Evidence map›Paper›PMID 32670508›Full record

ArticleComputational and structural biotechnology journal2020

CRISPR-sub: Analysis of DNA substitution mutations caused by CRISPR-Cas9 in human cells.

Gue-Ho Hwang, Jihyeon Yu, Soyeon Yang, Woo Jae Son, Kayeong Lim, Heon Seok Kim, Jin-Soo Kim, Sangsu Bae

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Establishment of CRISPR/Cas9 Genome Editing inJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Development ofFrontiers in genome editing · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Atomic-scale insights into allosteric inhibition and evolutional rescue mechanism ofComputational and structural biotechnology journal · 2021
    Article
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 at 4 institutions in 2 countries.

Gue-Ho HwangDepartment of Chemistry, Hanyang University, Seoul 04763, South Korea.
Jihyeon YuDepartment of Chemistry, Hanyang University, Seoul 04763, South Korea.
Soyeon YangDepartment of Chemistry, Hanyang University, Seoul 04763, South Korea.
Woo Jae SonDepartment of Chemistry, Hanyang University, Seoul 04763, South Korea.
Kayeong LimCenter for Genome Engineering, Institute for Basic Science, Seoul 08826, South Korea.
Heon Seok KimDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jin-Soo KimCenter for Genome Engineering, Institute for Basic Science, Seoul 08826, South Korea.
Sangsu BaeDepartment of Chemistry, Hanyang University, Seoul 04763, South Korea.
Hanyang University · KRInstitute for Basic Science · KRSeoul National University · KRStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR-Cas9 induces DNA cleavages at desired target sites in a guide RNA-dependent manner; DNA editing occurs through the resulting activity of DNA repair processes including non-homologous end joining (NHEJ), which is dominant in mammalian cells. NHEJ repair frequently causes small insertions and deletions (indels) near DNA cleavage sites but only rarely causes nucleotide substitutions. High-throughput sequencing is the primary means of assessing indel and substitution frequencies in bulk populations of cells in the gene editing field. However, it is difficult to detect bona fide substitutions, which are embedded among experimentally-induced substitution errors, in high-throughput sequencing data. Here, we developed a novel analysis method, named CRISPR-Sub, to statistically detect Cas9-mediated substitutions in high-throughput sequencing data by comparing Mock- and CRISPR-treated samples. We first pinpointed 'hotspot positions' in target sequences at which substitution mutations were quantitatively observed much more often (p > 0.001) in CRISPR- versus Mock-treated samples. We refer to the substitution mutations in defined hotspot positions as 'apparent substitutions' and ultimately calculated 'apparent substitution frequencies' for each target. By examining 51 endogenous target sites in HeLa cells, we found that the average apparent substitution frequency was 0.8% in all queries, that apparent substitutions frequently occur near CRISPR-Cas9 cleavage sites, and that nucleotide conversion showed no meaningful nucleotide preference patterns. Furthermore, we generated NHEJ-inhibited cell lines (

Indexed as

CRISPR-Cas9DNA repairHigh-throughput sequencingNon-homologous end joiningSubstitution

Identifiers

PMID32670508
PMCPMC7338987
OpenAlexW3038121973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.