Roth, Frederick P.

The Genetic Landscape of a Cell

Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., Koh, J. L. Y., Toufighi, K., Mostafavi, S., et al. (2010) · Science

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 2,162

High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities.

Hart, T., Chandrashekhar, M., Aregger, M., Steinhart, Z., Brown, K. R., MacLeod, G., Mis, M., Zimmermann, M., Fradet-Turcotte, A., Sun, S., et al. (2015) · Cell

CRISPR and Genetic EngineeringChromatin Remodeling and Cancer

Cited by 1,571

High-Quality Binary Protein Interaction Map of the Yeast Interactome Network

Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., Hirozane-Kishikawa, T., Gebreab, F., Li, N., Simonis, N., et al. (2008) · Science

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 1,392

A reference map of the human binary protein interactome

Luck, K., Kim, D.-K., Lambourne, L., Spirohn, K., Begg, B. E., Bian, W., Brignall, R., Cafarelli, T., Campos-Laborie, F. J., Charloteaux, B., et al. (2020) · Nature

Bioinformatics and Genomic NetworksAdvanced Proteomics Techniques and Applications

Cited by 1,197

A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains

Irimia, M., Weatheritt, R. J., Ellis, J. D., Parikshak, N. N., Gonatopoulos-Pournatzis, T., Babor, M., Quesnel-Vallières, M., Tapial, J., Raj, B., O’Hanlon, D., et al. (2014) · Cell

RNA Research and SplicingRNA regulation and disease

Cited by 693

Widespread macromolecular interaction perturbations in human genetic disorders

Sahni, N., Yi, S., Taipale, M., Fuxman Bass, J. I., Coulombe-Huntington, J., Yang, F., Peng, J., Weile, J., Karras, G. I., Wang, Y., et al. (2015) · Cell

Genomics and Rare DiseasesBioinformatics and Genomic Networks

Cited by 594

Widespread Expansion of Protein Interaction Capabilities by Alternative Splicing

Yang, X., Coulombe-Huntington, J., Kang, S., Sheynkman, G. M., Hao, T., Richardson, A., Sun, S., Yang, F., Shen, Y. A., Murray, R. R., et al. (2016) · Cell

RNA Research and SplicingBioinformatics and Genomic Networks

Cited by 583

Metabolic signatures of exercise in human plasma

Lewis, G. D., Farrell, L., Wood, M. J., Martinovic, M., Arany, Z., Rowe, G. C., Souza, A., Cheng, S., McCabe, E. L., Yang, E., et al. (2010) · Science Translational Medicine

Metabolomics and Mass Spectrometry StudiesCardiovascular and exercise physiology

Cited by 432

Chemical substructures that enrich for biological activity

Klekota, J., & Roth, F. P. (2008) · Bioinformatics

Computational Drug Discovery MethodsSynthesis and Characterization of Heterocyclic Compounds

Cited by 392

Variant interpretation: functional assays to the rescue

Starita, L. M., Ahituv, N., Dunham, M. J., Kitzman, J. O., Roth, F. P., Seelig, G., Shendure, J., & Fowler, D. M. (2017) · The American Journal of Human Genetics

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 381

Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins

Rozenblatt-Rosen, O., Deo, R. C., Padi, M., Adelmant, G., Calderwood, M. A., Rolland, T., Grace, M., Dricot, A., Askenazi, M., Tavares, M., et al. (2012) · Nature

Bioinformatics and Genomic NetworksViral-associated cancers and disorders

Cited by 378

Systems analysis of RhoGEF and RhoGAP regulatory proteins reveals spatially organized RAC1 signalling from integrin adhesions

Müller, P. M., Rademacher, J., Bagshaw, R. D., Wortmann, C., Barth, C., van Unen, J., Alp, K. M., Giudice, G., Eccles, R. L., Heinrich, L. E., et al. (2020) · Nature Cell Biology

Protein Kinase Regulation and GTPase SignalingCellular Mechanics and Interactions

