Evidence map›Paper›PMID 39712388›Full record

ArticleExtracellular vesicle2024

An extracellular vesicle delivery platform based on the PTTG1IP protein.

Carla Martin Perez, Xiuming Liang, Dhanu Gupta, Emily R Haughton, Mariana Conceição, Imre Mäger, Samir El Andaloussi, Matthew J A Wood, Thomas C Roberts

Abstract read
In one paragraph

Article in Extracellular vesicle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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  3. Article
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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

9 authors.

Carla Martin PerezDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Xiuming LiangBiomolecular Medicine, Clinical Research Center, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Dhanu GuptaDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Emily R HaughtonDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Mariana ConceiçãoDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Imre MägerDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Samir El AndaloussiBiomolecular Medicine, Clinical Research Center, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Matthew J A WoodDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Thomas C RobertsDepartment of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are promising therapeutic delivery vehicles, although their potential is limited by a lack of efficient engineering strategies to enhance loading and functional cargo delivery. Using an in-house bioinformatics analysis, we identified N-glycosylation as a putative EV-sorting feature. PTTG1IP (a small, N-glycosylated, single-spanning transmembrane protein) was found to be a suitable scaffold for EV loading of therapeutic cargoes, with loading dependent on its N-glycosylation at two arginine residues. Chimeric proteins consisting of PTTG1IP fused with various cargo proteins, and separated by self-cleaving sequences (to promote cargo release), were shown to enable highly efficient functional delivery of Cre protein to recipient cell cultures and mouse xenograft tumors, and delivery of Cas9-sgRNA complexes to recipient reporter cells. The favorable membrane topology of PTTG1IP enabled facile engineering of further variants with improved properties, highlighting its versatility and potential as a platform for EV-based therapeutics.

Indexed as

CRISPR-Cas9EVExosomeExtracellular vesiclePTTG1IP

Identifiers

PMID39712388
PMCPMC11655445

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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.