Article

Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines

2020-12-16

Abstract excerpt

Pairs of paralogs may share common functionality and hence display synthetic lethal interactions. As the majority of human genes have an identifiable paralog, exploiting synthetic lethality between paralogs may be a broadly applicable approach for targeting gene loss in cancer. However only a biased subset of human paralog pairs has been tested for synthetic lethality to date. Here, by analysing genome-wide CRISPR...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a57ae1f3-6b8a-5968-b3a2-c2848ed3ecfc
DOI: 10.1101/2020.12.16.423022

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell linesDOI 10.1101/2020.12.16.423022Read

Genetic Mapping of All Human Paralog Pairs to Characterize Synthetic Lethality and BufferingSemantic proximity Read

Targeting synthetic lethal paralogs in cancer.Semantic proximity Read

Discovery of synthetic lethal and tumor suppressive paralog pairs in the human genomeSemantic proximity Read

Sensitive detection of synthetic response to cancer immunotherapy driven by gene paralog pairsSemantic proximity Read

Efficient gene knockout and genetic interactions: the IN4MER CRISPR/Cas12a multiplex knockout platformSemantic proximity Read

Coessentiality and cofunctionality: a network approach to learning genetic vulnerabilities from cancer cell line fitness screensSemantic proximity Read

Genetic screens in isogenic mammalian cell lines without single cell cloningSemantic proximity Read

Beyond synthetic lethality: charting the landscape of clinically relevant genetic interactions in cancerSemantic proximity Read

CRISPR Double Knockout Library Reveals Synthetic Lethal Gene Pairs in Triple-Negative Breast CancerSemantic proximity Read

Using graph-based model to identify cell specific synthetic lethal effectsSemantic proximity Read

Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer.Semantic proximity Read

SLAYER: A Computational Framework for Identifying Synthetic Lethal Interactions through Integrated Analysis of Cancer DependenciesSemantic proximity Read