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Updated: Jun 19, 2026

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
Published on: August 25, 2023
Functional identification of tumor-suppressor genes through an in vivo RNA interference screen in a mouse lymphoma
Anka Bric1, Cornelius Miething, Carl Uli Bialucha
1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Abstract:
Short hairpin RNAs (shRNAs) capable of stably suppressing gene function by RNA interference (RNAi) can mimic tumor-suppressor-gene loss in mice. By selecting for shRNAs capable of accelerating lymphomagenesis in a well-characterized mouse lymphoma model, we identified over ten candidate tumor suppressors, including Sfrp1, Numb, Mek1, and Angiopoietin 2. Several components of the DNA damage response machinery were also identified, including Rad17, which acts as a haploinsufficient tumor suppressor that responds to oncogenic stress and whose loss is associated with poor prognosis in human patients. Our results emphasize the utility of in vivo RNAi screens, identify and validate a diverse set of tumor suppressors, and have therapeutic implications.
Insights
Short hairpin RNAs (shRNAs) enable RNA interference (RNAi) to identify novel tumor suppressors in mice. This study highlights Rad17 as a key player in tumor suppression and oncogenic stress response, with implications for human cancer prognosis.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Short hairpin RNAs (shRNAs) facilitate stable gene suppression via RNA interference (RNAi).
- Loss of tumor suppressor genes is a critical mechanism in cancer development.
- Mouse models are valuable for studying cancer genetics and identifying therapeutic targets.
Purpose of the Study:
- To utilize in vivo RNAi screening to identify novel tumor suppressor genes.
- To validate candidate tumor suppressors in a mouse lymphoma model.
- To explore the role of DNA damage response machinery in tumor suppression.
Main Methods:
- Employing shRNAs to induce RNA interference (RNAi) in a mouse lymphoma model.
- Selecting for shRNAs that accelerate lymphomagenesis to identify tumor suppressor candidates.
- Validating candidate genes, including Sfrp1, Numb, Mek1, Angiopoietin 2, and Rad17.
Main Results:
- Identified over ten candidate tumor suppressors, including Sfrp1, Numb, Mek1, and Angiopoietin 2.
- Discovered components of the DNA damage response machinery, notably Rad17.
- Demonstrated Rad17 acts as a haploinsufficient tumor suppressor responding to oncogenic stress.
Conclusions:
- In vivo RNAi screens are effective for identifying tumor suppressors.
- Validated a diverse set of novel tumor suppressors with therapeutic potential.
- Rad17 loss correlates with poor prognosis in human cancer patients, underscoring its role in oncogenic stress response.
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