Vizeacoumar / Freywald Mapping Genetic Interactions

Erscheinungsjahr 2021
ISBN: 978-1-0716-1740-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2381, 361 Seiten, eBook

Reihe: Methods in Molecular Biology

This 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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Vizeacoumar, Franco Joseph

Freywald, Andrew

Inhaltsverzeichnis

Quantitative 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.