Using single cell sequencing data to model the evolutionary history of a tumor.

ABSTRACT:

Background

The introduction of next-generation sequencing (NGS) technology has made it possible to detect genomic alterations within tumor cells on a large scale. However, most applications of NGS show the genetic content of mixtures of cells. Recently developed single cell sequencing technology can identify variation within a single cell. Characterization of multiple samples from a tumor using single cell sequencing can potentially provide information on the evolutionary history of that tumor. This may facilitate understanding how key mutations accumulate and evolve in lineages to form a heterogeneous tumor.

Results

We provide a computational method to infer an evolutionary mutation tree based on single cell sequencing data. Our approach differs from traditional phylogeneti

SUBMITTER: Kim KI 

PROVIDER: S-EPMC3903814 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature