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DeleteomeTools: Utilizing a compendium of yeast deletion strain transcriptomes to identify co-functional genes
Maxwell L Neal1, Sanjeev K Choudhry1, John D Aitchison1,2
1Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, United States.
Biorxiv : the Preprint Server for Biology
|February 19, 2024
Summary
DeleteomeTools, an R package, predicts gene function by analyzing yeast gene deletion transcriptomes. It identified a novel link between nuclear pore complexes and DNA replication machinery, validated experimentally.
Area of Science:
- Yeast genetics
- Systems biology
- Computational biology
Background:
- Understanding gene function is crucial for biological research.
- The Deleteome compendium provides genome-wide yeast single-gene deletion transcriptomes.
- Predictive tools are needed to leverage this data for functional genomics.
Purpose of the Study:
- To introduce DeleteomeTools, an R package for predicting gene function using the Deleteome compendium.
- To demonstrate the package's ability to identify functional relationships between genes based on transcriptomic signatures.
- To experimentally validate a novel gene function prediction made by the software.
Main Methods:
- Utilizing the Deleteome compendium of yeast single-gene deletion transcriptomes.
- Developing functions within the R package to identify similarities in transcriptomic signatures of deletion strains.
- Employing differential expression signatures to quantify strain similarity.
- Experimental validation of predicted gene functional relationships.
Main Results:
- DeleteomeTools successfully predicted a novel functional relationship between the yeast nucleoporin Nup170 and the Ctf18-RFC complex.
- This prediction was experimentally confirmed, revealing a new link between nuclear pore complexes and DNA replication.
- The package accurately predicted a majority of existing Gene Ontology (GO) biological process annotations.
Conclusions:
- DeleteomeTools is an effective R package for predicting gene function in yeast.
- The method of using differential expression signatures offers a unique approach to discovering functional relationships.
- The software has the potential to uncover previously undetected functional links in biological systems.
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