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Updated: Mar 25, 2026

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
Tumour-specific proline vulnerability uncovered by differential ribosome codon reading
Fabricio Loayza-Puch1, Koos Rooijers1, Levi C M Buil2
1Division of Biological Stress Response, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
A new method called diricore uses ribosome profiling to detect restrictive amino acids in tumors. This technique identified proline deficiency in kidney and breast cancers, revealing potential new therapeutic targets for cancer treatment.
Area of Science:
- Oncology
- Metabolic Engineering
- Molecular Biology
Background:
- Cancer cells rely on specific amino acid metabolism for survival and proliferation.
- Current methods lack tailored systems for detecting tumor-specific amino acid restrictions.
- L-asparaginase therapy highlights the potential of targeting amino acid deprivation in cancer.
Purpose of the Study:
- To develop a novel method for sensing restrictive amino acids within tumors.
- To investigate amino acid dependencies in kidney and breast cancers.
- To identify potential vulnerabilities for targeted cancer therapies.
Main Methods:
- Utilized ribosome profiling to develop diricore, a differential ribosome measurement procedure.
- Validated diricore using metabolic inhibitors and nutrient deprivation assays.
- Applied diricore to kidney and breast cancer models, including in vivo studies.
Main Results:
- Diricore successfully detected asparagine restriction and compensatory asparagine synthetase (ASNS) upregulation.
- Identified proline restriction in kidney and breast cancers, linked to PYCR1 induction.
- Demonstrated that PYCR1 suppression or knockout impedes tumor growth under proline limitation.
Conclusions:
- Diricore is a functional tool for identifying tumor-specific amino acid deficiencies.
- Proline metabolism and PYCR1 represent a potential therapeutic vulnerability in certain cancers.
- This approach can reveal novel targets for cancer treatment by exploiting metabolic pathways.
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