作者
Matteo Ligorio, Srinjoy Sil, Jose Malagon-Lopez, Linda T Nieman, Sandra Misale, Mauro Di Pilato, Richard Y Ebright, Murat N Karabacak, Anupriya S Kulkarni, Ann Liu, Nicole Vincent Jordan, Joseph W Franses, Julia Philipp, Johannes Kreuzer, Niyati Desai, Kshitij S Arora, Mihir Rajurkar, Elad Horwitz, Azfar Neyaz, Eric Tai, Neelima KC Magnus, Kevin D Vo, Chittampalli N Yashaswini, Francesco Marangoni, Myriam Boukhali, Jackson P Fatherree, Leah J Damon, Kristina Xega, Rushil Desai, Melissa Choz, Francesca Bersani, Adam Langenbucher, Vishal Thapar, Robert Morris, Ulrich F Wellner, Oliver Schilling, Michael S Lawrence, Andrew S Liss, Miguel N Rivera, Vikram Deshpande, Cyril H Benes, Shyamala Maheswaran, Daniel A Haber, Carlos Fernandez-Del-Castillo, Cristina R Ferrone, Wilhelm Haas, Martin J Aryee, David T Ting
发表日期
2019/6/27
期刊
Cell
卷号
178
期号
1
页码范围
160-175. e27
出版商
Elsevier
简介
Single-cell technologies have described heterogeneity across tissues, but the spatial distribution and forces that drive single-cell phenotypes have not been well defined. Combining single-cell RNA and protein analytics in studying the role of stromal cancer-associated fibroblasts (CAFs) in modulating heterogeneity in pancreatic cancer (pancreatic ductal adenocarcinoma [PDAC]) model systems, we have identified significant single-cell population shifts toward invasive epithelial-to-mesenchymal transition (EMT) and proliferative (PRO) phenotypes linked with mitogen-activated protein kinase (MAPK) and signal transducer and activator of transcription 3 (STAT3) signaling. Using high-content digital imaging of RNA in situ hybridization in 195 PDAC tumors, we quantified these EMT and PRO subpopulations in 319,626 individual cancer cells that can be classified within the context of distinct tumor gland "units." Tumor …
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M Ligorio, S Sil, J Malagon-Lopez, LT Nieman… - Cell, 2019