Exploring genetic interactions and networks with yeast

A haplotype map of the human genome

The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858

Functional organization of the yeast proteome by systematic analysis of protein complexes

Gavin, A., Böesche, M., Krause, R., Grandi, P., Marzioch, M., Bauer, A., Schultz, J., Rick, J. M., Michon, A., Cruciat, C., et al. (2002) · Nature · doi:10.1038/415141a · Cited by 4,729

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

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

Faculty Opinions recommendation of Adaptive F-Actin Polymerization and Localized ATP Production Drive Basement Membrane Invasion in the Absence of MMPs.

Stramer, B. M. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734933506.793555867

Faculty Opinions recommendation of Adaptive F-Actin Polymerization and Localized ATP Production Drive Basement Membrane Invasion in the Absence of MMPs.

Korswagen, R. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734933506.793556539

Investigation of the Biological Effect of eIF4A Reduction and Inhibition

Little, R. (2020) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.17145923.v1

Directing a messenger RNA into yeast mitochondria

Sunba, N. (2011) · doi:10.22215/etd/2011-09369

The Chemical Genetic Interactions of Statin Drugs with Their Target Genes in Saccharomyces cerevisiae

Busby, B. P. (2009) · doi:10.26686/wgtn.16968850.v1

References

Srihari, S., Yong, C. H., & Wong, L. (2017) · doi:10.1145/3064650.3064661

Investigating the Quantitative Trait Loci Contributing to Individual Variation in Drug Response

Roberts, C. A. (2015) · doi:10.26686/wgtn.17014628

Exploring the Molecular Mechanisms of Action of Samoan Medicinal Plants via Chemical Genetic Analyses

Molimau-Samasoni, S. (2016) · doi:10.26686/wgtn.17143664

Preface

Srihari, S., Yong, C. H., & Wong, L. (2017) · doi:10.1145/3064650.3064651

Animal Systems Biology: Towards a Systems View of Development in C . Elegans

Fernandez, A. G., Piano, F., & Gunsalus, K. C. (2017) · Annual Plant Reviews online · doi:10.1002/9781119312994.apr0375

Chemical-genetics profile and genetic interaction analyses for identification of novel genes involved in protein synthesis in yeast

Alamgir, M. S. (2010) · doi:10.22215/etd/2010-09515

Identification of Novel Translation Related Genes in Saccharomyces Cerevisiae

Tan, L. (2014) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2014-10376

Faculty Opinions recommendation of Protein moonlighting revealed by noncatalytic phenotypes of yeast enzymes.

Papp, B. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.732104656.793549274

Bayesian Analysis for 3D combinatorial CRISPR screensPreprint

Madenach, L., & Lohoff, C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.02.494493

Synthetic Lethality and Lung Cancer

Huang, J., Qiao, T., & Wang, X. (2022) · Translational bioinformatics · doi:10.1007/978-981-16-7893-6_5

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Marayati, B. F., Pease, J. B., & Zhang, K. (2019) · Journal of Visualized Experiments · doi:10.3791/59133-v

A Novel High-Throughput Screening Tool in Saccharomyces Cerevisiae

Coorey, N. (2012) · doi:10.26686/wgtn.17004727.v1

Characterising Changes in Lipid Homeostasis as an Anti-Cancer Mechanism of Action of Methylthio-DADMe-Immucillin-A

Salita, T. (2018) · doi:10.26686/wgtn.22757438

Chemical Genetic Analyses of Kānuka ('Kunzea ericoides') Extracts

Blockley-Powell, S. (2019) · doi:10.26686/wgtn.22807040

Long non-coding RNA and ribosomal protein genes in a yeast ageing model: an investigation for undergraduate research-based learning

Hwang, G.-J., & Clyne, R. K. (2023) · Essays in Biochemistry · doi:10.1042/ebc20230010

Chemical Genetic Analysis of Echinochrome A Isolated from Evechinus chloroticus (Sea Urchin, Kina) in New Zealand

Hammond, J. (2023) · doi:10.26686/wgtn.24276562

Investigation of Novel Gene Functions in Yeast Using Functional Genomics

Jagadeesan, S. K. (2023) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2023-15665

Utilising Genetic Interaction Networks to Elucidate the Anticancer and Diabetogenic Activities

Hernandez, C. D. R. (2024) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.25365985

Decoding Translational Control and Gene Expression

Takalloo, S. (2024) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2024-16062

Indigenous community-guided chemical genomic insight into synergy of rapamycin with nerolidol derived from a leaf extract of kānuka (Kunzea robusta) in Tairāwhiti, Aotearoa New Zealand

Blockley-Powell, S., Andreassend, S. K., Paenga, B., Skinner, D., Harcourt, N., Caddie, M., Moreno, T., Tallon, S. J., Keyzers, R. A., & Munkacsi, A. B. (2025) · Phytomedicine Plus · doi:10.1016/j.phyplu.2025.100771

Gene-Gene Interactions: An Essential Component to Modeling Complexity for Precision Medicine

Hall, M. A., Cole, B. S., & Moore, J. H. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00312-2

Quantitative Genetics of Natural S. cerevisiae Strains Upon Sexual Mating Reveals Heritable Determinants of Fitness and Differential Mating AffinitiesPreprint

Strauss, S. K., Golomb, R., Sheykhkarimli, D., Liti, G., Dahan, O., & Pilpel, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5262325

Environmental modulation of gene expression dynamics: temperature, pH, and coupling-dependent stability in transcriptional networks

Nemati, F., & Behnia, S. (2025) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-025-06691-5

Genetic and functional characterization of candidate genes for complex psychiatric diseases using next-generation sequencing and cellular uptake assays

Quast, C. (2014) · Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München) · doi:10.5282/edoc.16546

Functional Evolutionary Genomics: Yeast as a Model System.

