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Updated: Dec 31, 2025

Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
Published on: October 7, 2021
A Drug Repurposing and Protein-Protein Interaction Network Study of Ribosomopathies Using Yeast as a Model System
Ege Ertekin1, Elif Gencturk1, Muge Kasim1
1Department of Chemical Engineering, Bogazici University, Istanbul, Turkey.
Abstract:
Ribosomopathies result in various cancers, neurodegenerative and viral diseases, and other pathologies such as Diamond-Blackfan anemia and Shwachman-Diamond syndrome. Their pathophysiology at a proteome and functional level remains to be determined. Protein networks and highly connected hub proteins for ribosome biogenesis in Saccharomyces cerevisiae offer a potential as a model system to inform future therapeutic innovation in ribosomopathies. In this context, we report a ribosome biogenesis protein-protein interaction network in S. cerevisiae, created with 1772 proteins and 22,185 physical interactions connecting them. Moreover, by network decomposition analysis, we determined the linear pathways between the transcription factors and target proteins with a view to drug repurposing. While considering only the paths containing the three C/D box proteins (Nop56, Nop58, and Nop1), the most frequently encountered proteins were Aft1, Htz1, Ssa1, Ssb1, Ssb2, Gcn5, Cka1, Tef1, Nop1, Cdc28, Act1, Krr1, Rpl8B, and Tor1, which were then identified as potential drug targets. For drug repurposing, these candidate proteins were further searched in the DrugBank to find other diseases associated with them, as well as the drugs used to treat these diseases. To support the computational results, an experimental study was conducted using in-house manufactured microfluidic bioreactor platform, while the effect of the drug temsirolimus, Tor1 inhibitor, on yeast cells was investigated by following Nop56 protein expression. In conclusion, these results inform the ways in which ribosomopathies and associated common complex human diseases materialize and how drug repurposing might accelerate therapeutic innovation through bioinformatic studies of yeast.
Insights
This study maps yeast ribosome biogenesis protein interactions to identify drug targets for ribosomopathies. Yeast models and network analysis reveal potential therapeutic strategies for these complex diseases.
Area of Science:
- Molecular Biology
- Systems Biology
- Bioinformatics
Background:
- Ribosomopathies, including Diamond-Blackfan anemia and Shwachman-Diamond syndrome, are linked to cancers and neurodegenerative diseases.
- The precise proteomic and functional pathophysiology of ribosomopathies remains unclear.
- The yeast Saccharomyces cerevisiae serves as a model organism for studying ribosome biogenesis and potential therapeutic innovations.
Purpose of the Study:
- To construct a comprehensive protein-protein interaction network for ribosome biogenesis in S. cerevisiae.
- To identify potential drug targets by analyzing network pathways.
- To explore drug repurposing opportunities for ribosomopathies.
Main Methods:
- Creation of a ribosome biogenesis protein-protein interaction network involving 1772 proteins and 22,185 interactions.
- Network decomposition analysis to determine linear pathways between transcription factors and target proteins.
- Experimental validation using a microfluidic bioreactor to assess the effect of temsirolimus (a Tor1 inhibitor) on Nop56 protein expression.
Main Results:
- A detailed protein network for ribosome biogenesis was established.
- Key proteins such as Aft1, Htz1, Ssa1, Ssb1, Ssb2, Gcn5, Cka1, Tef1, Nop1, Cdc28, Act1, Krr1, Rpl8B, and Tor1 were identified as potential drug targets.
- DrugBank analysis linked these targets to various diseases and existing treatments, supporting drug repurposing.
Conclusions:
- The study provides insights into the mechanisms of ribosomopathies and related human diseases.
- Bioinformatic analysis of yeast ribosome biogenesis networks can accelerate therapeutic innovation through drug repurposing.
- Experimental validation confirmed the potential of targeting Tor1 in ribopathies.
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