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Project DRIVE: a compendium of cancer dependencies and synthetic lethal relationships uncovered by large-scale, deep RNAi screening ER McDonald, A De Weck, MR Schlabach, E Billy, KJ Mavrakis, ... Cell 170 (3), 577-592. e10, 2017 | 595 | 2017 |
Disordered methionine metabolism in MTAP/CDKN2A-deleted cancers leads to dependence on PRMT5 KJ Mavrakis, ER McDonald III, MR Schlabach, E Billy, GR Hoffman, ... Science 351 (6278), 1208-1213, 2016 | 421 | 2016 |
CRISPR screens provide a comprehensive assessment of cancer vulnerabilities but generate false-positive hits for highly amplified genomic regions DM Munoz, PJ Cassiani, L Li, E Billy, JM Korn, MD Jones, J Golji, ... Cancer discovery 6 (8), 900-913, 2016 | 376 | 2016 |
TGFβ-blockade uncovers stromal plasticity in tumors by revealing the existence of a subset of interferon-licensed fibroblasts AL Grauel, B Nguyen, D Ruddy, T Laszewski, S Schwartz, J Chang, ... Nature communications 11 (1), 6315, 2020 | 120 | 2020 |
Resistance mechanisms to TP53-MDM2 inhibition identified by in vivo piggyBac transposon mutagenesis screen in an Arf−/− mouse model EA Chapeau, A Gembarska, EY Durand, E Mandon, C Estadieu, ... Proceedings of the National Academy of Sciences 114 (12), 3151-3156, 2017 | 56 | 2017 |
ZNRF3 and RNF43 cooperate to safeguard metabolic liver zonation and hepatocyte proliferation T Sun, S Annunziato, S Bergling, C Sheng, V Orsini, P Forcella, M Pikiolek, ... Cell Stem Cell 28 (10), 1822-1837. e10, 2021 | 50 | 2021 |
TRPS1 is a lineage-specific transcriptional dependency in breast cancer RM Witwicki, MB Ekram, X Qiu, M Janiszewska, S Shu, M Kwon, A Trinh, ... Cell reports 25 (5), 1255-1267. e5, 2018 | 48 | 2018 |
Analysis of head and neck carcinoma progression reveals novel and relevant stage-specific changes associated with immortalisation and malignancy R Veeramachaneni, T Walker, T Revil, AD Weck, D Badescu, J O’Sullivan, ... Scientific Reports 9 (1), 11992, 2019 | 46 | 2019 |
Systematic dissection of transcriptional regulatory networks by genome-scale and single-cell CRISPR screens R Lopes, K Sprouffske, C Sheng, ECH Uijttewaal, AE Wesdorp, ... Science advances 7 (27), eabf5733, 2021 | 27 | 2021 |
Correction of copy number induced false positives in CRISPR screens A de Weck, J Golji, MD Jones, JM Korn, E Billy, ER McDonald III, ... PLoS Computational Biology 14 (7), e1006279, 2018 | 19 | 2018 |
Fully unsupervised deep mode of action learning for phenotyping high-content cellular images R Janssens, X Zhang, A Kauffmann, A de Weck, EY Durand Bioinformatics 37 (23), 4548-4555, 2021 | 17 | 2021 |
DOT1L inhibition is lethal for multiple myeloma due to perturbation of the endoplasmic reticulum stress pathway C Dafflon, S Gaulis, L Barys, K Kapur, V Cornacchione, L Schukur, ... Oncotarget 11 (11), 956, 2020 | 12 | 2020 |
Probabilistic machine learning ensures accurate ambient denoising in droplet-based single-cell omics C Sheng, R Lopes, G Li, S Schuierer, A Waldt, R Cuttat, S Dimitrieva, ... BioRxiv, 2022.01. 14.476312, 2022 | 10 | 2022 |
Fibroblasts cell lines misclassified as cancer cell lines A de Weck, H Bitter, A Kauffmann bioRxiv, 166199, 2017 | 5 | 2017 |
Systematic identification of novel cancer genes through analysis of deep shRNA perturbation screens H Montazeri, M Coto-Llerena, G Bianco, E Zangene, S Taha-Mehlitz, ... Nucleic acids research 49 (15), 8488-8504, 2021 | 4 | 2021 |
High-content cellular screen image analysis benchmark study MA Bray, A de Weck, E Durand, J Fang, D Gabriel, R Janssens, ... bioRxiv, 2022.05. 15.491989, 2022 | 2 | 2022 |
Compositions and methods to treat cancer E Billy, A De Weck, J Golji, G Hoffman, F Hofmann, A Kauffmann, ... US Patent App. 18/048,015, 2024 | | 2024 |
Compositions and methods to treat cancer E Billy, A De Weck, J Golji, G Hoffman, F Hofmann, A Kauffmann, ... US Patent 11,530,413, 2022 | | 2022 |
TRAWLING: a Transcriptome Reference Aware of spLIciNG events ND Nanni, A Reyes, D Ho, R Ihry, A Kauffmann, EY Durand, A de Weck biorxiv, 2021.12. 03.471115, 2021 | | 2021 |