39 results on '"Tischfield, Sam E."'
Search Results
2. Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts
- Author
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Caeser, Rebecca, Egger, Jacklynn V., Chavan, Shweta, Socci, Nicholas D., Jones, Caitlin Byrne, Kombak, Faruk Erdem, Asher, Marina, Roehrl, Michael H., Shah, Nisargbhai S., Allaj, Viola, Manoj, Parvathy, Tischfield, Sam E., Kulick, Amanda, Meneses, Maximiliano, Iacobuzio-Donahue, Christine A., Lai, W. Victoria, Bhanot, Umeshkumar, Baine, Marina K., Rekhtman, Natasha, Hollmann, Travis J., de Stanchina, Elisa, Poirier, John T., Rudin, Charles M., and Sen, Triparna
- Published
- 2022
- Full Text
- View/download PDF
3. Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
- Author
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Published
- 2022
- Full Text
- View/download PDF
4. MAPK pathway activation selectively inhibits ASCL1-driven small cell lung cancer
- Author
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Caeser, Rebecca, Hulton, Christopher, Costa, Emily, Durani, Vidushi, Little, Megan, Chen, Xiaoping, Tischfield, Sam E., Asher, Marina, Kombak, Faruk Erdem, Chavan, Shweta S., Shah, Nisargbhai S., Ciampricotti, Metamia, de Stanchina, Elisa, Poirier, John T., Rudin, Charles M., and Sen, Triparna
- Published
- 2021
- Full Text
- View/download PDF
5. Structural and functional characterization of the Spo11 core complex
- Author
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Claeys Bouuaert, Corentin, Tischfield, Sam E., Pu, Stephen, Mimitou, Eleni P., Arias-Palomo, Ernesto, Berger, James M., and Keeney, Scott
- Published
- 2021
- Full Text
- View/download PDF
6. Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
- Author
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Asselbergs, Folkert W, Guo, Yiran, van Iperen, Erik PA, Sivapalaratnam, Suthesh, Tragante, Vinicius, Lanktree, Matthew B, Lange, Leslie A, Almoguera, Berta, Appelman, Yolande E, Barnard, John, Baumert, Jens, Beitelshees, Amber L, Bhangale, Tushar R, Chen, Yii-Der Ida, Gaunt, Tom R, Gong, Yan, Hopewell, Jemma C, Johnson, Toby, Kleber, Marcus E, Langaee, Taimour Y, Li, Mingyao, Li, Yun R, Liu, Kiang, McDonough, Caitrin W, Meijs, Matthijs FL, Middelberg, Rita PS, Musunuru, Kiran, Nelson, Christopher P, O’Connell, Jeffery R, Padmanabhan, Sandosh, Pankow, James S, Pankratz, Nathan, Rafelt, Suzanne, Rajagopalan, Ramakrishnan, Romaine, Simon PR, Schork, Nicholas J, Shaffer, Jonathan, Shen, Haiqing, Smith, Erin N, Tischfield, Sam E, van der Most, Peter J, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Volcik, Kelly A, Zhang, Li, Bailey, Kent R, Bailey, Kristian M, Bauer, Florianne, Boer, Jolanda MA, Braund, Peter S, Burt, Amber, Burton, Paul R, Buxbaum, Sarah G, Chen, Wei, Cooper-DeHoff, Rhonda M, Cupples, L Adrienne, deJong, Jonas S, Delles, Christian, Duggan, David, Fornage, Myriam, Furlong, Clement E, Glazer, Nicole, Gums, John G, Hastie, Claire, Holmes, Michael V, Illig, Thomas, Kirkland, Susan A, Kivimaki, Mika, Klein, Ronald, Klein, Barbara E, Kooperberg, Charles, Kottke-Marchant, Kandice, Kumari, Meena, LaCroix, Andrea Z, Mallela, Laya, Murugesan, Gurunathan, Ordovas, Jose, Ouwehand, Willem H, Post, Wendy S, Saxena, Richa, Scharnagl, Hubert, Schreiner, Pamela J, Shah, Tina, Shields, Denis C, Shimbo, Daichi, Srinivasan, Sathanur R, Stolk, Ronald P, Swerdlow, Daniel I, Taylor, Herman A, Topol, Eric J, Toskala, Elina, van Pelt, Joost L, van Setten, Jessica, Yusuf, Salim, Whittaker, John C, Zwinderman, AH, Study, LifeLines Cohort, Anand, Sonia S, Balmforth, Anthony J, and Berenson, Gerald S
- Subjects
Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Epidemiology ,Health Sciences ,Human Genome ,Cardiovascular ,Atherosclerosis ,Aetiology ,2.1 Biological and endogenous factors ,Cholesterol ,HDL ,Cholesterol ,LDL ,Female ,Genome-Wide Association Study ,Genotype ,Humans ,Lipids ,Male ,Phenotype ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Sex Factors ,Triglycerides ,White People ,LifeLines Cohort Study ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
- Published
- 2012
7. Data from Multiomic Analysis of Lung Tumors Defines Pathways Activated in Neuroendocrine Transformation
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Quintanal-Villalonga, Alvaro, primary, Taniguchi, Hirokazu, primary, Zhan, Yingqian A., primary, Hasan, Maysun M., primary, Chavan, Shweta S., primary, Meng, Fanli, primary, Uddin, Fathema, primary, Manoj, Parvathy, primary, Donoghue, Mark T.A., primary, Won, Helen H., primary, Chan, Joseph M., primary, Ciampricotti, Metamia, primary, Chow, Andrew, primary, Offin, Michael, primary, Chang, Jason C., primary, Ray-Kirton, Jordana, primary, Tischfield, Sam E., primary, Egger, Jacklynn, primary, Bhanot, Umesh K., primary, Linkov, Irina, primary, Asher, Marina, primary, Sinha, Sonali, primary, Silber, Joachim, primary, Iacobuzio-Donahue, Christine A., primary, Roehrl, Michael H., primary, Hollmann, Travis J., primary, Yu, Helena A., primary, Qiu, Juan, primary, de Stanchina, Elisa, primary, Baine, Marina K., primary, Rekhtman, Natasha, primary, Poirier, John T., primary, Loomis, Brian, primary, Koche, Richard P., primary, Rudin, Charles M., primary, and Sen, Triparna, primary
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- 2023
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8. Supplementary Figures from Multiomic Analysis of Lung Tumors Defines Pathways Activated in Neuroendocrine Transformation
