1. Absolute Quantification of TGF-β Signaling Proteins Using Quantitative Western Blot
Difan Deng and Zhike Zi
2. Fast Quantitation of TGF-β Signaling Using Adenoviral Reporter
Adilson Fonseca Teixeira, Josie Iaria, and Hong-Jian Zhu
3. Complex Formation among TGF-b Receptors in Live Cell Membranes Measured by Patch-FRAP
Szabina Sz鏹ia Szil墔yi, Orit Gutman, and Yoav I. Henis
4. Branched Proximity Hybridization Assay for the Quantification of Nanoscale Protein-Protein Proximity
Jianying Yang
5. Visualizing Dynamic Changes during TGF-β-Induced Epithelial to Mesenchymal Transition
Abhishek Sinha, Pranav Mehta, Chuannan Fan, Jing Zhang, Dieuwke L. Marvin, Maarten van Dinther, Laila Ritsma, Pouyan E. Boukany, and Peter ten Dijke
6. Establishment of Embryonic Zebrafish Xenograft Assays to Investigate TGF-β Family Signaling in Human Breast Cancer Progression
Chao Li, Jin Ma, Arwin Groenewoud, Jiang Ren, Sijia Liu, B. Ewa Snaar-Jagalska, and Peter ten Dijke
7. Generating Somatic Knockout Cell Lines with CRISPR-Cas9 Technology to Investigate SMAD Signaling
Zixin Huang and Alexander Loewer
8. CRISPR-Based Screening in Three-Dimensional Organoid Cultures to Identify TGF-β Pathway Regulators
Nina Frey and Gerald Schwank
9. Optogenetic Control of TGF-β Signaling
Yuchao Li and Zhike Zi
10. Using Microfluidics and Live Cell Reporters to Dissect the Dynamics of TGF-β Signaling in Mouse Embryonic Stem Cells
Fabien Furfaro, Carine Vias, and Benoit Sorre
11. Energy Landscape Analysis of the Epithelial-Mesenchymal Transition Network
Leijun Ye and Chunhe Li
12. Discrete Logic Modeling of Cell Signaling Pathways
Nensi Ikonomi, Silke D. Werle, Julian D. Schwab, and Hans A. Kestler
13. Mining of Single-Cell Signaling Time-Series for Dynamic Phenotypes with Clustering
Maciej Dobrzyński, Marc-Antoine Jacques, and Olivier Pertz
14. Automated Classification of Cellular Phenotypes Using Machine Learning in Cellprofiler and CellProfiler Analyst
Marja Kornhuber and Sebastian Dunst
15. Live Cell Imaging of Spatiotemporal Ca2+ Fluctuation Responses to Anticancer Drugs
Zeyu Liu, Adrian Ramirez, and Xuedong Liu
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