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937 results on '"Moffat, Jason"'

1. Genome-wide CRISPR screens identify novel regulators of wild-type and mutant p53 stability

Author

Lü, YiQing, Cho, Tiffany, Mukherjee, Saptaparna, Suarez, Carmen Florencia, Gonzalez-Foutel, Nicolas S, Malik, Ahmad, Martinez, Sebastien, Dervovic, Dzana, Oh, Robin Hyunseo, Langille, Ellen, Al-Zahrani, Khalid N, Hoeg, Lisa, Lin, Zhen Yuan, Tsai, Ricky, Mbamalu, Geraldine, Rotter, Varda, Ashton-Prolla, Patricia, Moffat, Jason, Chemes, Lucia Beatriz, Gingras, Anne-Claude, Oren, Moshe, Durocher, Daniel, and Schramek, Daniel

Published
2024
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5. The proteomic landscape of glioblastoma recurrence reveals novel and targetable immunoregulatory drivers

Author

Tatari, Nazanin, Khan, Shahbaz, Livingstone, Julie, Zhai, Kui, Mckenna, Dillon, Ignatchenko, Vladimir, Chokshi, Chirayu, Gwynne, William D, Singh, Manoj, Revill, Spencer, Mikolajewicz, Nicholas, Zhu, Chenghao, Chan, Jennifer, Hawkins, Cynthia, Lu, Jian-Qiang, Provias, John P, Ask, Kjetil, Morrissy, Sorana, Brown, Samuel, Weiss, Tobias, Weller, Michael, Han, Hong, Greenspoon, Jeffrey N, Moffat, Jason, Venugopal, Chitra, Boutros, Paul C, Singh, Sheila K, and Kislinger, Thomas

Subjects
Biomedical and Clinical Sciences, Neurosciences, Rare Diseases, Orphan Drug, Brain Cancer, Clinical Research, Brain Disorders, Biotechnology, Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Humans, Glioblastoma, Brain Neoplasms, Proteomics, Neoplasm Recurrence, Local, Transcriptome, Immunosuppression, OAS2, Clinical Sciences, Neurology & Neurosurgery
Abstract

Glioblastoma (GBM) is characterized by extensive cellular and genetic heterogeneity. Its initial presentation as primary disease (pGBM) has been subject to exhaustive molecular and cellular profiling. By contrast, our understanding of how GBM evolves to evade the selective pressure of therapy is starkly limited. The proteomic landscape of recurrent GBM (rGBM), which is refractory to most treatments used for pGBM, are poorly known. We, therefore, quantified the transcriptome and proteome of 134 patient-derived pGBM and rGBM samples, including 40 matched pGBM-rGBM pairs. GBM subtypes transition from pGBM to rGBM towards a preferentially mesenchymal state at recurrence, consistent with the increasingly invasive nature of rGBM. We identified immune regulatory/suppressive genes as important drivers of rGBM and in particular 2-5-oligoadenylate synthase 2 (OAS2) as an essential gene in recurrent disease. Our data identify a new class of therapeutic targets that emerge from the adaptive response of pGBM to therapy, emerging specifically in recurrent disease and may provide new therapeutic opportunities absent at pGBM diagnosis.

Published
2022

6. Context-dependent regulation of ferroptosis sensitivity.

Author

Magtanong, Leslie, Mueller, Grace, Williams, Kevin, Billmann, Maximilian, Chan, Katherine, Armenta, David, Pope, Lauren, Moffat, Jason, Boone, Charles, Myers, Chad, Dixon, Scott, Bensinger, Steven, and Olzmann, James

Subjects
ACSL4, PUFA, ROS, cancer, ether lipid, ferroptosis, iron, Cell Line, Tumor, Coenzyme A, Coenzyme A Ligases, Cystine, Ferroptosis, Lipid Peroxides, Phospholipid Hydroperoxide Glutathione Peroxidase
Abstract

Ferroptosis is an important mediator of pathophysiological cell death and an emerging target for cancer therapy. Whether ferroptosis sensitivity is governed by a single regulatory mechanism is unclear. Here, based on the integration of 24 published chemical genetic screens combined with targeted follow-up experimentation, we find that the genetic regulation of ferroptosis sensitivity is highly variable and context-dependent. For example, the lipid metabolic gene acyl-coenzyme A (CoA) synthetase long chain family member 4 (ACSL4) appears far more essential for ferroptosis triggered by direct inhibition of the lipid hydroperoxidase glutathione peroxidase 4 (GPX4) than by cystine deprivation. Despite this, distinct pro-ferroptotic stimuli converge upon a common lethal effector mechanism: accumulation of lipid peroxides at the plasma membrane. These results indicate that distinct genetic mechanisms regulate ferroptosis sensitivity, with implications for the initiation and analysis of this process in vivo.