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Quintanal-Villalonga, Alvaro, primary, Taniguchi, Hirokazu, primary, Zhan, Yingqian A., primary, Hasan, Maysun M., primary, Chavan, Shweta S., primary, Meng, Fanli, primary, Uddin, Fathema, primary, Manoj, Parvathy, primary, Donoghue, Mark T.A., primary, Won, Helen H., primary, Chan, Joseph M., primary, Ciampricotti, Metamia, primary, Chow, Andrew, primary, Offin, Michael, primary, Chang, Jason C., primary, Ray-Kirton, Jordana, primary, Tischfield, Sam E., primary, Egger, Jacklynn, primary, Bhanot, Umesh K., primary, Linkov, Irina, primary, Asher, Marina, primary, Sinha, Sonali, primary, Silber, Joachim, primary, Iacobuzio-Donahue, Christine A., primary, Roehrl, Michael H., primary, Hollmann, Travis J., primary, Yu, Helena A., primary, Qiu, Juan, primary, de Stanchina, Elisa, primary, Baine, Marina K., primary, Rekhtman, Natasha, primary, Poirier, John T., primary, Loomis, Brian, primary, Koche, Richard P., primary, Rudin, Charles M., primary, and Sen, Triparna, primary
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- 2023
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- View/download PDF
9. Supplementary Tables from Multiomic Analysis of Lung Tumors Defines Pathways Activated in Neuroendocrine Transformation
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Quintanal-Villalonga, Alvaro, primary, Taniguchi, Hirokazu, primary, Zhan, Yingqian A., primary, Hasan, Maysun M., primary, Chavan, Shweta S., primary, Meng, Fanli, primary, Uddin, Fathema, primary, Manoj, Parvathy, primary, Donoghue, Mark T.A., primary, Won, Helen H., primary, Chan, Joseph M., primary, Ciampricotti, Metamia, primary, Chow, Andrew, primary, Offin, Michael, primary, Chang, Jason C., primary, Ray-Kirton, Jordana, primary, Tischfield, Sam E., primary, Egger, Jacklynn, primary, Bhanot, Umesh K., primary, Linkov, Irina, primary, Asher, Marina, primary, Sinha, Sonali, primary, Silber, Joachim, primary, Iacobuzio-Donahue, Christine A., primary, Roehrl, Michael H., primary, Hollmann, Travis J., primary, Yu, Helena A., primary, Qiu, Juan, primary, de Stanchina, Elisa, primary, Baine, Marina K., primary, Rekhtman, Natasha, primary, Poirier, John T., primary, Loomis, Brian, primary, Koche, Richard P., primary, Rudin, Charles M., primary, and Sen, Triparna, primary
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- 2023
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10. The ectonucleotidase CD39 identifies tumor-reactive CD8+ T cells predictive of immune checkpoint blockade efficacy in human lung cancer
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Chow, Andrew, primary, Uddin, Fathema Z., additional, Liu, Michael, additional, Dobrin, Anton, additional, Nabet, Barzin Y., additional, Mangarin, Levi, additional, Lavin, Yonit, additional, Rizvi, Hira, additional, Tischfield, Sam E., additional, Quintanal-Villalonga, Alvaro, additional, Chan, Joseph M., additional, Shah, Nisargbhai, additional, Allaj, Viola, additional, Manoj, Parvathy, additional, Mattar, Marissa, additional, Meneses, Maximiliano, additional, Landau, Rebecca, additional, Ward, Mariana, additional, Kulick, Amanda, additional, Kwong, Charlene, additional, Wierzbicki, Matthew, additional, Yavner, Jessica, additional, Egger, Jacklynn, additional, Chavan, Shweta S., additional, Farillas, Abigail, additional, Holland, Aliya, additional, Sridhar, Harsha, additional, Ciampricotti, Metamia, additional, Hirschhorn, Daniel, additional, Guan, Xiangnan, additional, Richards, Allison L., additional, Heller, Glenn, additional, Mansilla-Soto, Jorge, additional, Sadelain, Michel, additional, Klebanoff, Christopher A., additional, Hellmann, Matthew D., additional, Sen, Triparna, additional, de Stanchina, Elisa, additional, Wolchok, Jedd D., additional, Merghoub, Taha, additional, and Rudin, Charles M., additional
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- 2023
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11. Structural and functional characterization of the Spo11 core complex
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National Cancer Institute (US), Howard Hughes Medical Institute, European Commission, Fonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles), Bouuaert, Corentin Claeys [0000-0001-5801-7313], Tischfield, Sam E. [000-0002-5717-3856], Mimitou, Eleni P. [0000-0001-9737-6394], Arias-Palomo, Ernesto [0000-0002-2706-7411], Berger, James M. [0000-0003-0666-1240], Keeney, Scott [0000-0002-1283-6417], Bouuaert, Corentin Claeys, Tischfield, Sam E., Pu, Stephen, Mimitou, Eleni P., Arias-Palomo, Ernesto, Berger, James M., Keeney, Scott, National Cancer Institute (US), Howard Hughes Medical Institute, European Commission, Fonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles), Bouuaert, Corentin Claeys [0000-0001-5801-7313], Tischfield, Sam E. [000-0002-5717-3856], Mimitou, Eleni P. [0000-0001-9737-6394], Arias-Palomo, Ernesto [0000-0002-2706-7411], Berger, James M. [0000-0003-0666-1240], Keeney, Scott [0000-0002-1283-6417], Bouuaert, Corentin Claeys, Tischfield, Sam E., Pu, Stephen, Mimitou, Eleni P., Arias-Palomo, Ernesto, Berger, James M., and Keeney, Scott
- Abstract
Spo11, which makes DNA double-strand breaks (DSBs) that are essential for meiotic recombination, has long been recalcitrant to biochemical study. We provide molecular analysis of Saccharomyces cerevisiae Spo11 purified with partners Rec102, Rec104 and Ski8. Rec102 and Rec104 jointly resemble the B subunit of archaeal topoisomerase VI, with Rec104 occupying a position similar to the Top6B GHKL-type ATPase domain. Unexpectedly, the Spo11 complex is monomeric (1:1:1:1 stoichiometry), consistent with dimerization controlling DSB formation. Reconstitution of DNA binding reveals topoisomerase-like preferences for duplex–duplex junctions and bent DNA. Spo11 also binds noncovalently but with high affinity to DNA ends mimicking cleavage products, suggesting a mechanism to cap DSB ends. Mutations that reduce DNA binding in vitro attenuate DSB formation, alter DSB processing and reshape the DSB landscape in vivo. Our data reveal structural and functional similarities between the Spo11 core complex and Topo VI, but also highlight differences reflecting their distinct biological roles.
