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008			220328s2022 xxua o |||| 0|eng d
020			_a9781071622773
024	7		_a10.1007/978-1-0716-2277-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP551 _b2022 EB
245	0	0	_aTGF-Beta Signaling : _bMethods and Protocols _cedited by Zhike Zi, Xuedong Liu
250			_a1st edition 2022
264		1	_aNew York, NY _bSpringer International Publising _c2022
300			_a1 recurso en línea (X, 239 páginas) _b49 ilustraciones, 45 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v2488
505	0		_aAbsolute 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.
520			_aThis detailed volume is devoted to the recent development of quantitative experiments and computational methods driving new transforming growth factor beta (TGF-β) and other cell signaling knowledge. Many chapters cover quantitative assays for TGF-β 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-β field into the quantitative realm.
988			_aSpringer_Protocols_2022
650		7	_2embne _9139861 _aProteínas
650		7	_2embne _9162841 _aInmunidad celular
776	0	8	_iPrinted edition: _z9781071622766
776	0	8	_iPrinted edition: _z9781071622780
776	0	8	_iPrinted edition: _z9781071622797
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-2277-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2023 _dz _eb _zSI