Published
2022

7. The TSC22D, WNK, and NRBP gene families exhibit functional buffering and evolved with Metazoa for cell volume regulation

Author

Xiao, Yu-Xi, Lee, Seon Yong, Aguilera-Uribe, Magali, Samson, Reuben, Au, Aaron, Khanna, Yukti, Liu, Zetao, Cheng, Ran, Aulakh, Kamaldeep, Wei, Jiarun, Farias, Adrian Granda, Reilly, Taylor, Birkadze, Saba, Habsid, Andrea, Brown, Kevin R., Chan, Katherine, Mero, Patricia, Huang, Jie Qi, Billmann, Maximilian, Rahman, Mahfuzur, Myers, Chad, Andrews, Brenda J., Youn, Ji-Young, Yip, Christopher M., Rotin, Daniela, Derry, W. Brent, Forman-Kay, Julie D., Moses, Alan M., Pritišanac, Iva, Gingras, Anne-Claude, and Moffat, Jason

Published
2024
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9. N-terminal acetylation shields proteins from degradation and promotes age-dependent motility and longevity

Author

Varland, Sylvia, Silva, Rui Duarte, Kjosås, Ine, Faustino, Alexandra, Bogaert, Annelies, Billmann, Maximilian, Boukhatmi, Hadi, Kellen, Barbara, Costanzo, Michael, Drazic, Adrian, Osberg, Camilla, Chan, Katherine, Zhang, Xiang, Tong, Amy Hin Yan, Andreazza, Simonetta, Lee, Juliette J., Nedyalkova, Lyudmila, Ušaj, Matej, Whitworth, Alexander J., Andrews, Brenda J., Moffat, Jason, Myers, Chad L., Gevaert, Kris, Boone, Charles, Martinho, Rui Gonçalo, and Arnesen, Thomas

Published
2023
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10. Identification of acquired Notch3 dependency in metastatic Head and Neck Cancer

Author

Kondratyev, Maria, Pesic, Aleksandra, Ketela, Troy, Stickle, Natalie, Beswick, Christine, Shalev, Zvi, Marastoni, Stefano, Samadian, Soroush, Dvorkin-Gheva, Anna, Sayad, Azin, Bashkurov, Mikhail, Boasquevisque, Pedro, Datti, Alessandro, Pugh, Trevor J., Virtanen, Carl, Moffat, Jason, Grénman, Reidar A., Koritzinsky, Marianne, and Wouters, Bradly G.

Published
2023
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11. Author Correction: Characterization of an RNA binding protein interactome reveals a context-specific post-transcriptional landscape of MYC-amplified medulloblastoma

Author

Kameda-Smith, Michelle M., Zhu, Helen, Luo, En-Ching, Suk, Yujin, Xella, Agata, Yee, Brian, Chokshi, Chirayu, Xing, Sansi, Tan, Frederick, Fox, Raymond G., Adile, Ashley A., Bakhshinyan, David, Brown, Kevin, Gwynne, William D., Subapanditha, Minomi, Miletic, Petar, Picard, Daniel, Burns, Ian, Moffat, Jason, Paruch, Kamil, Fleming, Adam, Hope, Kristin, Provias, John P., Remke, Marc, Lu, Yu, Reya, Tannishtha, Venugopal, Chitra, Reimand, Jüri, Wechsler-Reya, Robert J., Yeo, Gene W., and Singh, Sheila K.

Published
2023
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12. Characterization of an RNA binding protein interactome reveals a context-specific post-transcriptional landscape of MYC-amplified medulloblastoma

Author

Kameda-Smith, Michelle M, Zhu, Helen, Luo, En-Ching, Suk, Yujin, Xella, Agata, Yee, Brian, Chokshi, Chirayu, Xing, Sansi, Tan, Frederick, Fox, Raymond G, Adile, Ashley A, Bakhshinyan, David, Brown, Kevin, Gwynne, William D, Subapanditha, Minomi, Miletic, Petar, Picard, Daniel, Burns, Ian, Moffat, Jason, Paruch, Kamil, Fleming, Adam, Hope, Kristin, Provias, John P, Remke, Marc, Lu, Yu, Reya, Tannishtha, Venugopal, Chitra, Reimand, Jüri, Wechsler-Reya, Robert J, Yeo, Gene W, and Singh, Sheila K