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- 2021
12. Abstract 90: STAT3-driven MAPK activation represents a therapeutic vulnerability in ASCL1 high SCLC
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Caeser, Rebecca, primary, Hulton, Christopher, additional, Costa, Emily, additional, Durani, Vidushi, additional, Little, Megan, additional, Chen, Xiaoping, additional, Tischfield, Sam E., additional, Asher, Marina, additional, Kombak, Faruk Erdem, additional, Chavan, Shweta S., additional, Shah, Nisargbhai S., additional, Ciampricotti, Metamia, additional, de Stanchina, Elisa, additional, Poirier, John T., additional, Rudin, Charles M., additional, and Sen, Triparna, additional
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- 2022
- Full Text
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13. Additional file 4 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 4: Figure S6. Overall survival of patients based on OncoCast-MPM risk group
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- 2022
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14. Additional file 8 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 8: Figure S9. Gene expression changes in TCGA mesothelioma tumors as a function of overall survival.
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- 2022
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15. Additional file 2 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 2: Figure S1. Clinical outcomes of patients based on histology
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- 2022
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16. Additional file 5 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 5: Table S2. Mapping statistics for RNA-Seq dataset
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- 2022
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17. Additional file 1 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 1: Table S1. Patient demographics at the time of PDX collection by histology.
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- 2022
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18. Additional file 7 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 7: Figure S8. Patient outcomes based on clinical benefit of platinum-based chemotherapy.
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- 2022
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19. Additional file 3 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 3: Figure S2-S5. Detailed annotation of comparative histology of available patient samples and PDX models.
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- 2022
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20. Additional file 6 of Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library
- Author
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Offin, Michael, Sauter, Jennifer L., Tischfield, Sam E., Egger, Jacklynn V., Chavan, Shweta, Shah, Nisargbhai S., Manoj, Parvathy, Ventura, Katia, Allaj, Viola, de Stanchina, Elisa, Travis, William, Ladanyi, Marc, Rimner, Andreas, Rusch, Valerie W., Adusumilli, Prasad S., Poirier, John T., Zauderer, Marjorie G., Rudin, Charles M., and Sen, Triparna
- Abstract
Additional file 6: Figure S7. Gene expression changes in TCGA mesothelioma tumors as a function of consensus histology.
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- 2022
- Full Text
- View/download PDF
21. Multiomic Analysis of Lung Tumors Defines Pathways Activated in Neuroendocrine Transformation
- Author
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Quintanal-Villalonga, Alvaro, primary, Taniguchi, Hirokazu, additional, Zhan, Yingqian A., additional, Hasan, Maysun M., additional, Chavan, Shweta S., additional, Meng, Fanli, additional, Uddin, Fathema, additional, Manoj, Parvathy, additional, Donoghue, Mark T.A., additional, Won, Helen H., additional, Chan, Joseph M., additional, Ciampricotti, Metamia, additional, Chow, Andrew, additional, Offin, Michael, additional, Chang, Jason C., additional, Ray-Kirton, Jordana, additional, Tischfield, Sam E., additional, Egger, Jacklynn, additional, Bhanot, Umesh K., additional, Linkov, Irina, additional, Asher, Marina, additional, Sinha, Sonali, additional, Silber, Joachim, additional, Iacobuzio-Donahue, Christine A., additional, Roehrl, Michael H., additional, Hollmann, Travis J., additional, Yu, Helena A., additional, Qiu, Juan, additional, de Stanchina, Elisa, additional, Baine, Marina K., additional, Rekhtman, Natasha, additional, Poirier, John T., additional, Loomis, Brian, additional, Koche, Richard P., additional, Rudin, Charles M., additional, and Sen, Triparna, additional
- Published
- 2021
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22. Developmental chromatin programs determine oncogenic competence in melanoma
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Baggiolini, Arianna, primary, Callahan, Scott J., additional, Montal, Emily, additional, Weiss, Joshua M., additional, Trieu, Tuan, additional, Tagore, Mohita M., additional, Tischfield, Sam E., additional, Walsh, Ryan M., additional, Suresh, Shruthy, additional, Fan, Yujie, additional, Campbell, Nathaniel R., additional, Perlee, Sarah C., additional, Saurat, Nathalie, additional, Hunter, Miranda V., additional, Simon-Vermot, Theresa, additional, Huang, Ting-Hsiang, additional, Ma, Yilun, additional, Hollmann, Travis, additional, Tickoo, Satish K., additional, Taylor, Barry S., additional, Khurana, Ekta, additional, Koche, Richard P., additional, Studer, Lorenz, additional, and White, Richard M., additional
- Published
- 2021
- Full Text
- View/download PDF
23. Structural and functional characterization of the Spo11 core complex
- Author
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UCL - SST/LIBST - Louvain Institute of Biomolecular Science and Technology, Claeys Bouuaert, Corentin, Tischfield, Sam E., Pu, Stephen, Mimitou, Eleni P., Arias-Palomo, Ernesto, Berger, James M., Keeney, Scott, UCL - SST/LIBST - Louvain Institute of Biomolecular Science and Technology, Claeys Bouuaert, Corentin, Tischfield, Sam E., Pu, Stephen, Mimitou, Eleni P., Arias-Palomo, Ernesto, Berger, James M., and Keeney, Scott
- Abstract
Spo11, which makes DNA double-strand breaks (DSBs) that are essential for meiotic recombination, has long been recalcitrant to biochemical study. We provide molecular analysis of Saccharomyces cerevisiae Spo11 purified with partners Rec102, Rec104 and Ski8. Rec102 and Rec104 jointly resemble the B subunit of archaeal topoisomerase VI, with Rec104 occupying a position similar to the Top6B GHKL-type ATPase domain. Unexpectedly, the Spo11 complex is monomeric (1:1:1:1 stoichiometry), consistent with dimerization controlling DSB formation. Reconstitution of DNA binding reveals topoisomerase-like preferences for duplex–duplex junctions and bent DNA. Spo11 also binds noncovalently but with high affinity to DNA ends mimicking cleavage products, suggesting a mechanism to cap DSB ends. Mutations that reduce DNA binding in vitro attenuate DSB formation, alter DSB processing and reshape the DSB landscape in vivo. Our data reveal structural and functional similarities between the Spo11 core complex and Topo VI, but also highlight differences reflecting their distinct biological roles.
