Published June 7, 2023 | Version Submitted
Discussion Paper Open

SPIDR: a highly multiplexed method for mapping RNA-protein interactions uncovers a potential mechanism for selective translational suppression upon cellular stress

Abstract

RNA binding proteins (RBPs) play crucial roles in regulating every stage of the mRNA life cycle and mediating non-coding RNA functions. Despite their importance, the specific roles of most RBPs remain unexplored because we do not know what specific RNAs most RBPs bind. Current methods, such as crosslinking and immunoprecipitation followed by sequencing (CLIP-seq), have expanded our knowledge of RBP-RNA interactions but are generally limited by their ability to map only one RBP at a time. To address this limitation, we developed SPIDR (Split and Pool Identification of RBP targets), a massively multiplexed method to simultaneously profile global RNA binding sites of dozens to hundreds of RBPs in a single experiment. SPIDR employs split-pool barcoding coupled with antibody-bead barcoding to increase the throughput of current CLIP methods by two orders of magnitude. SPIDR reliably identifies precise, single-nucleotide RNA binding sites for diverse classes of RBPs simultaneously. Using SPIDR, we explored changes in RBP binding upon mTOR inhibition and identified that 4EBP1 acts as a dynamic RBP that selectively binds to 5'-untranslated regions of specific translationally repressed mRNAs only upon mTOR inhibition. This observation provides a potential mechanism to explain the specificity of translational regulation controlled by mTOR signaling. SPIDR has the potential to revolutionize our understanding of RNA biology and both transcriptional and post-transcriptional gene regulation by enabling rapid, de novo discovery of RNA-protein interactions at an unprecedented scale.

Additional Information

The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. This work was funded by grants from NIH (R35GM128802 (MJ); R01AG071869 (MJ) R01HG012216 (MJ/MG), U01DK127420 (MG), R01DA053178 (MG), and F30CA278005 (JKG)), NSF (Award 2224211 (MJ)), CZI Ben Barres Early Career Acceleration Award (MG), and funds from Columbia University (MJ). The authors have declared no competing interest.

Attached Files

Submitted - 2023.06.05.543769v1.full.pdf

Files

2023.06.05.543769v1.full.pdf

Files (3.4 MB)

Name Size Download all
md5:02ccc260373481ad107be360b42af25e
3.4 MB Preview Download

Additional details

Identifiers

PMCID
PMC10274648
Eprint ID
122521
Resolver ID
CaltechAUTHORS:20230725-706033000.26

Funding

NIH
R35GM128802
NIH
R01AG071869
NIH
NIH
NIH
NIH Postdoctoral Fellowship
NSF
Chan-Zuckerberg Initiative
Columbia University

Dates

Created
2023-08-15
Created from EPrint's datestamp field
Updated
2023-08-15
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Division of Biology and Biological Engineering (BBE)