Single-cell ATAC and RNA sequencing reveal pre-existing and persistent cells associated with prostate cancer relapse

S. Taavitsainen, N. Engedal, S. Cao, F. Handle, A. Erickson, S. Prekovic, D. Wetterskog, T. Tolonen, E. M. Vuorinen, A. Kiviaho, R. Nätkin, T. Häkkinen, W. Devlies, S. Henttinen, R. Kaarijärvi, M. Lahnalampi, H. Kaljunen, K. Nowakowska, H. Syvälä, M. BläuerP. Cremaschi, F. Claessens, T. Visakorpi, T. L.J. Tammela, T. Murtola, K. J. Granberg, A. D. Lamb, K. Ketola, I. G. Mills, G. Attard, W. Wang, M. Nykter, A. Urbanucci

Research output: Contribution to journalArticleScientificpeer-review

47 Downloads (Pure)


Prostate cancer is heterogeneous and patients would benefit from methods that stratify those who are likely to respond to systemic therapy. Here, we employ single-cell assays for transposase-accessible chromatin (ATAC) and RNA sequencing in models of early treatment response and resistance to enzalutamide. In doing so, we identify pre-existing and treatment-persistent cell subpopulations that possess regenerative potential when subjected to treatment. We find distinct chromatin landscapes associated with enzalutamide treatment and resistance that are linked to alternative transcriptional programs. Transcriptional profiles characteristic of persistent cells are able to stratify the treatment response of patients. Ultimately, we show that defining changes in chromatin and gene expression in single-cell populations from pre-clinical models can reveal as yet unrecognized molecular predictors of treatment response. This suggests that the application of single-cell methods with high analytical resolution in pre-clinical models may powerfully inform clinical decision-making.

Original languageEnglish
Article number5307
JournalNature Communications
Issue number1
Publication statusPublished - 2021
Publication typeA1 Journal article-refereed

Publication forum classification

  • Publication forum level 3

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)


Dive into the research topics of 'Single-cell ATAC and RNA sequencing reveal pre-existing and persistent cells associated with prostate cancer relapse'. Together they form a unique fingerprint.

Cite this