Monitoring autochthonous lung tumors induced by somatic CRISPR gene editing in mice using a secreted luciferase

Nastasja Merle1, Sabrina Elmshäuser1, Florian Strassheimer1

  • 1Institute of Molecular Oncology, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Philipps-University, Marburg, Germany.

Molecular Cancer
|October 3, 2022
PubMed
Abstract

Insights

Researchers developed a novel reporter mouse and adenovirus toolkit for rapid, blood-based monitoring of autochthonous tumors. This method enables efficient, animal-friendly preclinical studies by tracking tumor growth non-invasively.

Area of Science:

  • Biomedical Research
  • Cancer Biology
  • Gene Editing Technologies

Background:

  • CRISPR gene editing enables autochthonous mouse tumor models relevant to human disease.
  • Longitudinal monitoring of these tumors is challenging due to complex imaging requirements and variable growth times.

Purpose of the Study:

  • To develop a more efficient and accessible method for monitoring autochthonous tumor growth in preclinical studies.
  • To establish a blood-based reporter system for quantifying viable tumor load.

Main Methods:

  • Generation of a reporter mouse expressing Cre-inducible Gaussia princeps luciferase (GLuc).
  • Development of a toolkit for rapid assembly of recombinant adenoviruses (AVs) delivering Cre and CRISPR nucleases.
  • Intratracheal delivery of CRISPR-AVs to induce lung tumors and GLuc expression.

Main Results:

  • Efficient induction of lung tumors with simultaneous GLuc transgene activation in reporter mice.
  • GLuc secretion into the blood, quantifiable in small samples, reflects viable tumor load.
  • Blood GLuc levels accurately mirror tumor development kinetics and enable early detection.

Conclusions:

  • Blood-based GLuc monitoring offers an inexpensive, rapid, high-throughput, and animal-friendly approach for longitudinal monitoring of autochthonous tumors.
  • This method significantly improves the utility of autochthonous tumor models in preclinical research.