Evidence map›Paper›PMID 38212493›Full record

ArticleNature biotechnology2024

In vivo human T cell engineering with enveloped delivery vehicles.

Jennifer R Hamilton, Evelyn Chen, Barbara S Perez, Cindy R Sandoval Espinoza, Min Hyung Kang, Marena Trinidad, Wayne Ngo, Jennifer A Doudna

Abstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing 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

164 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Chemically modified CRISPR enzymes for multi-organ genome editingbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Nanomaterials Drive In Vivo CAR Immune Cells Engineering.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  15. Review
  16. Article
  17. Editor's pick: Stylus Medicine.Nature biotechnology · 2026
    Article
  18. Article
  19. Review
  20. Review

104 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

8 authors.

Jennifer R HamiltonDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-7136-1757
Evelyn ChenDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-1102-6997
Barbara S PerezDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.
Cindy R Sandoval EspinozaDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-2308-0413
Min Hyung KangDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.
Marena TrinidadDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.
Wayne NgoGladstone Institutes, San Francisco, CA, USA.
Jennifer A DoudnaDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA. doudna@berkeley.edu.ORCID http://orcid.org/0000-0001-9161-999X

Funding

Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
Expanding CRISPR-Cas editing technology through exploration of novel Cas proteins and DNA repair systemsU01AI142817 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI BANFIELD, JILLIAN, DOUDNA, JENNIFER A · 2018 to 2022
$2.0M
Uncovering cell-intrinsic restrictions to CRISPR-Cas9 gene editingK99GM143461 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HAMILTON, JENNIFER R · 2022 to 2023
$214k
NHGRI NIH HHS RM1 HG009490NIAID NIH HHS U01 AI142817NIGMS NIH HHS K99 GM143461U.S. Department of Health & Human Services | National Institutes of Health (NIH) RM1HG009490U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01AI142817-02U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) K99GM143461-01A1
6 · The paper itself

Abstract

Viruses and virally derived particles have the intrinsic capacity to deliver molecules to cells, but the difficulty of readily altering cell-type selectivity has hindered their use for therapeutic delivery. Here, we show that cell surface marker recognition by antibody fragments displayed on membrane-derived particles encapsulating CRISPR-Cas9 protein and guide RNA can deliver genome editing tools to specific cells. Compared to conventional vectors like adeno-associated virus that rely on evolved capsid tropisms to deliver virally encoded cargo, these Cas9-packaging enveloped delivery vehicles (Cas9-EDVs) leverage predictable antibody-antigen interactions to transiently deliver genome editing machinery selectively to cells of interest. Antibody-targeted Cas9-EDVs preferentially confer genome editing in cognate target cells over bystander cells in mixed populations, both ex vivo and in vivo. By using multiplexed targeting molecules to direct delivery to human T cells, Cas9-EDVs enable the generation of genome-edited chimeric antigen receptor T cells in humanized mice, establishing a programmable delivery modality with the potential for widespread therapeutic utility.

Indexed as

CRISPR-Cas SystemsGene EditingT-LymphocytesAnimalsCell EngineeringGenetic VectorsGene Transfer TechniquesHumansMice

Identifiers

PMID38212493
PMCPMC11236958

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.