Evidence map›Paper›PMID 39994779›Full record

ArticleIUBMB life2025

Purification and validation of asparaginyl-tRNA synthetase heterodimer with indistinguishable subunits.

Ingrid Vallee, Ryan Shapiro, Xiang-Lei Yang

Abstract read
In one paragraph

Article in IUBMB life, 2025. 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. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ingrid ValleeDepartment of Molecular Medicine, The Scripps Research Institute, La Jolla, California, USA.ORCID 0000-0002-3406-338X
Ryan ShapiroDepartment of Molecular Medicine, The Scripps Research Institute, La Jolla, California, USA.
Xiang-Lei YangDepartment of Molecular Medicine, The Scripps Research Institute, La Jolla, California, USA.

Funding

Link extracellular function of tRNA synthetase with pathological mechanism of diseaseR35GM139627 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI YANG, XIANG-LEI · 2021 to 2025
$2.3M
NIGMS NIH HHS R35 GM139627NIH HHS R35 GM139627
6 · The paper itself

Abstract

Oligomerization can influence the stability and activity of a protein. The majority of enzymes, including aminoacyl-tRNA synthetases, become catalytically active upon forming homodimers. Residues located at the dimerization interface are highly conserved and mutations arising within can cause severe disease phenotypes. Beyond homozygous mutations, other disease-causing mutations, such as compound heterozygous and mono-allelic mutations, can lead to the formation of heterodimers between two distinct subunits. Purifying a recombinant heterodimer is required for its thorough characterization in vitro, yet there is a lack of established biochemical methods for the preparation. Here we describe a heterodimer purification and validation method with the example of a disease-causing mono-allelic, nonsense mutation R534* in cytoplasmic asparaginyl-tRNA synthetase (NARS1 or AsnRS). Our method involves co-expression of two separately tagged constructs to allow for purification of the wild-type and the R534* mutant heterodimers. While the two subunits can hardly be distinguished by size, their separate detection is achieved by western blotting against the tags. Quantification analysis confirmed that the subunits within the heterodimer are present in nearly equal proportions. This simple protocol can be adapted to study other size-indistinguishable heterodimers.

Indexed as

Aspartate-tRNA LigaseRNA, Transfer, Amino AcylEscherichia coliHumansProtein MultimerizationProtein SubunitsRecombinant Proteinsasparaginyl-tRNA synthetaseAspartate-tRNA LigaseProtein SubunitsRecombinant ProteinsRNA, Transfer, Amino Acyl

Identifiers

PMID39994779
PMCPMC11864589

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Registered trials

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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.