biswas Jeetayu J Rosbash Michael M Singer Robert H RH Rahman Reazur R

STAR protocols 20210630 3

Targets of RNA-binding proteins discovered by editing (TRIBE) determines RNA-proteins interactions and nuclear organization with minimal false positives. We detail necessary steps for performing mammalian cell RBP-TRIBE to determine the targets of RNA-binding proteins and MS2-TRIBE to determine RNA-RNA interactions within the nucleus. Necessary steps for performing a TRIBE experiment are detailed, starting with plasmid/cell line generation, cellular transfection, and RNA sequencing library prepa ...[more]

PMID: 34258595

Similar Datasets

Project description:Nearly every step of RNA regulation is mediated by binding proteins (RBPs). The most common method to identify specific RBP target transcripts in vivo is by crosslinking (“CLIP” and its variants), which rely on protein-RNA crosslinking and specific antibodies. Another recently introduced method exploits RNA editing, with the hyperactive mutant catalytic domain of ADAR covalently attached to a specific RBP (“HyperTRIBE”). Both CLIP and TRIBE approaches suffer from difficulties in distinguishing real RNA targets from false negative and especially false positive signals. To critically evaluate this problem, we used fibroblasts from a mouse where every endogenous β-actin mRNA molecule was tagged with the bacteriophage MS2 RNA stem loops in the β-actin 3’ UTR; hence there is only a single bona fide target mRNA for the MS2 capsid protein (MCP). CLIP and HyperTRIBE (hereafter referred to as TRIBE) could both detect the single RNA target, albeit with some false positives (transcripts lacking the MS2 stem loops). Consistent false positive CLIP signals could be attributed to nonspecific antibody interactions. However, to our surprise the putative false positive TRIBE targets correlated with the location of genes spatially proximal to the β-actin gene. This result indicates that MCP-ADAR bound to β-actin mRNA contacted and edited nearby nascent transcripts, as evidenced by frequent intronic editing. Importantly, nascent transcripts on nearby chromosomes were also edited, agreeing with the interchromosomal contacts observed in chromosome paint and Hi-C. These results were repeated in human osteosarcoma cells with a randomly integrated and inducible MS2 reporter and indicated that MS2-TRIBE can be applied to a broad array of cells and transcripts. The identification of nascent RNA-RNA contacts imply that RNA-regulatory proteins such as splicing factors can associate with multiple nascent transcripts and thereby form domains of post-transcriptional activity, which increase their local concentrations. These results indicate that TRIBE combined with the MS2 system, MS2-TRIBE, is a new tool to study nuclear RNA organization and regulation.

Dataset Information

Protocol for using TRIBE to study RNA-protein interactions and nuclear organization in mammalian cells.

Publications

Protocol for using TRIBE to study RNA-protein interactions and nuclear organization in mammalian cells.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets