Mapping genetic interactions

by Freywald, Andrew Vizeacoumar, Franco

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Title Statements

Full title :Mapping genetic interactions / edited by Franco Joseph Vizeacoumar and Andrew Freywald.

Summary

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.

Edition Statements

Publication Date:2021

Publication Statements

Publisher(s):Humana Press
Place of Publication:New York, NY
Language:eng
Publication Date:2021

The Physical Object

Description:1 online resource (1 PDF file (xv, 361 pages)) : : illustrations.

Edition Identifiers

ISBN:9781071617403, 1071617400
DOI:10.1007/978-1-0716-1740-3
oclc:on1273413692
LC Classification:QH445.2
Dewey Decimal:572.8/633

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 -- Ch…

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