A Classical Epithelial State Drives Acute Resistance to KRAS Inhibition in Pancreatic Cancer.

Autor: Singhal A; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.; David M. Rubenstein Center for Pancreatic Cancer, Memorial Sloan Kettering Cancer Center, New York, New York.; Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Styers HC; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York., Rub J; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York., Li Z; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.; Weill Cornell Graduate School of Medical Science, Weill Cornell Medicine, New York, New York., Torborg SR; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.; Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, New York., Kim JY; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York., Grbovic-Huezo O; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York., Feng H; Institute for Cancer Genetics, Department of Genetics and Development and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York., Tarcan ZC; David M. Rubenstein Center for Pancreatic Cancer, Memorial Sloan Kettering Cancer Center, New York, New York.; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York., Sahin Ozkan H; David M. Rubenstein Center for Pancreatic Cancer, Memorial Sloan Kettering Cancer Center, New York, New York.; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York., Hallin J; Mirati Therapeutics, San Diego, California., Basturk O; David M. Rubenstein Center for Pancreatic Cancer, Memorial Sloan Kettering Cancer Center, New York, New York.; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York., Yaeger R; Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Christensen JG; Mirati Therapeutics, San Diego, California., Betel D; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York.; Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York., Yan Y; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York., Chio IIC; Institute for Cancer Genetics, Department of Genetics and Development and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York., de Stanchina E; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.; Antitumor Assessment Core Facility, Molecular Pharmacology Program, MSKCC, New York, New York., Tammela T; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.; David M. Rubenstein Center for Pancreatic Cancer, Memorial Sloan Kettering Cancer Center, New York, New York.

Publikováno v: Cancer discovery [Cancer Discov] 2024 Nov 01; Vol. 14 (11), pp. 2122-2134.

The therapeutic landscape for cells engineered with chimeric antigen receptors.

Autor: MacKay M; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.; Tri-Institutional Computational Biology and Medicine Program, Weill Cornell Medicine of Cornell University, New York, NY, USA., Afshinnekoo E; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA., Rub J; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA., Hassan C; Yale University, New Haven, CT, USA., Khunte M; Yale University, New Haven, CT, USA., Baskaran N; Yale University, New Haven, CT, USA., Owens B; Yale University, New Haven, CT, USA., Liu L; Yale University, New Haven, CT, USA., Roboz GJ; Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Guzman ML; Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Melnick AM; Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Wu S; National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Shenzhen, China. wushixiu@zju.edu.cn.; Chinese Academy of Medical Science, Peking Union Medical College, Shenzhen, China. wushixiu@zju.edu.cn., Mason CE; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. chm2042@med.cornell.edu.; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA. chm2042@med.cornell.edu.; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA. chm2042@med.cornell.edu.; The Feil Family Brain and Mind Research Institute, New York, NY, USA. chm2042@med.cornell.edu.

Publikováno v: Nature biotechnology [Nat Biotechnol] 2020 Feb; Vol. 38 (2), pp. 233-244. Date of Electronic Publication: 2020 Jan 06.

Nonresonant contributions to energy transfer through micron-size gaps between neighboring nanostructures

Autor: Lapas, Luciano C., P��rez-Madrid, Agust��n, Rub��, J. Miguel

Current theoretical approaches to the analysis of radiative heat exchange at the nanoscale are based on Rytov's stochastic electrodynamics. However, this approach falls short in the description of microscale energy transfer since it overlooks non-res

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eed9333ff5b4d8d4c9d12a47982a20eb
http://arxiv.org/abs/1106.4259

New insights into the stemness of adoptively transferred T cells by γc family cytokines.

Autor: Luo, Mengshi^1,2 (AUTHOR), Gong, Wenjian^1,2 (AUTHOR), Zhang, Yuewen^1,2 (AUTHOR), Li, Huayi^1,2 (AUTHOR), Ma, Ding^1,2 (AUTHOR), Wu, Kongming³ (AUTHOR), Gao, Qinglei^1,2 (AUTHOR) qingleigao@hotmail.com, Fang, Yong^1,2 (AUTHOR) tongjify@163.com

Publikováno v: Cell Communication & Signaling. 12/4/2023, Vol. 21 Issue 1, p1-23. 23p.

Analysis of backward whirl characteristics of rubbing dual-rotor systems.

Autor: Kang, Yanhong^1,2,3 (AUTHOR), Cao, Shuqian^1,2,3 (AUTHOR) sqcao@tju.edu.cn, Hou, Yuanhang^1,2,3 (AUTHOR), You, Zhenzhen^1,2,3 (AUTHOR), Ma, Qiang⁴ (AUTHOR)

Publikováno v: Acta Mechanica. Nov2023, Vol. 234 Issue 11, p5269-5299. 31p.