ArticleGenetics2015
Complementation of Yeast Genes with Human Genes as an Experimental Platform for Functional Testing of Human Genetic Variants.
Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
50 citing papers in PubMed, 74 citations in OpenAlex.
- Stepwise Humanization of the Yeast TRAPP Core Enables Functional Analysis of TRAPP Variants.Cells · 2026Article
- The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes.bioRxiv : the preprint server for biology · 2026Article
- Humanization of theGenes · 2026Article
- Life beyond 6000 genes: from sequence to synthesis in a post-genomics era.FEMS yeast research · 2026Review
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- From beer to breadboards: yeast as a force for biological innovation.Genome biology · 2024Review
- 1,10-phenanthroline inhibits sumoylation and reveals that yeast SUMO modifications are highly transient.EMBO reports · 2024Article
- Humanization reveals pervasive incompatibility of yeast and human kinetochore components.G3 (Bethesda, Md.) · 2023Article
- The power of weak, transient interactions across biology: A paradigm of emergent behavior.Physica D. Nonlinear phenomena · 2023Article
- Species-specific protein-protein interactions govern the humanization of the 20S proteasome in yeast.Genetics · 2023Article
- The functional impact of 1,570 individual amino acid substitutions in human OTC.American journal of human genetics · 2023Article
- Incompatibility and Interchangeability in Molecular Evolution.Genome biology and evolution · 2023Review
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- Article
- Humanized yeast to model human biology, disease and evolution.Disease models & mechanisms · 2022Review
- Massively parallel phenotyping of coding variants in cancer with Perturb-seq.Nature biotechnology · 2022Article
- Sequence, structural and functional conservation among the human and fission yeast ELL and EAF transcription elongation factors.Molecular biology reports · 2022Article
- Facilitating Machine Learning-Guided Protein Engineering with Smart Library Design and Massively Parallel Assays.Advanced genetics (Hoboken, N.J.) · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
While the pace of discovery of human genetic variants in tumors, patients, and diverse populations has rapidly accelerated, deciphering their functional consequence has become rate-limiting. Using cross-species complementation, model organisms like the budding yeast, Saccharomyces cerevisiae, can be utilized to fill this gap and serve as a platform for testing human genetic variants. To this end, we performed two parallel screens, a one-to-one complementation screen for essential yeast genes implicated in chromosome instability and a pool-to-pool screen that queried all possible essential yeast genes for rescue of lethality by all possible human homologs. Our work identified 65 human cDNAs that can replace the null allele of essential yeast genes, including the nonorthologous pair yRFT1/hSEC61A1. We chose four human cDNAs (hLIG1, hSSRP1, hPPP1CA, and hPPP1CC) for which their yeast gene counterparts function in chromosome stability and assayed in yeast 35 tumor-specific missense mutations for growth defects and sensitivity to DNA-damaging agents. This resulted in a set of human-yeast gene complementation pairs that allow human genetic variants to be readily characterized in yeast, and a prioritized list of somatic mutations that could contribute to chromosome instability in human tumors. These data establish the utility of this cross-species experimental approach.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.