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Mapping Genetic Interactions / edited by Franco Joseph Vizeacoumar, Andrew Freywald.

SpringerProtocols (1984- current) Available online

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Format:
Book
Contributor:
Vizeacoumar, Franco Joseph., Editor.
Freywald, Andrew, Editor.
SpringerLink (Online service)
Series:
Springer Protocols (Springer-12345)
Methods in molecular biology 1940-6029 ; 2381
Methods in Molecular Biology, 1940-6029 ; 2381
Language:
English
Subjects (All):
Genetics.
Genetics and Genomics.
Local Subjects:
Genetics and Genomics.
Physical Description:
1 online resource (XV, 361 pages) : 54 illustrations
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
New York, NY : Springer US : Imprint: Humana, 2021.
System Details:
text file PDF
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.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-1-0716-1740-3
9781071617403
Access Restriction:
Restricted for use by site license.

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