Evidence map›Paper›PMID 37188955›Full record

ArticleNature methods2023

Massively parallel evaluation and computational prediction of the activities and specificities of 17 small Cas9s.

Sang-Yeon Seo, Seonwoo Min, Sungtae Lee, Jung Hwa Seo, Jinman Park, Hui Kwon Kim, Myungjae Song, Dawoon Baek, Sung-Rae Cho, Hyongbum Henry Kim

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Recent advances in therapeutic gene-editing technologies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
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

10 authors at 2 institutions in 1 country.

Sang-Yeon SeoDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-4799-1652
Seonwoo MinLG AI Research, Seoul, Republic of Korea.
Sungtae LeeDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jung Hwa SeoGraduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jinman ParkDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hui Kwon KimDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0694-9244
Myungjae SongDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4256-4384
Dawoon BaekDepartment and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3794-6153
Sung-Rae ChoGraduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1429-2684
Hyongbum Henry KimDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea. hkim1@yuhs.ac.ORCID http://orcid.org/0000-0002-4693-738X
Yonsei University · KRLG (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, various small Cas9 orthologs and variants have been reported for use in in vivo delivery applications. Although small Cas9s are particularly suited for this purpose, selecting the most optimal small Cas9 for use at a specific target sequence continues to be challenging. Here, to this end, we have systematically compared the activities of 17 small Cas9s for thousands of target sequences. For each small Cas9, we have characterized the protospacer adjacent motif and determined optimal single guide RNA expression formats and scaffold sequence. High-throughput comparative analyses revealed distinct high- and low-activity groups of small Cas9s. We also developed DeepSmallCas9, a set of computational models predicting the activities of the small Cas9s at matched and mismatched target sequences. Together, this analysis and these computational models provide a useful guide for researchers to select the most suitable small Cas9 for specific applications.

Indexed as

CRISPR-Cas SystemsGene Editing

Identifiers

PMID37188955
OpenAlexW4376618077

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.