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Cell lineage analysis of a mouse tumor
Dan Frumkin1, Adam Wasserstrom1, Shalev Itzkovitz2, Tomer Stern2, Alon Harmelin3, Raya Eilam3, Gideon Rechavi4, Ehud Shapiro1, 2 |
1. Department of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel
2. Department of Computer Science and Applied Mathematics, Weizmann Institute of
Science, Rehovot, Israel
3. Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
4. Sheba Cancer Research Center and the Institute of Hematology, The Chaim Sheba Medical
Center, Tel Hashomer and the Sackler School of Medicine, Tel Aviv University, Israel |
| Weizmann Institute of Science, Rehovot 76100 Israel |
Revealing the lineage relations among cancer cells can shed light on tumor growth patterns and metastasis formation, yet cell lineages have been difficult to come by in the absence of a suitable method. We previously developed a method for reconstructing cell lineage trees from genomic variability caused by somatic mutations. Here we apply the method to cancer and reconstruct, for the first time, a lineage tree of neoplastic and adjacent normal cells obtained by laser micro-dissection from tissue sections of a mouse lymphoma. Analysis of the reconstructed tree reveals that the tumor initiated from a single founder cell approximately five months prior to diagnosis; that the tumor grew in a physically coherent manner; and that the average number of cell divisions accumulated in cancerous cells was almost twice than in adjacent normal lung epithelial cells, but slightly less than the expected figure for normal B-lymphocytes. The cells were also genotyped at the P53 locus, and neoplastic cells were found to share a common mutation, which was most likely present in a heterozygous state. Our work shows that the ability to obtain data regarding the physical appearance, precise anatomical position, genotypic profile, and lineage position of single cells may be useful for investigating cancer development, progression, and interaction with the microenvironment. [PDF]
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