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Neurosciences, Genetics, Rare Diseases, Pediatric Cancer, Pediatric, Cancer, Brain Cancer, Brain Disorders, Human Genome, Biotechnology, Aetiology, Development of treatments and therapeutic interventions, 5.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Animals, Mice, Humans, Proteomics, Medulloblastoma, RNA-Binding Proteins, Brain Neoplasms, Cerebellar Neoplasms, Nerve Tissue Proteins
Abstract

Pediatric medulloblastoma (MB) is the most common solid malignant brain neoplasm, with Group 3 (G3) MB representing the most aggressive subgroup. MYC amplification is an independent poor prognostic factor in G3 MB, however, therapeutic targeting of the MYC pathway remains limited and alternative therapies for G3 MB are urgently needed. Here we show that the RNA-binding protein, Musashi-1 (MSI1) is an essential mediator of G3 MB in both MYC-overexpressing mouse models and patient-derived xenografts. MSI1 inhibition abrogates tumor initiation and significantly prolongs survival in both models. We identify binding targets of MSI1 in normal neural and G3 MB stem cells and then cross referenced these data with unbiased large-scale screens at the transcriptomic, translatomic and proteomic levels to systematically dissect its functional role. Comparative integrative multi-omic analyses of these large datasets reveal cancer-selective MSI1-bound targets sharing multiple MYC associated pathways, providing a valuable resource for context-specific therapeutic targeting of G3 MB.

Published
2022

13. NOX4 links metabolic regulation in pancreatic cancer to endoplasmic reticulum redox vulnerability and dependence on PRDX4

Author

Jain, Pallavi, Dvorkin-Gheva, Anna, Mollen, Erik, Malbeteau, Lucie, Xie, Michael, Jessa, Fatima, Dhavarasa, Piriththiv, Chung, Stephen, Brown, Kevin R, Jang, Gun Ho, Vora, Parth, Notta, Faiyaz, Moffat, Jason, Hedley, David, Boutros, Paul C, Wouters, Bradly G, and Koritzinsky, Marianne

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Digestive Diseases, Pancreatic Cancer, Rare Diseases, Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Endoplasmic Reticulum, Humans, Hydrogen Peroxide, NADP, NADPH Oxidase 4, Oxidation-Reduction, Pancreatic Neoplasms, Peroxiredoxins, Reactive Oxygen Species
Abstract

There is an urgent need to identify vulnerabilities in pancreatic ductal adenocarcinoma (PDAC). PDAC cells acquire metabolic changes that augment NADPH production and cytosolic redox homeostasis. Here, we show that high NADPH levels drive activity of NADPH oxidase 4 (NOX4) expressed in the endoplasmic reticulum (ER) membrane. NOX4 produces H2O2 metabolized by peroxiredoxin 4 (PRDX4) in the ER lumen. Using functional genomics and subsequent in vitro and in vivo validations, we find that PDAC cell lines with high NADPH levels are dependent on PRDX4 for their growth and survival. PRDX4 addiction is associated with increased reactive oxygen species, a DNA-PKcs-governed DNA damage response and radiosensitivity, which can be rescued by depletion of NOX4 or NADPH. Hence, this study has identified NOX4 as a protein that paradoxically converts the reducing power of the cytosol to an ER-specific oxidative stress vulnerability in PDAC that may be therapeutically exploited by targeting PRDX4.

Published
2021

16. Survival-based CRISPR genetic screens across a panel of permissive cell lines identify common and cell-specific SARS-CoV-2 host factors

Author

Chan, Katherine, Farias, Adrian Granda, Lee, Hunsang, Guvenc, Furkan, Mero, Patricia, Brown, Kevin R., Ward, Henry, Billmann, Maximilian, Aulakh, Kamaldeep, Astori, Audrey, Haider, Shahan, Marcon, Edyta, Braunschweig, Ulrich, Pu, Shuye, Habsid, Andrea, Yan Tong, Amy Hin, Christie-Holmes, Natasha, Budylowski, Patrick, Ghalami, Ayoob, Mubareka, Samira, Maguire, Finlay, Banerjee, Arinjay, Mossman, Karen L., Greenblatt, Jack, Gray-Owen, Scott D., Raught, Brian, Blencowe, Benjamin J., Taipale, Mikko, Myers, Chad, and Moffat, Jason

Published
2023
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18. Cancer-selective metabolic vulnerabilities in MYC-amplified medulloblastoma

Author

Gwynne, William D., Suk, Yujin, Custers, Stefan, Mikolajewicz, Nicholas, Chan, Jeremy K., Zador, Zsolt, Chafe, Shawn C., Zhai, Kui, Escudero, Laura, Zhang, Cunjie, Zaslaver, Olga, Chokshi, Chirayu, Shaikh, Muhammad Vaseem, Bakhshinyan, David, Burns, Ian, Chaudhry, Iqra, Nachmani, Omri, Mobilio, Daniel, Maich, William T., Mero, Patricia, Brown, Kevin R., Quaile, Andrew T., Venugopal, Chitra, Moffat, Jason, Montenegro-Burke, J. Rafael, and Singh, Sheila K.

