Evidence map›Paper›PMID 38659825›Full record

ArticlebioRxiv : the preprint server for biology2024

Multiplexed, multimodal profiling of the intracellular activity, interactions, and druggability of protein variants using LABEL-seq.

Jessica J Simon, Douglas M Fowler, Dustin J Maly

Open access · greenAbstract 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. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Jessica J SimonDepartment of Chemistry, University of Washington, Seattle, WA, United States.ORCID 0009-0006-5295-0608
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-7614-1713
Dustin J MalyDepartment of Chemistry, University of Washington, Seattle, WA, United States.ORCID 0000-0003-0094-0177
University of Washington · US

Funding

New Molecular Probes For Protein KinasesR01GM086858 · NIGMS · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J · 2008 to 2025
$5.5M
Chemical Genetic Analysis of RAS SignalingR01GM145011 · NIGMS · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J · 2022 to 2025
$1.5M
NIGMS NIH HHS R01 GM086858NIGMS NIH HHS R01 GM145011
6 · The paper itself

Abstract

Multiplexed assays of variant effect are powerful tools for assessing the impact of protein sequence variation, but are limited to measuring a single protein property and often rely on indirect readouts of intracellular protein function. Here, we developed LAbeling with Barcodes and Enrichment for biochemicaL analysis by sequencing (LABEL-seq), a platform for the multimodal profiling of thousands of protein variants in cultured human cells. Multimodal measurement of ~20,000 variant effects for ~1,600 BRaf variants using LABEL-seq revealed that variation at positions that are frequently mutated in cancer had minimal effects on folding and intracellular abundance but could dramatically alter activity, protein-protein interactions, and druggability. Integrative analysis of our multimodal measurements identified networks of positions with similar roles in regulating BRaf's signaling properties and enabled predictive modeling of variant effects on complex processes such as cell proliferation and small molecule-promoted degradation. LABEL-seq provides a scalable approach for the direct measurement of multiple biochemical effects of protein variants in their native cellular context, yielding insight into protein function, disease mechanisms, and druggability.

Identifiers

PMID38659825
PMCPMC11042325
OpenAlexW4394987435

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.