- Published
- 2021
24. Developmental chromatin programs determine oncogenic competence in melanoma
- Author
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Baggiolini, Arianna, primary, Callahan, Scott J., additional, Trieu, Tuan, additional, Tagore, Mohita M., additional, Montal, Emily, additional, Weiss, Joshua M., additional, Tischfield, Sam E., additional, Fan, Yujie, additional, Campbell, Nathaniel R., additional, Saurat, Nathalie, additional, Hollmann, Travis, additional, Simon-Vermot, Theresa, additional, Tickoo, Satish K., additional, Taylor, Barry S., additional, Koche, Richard, additional, Khurana, Ekta, additional, Studer, Lorenz, additional, and White, Richard M., additional
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- 2020
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25. Structural and functional characterization of the Spo11 core complex
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Bouuaert, Corentin Claeys, primary, Tischfield, Sam E., additional, Pu, Stephen, additional, Mimitou, Eleni P., additional, Arias-Palomo, Ernesto, additional, Berger, James M., additional, and Keeney, Scott, additional
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- 2020
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26. Genomic and chromatin features shaping meiotic double-strand break formation and repair in mice
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Yamada, Shintaro, primary, Kim, Seoyoung, additional, Tischfield, Sam E., additional, Jasin, Maria, additional, Lange, Julian, additional, and Keeney, Scott, additional
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- 2017
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27. The Landscape of Mouse Meiotic Double-Strand Break Formation, Processing, and Repair
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Lange, Julian, primary, Yamada, Shintaro, additional, Tischfield, Sam E., additional, Pan, Jing, additional, Kim, Seoyoung, additional, Zhu, Xuan, additional, Socci, Nicholas D., additional, Jasin, Maria, additional, and Keeney, Scott, additional
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- 2016
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28. Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
- Author
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Asselbergs, Folkert W., Guo, Yiran, Van Iperen, Erik P. A., Sivapalaratnam, Suthesh, Tragante, Vinicius, Lanktree, Matthew B., Lange, Leslie A., Almoguera, Berta, Appelman, Yolande E., Barnard, John, Baumert, Jens, Beitelshees, Amber L., Bhangale, Tushar R., Chen, Yii-Der Ida, Gaunt, Tom R., Gong, Yan, Hopewell, Jemma C., Johnson, Toby, Kleber, Marcus E., Langaee, Taimour Y., Li, Mingyao, Li, Yun R., Liu, Kiang, McDonough, Caitrin W., Meijs, Matthijs F. L., Middelberg, Rita P. S., Musunuru, Kiran, Nelson, Christopher P., O’Connell, Jeffrey R., Padmanabhan, Sandosh, Pankow, James S., Pankratz, Nathan, Rafelt, Suzanne, Rajagopalan, Ramakrishnan, Romaine, Simon P. R., Schork, Nicholas J., Shaffer, Jonathan, Shen, Haiqing, Smith, Erin N., Tischfield, Sam E., Van Der Most, Peter J., Van Vliet-Ostaptchouk, Jana V., Verweij, Niek, Volcik, Kelly A., Zhang, Li, Bailey, Kent R., Bailey, Kristian M., Bauer, Florianne, Boer, Jolanda M. A., Braund, Peter S., Burt, Amber, Burton, Paul R., Buxbaum, Sarah G., Chen, Wei, Cooper-DeHoff, Rhonda M., Cupples, L. Adrienne, DeJong, Jonas S., Delles, Christian, Duggan, David, Fornage, Myriam, Furlong, Clement E., Glazer, Nicole, Gums, John G., Hastie, Claire, Holmes, Michael V., Illig, Thomas, Kirkland, Susan A., Kivimaki, Mika, Klein, Ronald, Klein, Barbara E., Kooperberg, Charles, Kottke-Marchant, Kandice, Kumari, Meena, LaCroix, Andrea Z., Mallela, Laya, Murugesan, Gurunathan, Ordovas, Jose, Ouwehand, Willem H., Post, Wendy S., Saxena, Richa, Scharnagl, Hubert, Schreiner, Pamela J., Shah, Tina, Shields, Denis C., Shimbo, Daichi, Srinivasan, Sathanur R., Stolk, Ronald P., Swerdlow, Daniel I., Taylor Jr., Herman A., Topol, Eric J., Toskala, Elina, Van Pelt, Joost L., Van Setten, Jessica, Yusuf, Salim, Whittaker, John C., Zwinderman, A. H., Anand, Sonia S., Balmforth, Anthony J., Berenson, Gerald S., Bezzina, Connie R., Boehm, Bernhard O., Boerwinkle, Eric, Casas, Juan P., Caulfield, Mark J., Clarke, Robert, Connell, John M., Cruickshanks, Karen J., Davidson, Karina W., Day, Ian N. M., De Bakker, Paul I. W., Doevendans, Pieter A., Dominiczak, Anna F., Hall, Alistair S., Hartman, Catharina A., Hengstenberg, Christian, Hillege, Hans L., Hofker, Marten H., Humphries, Steve E., Jarvik, Gail P., Johnson, Julie A., Kaess, Bernhard M., Kathiresan, Sekar, Koenig, Wolfgang, Lawlor, Debbie A., Marz, Winfried, Melander, Olle, Mitchell, Braxton D., Montgomery, Grant W., Munroe, Patricia B., Murray, Sarah S., Newhouse, Stephen J., Onland-Moret, N. Charlotte, Poulter, Neil, Psaty, Bruce, Redline, Susan, Rich, Stephen S., Rotter, Jerome I., Schunkert, Heribert, Sever, Peter, Shuldiner, Alan R., Silverstein, Roy L., Stanton, Alice, Thorand, Barbara, Trip, Mieke D., Tsai, Michael Y., Van Der Harst, Pim, Van Der Schoot, Ellen, Van Der Schouw, Yvonne T., Verschuren, W. M. Monique, Watkins, Hugh, Wilde, Arthur A. M., Wolffenbuttel, Bruce H. R., Whitfield, John B., Hovingh, G. Kees, Ballantyne, Christie M., Wijmenga, Cisca, Reilly, Muredach P., Martin, Nicholas G., and LifeLines Cohort Study
- Subjects
Meta-analysis ,Molecular biology ,FOS: Biological sciences ,Genetics ,nutritional and metabolic diseases ,lipids (amino acids, peptides, and proteins) ,Single nucleotide polymorphisms ,Medical sciences ,Lipids - Abstract
Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
