Evidence map›Paper›PMID 36909483›Full record

ArticlebioRxiv : the preprint server for biology2023

Genome-scale requirements for dynein-based trafficking revealed by a high-content arrayed CRISPR screen.

Chun Hao Wong, Steven W Wingett, Chen Qian, J Matthew Taliaferro, Douglas Ross-Thriepland, Simon L Bullock

Open access · greenFull text readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 4 countries.

Chun Hao WongCell Biology Division, MRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.
Steven W WingettCell Biology Division, MRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.
Chen QianQuantitative Biology, Discovery Sciences, AstraZeneca, R&D, Cambridge, CB4 0WG, UK.
J Matthew TaliaferroDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Douglas Ross-ThrieplandDiscovery Biology, Discovery Sciences, AstraZeneca, R&D, Cambridge, CB4 0WG, UK.
Simon L BullockCell Biology Division, MRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.
AstraZeneca (United Kingdom) · GBMRC Laboratory of Molecular Biology · GBUniversity of Colorado Anschutz Medical Campus · US

Funding

Understanding the regulatory language of RNA localizationR35GM133385 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Jefferson Matthew Taliaferro · 2019 to 2026
$3.4M
Medical Research Council MC_U105178790NIGMS NIH HHS R35 GM133385
6 · The paper itself

Abstract

The cytoplasmic dynein-1 (dynein) motor plays a key role in cellular organisation by transporting a wide variety of cellular constituents towards the minus ends of microtubules. However, relatively little is known about how the biosynthesis, assembly and functional diversity of the motor is orchestrated. To address this issue, we have conducted an arrayed CRISPR loss-of-function screen in human cells using the distribution of dynein-tethered peroxisomes and early endosomes as readouts. From a guide RNA library targeting 18,253 genes, 195 validated hits were recovered and parsed into those impacting multiple dynein cargoes and those whose effects are restricted to a subset of cargoes. Clustering of high-dimensional phenotypic fingerprints generated from multiplexed images revealed co-functional genes involved in many cellular processes, including several candidate novel regulators of core dynein functions. Mechanistic analysis of one of these proteins, the RNA-binding protein SUGP1, provides evidence that it promotes cargo trafficking by sustaining functional expression of the dynein activator LIS1. Our dataset represents a rich source of new hypotheses for investigating microtubule-based transport, as well as several other aspects of cellular organisation that were captured by our high-content imaging.

Identifiers

PMID36909483
PMCPMC10002790
OpenAlexW4323032396

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read52
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 Socratic graph.