Qian, W. (2012) · Deep Blue (University of Michigan)

Additional file 3 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684584

Additional file 16 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684575

Additional file 2 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684581

Additional file 4 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684587

Additional file 11 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684560

Additional file 1 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684578

Additional file 13 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684566

Additional file 8 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684599

Additional file 1 of ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens

Klemm, C., Howell, R. S. M., & Thorpe, P. H. (2022) · Figshare · doi:10.6084/m9.figshare.19128686

Additional file 1 of Poor statistical power in population-based association study of gene interaction

Ma, J., Li, J., Chen, Y., Yang, Z., & He, Y. (2024) · Figshare · doi:10.6084/m9.figshare.25708904

Additional file 15 of Genetic interaction network has a very limited impact on the evolutionary trajectories in continuous culture-grown populations of yeast

Klim, J., Zielenkiewicz, U., Skoneczny, M., Skoneczna, A., Kurlandzka, A., & Kaczanowski, S. (2021) · Figshare · doi:10.6084/m9.figshare.14684572

UGA4 and YBR062C Regulate Oxidative Stress Tolerance Under Heavy Metal Toxicity

Al‐gafari, M., Moteshareie, H., Kazmirchuk, T. D. D., Wang, J., Takallou, S., Khosravifar, P., Hooshyar, M., Samanfar, B., & Golshani, A. (2026) · The FASEB Journal · doi:10.1096/fj.202503701r

Développement de stratégies avancées pour l'identification de relations épistatiques dans les études d'associations génotype-phénotype

Niel, C. (2017) · doi:10.70675/3ac1ec8dzc1d3z4c86z8f4az35efaf9791ea

Species-wide exploration of the complexity, expressivity, and missing heritability of traits

Tsouris, A. (2023) · theses.fr (ABES) · doi:10.70675/6c6263a5z766ez4788z8c6bz08583b39b0c6

Functional characterisation of an essential neo-chromosome III in Sc2.0 strain reveals opportunities and challenges for genome minimisation in Sc3.0Preprint

Swidah, R., & Monti, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.20.719597

Advances in combinatorial CRISPRi screening and applications: Decoding higher-order interactions for next-generation microbial cell factories in synthetic biology

朱晓菲, Zhang, W., Sun, T., & Chen, L. (2026) · Microbiological Research · doi:10.1016/j.micres.2026.128663

Traffic jam at the powerhouse: restoring protein homeostasis at the mitochondria via MFB1 and HSP31 collaboration with clinical implications. An Educational Primer for use with “Cellular proteostasis during mitochondrial protein import clogging requires the mitochondrial F-box protein 1 and DJ-1 homolog HSP31 in Saccharomyces cerevisiae ”

Ghosh, M., & Melloy, P. (2026) · Genetics · doi:10.1093/genetics/iyag203

Using Biological Networks to Guide Biomedical Prediction

Zhao, X., Kong, J., Pu, K., Churas, C., Parker, J. A., & Ideker, T. (2026) · Methods in molecular biology · doi:10.1007/978-1-0716-5408-8_3

Masking DNA Single-Strand Break (SSB): a New Approach to Cancer Treatment

Zhang, S. (2014) · doi:10.14418/wes01.2.77

Systematic Mapping of Genetic Interaction Networks

Dixon, S. J., Costanzo, M., Baryshnikova, A., Andrews, B., & Boone, C. M. (2008) · Annual Review of Genetics · doi:10.1146/annurev.genet.39.073003.114751 · Cited by 298

Genetic Interaction Networks: Toward an Understanding of Heritability

Baryshnikova, A., Costanzo, M., Myers, C. L., Andrews, B., & Boone, C. M. (2013) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-082509-141730 · Cited by 112

Genetic Interaction Network

(2004) · Science s STKE · doi:10.1126/stke.2192004tw55

Interaction networks: Lessons from large‐scale studies in yeast

Cagney, G. (2009) · PROTEOMICS · doi:10.1002/pmic.200900177 · Cited by 10

A global genetic interaction network maps a wiring diagram of cellular function

Costanzo, M., VanderSluis, B., Koch, E. N., Baryshnikova, A., Pons, C., Tan, G., Wang, W., Usaj, M., Hanchard, J., Lee, S. D., et al. (2016) · Science · doi:10.1126/science.aaf1420 · Cited by 1,240