Published
2022
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21. High-content CRISPR screening

Author

Bock, Christoph, Datlinger, Paul, Chardon, Florence, Coelho, Matthew A., Dong, Matthew B., Lawson, Keith A., Lu, Tian, Maroc, Laetitia, Norman, Thomas M., Song, Bicna, Stanley, Geoff, Chen, Sidi, Garnett, Mathew, Li, Wei, Moffat, Jason, Qi, Lei S., Shapiro, Rebecca S., Shendure, Jay, Weissman, Jonathan S., and Zhuang, Xiaowei

Published
2022
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23. FAM72A antagonizes UNG2 to promote mutagenic repair during antibody maturation

Author

Feng, Yuqing, Li, Conglei, Stewart, Jessica A., Barbulescu, Philip, Desivo, Noé Seija, Álvarez-Quilón, Alejandro, Pezo, Rossanna C., Perera, Madusha L. W., Chan, Katherine, Tong, Amy Hin Yan, Mohamad-Ramshan, Rukshana, Berru, Maribel, Nakib, Diana, Li, Gavin, Kardar, Gholam Ali, Carlyle, James R., Moffat, Jason, Durocher, Daniel, Di Noia, Javier M., Bhagwat, Ashok S., and Martin, Alberto

Published
2021
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25. Highly multiplexed and quantitative cell-surface protein profiling using genetically barcoded antibodies

Author

Pollock, Samuel B, Hu, Amy, Mou, Yun, Martinko, Alexander J, Julien, Olivier, Hornsby, Michael, Ploder, Lynda, Adams, Jarrett J, Geng, Huimin, Müschen, Markus, Sidhu, Sachdev S, Moffat, Jason, and Wells, James A

Subjects
Genetics, Hematology, Rare Diseases, Cancer, Pediatric, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Generic health relevance, Antibodies, Bacteriophages, Burkitt Lymphoma, Cell Line, Tumor, High-Throughput Nucleotide Sequencing, Humans, Leukemia, Membrane Proteins, Proteomics, phage display, NGS, cell surface proteomics, biomarkers, leukemia
Abstract

Human cells express thousands of different surface proteins that can be used for cell classification, or to distinguish healthy and disease conditions. A method capable of profiling a substantial fraction of the surface proteome simultaneously and inexpensively would enable more accurate and complete classification of cell states. We present a highly multiplexed and quantitative surface proteomic method using genetically barcoded antibodies called phage-antibody next-generation sequencing (PhaNGS). Using 144 preselected antibodies displayed on filamentous phage (Fab-phage) against 44 receptor targets, we assess changes in B cell surface proteins after the development of drug resistance in a patient with acute lymphoblastic leukemia (ALL) and in adaptation to oncogene expression in a Myc-inducible Burkitt lymphoma model. We further show PhaNGS can be applied at the single-cell level. Our results reveal that a common set of proteins including FLT3, NCR3LG1, and ROR1 dominate the response to similar oncogenic perturbations in B cells. Linking high-affinity, selective, genetically encoded binders to NGS enables direct and highly multiplexed protein detection, comparable to RNA-sequencing for mRNA. PhaNGS has the potential to profile a substantial fraction of the surface proteome simultaneously and inexpensively to enable more accurate and complete classification of cell states.

Published
2018

27. TSC22D, WNK and NRBP gene families exhibit functional buffering and evolved with Metazoa for macromolecular crowd sensing

Author

Xiao, Yu-Xi, primary, Lee, Seon Yong, additional, Aguilera-Uribe, Magali, additional, Samson, Reuben, additional, Au, Aaron, additional, Khanna, Yukti, additional, Liu, Zetao, additional, Cheng, Ran, additional, Aulakh, Kamaldeep, additional, Wei, Jiarun, additional, Farias, Adrian Granda, additional, Reilly, Taylor, additional, Habsid, Andrea, additional, Brown, Kevin R., additional, Chan, Katherine, additional, Mero, Patricia, additional, Huang, Jie Qi, additional, Billmann, Maximilian, additional, Rahman, Mahfuzur, additional, Myers, Chad, additional, Andrews, Brenda J., additional, Youn, Ji-Young, additional, Yip, Christopher M., additional, Rotin, Daniela, additional, Derry, W. Brent, additional, Forman-Kay, Julie D., additional, Moses, Alan M., additional, Pritišanac, Iva, additional, Gingras, Anne-Claude, additional, and Moffat, Jason, additional

