Abstract

Significance Tumor cells are heterogeneous, and much variation occurs at the single-cell level, which may contribute to therapeutic response. Here, we studied drug resistance dynamics in a model of tolerance with a metastatic breast cancer cell line by leveraging the power of single-cell RNA-Seq technology. Drug-tolerant cells within a single clone rapidly express high cell-to-cell transcript variability, with a gene expression profile similar to untreated cells, and the population reacquires paclitaxel sensitivity. Our gene expression and single nucleotide variants analyses suggest that equivalent phenotypes are achieved without relying on a unique molecular event or fixed transcriptional programs. Thus, transcriptional heterogeneity might ensure survival of cancer cells with equivalent combinations of gene expression programs and/or single nucleotide variants.

Keywords

BiologyGene expressionGeneclone (Java method)CellSingle-cell analysisRNAPopulationCancer cellPhenotypeGeneticsSingle cell sequencingComputational biologyCancerCancer researchExome sequencingMedicine

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Publication Info

Year
2014
Type
article
Volume
111
Issue
44
Pages
E4726-35
Citations
182
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Wendy Lee, Fernando J. López-Díaz, Shahid Y. Khan et al. (2014). Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing. Proceedings of the National Academy of Sciences , 111 (44) , E4726-35. https://doi.org/10.1073/pnas.1404656111

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DOI
10.1073/pnas.1404656111