Titlebook: Mapping Genetic Interactions; Franco Joseph Vizeacoumar,Andrew Freywald Book 2021 The Editor(s) (if applicable) and The Author(s), under e

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Systematic High-Content Screening of Fluorescently Tagged Yeast Double Mutant StrainsThis approach can be used to map genetic interactions by monitoring one or more subcellular fluorescent markers of interest. In this case, changes in the morphology or abundance of a subcellular compartment, pathway or bioprocess are monitored in the background of a systematic array of yeast double

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RNA Interference (RNAi) Screening in Cultured , Cellsmediated depletion of gene products represents a powerful means of elucidating gene function, as it allows one to systematically probe the phenotypic effects resulting from the functional loss of specific targets. The relative ease of use of RNAi technologies in cultured cells has allowed the design

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Identification of Synthetic Lethal Interactions Using High-Throughput, Arrayed CRISPR/Cas9-Based Plaof the best strategies to selectively eliminate cancer cells. Some of the most successful approaches to identify synthetic lethal interactions (SLIs) were largely dependent on pooled screening formats that require heavy validation in order to mitigate false positives. Here, we describe a high-throug

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Exploring Candidate Human Synthetic Lethal Interactions Through siRNA and Quantitative Imaging-Basedtargets for the development of innovative cancer therapeutic strategies. Despite recent technological advancements including CRISPR/Cas9 approaches, the systematic assessment of all pairwise gene interactions in humans (~ 200 million pairs) remains an unmet goal. Thus, hypothesis-driven approaches,

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Mapping Genetic Interactions in Human Cancer Cells Using a One-Step tRNA-CRISPR Systemped a new one-step tRNA-CRISPR method called TCGI (tRNA-CRISPR for genetic interactions) which generates high-efficiency, barcode-free, and scalable pairwise CRISPR libraries to identify genetic interactions in mammalian cells. Here we describe this method in detail regarding the construction of the

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In Vivo Genome-Wide Pooled RNAi Screens in Cancer Cells to Identify Determinants of Chemotherapy/Druo the nature of the selection process involved in screens, RNAi screens are also very useful for identifying genes involved in drug responses. The information gained from these screens could be used to predict a cancer patient’s response to a specific drug (i.e., precision medicine) or identify anti

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