Evidence map›Paper›PMID 39091804›Full record

ArticlebioRxiv : the preprint server for biology2024

Decoding RNA Metabolism by RNA-linked CRISPR Screening in Human Cells.

Patrick J Nugent, Heungwon Park, Cynthia L Wladyka, Katharine Y Chen, Christine Bynum, Grace Quarterman, Andrew C Hsieh, Arvind Rasi Subramaniam

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Patrick J NugentBasic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.ORCID 0000-0003-2248-087X
Heungwon ParkBasic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.ORCID 0009-0001-0038-6842
Cynthia L WladykaHuman Biology Division, Fred Hutchinson Cancer Center, Seattle WA, USA.
Katharine Y ChenBasic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.
Christine BynumBasic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.
Grace QuartermanBasic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.
Andrew C HsiehHuman Biology Division, Fred Hutchinson Cancer Center, Seattle WA, USA.ORCID 0000-0002-0897-1050
Arvind Rasi SubramaniamBasic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.ORCID 0000-0001-6145-4303

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
TRAINING IN MOLECULAR BIOPHYSICST32GM008268 · NIGMS · UNIVERSITY OF WASHINGTON · PI KOLLMAN, JUSTIN M, ZHENG, NING · 1988 to 2023
$8.6M
Regulation of Protein Synthesis by Synonymous Codon UsageR35GM119835 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SUBRAMANIAM, ARVIND RASI · 2016 to 2025
$4.1M
Hormone signaling and translation control in advanced prostate cancerR37CA230617 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSIEH, ANDREW CALEB · 2019 to 2025
$3.1M
Transcriptional-translational conflict in bladder epithelial homeostasis and cancerR01CA276308 · NCI · FRED HUTCHINSON CANCER CENTER · PI Andrew Caleb Hsieh · 2023 to 2026
$2.3M
Selective mRNA translation in developmental disordersR01GM135362 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BERONJA, SLOBODAN, HSIEH, ANDREW CALEB · 2020 to 2023
$2.1M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA276308NCI NIH HHS R37 CA230617NIGMS NIH HHS R01 GM135362NIGMS NIH HHS R35 GM119835NIGMS NIH HHS T32 GM008268NIH HHS S10 OD020069NIH HHS S10 OD028685
6 · The paper itself

Abstract

RNAs undergo a complex choreography of metabolic processes in human cells that are regulated by thousands of RNA-associated proteins. While the effects of individual RNA-associated proteins on RNA metabolism have been extensively characterized, the full complement of regulators for most RNA metabolic events remain unknown. Here we present a massively parallel RNA-linked CRISPR (ReLiC) screening approach to measure the responses of diverse RNA metabolic events to knockout of 2,092 human genes encoding all known RNA-associated proteins. ReLiC screens highlight modular interactions between gene networks regulating splicing, translation, and decay of mRNAs. When combined with biochemical fractionation of polysomes, ReLiC reveals striking pathway-specific coupling between growth fitness and mRNA translation. Perturbing different components of the translation and proteostasis machineries have distinct effects on ribosome occupancy, while perturbing mRNA transcription leaves ribosome occupancy largely intact. Isoform-selective ReLiC screens capture differential regulation of intron retention and exon skipping by SF3b complex subunits. Chemogenomic screens using ReLiC decipher translational regulators upstream of mRNA decay and uncover a role for the ribosome collision sensor GCN1 during treatment with the anti-leukemic drug homoharringtonine. Our work demonstrates ReLiC as a versatile platform for discovering and dissecting regulatory principles of human RNA metabolism.

Identifiers

PMID39091804
PMCPMC11291135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.