2020
DOI: 10.1038/s42003-020-01395-1
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Author Correction: Single-cell analysis of EphA clustering phenotypes to probe cancer cell heterogeneity

Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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“…Considering this evidence, several studies have been conducted during the last decade, and especially during the last five years, including large single-cell analysis studies on the EPH/ephrin system, which collected and integrated gene expression data. Characteristic examples are Ravasio et al's single-cell analysis, which investigated the role of activated EPHA receptors in multiple carcinoma cells, providing a novel scoring system for EPHA clustering that can assay the heterogeneity of tumor cell types, and Shen et al's single-cell and transcriptomics study, which revealed EFNA1 as a potential prognostic marker for cervical cancer [53,54].…”
Section: Eph/ephrin Signaling In Physiologic Processes and Tumorigenesismentioning
confidence: 99%
“…Considering this evidence, several studies have been conducted during the last decade, and especially during the last five years, including large single-cell analysis studies on the EPH/ephrin system, which collected and integrated gene expression data. Characteristic examples are Ravasio et al's single-cell analysis, which investigated the role of activated EPHA receptors in multiple carcinoma cells, providing a novel scoring system for EPHA clustering that can assay the heterogeneity of tumor cell types, and Shen et al's single-cell and transcriptomics study, which revealed EFNA1 as a potential prognostic marker for cervical cancer [53,54].…”
Section: Eph/ephrin Signaling In Physiologic Processes and Tumorigenesismentioning
confidence: 99%