Literature DB >> 18632647

Cell lineage analysis of a mouse tumor.

Dan Frumkin1, Adam Wasserstrom, Shalev Itzkovitz, Tomer Stern, Alon Harmelin, Raya Eilam, Gideon Rechavi, Ehud Shapiro.   

Abstract

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 microdissection from tissue sections of a mouse lymphoma. Analysis of the reconstructed tree reveals that the tumor initiated from a single founder cell, approximately 5 months before 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 TP53 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 anatomic position, genotypic profile, and lineage position of single cells may be useful for investigating cancer development, progression, and interaction with the microenvironment.

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Year:  2008        PMID: 18632647     DOI: 10.1158/0008-5472.CAN-07-6216

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  35 in total

1.  Quantitative Analysis of Synthetic Cell Lineage Tracing Using Nuclease Barcoding.

Authors:  Stephanie Tzouanas Schmidt; Stephanie M Zimmerman; Jianbin Wang; Stuart K Kim; Stephen R Quake
Journal:  ACS Synth Biol       Date:  2017-03-10       Impact factor: 5.110

2.  Accurate reconstruction of the temporal order of mutations in neoplastic progression.

Authors:  Kathleen Sprouffske; John W Pepper; Carlo C Maley
Journal:  Cancer Prev Res (Phila)       Date:  2011-04-13

Review 3.  The evolution of tumour phylogenetics: principles and practice.

Authors:  Russell Schwartz; Alejandro A Schäffer
Journal:  Nat Rev Genet       Date:  2017-02-13       Impact factor: 53.242

4.  Single-cell genomics.

Authors:  Tomer Kalisky; Stephen R Quake
Journal:  Nat Methods       Date:  2011-04       Impact factor: 28.547

5.  Hypermutable DNA chronicles the evolution of human colon cancer.

Authors:  Kamila Naxerova; Elena Brachtel; Jesse J Salk; Aaron M Seese; Karen Power; Bardia Abbasi; Matija Snuderl; Sarah Chiang; Simon Kasif; Rakesh K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

Review 6.  Single-Cell Physiology.

Authors:  Sattar Taheri-Araghi; Steven D Brown; John T Sauls; Dustin B McIntosh; Suckjoon Jun
Journal:  Annu Rev Biophys       Date:  2015-02-26       Impact factor: 12.981

7.  Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case Study.

Authors:  Daniele Catanzaro; Stanley E Shackney; Alejandro A Schaffer; Russell Schwartz
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2015-09-04       Impact factor: 3.710

Review 8.  Metastasis suppressor genes at the interface between the environment and tumor cell growth.

Authors:  Douglas R Hurst; Danny R Welch
Journal:  Int Rev Cell Mol Biol       Date:  2011       Impact factor: 6.813

Review 9.  Theory and Practice of Lineage Tracing.

Authors:  Ya-Chieh Hsu
Journal:  Stem Cells       Date:  2015-08-18       Impact factor: 6.277

10.  Clonal expansions in ulcerative colitis identify patients with neoplasia.

Authors:  Jesse J Salk; Stephen J Salipante; Rosa Ana Risques; David A Crispin; Lin Li; Mary P Bronner; Teresa A Brentnall; Peter S Rabinovitch; Marshall S Horwitz; Lawrence A Loeb
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-19       Impact factor: 11.205

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