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E-raamat: TGF-Beta Signaling: Methods and Protocols

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  • Formaat: PDF+DRM
  • Sari: Methods in Molecular Biology 2488
  • Ilmumisaeg: 28-Mar-2022
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781071622773
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  • Formaat: PDF+DRM
  • Sari: Methods in Molecular Biology 2488
  • Ilmumisaeg: 28-Mar-2022
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781071622773

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This detailed volume is devoted to the recent development of quantitative experiments and computational methods driving new transforming growth factor beta (TGF-) and other cell signaling knowledge. Many chapters cover quantitative assays for TGF- signaling studies, with others exploring the increasing role of both modeling and computational methods. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.  Authoritative and up-to-date, TGF-Beta Signaling: Methods and Protocols serves as a vital resource for researchers seeking to move the TGF- field into the quantitative realm.
Absolute Quantification of TGF- Signaling Proteins Using Quantitative
Western Blot.- Fast Quantitation of TGF- 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--Induced Epithelial to Mesenchymal Transition.-
Establishment of Embryonic Zebrafish Xenograft Assays to Investigate TGF-
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- Pathway Regulators.- Optogenetic Control of TGF- Signaling.-
Using Microfluidics and Live Cell Reporters to Dissect the Dynamics of TGF-
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.