Lineage tracing reveals metastatic dynamics

Eunmi Lee; Yibin Kang

doi:10.1016/j.ccell.2021.06.005

Lineage tracing reveals metastatic dynamics

Cancer Cell. 2021 Aug 9;39(8):1050-1052. doi: 10.1016/j.ccell.2021.06.005. Epub 2021 Jun 24.

Authors

Eunmi Lee¹, Yibin Kang²

Affiliations

¹ Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA; Ludwig Institute for Cancer Research Princeton Branch, Princeton, NJ 08544, USA.
² Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA; Ludwig Institute for Cancer Research Princeton Branch, Princeton, NJ 08544, USA. Electronic address: ykang@princeton.edu.

PMID: 34171265
DOI: 10.1016/j.ccell.2021.06.005

Abstract

Combining single-cell lineage tracing with RNA sequencing has provided unprecedented opportunities to prospectively explore metastatic dynamics in vivo. In this issue of Cancer Cell, Simeonov et al. developed the macsGESTALT lineage recording system to reveal that hybrid EMT states and S100 expression are associated with elevated metastatic abilities in a pancreatic cancer model.

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MeSH terms

Cell Lineage / genetics
Exome Sequencing
Humans
Pancreatic Neoplasms* / genetics
Sequence Analysis, RNA