Evidence map›Paper›PMID 37842166›Full record

ReviewMolecular therapy. Nucleic acids2023

CRISPR-Cas9 delivery strategies with engineered extracellular vesicles.

Yaoyao Lu, Kelly Godbout, Gabriel Lamothe, Jacques P Tremblay

Abstract readReview
In one paragraph

Review in Molecular therapy. Nucleic acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Overview of Delivery Methods for Gene Editing.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
  2. Article
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  9. Toward an age of CRISPR delivery with non-viral biologics.Molecular therapy. Nucleic acids · 2026
    Article
  10. Review
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  12. The Role of CRISPR and Its Therapeutic Applications in Glioblastoma.International journal of molecular sciences · 2026
    Review
  13. Review
  14. Review
  15. International journal of biological sciences · 2026
    Review
  16. 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

4 authors.

Yaoyao LuCentre de Recherche du CHU de Québec -Université Laval, Québec city, QC G1V4G2, Canada.
Kelly GodboutCentre de Recherche du CHU de Québec -Université Laval, Québec city, QC G1V4G2, Canada.
Gabriel LamotheCentre de Recherche du CHU de Québec -Université Laval, Québec city, QC G1V4G2, Canada.
Jacques P TremblayCentre de Recherche du CHU de Québec -Université Laval, Québec city, QC G1V4G2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic genome editing has the potential to cure diseases by directly correcting genetic mutations in tissues and cells. Recent progress in the CRISPR-Cas9 systems has led to breakthroughs in gene editing tools because of its high orthogonality, versatility, and efficiency. However, its safe and effective administration to target organs in patients is a major hurdle. Extracellular vesicles (EVs) are endogenous membranous particles secreted spontaneously by all cells. They are key actors in cell-to-cell communication, allowing the exchange of select molecules such as proteins, lipids, and RNAs to induce functional changes in the recipient cells. Recently, EVs have displayed their potential for trafficking the CRISPR-Cas9 system during or after their formation. In this review, we highlight recent developments in EV loading, surface functionalization, and strategies for increasing the efficiency of delivering CRISPR-Cas9 to tissues, organs, and cells for eventual use in gene therapies.

Indexed as

CRISPR-Cas9deliveryextracellular vesiclesgene therapyMT: Exploiting Extracellular Vesicles as Therapeutic Agents Special Issuetissue targeting

Identifiers

PMID37842166
PMCPMC10571031

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.