Cited by 253

A critical assessment of Mus musculusgene function prediction using integrated genomic evidence

Peña-Castillo, L., Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. K., et al. (2008) · Genome Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 248

Combining biological networks to predict genetic interactions

Wong, S. L., Zhang, L. V., Tong, A. H. Y., Li, Z., Goldberg, D. S., King, O. D., Lesage, G., Vidal, M., Andrews, B., Bussey, H., et al. (2004) · Proceedings of the National Academy of Sciences

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 245

A framework for exhaustively mapping functional missense variants

Weile, J., Sun, S., Cote, A. G., Knapp, J., Verby, M., Mellor, J. C., Wu, Y., Pons, C., Wong, C., van Lieshout, N., et al. (2017) · Molecular Systems Biology

Genomics and Rare DiseasesCRISPR and Genetic Engineering

Cited by 187

Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism

Corominas, R., Yang, X., Lin, G. N., Kang, S., Shen, Y., Ghamsari, L., Broly, M., Rodriguez, M., Tam, S., Wanamaker, S. A., et al. (2014) · Nature Communications

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 140

Introns in UTRs: why we should stop ignoring them

Bicknell, A. A., Cenik, C., Chua, H. N., Roth, F. P., & Moore, M. J. (2012) · BioEssays

RNA Research and SplicingRNA and protein synthesis mechanisms

Cited by 133

Dual action antifungal small molecule modulates multidrug efflux and TOR signaling

Shekhar-Guturja, T., Gunaherath, G. M. K. B., Wijeratne, E. M. K., Lambert, J.-P., Averette, A. F., Lee, S. C., Kim, T., Bahn, Y.-S., Tripodi, F., Ammar, R., et al. (2016) · Nature Chemical Biology

Antifungal resistance and susceptibilityFungal and yeast genetics research

Cited by 101

Genome Analysis Reveals Interplay between 5′UTR Introns and Nuclear mRNA Export for Secretory and Mitochondrial Genes

Cenik, C., Chua, H. N., Zhang, H., Tarnawsky, S. P., Akef, A., Derti, A., Tasan, M., Moore, M. J., Palazzo, A. F., & Roth, F. P. (2011) · PLoS Genetics

RNA Research and SplicingNuclear Structure and Function

Cited by 87

Knocking out multigene redundancies via cycles of sexual assortment and fluorescence selection

Suzuki, Y., Onge, R. P. S., Mani, R., King, O. D., Heilbut, A., Labunskyy, V. M., Chen, W., Pham, L., Zhang, L. V., Tong, A. H. Y., et al. (2011) · Nature Methods

Fungal and yeast genetics researchDrug Transport and Resistance Mechanisms

Cited by 78

A comprehensive map of human glucokinase variant activity

Gersing, S., Cagiada, M., Gebbia, M., Gjesing, A. P., Coté, A. G., Seesankar, G., Li, R., Tabet, D., Weile, J., Stein, A., et al. (2023) · Genome Biology

Pancreatic function and diabetesGenomics and Rare Diseases

Cited by 55

Characterizing glucokinase variant mechanisms using a multiplexed abundance assay

Gersing, S., Schulze, T. K., Cagiada, M., Stein, A., Roth, F. P., Lindorff-Larsen, K., & Hartmann-Petersen, R. (2024) · Genome Biology

Pancreatic function and diabetesGenomics and Rare Diseases

Cited by 23

Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023

Allen, S., Garrett, A., Muffley, L., Fayer, S., Foreman, J., Adams, D. J., Hurles, M., Rubin, A. F., Roth, F. P., Starita, L. M., et al. (2024) · European Journal of Human Genetics

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 17

Image-based, pooled phenotyping reveals multidimensional, disease-specific variant effects

Pendyala, S., Partington, K., Bradley, N., McEwen, A. E., Straub, G., Kim, H.-J., Fayer, S., Holmes, D. L., Sitko, K. A., Garge, R. K., et al. (2026) · Cell

Genomics and Rare DiseasesNuclear Structure and Function

Cited by 10