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https://doi.org/10.1186/s13059-021-02266-6
Title: | CRISPRi enables isoform-specific loss-of-function screens and identification of gastric cancer-specific isoform dependencies | Authors: | Davies, Rebecca Liu, Ling Taotao, Sheng Tuano, Natasha Chaturvedi, Richa Huang, Kie Kyon Itman, Catherine Mandoli, Amit Qamra, Aditi Hu, Changyuan Powell, David Daly, Roger J. Tan, Patrick Rosenbluh, Joseph |
Issue Date: | 26-Jan-2021 | Publisher: | BioMed Central Ltd | Citation: | Davies, Rebecca, Liu, Ling, Taotao, Sheng, Tuano, Natasha, Chaturvedi, Richa, Huang, Kie Kyon, Itman, Catherine, Mandoli, Amit, Qamra, Aditi, Hu, Changyuan, Powell, David, Daly, Roger J., Tan, Patrick, Rosenbluh, Joseph (2021-01-26). CRISPRi enables isoform-specific loss-of-function screens and identification of gastric cancer-specific isoform dependencies. Genome Biology 22 (1) : 47. ScholarBank@NUS Repository. https://doi.org/10.1186/s13059-021-02266-6 | Rights: | Attribution 4.0 International | Abstract: | Introduction: Genes contain multiple promoters that can drive the expression of various transcript isoforms. Although transcript isoforms from the same gene could have diverse and non-overlapping functions, current loss-of-function methodologies are not able to differentiate between isoform-specific phenotypes. Results: Here, we show that CRISPR interference (CRISPRi) can be adopted for targeting specific promoters within a gene, enabling isoform-specific loss-of-function genetic screens. We use this strategy to test functional dependencies of 820 transcript isoforms that are gained in gastric cancer (GC). We identify a subset of GC-gained transcript isoform dependencies, and of these, we validate CIT kinase as a novel GC dependency. We further show that some genes express isoforms with opposite functions. Specifically, we find that the tumour suppressor ZFHX3 expresses an isoform that has a paradoxical oncogenic role that correlates with poor patient outcome. Conclusions: Our work finds isoform-specific phenotypes that would not be identified using current loss-of-function approaches that are not designed to target specific transcript isoforms. © 2021, The Author(s). | Source Title: | Genome Biology | URI: | https://scholarbank.nus.edu.sg/handle/10635/232770 | ISSN: | 1474-7596 | DOI: | 10.1186/s13059-021-02266-6 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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