- Published
- 2012
- Full Text
- View/download PDF
29. Meiotic Recombination Initiation in and around Retrotransposable Elements in Saccharomyces cerevisiae
- Author
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Sasaki, Mariko, primary, Tischfield, Sam E., additional, van Overbeek, Megan, additional, and Keeney, Scott, additional
- Published
- 2013
- Full Text
- View/download PDF
30. Scale matters
- Author
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Tischfield, Sam E., primary and Keeney, Scott, additional
- Published
- 2012
- Full Text
- View/download PDF
31. A Hierarchical Combination of Factors Shapes the Genome-wide Topography of Yeast Meiotic Recombination Initiation
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Pan, Jing, primary, Sasaki, Mariko, additional, Kniewel, Ryan, additional, Murakami, Hajime, additional, Blitzblau, Hannah G., additional, Tischfield, Sam E., additional, Zhu, Xuan, additional, Neale, Matthew J., additional, Jasin, Maria, additional, Socci, Nicholas D., additional, Hochwagen, Andreas, additional, and Keeney, Scott, additional
- Published
- 2011
- Full Text
- View/download PDF
32. Meiotic Recombination Initiation in and around Retrotransposable Elements in Saccharomyces cerevisiae.
- Author
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Sasaki, Mariko, Tischfield, Sam E., van Overbeek, Megan, and Keeney, Scott
- Subjects
- *
MEIOSIS , *CHROMOSOMES , *TRANSPOSONS , *MOLECULAR structure of chromatin - Abstract
Meiotic recombination is initiated by large numbers of developmentally programmed DNA double-strand breaks (DSBs), ranging from dozens to hundreds per cell depending on the organism. DSBs formed in single-copy sequences provoke recombination between allelic positions on homologous chromosomes, but DSBs can also form in and near repetitive elements such as retrotransposons. When they do, they create a risk for deleterious genome rearrangements in the germ line via recombination between non-allelic repeats. A prior study in budding yeast demonstrated that insertion of a Ty retrotransposon into a DSB hotspot can suppress meiotic break formation, but properties of Ty elements in their most common physiological contexts have not been addressed. Here we compile a comprehensive, high resolution map of all Ty elements in the rapidly and efficiently sporulating S. cerevisiae strain SK1 and examine DSB formation in and near these endogenous retrotransposable elements. SK1 has 30 Tys, all but one distinct from the 50 Tys in S288C, the source strain for the yeast reference genome. From whole-genome DSB maps and direct molecular assays, we find that DSB levels and chromatin structure within and near Tys vary widely between different elements and that local DSB suppression is not a universal feature of Ty presence. Surprisingly, deletion of two Ty elements weakened adjacent DSB hotspots, revealing that at least some Ty insertions promote rather than suppress nearby DSB formation. Given high strain-to-strain variability in Ty location and the high aggregate burden of Ty-proximal DSBs, we propose that meiotic recombination is an important component of host-Ty interactions and that Tys play critical roles in genome instability and evolution in both inbred and outcrossed sexual cycles. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
33. Meiotic Recombination Initiation in and around Retrotransposable Elements in Saccharomyces cerevisiae.
- Author
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Sasaki, Mariko, Tischfield, Sam E., van Overbeek, Megan, and Keeney, Scott
- Subjects
MEIOSIS ,CHROMOSOMES ,TRANSPOSONS ,MOLECULAR structure of chromatin - Abstract
Meiotic recombination is initiated by large numbers of developmentally programmed DNA double-strand breaks (DSBs), ranging from dozens to hundreds per cell depending on the organism. DSBs formed in single-copy sequences provoke recombination between allelic positions on homologous chromosomes, but DSBs can also form in and near repetitive elements such as retrotransposons. When they do, they create a risk for deleterious genome rearrangements in the germ line via recombination between non-allelic repeats. A prior study in budding yeast demonstrated that insertion of a Ty retrotransposon into a DSB hotspot can suppress meiotic break formation, but properties of Ty elements in their most common physiological contexts have not been addressed. Here we compile a comprehensive, high resolution map of all Ty elements in the rapidly and efficiently sporulating S. cerevisiae strain SK1 and examine DSB formation in and near these endogenous retrotransposable elements. SK1 has 30 Tys, all but one distinct from the 50 Tys in S288C, the source strain for the yeast reference genome. From whole-genome DSB maps and direct molecular assays, we find that DSB levels and chromatin structure within and near Tys vary widely between different elements and that local DSB suppression is not a universal feature of Ty presence. Surprisingly, deletion of two Ty elements weakened adjacent DSB hotspots, revealing that at least some Ty insertions promote rather than suppress nearby DSB formation. Given high strain-to-strain variability in Ty location and the high aggregate burden of Ty-proximal DSBs, we propose that meiotic recombination is an important component of host-Ty interactions and that Tys play critical roles in genome instability and evolution in both inbred and outcrossed sexual cycles. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
34. ATR inhibition activates cancer cell cGAS/STING-interferon signaling and promotes antitumor immunity in small-cell lung cancer.
