NAR Genomics and BioinformaticsBioinformaticsPeer-reviewed journal article
DeleteomeTools: Utilizing a compendium of yeast deletion strain transcriptomes to identify co-functional genes
Maxwell Lewis NealiD, Sanjeev Kumar ChoudhryiD, John D. AitchisoniD
Abstract
We introduce DeleteomeTools, an R package that leverages the Deleteome compendium of yeast single-gene deletion transcriptomes to predict gene function. Primarily, the package provides functions for identifying similarities between the transcriptomic signatures of deletion strains, thereby associating genes of interest with others that may be functionally related. We describe how our software predicted a novel relationship between the yeast nucleoporin Nup170 and the Ctf18-RFC complex, which was confirmed experimentally, revealing a previously unknown link between nuclear pore complexes and the DNA replication machinery. To assess the packages broader predictive capabilities, we performed a systematic evaluation that tested how well it predicted Gene Ontology (GO) annotations already applied to the subset of genes deleted in Deleteome strains. We show that our package predicted a majority of reported GO:biological process annotations with semantic similarities ranging from moderate to identical. We also discuss how our strategy for quantifying similarity between deletion strains, which relies on differential expression signatures, differs from other approaches that use global expression profiles and why it has the potential to identify functional relationships that might otherwise go undetected.
- organism: yeast
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 2th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The Proteomic Landscape of Genome-Wide Genetic Perturbations
Christoph B. Messner, Vadim Demichev, … Markus Ralser·CellPeer-reviewed·Apr 1, 2023
- Decoupling gene knockout effects from gene functions by evolutionary analyses
Li Liu, Mengdi Liu, … Xionglei He·National Science ReviewPeer-reviewed·Apr 22, 2020
- Hayai-Annotation v3.0: A functional gene prediction tool that integrates orthologs and gene ontology for network analysis
Andrea Ghelfi, Sachiko Isobe·bioRxiv·Jun 5, 2024
- Accuracy of functional gene community detection in Saccharomyces cerevisiae by maximizing Generalized Modularity Density
Pramesh Singh, Jiahao Guo, … Kevin E. Bassler·bioRxiv·Dec 28, 2022
- Transposon insertional mutagenesis in Saccharomyces uvarum reveals trans-acting effects influencing species dependent essential genes
M. R. Sanchez, C. Payen, … M. J. Dunham·Genome ResearchPeer-reviewed·Mar 1, 2019
- EnTAP: Bringing Faster and Smarter Functional Annotation to Non-Model Eukaryotic Transcriptomes
Alexander J. Hart, Samuel Ginzburg, … Jill Wegrzyn·Molecular Ecology ResourcesPeer-reviewed·Oct 19, 2019