Evidence map›Paper›PMID 33604589›Full record

ArticleFrontiers in genome editing2020

CRISPR Turbo Accelerated KnockOut (CRISPy TAKO) for Rapid

Sonja L Plasil, Amit Seth, Gregg E Homanics

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genome editing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Global deletion ofbioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Sonja L PlasilDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Amit SethDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Gregg E HomanicsDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
University of Pittsburgh · US

Funding

Role of noncoding RNA in alcohol actionU01AA020889 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sean P Farris, Gregg E. Homanics · 2011 to 2026
$7.1M
PREDOCTORAL TRAINING IN PHARMACOLOGICAL SCIENCEST32GM008424 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAGANO, PATRICK J · 1994 to 2019
$3.4M
LNCRNA REGULATION OF GENE EXPRESSION & BEHAVIORR01AA030257 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sean P Farris · 2022 to 2026
$2.8M
NIAAA NIH HHS R01 AA030257NIAAA NIH HHS U01 AA020889NIGMS NIH HHS T32 GM008424
6 · The paper itself

Abstract

The development of CRISPR/Cas9 technology has vastly sped up the process of mammalian genome editing by introducing a bacterial system that can be exploited for reverse genetics-based research. However, generating homozygous functional knockout (KO) animals using traditional CRISPR/Cas9-mediated techniques requires three generations of animals. A founder animal with a desired mutation is crossed to produce heterozygous F1 offspring which are subsequently interbred to generate homozygous F2 KO animals. This study describes an adaptation of the CRISPR/Cas9-mediated method to develop a cohort of homozygous gene-targeted KO animals in one generation. A well-characterized ethanol-responsive gene,

Indexed as

accelerated phenotypic screeningCRISPR/Cas9ethanolfunctional knockoutgenome editingincreased mutagenesis

Identifiers

PMID33604589
PMCPMC7889042
OpenAlexW3093547878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.