Evidence map›Paper›PMID 29215090›Full record

ReviewJournal of human genetics2018

In vivo genome editing via the HITI method as a tool for gene therapy.

Keiichiro Suzuki, Juan Carlos Izpisua Belmonte

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. SUMO conjugation to promoter-proximal sequence elements-associated proteins impacts on snRNA transcription.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Hide-and-Seek genome editing reveals that Gephyrin is required for axo-axonic synapse assembly.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. GEARBOCS: An Adeno Associated Virus Tool forbioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

17 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

2 authors.

Keiichiro SuzukiInstitute for Advanced Co-Creation Studies, Osaka University, Suita, Japan. ksuzuki@chem.es.osaka-u.ac.jp.
Juan Carlos Izpisua BelmonteGene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, USA.ORCID http://orcid.org/0000-0003-0557-8875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using genome-editing technologies to correct specific mutations represents a potentially transformative new approach for treating genetic disorders. Despite rapid advances in the field of genome editing, it is still unclear whether the long-standing goal of in vivo targeted transgene integration is feasible. This is primarily because current tools are inefficient. In particular, current technologies are incapable of targeted gene knock-in in non-dividing cells, the major building blocks of adult tissues. This poses a significant barrier for developing therapeutic strategies to treat a broad range of devastating genetic disorders. Recently, our group has developed a unique CRISPR/Cas9-based strategy, termed homology-independent targeted insertion (HITI), which enables targeted gene insertion in non-dividing cells, both in vitro and in vivo. This review will summarize current progress in developing this technology, and discuss the potential impact of HITI-based gene-correction therapies.

Indexed as

Genetic VectorsGene EditingGenetic TherapyHumans

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.