TGF-Beta Signaling Methods and Protocols /
| مؤلف مشترك: | |
|---|---|
| مؤلفون آخرون: | , |
| الملخص: | X, 239 p. 49 illus., 45 illus. in color. text |
| اللغة: | الإنجليزية |
| منشور في: |
New York, NY :
Springer US : Imprint: Humana,
2022.
|
| الطبعة: | 1st ed. 2022. |
| سلاسل: | Methods in Molecular Biology,
2488 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/978-1-0716-2277-3 |
| التنسيق: | الكتروني كتاب |
جدول المحتويات:
- Absolute Quantification of TGF-β Signaling Proteins Using Quantitative Western Blot
- Fast Quantitation of TGF-β Signaling Using Adenoviral Reporter
- Complex Formation among TGF-b Receptors in Live Cell Membranes Measured by Patch-FRAP
- Branched Proximity Hybridization Assay for the Quantification of Nanoscale Protein-Protein Proximity
- Visualizing Dynamic Changes during TGF-β-Induced Epithelial to Mesenchymal Transition
- Establishment of Embryonic Zebrafish Xenograft Assays to Investigate TGF-β Family Signaling in Human Breast Cancer Progression
- Generating Somatic Knockout Cell Lines with CRISPR-Cas9 Technology to Investigate SMAD Signaling
- CRISPR-Based Screening in Three-Dimensional Organoid Cultures to Identify TGF-β Pathway Regulators
- Optogenetic Control of TGF-β Signaling
- Using Microfluidics and Live Cell Reporters to Dissect the Dynamics of TGF-β Signaling in Mouse Embryonic Stem Cells
- Energy Landscape Analysis of the Epithelial-Mesenchymal Transition Network
- Discrete Logic Modeling of Cell Signaling Pathways
- Mining of Single-Cell Signaling Time-Series for Dynamic Phenotypes with Clustering
- Automated Classification of Cellular Phenotypes Using Machine Learning in Cellprofiler and CellProfiler Analyst
- Live Cell Imaging of Spatiotemporal Ca2+ Fluctuation Responses to Anticancer Drugs.