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Map** Genetic Interactions

  • Book
  • © 2021

Overview

Editors:
  1. Franco Joseph Vizeacoumar

    1. University of Saskatchewan, Saskatoon, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Andrew Freywald

    1. University of Saskatchewan, Saskatoon, Canada

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    You can also search for this editor in PubMed   Google Scholar

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible result
  • Contains key notes and implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 2381)

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About this book

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, map** 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 Map** aims to be a useful practical guide to researches to help further their study in this field.


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Table of contents (18 protocols)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Map** Genetic Interactions in Model Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Quantitative Genetic Screens for Map** Bacterial Pathways and Functional Networks

      • Alla Gagarinova, Ali Hosseinnia, Mohan Babu
      Pages 3-37

    3. Map** Synthetic Dosage Lethal Genetic Interactions in Saccharomyces cerevisiae

      • Akil Hamza, Leanne Amitzi, Supipi Duffy, Philip Hieter
      Pages 39-56

    4. Systematic High-Content Screening of Fluorescently Tagged Yeast Double Mutant Strains

      • Harsha Garadi Suresh, Mojca Mattiazzi Usaj
      Pages 57-78

    5. A Genetic Interaction Screening Approach in C. elegans

      • John A. Calarco
      Pages 79-95

    6. RNA Interference (RNAi) Screening in Cultured Drosophila Cells

      • Juan-Carlos A. Padilla, Ashley Chin, Dhara Patel, **aofeng Wang, Philippe Jolivet, Eric Lécuyer
      Pages 97-112

  3. Approaches to Map Genetic Interactions in Human Cells

    1. Front Matter

      Pages 113-113
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    2. Employing Cross-Species Approaches to Construct Humanized Genetic Interaction Networks

      • Lucile M. Jeusset, Kirk J. McManus
      Pages 115-133

    3. Identification of Synthetic Lethal Interactions Using High-Throughput, Arrayed CRISPR/Cas9-Based Platforms

      • MacKenzie J. MacAuley, Omar Abuhussein, Frederick S. Vizeacoumar
      Pages 135-149

    4. Exploring Candidate Human Synthetic Lethal Interactions Through siRNA and Quantitative Imaging-Based Approaches

      • Lucile M. Jeusset, Kirk J. McManus
      Pages 151-173

    5. Map** Genetic Interactions in Human Cancer Cells Using a One-Step tRNA-CRISPR System

      • Derek Yisen Zhang, **ong Gui, **aolong Yang
      Pages 175-187

    6. In Vivo Genome-Wide Pooled RNAi Screens in Cancer Cells to Identify Determinants of Chemotherapy/Drug Response

      • Margaret L. Dahn, Paola Marcato
      Pages 189-200

  4. Predicting Genetic Interactions Using Computational Approaches

    1. Front Matter

      Pages 201-201
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    2. INCISOR: An Algorithm to Identify Synthetic Rescue Mediators of Resistance to Targeted and Immunotherapy

      • **aoman Wang, Frederick Sagayaraj Vizeacoumar, Avinash Das Sahu
      Pages 203-215

    3. Machine Learning to Identify Gene Interactions from High-Throughput Mutant Crosses

      • Ashwani Kumar, Andrew D. S. Cameron, Sandra Zilles
      Pages 217-223

  5. Map** Chemical Genetic Interactions

    1. Front Matter

      Pages 225-225
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    2. Identification of Drug Resistance Genes Using a Pooled Lentiviral CRISPR/Cas9 Screening Approach

      • Evan M. Kerek, Christopher R. Cromwell, Basil P. Hubbard
      Pages 227-242

    3. Chemical–Genetic Interactions as a Means to Characterize Drug Synergy

      • Hamid Gaikani, Guri Giaever, Corey Nislow
      Pages 243-263

  6. Emerging Technologies That Leverage Map** Genetic Interactions

    1. Front Matter

      Pages 265-265
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Editors and Affiliations

  • University of Saskatchewan, Saskatoon, Canada

    Franco Joseph Vizeacoumar, Andrew Freywald

Bibliographic Information

  • Book Title: Map** Genetic Interactions

  • Editors: Franco Joseph Vizeacoumar, Andrew Freywald

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-0716-1740-3

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2021

  • Hardcover ISBN: 978-1-0716-1739-7Published: 30 September 2021

  • Softcover ISBN: 978-1-0716-1742-7Published: 01 October 2022

  • eBook ISBN: 978-1-0716-1740-3Published: 29 September 2021

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XV, 361

  • Number of Illustrations: 54 b/w illustrations

  • Topics: Genetics and Genomics

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