Cited by 661Bioinformatics and Genomic NetworksFungal and yeast genetics researchGene Regulatory Network Analysis

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Exploring genetic interactions and networks with yeast

Boone, Charles, Bussey, Howard, Andrews, Brenda J.·2007·Nature Reviews Genetics

DOI 10.1038/nrg2085

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Abstract

The development and application of genetic tools and resources has enabled a partial genetic-interaction network for the yeast Saccharomyces cerevisiae to be compiled. Analysis of the network, which is ongoing, has already provided a clear picture of the nature and scale of the genetic interactions that robustly sustain biological systems, and how cellular buffering is achieved at the molecular level. Recent studies in yeast have begun to define general principles of genetic networks, and also pave the way for similar studies in metazoan model systems. A comparative understanding of genetic-interaction networks promises insights into some long-standing genetic problems, such as the nature of quantitative traits and the basis of complex inherited disease.

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A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
Functional profiling of the Saccharomyces cerevisiae genome
Giaever, G., Chu, A. M., Ni, L., Connelly, C., Riles, L., Véronneau, S., Dow, S., Lucau-Danila, A., Anderson, K., André, B., et al. (2002) · Nature · doi:10.1038/nature00935 · Cited by 4,316
Self-citation
Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis
Winzeler, E. A., Shoemaker, D. D., Astromoff, A., Liang, H., Anderson, K., Andre, B., Bangham, R., Benito, R., Boeke, J. D., Bussey, H., et al. (1999) · Science · doi:10.1126/science.285.5429.901 · Cited by 3,953
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry
Ho, Y., Gruhler, A., Heilbut, A. M., Bader, G. D., Moore, L., Adams, S., Millar, A., Taylor, P. P., Bennett, K. L., Boutilier, K., et al. (2002) · Nature · doi:10.1038/415180a · Cited by 3,573
A comprehensive two-hybrid analysis to explore the yeast protein interactome
Ito, T., Chiba, T., Ozawa, R., Yoshida, M., Hattori, M., & Sakaki, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061034498 · Cited by 3,566
Global landscape of protein complexes in the yeast Saccharomyces cerevisiae
Krogan, N. J., Cagney, G., Yu, H., Zhong, G., Guo, X., Ignatchenko, A., Li, J., Pu, S., Datta, N., Tikuisis, A., et al. (2006) · Nature · doi:10.1038/nature04670 · Cited by 2,964
Proteome survey reveals modularity of the yeast cell machinery
Gavin, A., Aloy, P., Grandi, P., Krause, R., Böesche, M., Marzioch, M., Rau, C., Jensen, L. J., Bastuck, S., Dümpelfeld, B., et al. (2006) · Nature · doi:10.1038/nature04532 · Cited by 2,570

Show all 90 references

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Sprague, G. F. Jr & Thorner, J. W. in The Molecular and Cellular Biology of the Yeast Saccharomyces: Gene Expression Vol. 2 (eds Jones, E. W., Pringle, J. R. & Broach, J. R.) 657–744 (Cold Spring Harbor Laboratory Press, Cold Spring Harbor, 1992).

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Self-citation

Authors: Boone, C., Bussey, H., & Andrews, B. J.
Affiliations: University of Toronto (CA)
McGill University (CA)
Corresponding author: Boone, Charles
Andrews, Brenda J.
ORCID: Boone, Charles
Andrews, Brenda J.
Venue: Nature Reviews Genetics
Publisher: Springer Science and Business Media LLC
Published: 2007-06
Volume: 8
Issue: 6
Pages: 437-449
ISSN: 1471-0056 (ISSN-L)
1471-0064
DOI: 10.1038/nrg2085
OpenAlex: W2150749732
Cited by: 661
References: 90
Citations by year: 2026: 11 · 2025: 17 · 2024: 20 · 2023: 17 · 2022: 25 · 2021: 25 · 2020: 21 · 2019: 37 · 2018: 28 · 2017: 57 · 2016: 27 · 2015: 29 · 2014: 43 · 2013: 41 · 2012: 44
FWCI: 3.87
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature Reviews Genetics (publishedVersion)
PubMed (publishedVersion)
Funders: Howard Hughes Medical Institute
Genome Canada
Ontario Genomics Institute
Canada Research Chairs
Canadian Institutes of Health Research
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords: genetic interactions, genetic interaction networks, Saccharomyces cerevisiae, genetic screen, gene networks, quantitative traits
MeSH terms: Algorithms, Chromosome Mapping, Diploidy, Epistasis, Genetic, Genes, Lethal, Models, Genetic, Mutation, Phenotype, Saccharomyces cerevisiae, Genome, Fungal, Gene Deletion, Oligonucleotide Array Sequence Analysis, Genomics, Saccharomyces cerevisiae Proteins

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Exploring genetic interactions and networks with yeast

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