A method connecting single-cell genomic, transcriptomic or proteomic profiles to functional cellular characteristics, especially time-varying phenotypic changes, would inform our understanding of cancer biology. We present functional single-cell sequencing (FUNseq) to address this need and describe how it might provide a unique way to unravel mechanisms that drive cancer.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 per month
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$79.00 per year
only $6.58 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout

References
Dagogo-Jack, I. & Shaw, A. T. Tumour heterogeneity and resistance to cancer therapies. Nat. Rev. Clin. Oncol. 15, 81–94 (2018). This reference indicates how tumour heterogeneity contributes to therapy resistance.
Bedard, P. L., Hansen, A. R., Ratain, M. J. & Siu, L. L. Tumour heterogeneity in the clinic. Nature 501, 355–364 (2013). This reference shows how tumour heterogeneity causes failing cancer treatment.
Lawson, D. A., Kessenbrock, K., Davis, R. T., Pervolarakis, N. & Werb, Z. Tumour heterogeneity and metastasis at single-cell resolution. Nat. Cell Biol. 20, 1349–1360 (2018). This review article summarizes the applications of single-cell sequencing technologies in cancer research.
Chavez, K. J., Garimella, S. V. & Lipkowitz, S. Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer. Breast Dis. 32, 35–48 (2010). This reference shows how triple-negative breast cancer cell lines (including MDA-MB-231) can be used to search for better treatments for triple-negative breast cancer.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: You, L. et al. Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-022-00853-x (2022).
Rights and permissions
About this article
Cite this article
Functional single-cell sequencing links dynamic phenotypes to their genotypes. Nat. Biomed. Eng 6, 501–502 (2022). https://doi.org/10.1038/s41551-022-00877-3
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41551-022-00877-3