Evidence map›Paper›PMID 38014045›Full record

ArticlebioRxiv : the preprint server for biology2023

Integrated multiplexed assays of variant effect reveal

Ian Hoskins, Shilpa Rao, Charisma Tante, Can Cenik

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ian HoskinsDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-2307-3299
Shilpa RaoDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA.
Charisma TanteDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA.
Can CenikDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-6370-0889
The University of Texas at Austin · US

Funding

Single cell quantification of translation control in early mouse developmentR35GM150667 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Can Cenik · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM150667
6 · The paper itself

Abstract

Multiplexed assays of variant effect are powerful methods to profile the consequences of rare variants on gene expression and organismal fitness. Yet, few studies have integrated several multiplexed assays to map variant effects on gene expression in coding sequences. Here, we pioneered a multiplexed assay based on polysome profiling to measure variant effects on translation at scale, uncovering single-nucleotide variants that increase and decrease ribosome load. By combining high-throughput ribosome load data with multiplexed mRNA and protein abundance readouts, we mapped the

Indexed as

COMTMAVEmutagenesisribosome loadRNA secondary structure

Identifiers

PMID38014045
PMCPMC10680568
OpenAlexW4385604236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.