Evidence map›Paper›PMID 36702900›Full record

ArticleNature biotechnology2023

Massively parallel knock-in engineering of human T cells.

Xiaoyun Dai, Jonathan J Park, Yaying Du, Zhenkun Na, Stanley Z Lam, Ryan D Chow, Paul A Renauer, Jianlei Gu, Shan Xin, Zhiyuan Chu and 5 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Regulators of CD8Nature reviews. Immunology · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. A unified genetic perturbation language for human cellular programming.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Engineering resilient CAR T cells for immunosuppressive environment.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Xiaoyun Dai *Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-6162-5202
Jonathan J Park *Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5887-3953
Yaying Du *Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-3213-5722
Zhenkun Na *Department of Chemistry, Yale University, New Haven, CT, USA.
Stanley Z Lam *Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Ryan D ChowDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-1872-6307
Paul A RenauerDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Jianlei GuDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, USA.
Shan XinDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-4735-0935
Zhiyuan ChuDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Cun LiaoDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Paul ClarkDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Hongyu ZhaoDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-1195-9607
Sarah SlavoffDepartment of Chemistry, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-4443-2070
Sidi ChenDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA. sidi.chen@yale.edu.ORCID http://orcid.org/0000-0002-3819-5005

Funding

Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
(PQ4) Novel tools for in vivo study of genetic interactions in cancer progressionR01CA231112 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2018 to 2022
$3.0M
High-throughput in vivo genetics for immunotherapy target discoveryDP2CA238295 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2018 to 2018
$2.5M
New approaches for single cell tagging, editing and profiling of glial cells in vivoRF1DA048811 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HONG, WEIZHE · 2019 to 2019
$2.4M
Structural and functional roles of the microprotein NoBody in mRNA decapping and decayR01GM122984 · NIGMS · YALE UNIVERSITY · PI SLAVOFF, SARAH ANN · 2017 to 2021
$1.6M
Rapidly scalable platforms for direct in vivo screening of functional drivers in lethal cancersR33CA225498 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2019 to 2021
$1.2M
Mechanosensation in tumorigenesis and metastasisF30CA250249 · NCI · YALE UNIVERSITY · PI CHOW, RYAN D · 2020 to 2022
$113k
NCI NIH HHS DP2 CA238295NCI NIH HHS F30 CA250249NCI NIH HHS R01 CA231112NCI NIH HHS R33 CA225498NIDA NIH HHS RF1 DA048811NIGMS NIH HHS R01 GM122984NIGMS NIH HHS T32 GM007499NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

The efficiency of targeted knock-in for cell therapeutic applications is generally low, and the scale is limited. In this study, we developed CLASH, a system that enables high-efficiency, high-throughput knock-in engineering. In CLASH, Cas12a/Cpf1 mRNA combined with pooled adeno-associated viruses mediate simultaneous gene editing and precise transgene knock-in using massively parallel homology-directed repair, thereby producing a pool of stably integrated mutant variants each with targeted gene editing. We applied this technology in primary human T cells and performed time-coursed CLASH experiments in blood cancer and solid tumor models using CD3, CD8 and CD4 T cells, enabling pooled generation and unbiased selection of favorable CAR-T variants. Emerging from CLASH experiments, a unique CRISPR RNA (crRNA) generates an exon3 skip mutant of PRDM1 in CAR-Ts, which leads to increased proliferation, stem-like properties, central memory and longevity in these cells, resulting in higher efficacy in vivo across multiple cancer models, including a solid tumor model. The versatility of CLASH makes it broadly applicable to diverse cellular and therapeutic engineering applications.

Indexed as

Bacterial ProteinsGene EditingCD4-Positive T-LymphocytesCRISPR-Cas SystemsHumansRNABacterial ProteinsRNA

Identifiers

PMID36702900
PMCPMC11260498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.