Published
2024
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28. Supplementary Figure S1-2 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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29. Supplementary Figure S5-1 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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30. Supplementary Table S7-1 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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31. Data from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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32. Supplementary methods S6 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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33. Supplementary Figure S8-3 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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34. Supplementary Figure S11-7 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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35. Supplementary Figure S5-4 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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36. Supplementary Figure S11-8 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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37. Supplementary Figure S11-5 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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38. Supplementary Figure S11-6 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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39. Supplementary Table S7-2 from Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz Ruiz, Maria J., primary, Bogatyrova, Olga, primary, Keil, Marina, primary, Rohdich, Felix, primary, Blume, Beatrix, primary, Leuthner, Birgitta, primary, Czauderna, Frank, primary, Hahn, Diane, primary, Jabs, Julia, primary, Jaehrling, Frank, primary, Heinrich, Timo, primary, Kellner, Roland, primary, Chan, Katherine, primary, Tong, Amy H.Y., primary, Wienke, Dirk, primary, Moffat, Jason, primary, Blaukat, Andree, primary, and Zenke, Frank T., primary

Published
2024
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43. Topoisomerase 1 Inhibition in MYC-Driven Cancer Promotes Aberrant R-Loop Accumulation to Induce Synthetic Lethality

Author

Lin, Peter, primary, Lourenco, Corey, additional, Cruickshank, Jennifer, additional, Palomero, Luis, additional, van Leeuwen, Jenna E., additional, Tong, Amy H. Y., additional, Chan, Katherine, additional, El Ghamrasni, Samah, additional, Pujana, Miquel Angel, additional, Cescon, David W., additional, Moffat, Jason, additional, and Penn, Linda Z., additional

Published
2023
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44. Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models

Author

Friese-Hamim, Manja, primary, Ortiz-Ruiz, Maria J., additional, Bogatyrova, Olga, additional, Keil, Marina, additional, Rohdich, Felix, additional, Blume, Beatrix, additional, Leuthner, Birgitta, additional, Czauderna, Frank, additional, Hahn, Diane, additional, Jabs, Julia, additional, Jaehrling, Frank, additional, Heinrich, Timo, additional, Kellner, Roland, additional, Chan, Katherine, additional, Tong, Amy H. Y., additional, Wienke, Dirk, additional, Moffat, Jason, additional, Blaukat, Andree, additional, and Zenke, Frank T., additional

Published
2023
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45. Functional genomic landscape of cancer-intrinsic evasion of killing by T cells

Author

Lawson, Keith A., Sousa, Cristovão M., Zhang, Xiaoyu, Kim, Eiru, Akthar, Rummy, Caumanns, Joseph J., Yao, Yuxi, Mikolajewicz, Nicholas, Ross, Catherine, Brown, Kevin R., Zid, Abdelrahman Abou, Fan, Zi Peng, Hui, Shirley, Krall, Jordan A., Simons, Donald M., Slater, Chloe J., De Jesus, Victor, Tang, Lujia, Singh, Richa, Goldford, Joshua E., Martin, Sarah, Huang, Qian, Francis, Elizabeth A., Habsid, Andrea, Climie, Ryan, Tieu, David, Wei, Jiarun, Li, Ren, Tong, Amy Hin Yan, Aregger, Michael, Chan, Katherine S., Han, Hong, Wang, Xiaowei, Mero, Patricia, Brumell, John H., Finelli, Antonio, Ailles, Laurie, Bader, Gary, Smolen, Gromoslaw A., Kingsbury, Gillian A., Hart, Traver, Kung, Charles, and Moffat, Jason

Published
2020
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48. Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism

Author

Aregger, Michael, Lawson, Keith A., Billmann, Maximillian, Costanzo, Michael, Tong, Amy H. Y., Chan, Katherine, Rahman, Mahfuzur, Brown, Kevin R., Ross, Catherine, Usaj, Matej, Nedyalkova, Lucy, Sizova, Olga, Habsid, Andrea, Pawling, Judy, Lin, Zhen-Yuan, Abdouni, Hala, Wong, Cassandra J., Weiss, Alexander, Mero, Patricia, Dennis, James W., Gingras, Anne-Claude, Myers, Chad L., Andrews, Brenda J., Boone, Charles, and Moffat, Jason

Published
2020
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