Evidence map›Paper›PMID 37839785›Full record

ArticleDevelopmental biology2024

A robust knock-in approach using a minimal promoter and a minicircle.

Margaret Keating, Ryan Hagle, Daniel Osorio-Méndez, Anjelica Rodriguez-Parks, Sarah I Almutawa, Junsu Kang

Open access · greenAbstract read
In one paragraph

Article in Developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Advancing Knock-In Approaches for Robust Genome Editing in Zebrafish.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Harnessing the regenerative potential ofbioRxiv : the preprint server for biology · 2024
    Article
  6. Science advances · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Margaret KeatingDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Ryan HagleDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Daniel Osorio-MéndezDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Anjelica Rodriguez-ParksDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Sarah I AlmutawaDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Junsu KangDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA; UW Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, 53705, USA. Electronic address: junsu.kang@wisc.edu.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
Molecular and Genetic Analysis of Fin Regeneration in ZebrafishR35GM137878 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Junsu Kang · 2020 to 2026
$3.1M
Dissecting injury-responsive gene expression during zebrafish heart regenerationR01HL151522 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Junsu Kang · 2021 to 2026
$2.6M
A Point-Scanning Confocal Microscope for the Biomedical SciencesS10OD034394 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI MERRINS, MATTHEW J. · 2023 to 2023
$537k
NCI NIH HHS P30 CA014520NHLBI NIH HHS R01 HL151522NIGMS NIH HHS R35 GM137878NIGMS NIH HHS T32 GM007133NIH HHS S10 OD034394
6 · The paper itself

Abstract

Knock-in reporter (KI) animals are essential tools in biomedical research to study gene expression impacting diverse biological events. While CRISPR/Cas9-mediated genome editing allows for the successful generation of KI animals, several factors should be considered, such as low expression of the target gene, prevention of bacterial DNA integration, and in-frame editing. To circumvent these challenges, we developed a new strategy that utilizes minicircle technology and introduces a minimal promoter. We demonstrated that minicircles serve as an efficient donor DNA in zebrafish, significantly enhancing KI events compared to plasmids containing bacterial backbones. In an attempt to generate a KI reporter for scn8ab, we precisely integrated a fluorescence gene at the start codon. However, the seamlessly integrated reporter was unable to direct expression that recapitulates endogenous scn8ab expression. To overcome this obstacle, we introduced the hsp70 minimal promoter to provide an ectopic transcription initiation site and succeeded in establishing stable KI transgenic reporters for scn8ab. This strategy also created a fgf20b KI reporter line with a high success rate. Furthermore, our data revealed that an unexpectedly edited genome can inappropriately influence the integrated reporter gene expression, highlighting the importance of selecting a proper KI line. Overall, our approach utilizing a minicircle and an ectopic promoter establishes a robust and efficient strategy for KI generation, expanding our capacity to create KI animals.

Indexed as

CRISPR-Cas SystemsZebrafishAnimalsAnimals, Genetically ModifiedGene EditingGene Knock-In TechniquesCRISPR/Cas9fgf20bKnock-inMinicirclescn8abZebrafish

Identifiers

PMID37839785
PMCPMC10841522
OpenAlexW4387642952

What OpenQuestion holds

Textmetadata
LicenceTDM
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.