TY - JOUR
T1 - Single cell analysis of cancer genomes
AU - Van Loo, Peter
AU - Voet, Thierry
N1 - Funding Information:
We acknowledge the Wellcome Trust (UK), the Research Foundation — Flanders (FWO; Belgium) [FWO-G.0687.12 to T.V. and P.V.L.], and the KU Leuven [Belgium; SymBioSys, PFV/10/016 to T.V.]. PVL is supported by a postdoctoral research fellowship of the FWO.
PY - 2014/2
Y1 - 2014/2
N2 - Genomic studies have provided key insights into how cancers develop, evolve, metastasize and respond to treatment. Cancers result from an interplay between mutation, selection and clonal expansions. In solid tumours, this Darwinian competition between subclones is also influenced by topological factors. Recent advances have made it possible to study cancers at the single cell level. These methods represent important tools to dissect cancer evolution and provide the potential to considerably change both cancer research and clinical practice. Here we discuss state-of-the-art methods for the isolation of a single cell, whole-genome and whole-transcriptome amplification of the cell's nucleic acids, as well as microarray and massively parallel sequencing analysis of such amplification products. We discuss the strengths and the limitations of the techniques, and explore single-cell methodologies for future cancer research, as well as diagnosis and treatment of the disease.
AB - Genomic studies have provided key insights into how cancers develop, evolve, metastasize and respond to treatment. Cancers result from an interplay between mutation, selection and clonal expansions. In solid tumours, this Darwinian competition between subclones is also influenced by topological factors. Recent advances have made it possible to study cancers at the single cell level. These methods represent important tools to dissect cancer evolution and provide the potential to considerably change both cancer research and clinical practice. Here we discuss state-of-the-art methods for the isolation of a single cell, whole-genome and whole-transcriptome amplification of the cell's nucleic acids, as well as microarray and massively parallel sequencing analysis of such amplification products. We discuss the strengths and the limitations of the techniques, and explore single-cell methodologies for future cancer research, as well as diagnosis and treatment of the disease.
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U2 - 10.1016/j.gde.2013.12.004
DO - 10.1016/j.gde.2013.12.004
M3 - Review article
C2 - 24531336
AN - SCOPUS:84896286643
SN - 0959-437X
VL - 24
SP - 82
EP - 91
JO - Current Opinion in Genetics and Development
JF - Current Opinion in Genetics and Development
IS - 1
ER -