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https://doi.org/10.1038/s42003-020-01136-4
Title: | Single-cell analysis of EphA clustering phenotypes to probe cancer cell heterogeneity | Authors: | Ravasio, Andrea Myaing, Myint Z Chia, Shumei Arora, Aditya Sathe, Aneesh Cao, Elaine Yiqun Bertocchi, Cristina Sharma, Ankur Arasi, Bakya Chung, Vin Yee Greene, Adrienne C Tan, Tuan Zea Chen, Zhongwen Ong, Hui Ting Iyer, N Gopalakrishna Huang, Ruby YunJu DasGupta, Ramanuj Groves, Jay T Viasnoff, Virgile |
Issue Date: | 6-Aug-2020 | Publisher: | Nature Research | Citation: | Ravasio, Andrea, Myaing, Myint Z, Chia, Shumei, Arora, Aditya, Sathe, Aneesh, Cao, Elaine Yiqun, Bertocchi, Cristina, Sharma, Ankur, Arasi, Bakya, Chung, Vin Yee, Greene, Adrienne C, Tan, Tuan Zea, Chen, Zhongwen, Ong, Hui Ting, Iyer, N Gopalakrishna, Huang, Ruby YunJu, DasGupta, Ramanuj, Groves, Jay T, Viasnoff, Virgile (2020-08-06). Single-cell analysis of EphA clustering phenotypes to probe cancer cell heterogeneity. Communications Biology 3. ScholarBank@NUS Repository. https://doi.org/10.1038/s42003-020-01136-4 | Abstract: | The Eph family of receptor tyrosine kinases is crucial for assembly and maintenance of healthy tissues. Dysfunction in Eph signaling is causally associated with cancer progression. In breast cancer cells, dysregulated Eph signaling has been linked to alterations in receptor clustering abilities. Here, we implemented a single-cell assay and a scoring scheme to systematically probe the spatial organization of activated EphA receptors in multiple carcinoma cells. We show that cancer cells retain EphA clustering phenotype over several generations, and the degree of clustering reported for migration potential both at population and single-cell levels. Finally, using patient-derived cancer lines, we probed the evolution of EphA signalling in cell populations that underwent metastatic transformation and acquisition of drug resistance. Taken together, our scalable approach provides a reliable scoring scheme for EphA clustering that is consistent over multiple carcinomas and can assay heterogeneity of cancer cell populations in a cost- and time-effective manner. @ 2020, The Author(s). | Source Title: | Communications Biology | URI: | https://scholarbank.nus.edu.sg/handle/10635/191170 | ISSN: | 23993642 | DOI: | 10.1038/s42003-020-01136-4 |
Appears in Collections: | Elements Staff Publications |
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