Evidence map›Paper›PMID 40521662›Full record

ArticleNucleic acids research2025

A flexible, high-throughput system for studying live mRNA translation with HiBiT technology.

Camilla Ascanelli, Elsa Lawrence, Christopher A P Batho, Catherine H Wilson

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Camilla AscanelliDepartment of Pharmacology, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1PD, United Kingdom.
Elsa LawrenceDepartment of Pharmacology, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1PD, United Kingdom.
Christopher A P BathoDepartment of Pharmacology, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1PD, United Kingdom.
Catherine H WilsonDepartment of Pharmacology, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1PD, United Kingdom.ORCID 0000-0002-5333-0295

Funding

British Heart Foundation G114642Cambridge BHF Centre of Research Excellence Studentship RG96157Royal Society research G122960
6 · The paper itself

Abstract

HiBiT is an engineered luciferase's 11-amino-acid component that can be introduced as a tag at either terminus of a protein of interest. When the LgBiT component and a substrate are present, HiBiT and LgBiT dimerize forming a functional luciferase. The HiBiT technology has been extensively used for high-throughput protein turnover studies in cells. Here, we have adapted the use of the HiBiT technology to quantify messenger RNA (mRNA) translation temporally in vitro in the rabbit reticulocyte system and in cellulo in HEK293 cells constitutively expressing LgBiT. The assay system can uniquely detect differences in cap, 5'UTR, modified nucleotide composition, coding sequence optimization and poly(A) length, and their effects on mRNA translation over time. Importantly, using these assays we established the optimal mRNA composition varied depending on the encoded protein of interest, highlighting the importance of screening methods tailored to the protein of interest, and not reliant on reporter proteins. Our findings demonstrated that HiBiT can be easily and readily adapted to monitor real-time mRNA translation in live cells and offers a novel and highly favourable method for the development of mRNA-based therapeutics.

Indexed as

High-Throughput Screening AssaysLuciferasesProtein BiosynthesisRNA, MessengerTranslating5' Untranslated RegionsAnimalsHEK293 CellsHumansRabbitsReticulocytesRNA Caps5' Untranslated RegionsLuciferasesRNA CapsRNA, Messenger

Identifiers

PMID40521662
PMCPMC12168084

What OpenQuestion holds

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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.