- Author
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Hirokazu Taniguchi, Chakraborty, Subhamoy, Nobuyuki Takahashi, Banerjee, Avisek, Rebecca Caeser, Zhan, Yingqian A., Tischfield, Sam E., Chow, Andrew, Nguyen, Evelyn M., Villalonga, Álvaro Quintanal, Manoj, Parvathy, Shah, Nisargbhai S., Rosario, Samantha, Hayatt, Omar, Rui Qu, de Stanchina, Elisa, Chan, Joseph, Hiroshi Mukae, Thomas, Anish, and Rudin, Charles M.
- Subjects
- *
PROGRAMMED death-ligand 1 , *IMMUNE checkpoint proteins , *ATAXIA telangiectasia , *T cells , *ANIMAL models in research - Abstract
Patients with small-cell lung cancer (SCLC) have poor prognosis and typically experience only transient benefits from combined immune checkpoint blockade (ICB) and chemotherapy. Here, we show that inhibition of ataxia telangiectasia and rad3 related (ATR), the primary replication stress response activator, induces DNA damage-mediated micronuclei formation in SCLC models. ATR inhibition in SCLC activates the stimulator of interferon genes (STING)-mediated interferon signaling, recruits T cells, and augments the antitumor immune response of programmed death-ligand 1 (PD-L1) blockade in mouse models. We demonstrate that combined ATR and PD-L1 inhibition causes improved antitumor response than PD-L1 alone as the second-line treatment in SCLC. This study shows that targeting ATR up-regulates major histocompatibility class I expression in preclinical models and SCLC clinical samples collected from a first-in-class clinical trial of ATR inhibitor, berzosertib, with topotecan in patients with relapsed SCLC. Targeting ATR represents a transformative vulnerability of SCLC and is a complementary strategy to induce STING-interferon signaling-mediated immunogenicity in SCLC. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
35. Structural and functional characterization of the Spo11 core complex
- Author
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Corentin Claeys Bouuaert, Scott Keeney, Stephen Pu, Sam E. Tischfield, Ernesto Arias-Palomo, Eleni P. Mimitou, James M. Berger, UCL - SST/LIBST - Louvain Institute of Biomolecular Science and Technology, National Cancer Institute (US), Howard Hughes Medical Institute, European Commission, Fonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles), Bouuaert, Corentin Claeys, Tischfield, Sam E., Mimitou, Eleni P., Arias-Palomo, Ernesto, Berger, James M., Keeney, Scott, Bouuaert, Corentin Claeys [0000-0001-5801-7313], Tischfield, Sam E. [000-0002-5717-3856], Mimitou, Eleni P. [0000-0001-9737-6394], Arias-Palomo, Ernesto [0000-0002-2706-7411], Berger, James M. [0000-0003-0666-1240], and Keeney, Scott [0000-0002-1283-6417]
- Subjects
Saccharomyces cerevisiae Proteins ,Spo11 ,Archaeal Proteins ,Protein subunit ,ATPase ,Saccharomyces cerevisiae ,Microscopy, Atomic Force ,Cleavage (embryo) ,Article ,Recombinases ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Structural Biology ,In vivo ,DNA Breaks, Double-Stranded ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,Endodeoxyribonucleases ,biology ,fungi ,biology.organism_classification ,In vitro ,3. Good health ,DNA-Binding Proteins ,Meiosis ,DNA Topoisomerases, Type II ,chemistry ,Mutation ,Biophysics ,biology.protein ,Nucleic Acid Conformation ,Homologous recombination ,030217 neurology & neurosurgery ,DNA - Abstract
54 p.-8 fig., Spo11, which makes DNA double-strand breaks (DSBs) that are essential for meiotic recombination, has long been recalcitrant to biochemical study. We provide molecular analysis of Saccharomyces cerevisiae Spo11 purified with partners Rec102, Rec104 and Ski8. Rec102 and Rec104 jointly resemble the B subunit of archaeal topoisomerase VI, with Rec104 occupying a position similar to the Top6B GHKL-type ATPase domain. Unexpectedly, the Spo11 complex is monomeric (1:1:1:1 stoichiometry), consistent with dimerization controlling DSB formation. Reconstitution of DNA binding reveals topoisomerase-like preferences for duplex–duplex junctions and bent DNA. Spo11 also binds noncovalently but with high affinity to DNA ends mimicking cleavage products, suggesting a mechanism to cap DSB ends. Mutations that reduce DNA binding in vitro attenuate DSB formation, alter DSB processing and reshape the DSB landscape in vivo. Our data reveal structural and functional similarities between the Spo11 core complex and Topo VI, but also highlight differences reflecting their distinct biological roles., MSKCC core facilities are supported by National Cancer Institute (NCI) Cancer Center support grant no. P30 CA08748. The SEC–LS/UV/RI instrumentation was supported by NIH Award Number 1S10RR023748-01. Work in the S.K. laboratory was supported principally by the Howard Hughes Medical Institute and in part by NIH grant no. R35 GM118092(S.K.). Work in the J.M.B. laboratory was funded by NCI grant no. R01-CA0777373(J.M.B.). C.C.B. was supported in part by funding from the European Research Council under the European Union’s Horizon 2020 research and innovation program (European Research Council grant agreement no. 802525) and from the Fonds National de la Recherche Scientifique (FNRS MIS-Ulysse grant no. F.6002.20) (C.C.B.).
- Published
- 2021
- Full Text
- View/download PDF
36. ATR inhibition activates cancer cell cGAS/STING-interferon signaling and promotes antitumor immunity in small-cell lung cancer.
