Evidence map›Paper›PMID 35585651›Full record

ArticleJournal of extracellular vesicles2022

Engineered Cas9 extracellular vesicles as a novel gene editing tool.

Xabier Osteikoetxea, Andreia Silva, Elisa Lázaro-Ibáñez, Nikki Salmond, Olga Shatnyeva, Josia Stein, Jan Schick, Stephen Wren, Julia Lindgren, Mike Firth and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
8.9field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  12. Nature Inspired Delivery Vehicles for CRISPR-Based Genome Editing.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
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23 more citing papers are in PubMed but not listed here.

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 4 institutions in 10 countries.

Xabier OsteikoetxeaDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK.ORCID 0000-0003-3628-0174
Andreia SilvaDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Elisa Lázaro-IbáñezDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.ORCID 0000-0002-3542-7069
Nikki SalmondDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK.ORCID 0000-0001-5126-5592
Olga ShatnyevaDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.ORCID 0000-0003-1524-9899
Josia SteinDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK.ORCID 0000-0003-1203-1990
Jan SchickDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK.ORCID 0000-0002-5752-1566
Stephen WrenGlobal Product Development, Pharmaceutical Technology & Development, AstraZeneca, Macclesfield, UK.
Julia LindgrenTranslational Genomics, Discovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.ORCID 0000-0002-3566-2069
Mike FirthQuantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Alexandra MadsenGenome Engineering, Discovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Lorenz M MayrDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Ross OvermanDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK.ORCID 0000-0001-8729-9735
Rick DaviesDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Alderley Park, UK.
Niek DekkerDiscovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
AstraZeneca (United Kingdom) · GBAstraZeneca (Japan) · JPAstraZeneca (Finland) · FISemmelweis University · HU

Funding

European Union's Horizon 2020 Research and Innovation Programme 739593
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have shown promise as biological delivery vehicles, but therapeutic applications require efficient cargo loading. Here, we developed new methods for CRISPR/Cas9 loading into EVs through reversible heterodimerization of Cas9-fusions with EV sorting partners. Cas9-loaded EVs were collected from engineered Expi293F cells using standard methodology, characterized using nanoparticle tracking analysis, western blotting, and transmission electron microscopy and analysed for CRISPR/Cas9-mediated functional gene editing in a Cre-reporter cellular assay. Light-induced dimerization using Cryptochrome 2 combined with CD9 or a Myristoylation-Palmitoylation-Palmitoylation lipid modification resulted in efficient loading with approximately 25 Cas9 molecules per EV and high functional delivery with 51% gene editing of the Cre reporter cassette in HEK293 and 25% in HepG2 cells, respectively. This approach was also effective for targeting knock-down of the therapeutically relevant PCSK9 gene with 6% indel efficiency in HEK293. Cas9 transfer was detergent-sensitive and associated with the EV fractions after size exclusion chromatography, indicative of EV-mediated transfer. Considering the advantages of EVs over other delivery vectors we envision that this study will prove useful for a range of therapeutic applications, including CRISPR/Cas9 mediated genome editing.

Indexed as

Extracellular VesiclesGene EditingCRISPR-Cas SystemsHEK293 CellsHumansProprotein Convertase 9PCSK9 protein, humanProprotein Convertase 9CRISPR/Cas9 deliveryexosomesextracellular vesiclesgene editingoptogenetics

Identifiers

PMID35585651
PMCPMC9117459
OpenAlexW4280572014

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.