Evidence map›Paper›PMID 40661784›Full record

ArticleMolecular therapy. Nucleic acids2025

A proximity-labeling-based approach to directly detect mRNA delivery to specific subcellular locations.

Alfredo D Smart, Merryn E Hughes, Angela Downie Ruiz Velasco, Naoto Hori, Snow Stolnik, Catherine L Jopling

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2025. 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.

No citing paper in PubMed yet.

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

6 authors.

Alfredo D SmartSchool of Pharmacy, University of Nottingham, NG7 2RD Nottingham, UK.
Merryn E HughesSchool of Pharmacy, University of Nottingham, NG7 2RD Nottingham, UK.
Angela Downie Ruiz VelascoSchool of Pharmacy, University of Nottingham, NG7 2RD Nottingham, UK.
Naoto HoriSchool of Pharmacy, University of Nottingham, NG7 2RD Nottingham, UK.
Snow StolnikSchool of Pharmacy, University of Nottingham, NG7 2RD Nottingham, UK.
Catherine L JoplingSchool of Pharmacy, University of Nottingham, NG7 2RD Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Messenger RNA (mRNA) therapeutics show considerable promise but face delivery challenges, as effective cytosolic entry and subsequent translation are normally limited by endosomal entrapment. While various approaches have been used to investigate determinants of effective RNA delivery, these methods tend to be indirect, qualitative, or rely on labeled RNA. There is a need for quantitative approaches that can directly measure mRNA delivery to its functional sites within the cell. Here, we adapted the APEXseq approach for proximity biotinylation and isolation of mRNA at specific subcellular locations. We combined APEX2 labeling with reverse-transcription quantitative PCR to investigate mRNA delivery to the cytoplasm and endoplasmic reticulum, the two major sites of translation, and found it was most effective in the endoplasmic reticulum. We incorporated a biotinylated spike-in RNA to improve existing methodology by allowing normalization of data and optimization of mRNA pull-down conditions. Finally, we combined this method with protein assays to investigate the role of different signal peptides in mRNA delivery to, and translation at, the endoplasmic reticulum. This new approach shows promise as a tool for future investigation of productive delivery of therapeutic mRNA.

Indexed as

APEXendoplasmic reticulummRNA deliveryMT: Delivery Strategiesproximity biotinylationsignal peptide

Identifiers

PMID40661784
PMCPMC12256308

What Socratic holds

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LicenceCC BY
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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 Socratic graph.