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001			233831
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007			cr nn 008mamaa
008			171029s2018 xxu| s |||| 0|eng d
020			_a9781493973576
024	7		_a10.1007/978-1-4939-7357-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aHigh Content Screening _bA Powerful Approach to Systems Cell Biology and Phenotypic Drug Discovery _cedited by Paul A. Johnston, Oscar J. Trask.
250			_a2nd edition 2018
264		1	_aNew York, NY _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIII, 397 páginas) _b82 ilustraciones, 71 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 _v1683
505	0		_aApplications and Caveats on the Utilization of DNA-specific Probes in Cell-based Assays -- General Staining and Segmentation Procedures for High Content Imaging and Analysis -- Tools to Measure Cell Health and Cytotoxicity Using High Content Imaging and Analysis -- Cell-based High Content Analysis of Cell Proliferation and Apoptosis -- Tools to Measure Autophagy using High Content Imaging and Analysis -- Guidelines for Microplate Selection in High Content Imaging -- Quality Control for High-Throughput Imaging Experiments using Machine Learning in CellProfiler -- High Content Screening Approaches That Minimize Confounding Factors in RNAi, CRISPR and Small Molecule Screening -- Strategies and solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays -- Live-Cell High Content Screening in Drug Development -- Challenges and Opportunities in Enabling High-Throughput, Miniaturized High-Content Screening -- Translocation Biosensors - Versatile Tools to Probe Protein Functions In Living Cells -- High Content Positional Biosensor Assay to Screen for Compounds that Prevent or Disrupt Androgen Receptor and Transcription Intermediary Factor 2 Protein-Protein Interactions -- High Content Imaging Assays for IL-6-induced STAT3 Pathway Activation in Head and Neck Cancer Cell Lines -- Single Cell and Population Level Analysis of HCA Data -- Utilization of Multidimensional Data in the Analysis of Ultra High Throughput High Content Phenotypic Screens -- High Content Screening of Mammalian Primary Cortical Neurons -- Human Derived Neurons and Neural Progenitor Cells in High Content Imaging Applications -- Determination of Hepatotoxicity in iPSC-Derived Hepatocytes by Multiplexed High-Content Assays -- The Generation of Three-Dimensional Head and Neck Cancer Models for Drug Discovery in 384-well Ultra-Low Attachment Microplates -- An Endothelial Cell/Mesenchymal Stem Cell Co-Culture Cord Formation Assay to Model Vascular Biology In Vitro -- High-throughput Automated Chemical Screens in Zebrafish.
520			_aThis second edition details some of the recent trends in HCS/HCA/HCI.  New and updated chapters guide readers through methods that utilize reagents and kits that have been developed to measure cells and subpopulation classifications, control measures, overviews of the data handling issues associated with HCS/HCA/HCI, and methods to implement more complex phenotypic models.  Written in the highly successful Methods in Molecular Biology series format, 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 practical, High Content Screening and Analysis-The Ideal Format for Phenotypic Screening: A Powerful Approach to Systems Cell Biology and Drug Discovery, Second Edition aims to ensure successful results in the further study of this vital field.
700	1		_aJohnston, Paul A _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTrask, Oscar J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493973552
776	0	8	_iPrinted edition: _z9781493973569
776	0	8	_iPrinted edition: _z9781493984619
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-7357-6 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2018
999			_c233831 _d233831