Evidence map›Paper›PMID 38207021›Full record

ArticleScience (New York, N.Y.)2024

Antibody production relies on the tRNA inosine wobble modification to meet biased codon demand.

Sophie Giguère, Xuesong Wang, Sabrina Huber, Liling Xu, John Warner, Stephanie R Weldon, Jennifer Hu, Quynh Anh Phan, Katie Tumang, Thavaleak Prum and 5 more

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. tRNA mEMBO reports · 2026
    Article
  4. Article
  5. Article
  6. Humanized mice enableMolecular therapy. Advances · 2026
    Article
  7. Article
  8. Sex-biased duplicates are rapidly generated duringbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. NSUN2-tRNACellular & molecular biology letters · 2025
    Article
  13. Article
  14. Article
  15. Queuosine tRNA Modification: Connecting the Microbiome to the Translatome.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  16. Article
  17. Article
  18. Structure and sequence engineering approaches to improve in vivo expression of nucleic acid-delivered antibodies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  19. Article
  20. 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

15 authors at 3 institutions in 2 countries.

Sophie GiguèreThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0000-0001-7961-829X
Xuesong WangThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0009-0003-8996-1501
Sabrina HuberDepartment of Biological Engineering, MIT, Cambridge, MA 02139, USA.
Liling XuThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0009-0001-4477-5380
John WarnerThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.
Stephanie R WeldonThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0000-0001-5384-9946
Jennifer HuDepartment of Biological Engineering, MIT, Cambridge, MA 02139, USA.
Quynh Anh PhanThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0000-0003-2199-262X
Katie TumangThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0009-0001-5710-7154
Thavaleak PrumThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0009-0004-6973-5053
Duanduan MaBioMicro Center, MIT, Cambridge, MA 02139, USA.
Kathrin H KirschThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.
Usha NairThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0000-0002-1927-6889
Peter DedonDepartment of Biological Engineering, MIT, Cambridge, MA 02139, USA.ORCID 0000-0003-0011-3067
Facundo D BatistaThe Ragon Institute of Mass General, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA.ORCID 0000-0002-1130-9463
Ragon Institute of MGH, MIT and Harvard · USIIT@MIT · USHarvard University · US

Funding

Identification of neutralizing epitopes on SARS-CoV-2 spike for design of vaccines and small-molecule antiviralsUM1AI144462 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BURTON, DENNIS R. · 2019 to 2025
$201.6M
Translational regulation during cigarette smoking-induced reprogramming of the tRNA epitranscriptome, in vitro and in a mouse smoking modelR01ES031529 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI BEGLEY, THOMAS J · 2020 to 2024
$1.9M
NIAID NIH HHS UM1 AI144462NIEHS NIH HHS R01 ES031529NIH HHS ES031529
6 · The paper itself

Abstract

Antibodies are produced at high rates to provide immunoprotection, which puts pressure on the B cell translational machinery. Here, we identified a pattern of codon usage conserved across antibody genes. One feature thereof is the hyperutilization of codons that lack genome-encoded Watson-Crick transfer RNAs (tRNAs), instead relying on the posttranscriptional tRNA modification inosine (I34), which expands the decoding capacity of specific tRNAs through wobbling. Antibody-secreting cells had increased I34 levels and were more reliant on I34 for protein production than naïve B cells. Furthermore, antibody I34-dependent codon usage may influence B cell passage through regulatory checkpoints. Our work elucidates the interface between the tRNA pool and protein production in the immune system and has implications for the design and selection of antibodies for vaccines and therapeutics.

Indexed as

AntibodiesAntibody FormationB-LymphocytesCodon UsageImmunoglobulin Heavy ChainsInosineRNA, TransferCodonHumansAntibodiesCodonImmunoglobulin Heavy ChainsInosineRNA, Transfer

Identifiers

PMID38207021
PMCPMC10954030
OpenAlexW4390792956

What OpenQuestion holds

Textmetadata
LicenceTDM
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.