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008			210929s2021 xxu| s |||| 0|eng d
020			_a9781071617403
024	7		_a10.1007/978-1-0716-1740-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aMapping Genetic Interactions _cedited by Franco Joseph Vizeacoumar, Andrew Freywald.
250			_a1st edition 2021
264		1	_aNew York, NY _bSpringer International Publising _c2021
300			_a1 recurso en línea (XV, 361 páginas) _b54 ilustraciones
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 _v2381
505	0		_aQuantitative Genetic Screens for Mapping Bacterial Pathways and Functional Networks -- Mapping Synthetic Dosage Lethal Genetic Interactions in Saccharomyces cerevisiae -- Systematic High-Content Screening of Fluorescently-Tagged Yeast Double Mutant Strains -- A Genetic Interaction Screening Approach in C. elegans -- RNA Interference (RNAi) Screening in Cultured Drosophila Cells -- Employing Cross-Species Approaches to Construct Humanized Genetic Interaction Networks -- Identification of Synthetic Lethal Interactions Using High-Throughput, Arrayed CRISPR/Cas9-based Platforms -- Exploring Candidate Human Synthetic Lethal Interactions Through siRNA and Quantitative Imaging-Based Approaches -- Mapping Genetic Interactions in Human Cancer Cells Using a One-Step tRNA-CRISPR System -- In vivo Genome-Wide Pooled RNAi Screens in Cancer Cells to Identify Determinants of Chemotherapy/Drug Response -- INCISOR: An Algorithm to Identify Synthetic Rescue Mediators of Resistance to Targeted and Immunotherapy -- Machine Learning to Identify Gene Interactions from High-Throughput Mutant Crosses -- Identification of Drug Resistance Genes Using a Pooled Lentiviral CRISPR/Cas9 Screening Approach -- Chemical Genetic Interactions as a Means to Characterize Drug Synergy -- Puromycin Labeling Coupled with Proximity Ligation Assays to Define Sites of mRNA Translation in Drosophila Embryos and Human Cells -- Inferring Copy Number from Triple Negative Breast Cancer Patient Derived Xenograft scRNAseq Data using scCNAutils -- Generation of Protein Inhibitors for Validation of Cancer Drug Targets Identified in Functional Genomic Screens -- Computational Prediction of Chemical Tools for Identification and Validation of Synthetic Lethal Interaction Networks.
520			_aThis volume details methods of identifying synthetic lethal, genetic interactions by various approaches in different model systems including human cancer cells. Chapters guide readers through genetic interactions in model organisms, RNA interference, CRISPR/Cas9 based genome editing technologies, drug-gene interactions, mapping chemical genetic interactions, synergistic drug-gene relations, single cell sequencing, gene expression profiling, and novel genetic interactions. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Genetic Interaction Mapping aims to be a useful practical guide to researches to help further their study in this field.
700	1		_aVizeacoumar, Franco Joseph _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFreywald, Andrew _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781071617397
776	0	8	_iPrinted edition: _z9781071617410
776	0	8	_iPrinted edition: _z9781071617427
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-1740-3 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2021
999			_c233521 _d233521