- Author
-
Taniguchi H, Chakraborty S, Takahashi N, Banerjee A, Caeser R, Zhan YA, Tischfield SE, Chow A, Nguyen EM, Villalonga ÁQ, Manoj P, Shah NS, Rosario S, Hayatt O, Qu R, de Stanchina E, Chan J, Mukae H, Thomas A, Rudin CM, and Sen T
- Subjects
- Animals, Humans, Mice, Cell Line, Tumor, Interferons metabolism, B7-H1 Antigen metabolism, B7-H1 Antigen antagonists & inhibitors, Immune Checkpoint Inhibitors pharmacology, Immune Checkpoint Inhibitors therapeutic use, Topotecan pharmacology, Pyrazines pharmacology, Pyrazines therapeutic use, Isoxazoles, Ataxia Telangiectasia Mutated Proteins antagonists & inhibitors, Ataxia Telangiectasia Mutated Proteins metabolism, Nucleotidyltransferases metabolism, Lung Neoplasms drug therapy, Lung Neoplasms immunology, Lung Neoplasms metabolism, Lung Neoplasms pathology, Small Cell Lung Carcinoma drug therapy, Small Cell Lung Carcinoma immunology, Small Cell Lung Carcinoma metabolism, Small Cell Lung Carcinoma pathology, Membrane Proteins metabolism, Membrane Proteins genetics, Signal Transduction drug effects
- Abstract
Patients with small-cell lung cancer (SCLC) have poor prognosis and typically experience only transient benefits from combined immune checkpoint blockade (ICB) and chemotherapy. Here, we show that inhibition of ataxia telangiectasia and rad3 related (ATR), the primary replication stress response activator, induces DNA damage-mediated micronuclei formation in SCLC models. ATR inhibition in SCLC activates the stimulator of interferon genes (STING)-mediated interferon signaling, recruits T cells, and augments the antitumor immune response of programmed death-ligand 1 (PD-L1) blockade in mouse models. We demonstrate that combined ATR and PD-L1 inhibition causes improved antitumor response than PD-L1 alone as the second-line treatment in SCLC. This study shows that targeting ATR up-regulates major histocompatibility class I expression in preclinical models and SCLC clinical samples collected from a first-in-class clinical trial of ATR inhibitor, berzosertib, with topotecan in patients with relapsed SCLC. Targeting ATR represents a transformative vulnerability of SCLC and is a complementary strategy to induce STING-interferon signaling-mediated immunogenicity in SCLC.
- Published
- 2024
- Full Text
- View/download PDF
37. Chromothripsis-mediated small cell lung carcinoma.
- Author
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Rekhtman N, Tischfield SE, Febres-Aldana CA, Lee JJ, Chang JC, Herzberg BO, Selenica P, Woo HJ, Vanderbilt CM, Yang SR, Xu F, Bowman AS, da Silva EM, Noronha AM, Mandelker DL, Mehine M, Mukherjee S, Blanco-Heredia J, Orgera JJ, Nanjangud GJ, Baine MK, Aly RG, Sauter JL, Travis WD, Savari O, Moreira AL, Falcon CJ, Bodd FM, Wilson CE, Sienty JV, Manoj P, Sridhar H, Wang L, Choudhury NJ, Offin M, Yu HA, Quintanal-Villalonga A, Berger MF, Ladanyi M, Donoghue MTA, Reis-Filho JS, and Rudin CM
- Abstract
Small cell lung carcinoma (SCLC) is a highly aggressive malignancy that is typically associated with tobacco exposure and inactivation of RB1 and TP53 genes. Here we performed detailed clinicopathologic, genomic and transcriptomic profiling of an atypical subset of SCLC that lacked RB1 and TP53 co-inactivation and arose in never/light smokers. We found that most cases were associated with chromothripsis - massive, localized chromosome shattering - recurrently involving chromosomes 11 or 12, and resulting in extrachromosomal (ecDNA) amplification of CCND1 or co-amplification of CCND2/CDK4/MDM2, respectively. Uniquely, these clinically aggressive tumors exhibited genomic and pathologic links to pulmonary carcinoids, suggesting a previously uncharacterized mode of SCLC pathogenesis via transformation from lower-grade neuroendocrine tumors or their progenitors. Conversely, SCLC in never-smokers harboring inactivated RB1 and TP53 exhibited hallmarks of adenocarcinoma-to-SCLC derivation, supporting two distinct pathways of plasticity-mediated pathogenesis of SCLC in never-smokers.
- Published
- 2024
- Full Text
- View/download PDF
38. The ectonucleotidase CD39 identifies tumor-reactive CD8 + T cells predictive of immune checkpoint blockade efficacy in human lung cancer.
