Evidence map›Paper›PMID 42771309›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2027

Overview of Delivery Methods for Gene Editing.

Bilge Debelec Butuner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2027. 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

1 author.

Bilge Debelec ButunerFaculty of Pharmacy, Department of Pharmaceutical Biotechnology, Ege University, Izmir, Türkiye. bilge.debelec@ege.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical success of CRISPR-based interventions depends primarily on the efficient delivery of editing components into target cells. While base and prime editing have refined genomic precision, achieving therapeutic efficacy requires specialized vehicles that can navigate systemic circulation, escape endosomes, and ensure cell-specific entry. Delivery platforms are traditionally categorized into viral and nonviral systems. Viral vectors, namely adeno-associated vectors (AAV), lentiviral vectors, and adenoviral vectors, employ evolved mechanisms to achieve high transduction efficiency and predictable biodistribution, yet remain constrained by immunogenicity and the risk of insertional mutagenesis. In contrast, nonviral approaches, including synthetic nanoparticles and physical methods, offer superior scalability and transient expression profiles, reducing long-term genomic risks. Next-generation platforms such as virus-like particles (VLPs), engineered extracellular vesicles (EVs), and functionalized nanoparticles have emerged to bridge this gap. These hybrid systems synergize the entry efficiency of viral proteins with the low-immunogenicity profiles of synthetic carriers. Ultimately, the optimal delivery method is determined by the CRISPR cargo format and target cell characteristics, balancing safety, immunogenicity, and scalability. This chapter emphasizes that the strategic selection of a delivery vehicle must be harmonized with the specific cargo and the unique biological requirements of the target tissue to ensure therapeutic success.

Indexed as

Gene EditingGenetic VectorsGene Transfer TechniquesAnimalsCRISPR-Cas SystemsGenetic TherapyHumansNanoparticlesCRISPR deliveryGenome editingNonviral deliveryPhysical deliveryViral vectors

Identifiers

What OpenQuestion holds

Textmetadata
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.