TARGET-seq Takes Aim at Cancer Evolution through Multi-omics Single-Cell Genotyping and Transcriptomics

Ronan Chaligne; Anna S Nam; Dan A Landau

doi:10.1016/j.molcel.2019.03.009

TARGET-seq Takes Aim at Cancer Evolution through Multi-omics Single-Cell Genotyping and Transcriptomics

Mol Cell. 2019 Mar 21;73(6):1092-1094. doi: 10.1016/j.molcel.2019.03.009.

Authors

Ronan Chaligne¹, Anna S Nam², Dan A Landau³

Affiliations

¹ Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
² New York Genome Center, New York, NY, USA; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
³ Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA. Electronic address: dlandau@nygenome.org.

PMID: 30901562
DOI: 10.1016/j.molcel.2019.03.009

Abstract

In this issue of Molecular Cell, Rodriguez-Meira et al. (2019) present TARGET-seq, an elegant single-cell method that genotypes somatic mutations and captures whole transcriptomes in the same tumor cells, thus paving the way to directly link somatic mutations with resulting transcriptional phenotypes in clonally diverse cancer populations.

Published by Elsevier Inc.

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MeSH terms

Genotype
Humans
Mutation
Neoplasms*
Sequence Analysis, RNA
Single-Cell Analysis*