- Author
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Chow A, Uddin FZ, Liu M, Dobrin A, Nabet BY, Mangarin L, Lavin Y, Rizvi H, Tischfield SE, Quintanal-Villalonga A, Chan JM, Shah N, Allaj V, Manoj P, Mattar M, Meneses M, Landau R, Ward M, Kulick A, Kwong C, Wierzbicki M, Yavner J, Egger J, Chavan SS, Farillas A, Holland A, Sridhar H, Ciampricotti M, Hirschhorn D, Guan X, Richards AL, Heller G, Mansilla-Soto J, Sadelain M, Klebanoff CA, Hellmann MD, Sen T, de Stanchina E, Wolchok JD, Merghoub T, and Rudin CM
- Subjects
- Humans, Immune Checkpoint Inhibitors therapeutic use, CD8-Positive T-Lymphocytes, Immunotherapy, Lung Neoplasms genetics, Carcinoma, Non-Small-Cell Lung genetics
- Abstract
Improved identification of anti-tumor T cells is needed to advance cancer immunotherapies. CD39 expression is a promising surrogate of tumor-reactive CD8
+ T cells. Here, we comprehensively profiled CD39 expression in human lung cancer. CD39 expression enriched for CD8+ T cells with features of exhaustion, tumor reactivity, and clonal expansion. Flow cytometry of 440 lung cancer biospecimens revealed weak association between CD39+ CD8+ T cells and tumoral features, such as programmed death-ligand 1 (PD-L1), tumor mutation burden, and driver mutations. Immune checkpoint blockade (ICB), but not cytotoxic chemotherapy, increased intratumoral CD39+ CD8+ T cells. Higher baseline frequency of CD39+ CD8+ T cells conferred improved clinical outcomes from ICB therapy. Furthermore, a gene signature of CD39+ CD8+ T cells predicted benefit from ICB, but not chemotherapy, in a phase III clinical trial of non-small cell lung cancer. These findings highlight CD39 as a proxy of tumor-reactive CD8+ T cells in human lung cancer., Competing Interests: Declaration of interests C.A.K. received research funding support from Kite/Gilead and Intima Bioscience; is on the Scientific and/or Clinical Advisory Boards of Achilles Therapeutics, Aleta BioTherapeutics, Bellicum Pharmaceuticals, Catamaran Bio, Obsidian Therapeutics, and T-knife; and has performed consulting services for Bristol Myers Squibb, PACT Pharma, and Roche/Genentech. C.A.K. is a co-inventor on patent applications related to TCRs targeting public neoantigens unrelated to the current work. M.D.H. received a research grant from BMS; personal fees from Achilles, Arcus, AstraZeneca, Blueprint, BMS, Genentech/Roche, Genzyme, Immunai, Instil Bio, Janssen, Merck, Mirati, Natera, Nektar, Pact Pharma, Regeneron, Shattuck Labs, and Syndax; and equity options from Arcus, Factorial, Immunai, and Shattuck Labs. A patent filed by MSKCC related to the use of tumor mutational burden to predict response to immunotherapy (PCT/US2015/062208) is pending and licensed by PGDx. J.D.W. is a consultant for Amgen, Apricity, Ascentage Pharma, Astellas, AstraZeneca, Bicara Therapeutics, Boehringer Ingelheim, Bristol Myers Squibb, CellCarta, Chugai, Daiichi Sankyo, Dragonfly, Georgiamune, Idera, Imvaq, Larkspur, Maverick Therapeutics, Merck, Psioxus, Recepta, Tizona, Trishula, Sellas, Surface Oncology, and Werewolf Therapeutics. J.D.W. receives grant/research support from Bristol Myers Squibb and Sephora. J.D.W. has equity in Apricity, Arsenal IO, Ascentage, Beigene, Imvaq, Linneaus, Georgiamune, Maverick, Tizona Pharmaceuticals, and Trieza. J.D.W. is a co-inventor on the following patent application: xenogeneic (canine) DNA vaccines, myeloid-derived suppressor cell (MDSC) assay, anti-PD1 antibody, anti-CTLA4 antibodies, anti-GITR antibodies and methods of use thereof, Newcastle disease viruses for cancer therapy, and prediction of responsiveness to treatment with immunomodulatory therapeutics and method of monitoring abscopal effects during such treatment. J.D.W. and T.M. are co-inventors on patent applications related to CD40 and in situ vaccination (PCT/US2016/045970). T.M. is a consultant for Immunos Therapeutics and Pfizer. T.M. is a cofounder of and equity holder in IMVAQ Therapeutics. T.M. receives research funding from Bristol Myers Squibb, Surface Oncology, Kyn Therapeutics, Infinity Pharmaceuticals, Peregrine Pharmaceuticals, Adaptive Biotechnologies, Leap Therapeutics, and Aprea Therapeutics. T.M. is an inventor on patent applications related to work on oncolytic viral therapy, alpha virus-based vaccine, neoantigen modeling, CD40, GITR, OX40, PD-1, and CTLA-4. C.M.R. has consulted regarding oncology drug development with AbbVie, Amgen, Ascentage, AstraZeneca, BMS, Celgene, Daiichi Sankyo, Genentech/Roche, Ipsen, Loxo, and PharmaMar and is on the scientific advisory boards of Elucida, Bridge, and Harpoon. B.Y.N. and X.G. are employees and stockholders of Genentech/Roche., (Copyright © 2022 Elsevier Inc. All rights reserved.)- Published
- 2023
- Full Text
- View/download PDF
39. Scale matters: the spatial correlation of yeast meiotic DNA breaks with histone H3 trimethylation is driven largely by independent colocalization at promoters.
- Author
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Tischfield SE and Keeney S
- Subjects
- Chromatin chemistry, Chromatin metabolism, Chromosomes, Fungal metabolism, DNA Breaks, Double-Stranded, Endodeoxyribonucleases metabolism, Histone-Lysine N-Methyltransferase metabolism, Histones metabolism, Methylation, Recombination, Genetic, Saccharomyces cerevisiae Proteins genetics, Saccharomyces cerevisiae Proteins metabolism, Histones genetics, Meiosis, Promoter Regions, Genetic, Saccharomyces cerevisiae metabolism
- Abstract
During meiosis in many organisms, homologous chromosomes engage in numerous recombination events initiated by DNA double-strand breaks (DSBs) formed by the Spo11 protein. DSBs are distributed nonrandomly, which governs how recombination influences inheritance and genome evolution. The chromosomal features that shape DSB distribution are not well understood. In the budding yeast Saccharomyces cerevisiae, trimethylation of lysine 4 of histone H3 (H3K4me3) has been suggested to play a causal role in targeting Spo11 activity to small regions of preferred DSB formation called hotspots. The link between H3K4me3 and DSBs is supported in part by a genome-wide spatial correlation between the two. However, this correlation has only been evaluated using relatively low-resolution maps of DSBs, H3K4me3 or both. These maps illuminate chromosomal features that influence DSB distributions on a large scale (several kb and greater) but do not adequately resolve features, such as chromatin structure, that act on finer scales (kb and shorter). Using recent nucleotide-resolution maps of DSBs and meiotic chromatin structure, we find that the previously described spatial correlation between H3K4me3 and DSB hotspots is principally attributable to coincident localization of both to gene promoters. Once proximity to the nucleosome-depleted regions in promoters is accounted for, H3K4me3 status has only modest predictive power for determining DSB frequency or location. This analysis provides a cautionary tale about the importance of scale in genome-wide analyses of DSB and recombination patterns.
- Published
- 2012
- Full Text
- View/download PDF
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