Evidence map›Paper›PMID 33489675›Full record

Article3 Biotech2021

Improved efficiency of genome editing by constitutive expression of Cas9 endonuclease in genetically-modified mice.

Bita Ghassemi, Monire Jamalkhah, Gelareh Shokri, Mousa Kehtari, Masoud Soleimani, Mehdi Shamsara, Jafar Kiani

Open access · greenAbstract read
In one paragraph

Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 6 institutions in 2 countries.

Bita GhassemiDivision of Continuing Education, University of California Irvine, Irvine, CA USA.
Monire JamalkhahDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
Gelareh ShokriDepartment of Molecular Biology and Genetic Engineering, Stem Cell Technology Research Center, Tehran, Iran.
Mousa KehtariDepartment of Stem Cell Biology, Stem Cell Technology Research Center, Tehran, Iran.
Masoud SoleimaniHematology Department, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Mehdi ShamsaraDepartment of Animal Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Jafar KianiCellular and Molecular Research Centre, Iran University of Medical Sciences, Iran University of Medical Sciences, Shahid Hemmat Highway, Tehran, Iran.ORCID 0000-0002-5907-5846
Stem Cell Technology Research Center · IRIran University of Medical Sciences · IRNational Institute of Genetic Engineering and Biotechnology · IRTarbiat Modares University · IRUniversity of California, Irvine · USUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite its convenience and precision, CRISPR-based gene editing approaches still suffer from off-target effects and low efficiencies, which are partially rooted in Cas9, the nuclease component of the CRISPR/Cas9 system. In this study, we showed how mouse genome editing efficiency can be improved by constitutive and inheritable expression of Cas9 nuclease. For this goal, a transgenic mouse line expressing the Cas9 protein (Cas9-mouse) was generated. For in vitro assessment of gene editing efficiency, the Cas9-mice were crossed with the EGFP-mice to obtain mouse embryonic fibroblasts (MEF) expressing both EGFP and Cas9 (MEF

Indexed as

CRISPR-Cas9Gene knock-outGenetically-modified cells and miceMicroinjection

Identifiers

PMID33489675
PMCPMC7801580
OpenAlexW3119315574

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.