PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing

Genome Biol. 2018 Oct 8;19(1):158. doi: 10.1186/s13059-018-1543-9.

Abstract

Spatial mapping of genomic data to tissue context in a high-throughput and high-resolution manner has been challenging due to technical limitations. Here, we describe PHLI-seq, a novel approach that enables high-throughput isolation and genome-wide sequence analysis of single cells or small numbers of cells to construct genomic maps within cancer tissue in relation to the images or phenotypes of the cells. By applying PHLI-seq, we reveal the heterogeneity of breast cancer tissues at a high resolution and map the genomic landscape of the cells to their corresponding spatial locations and phenotypes in the 3D tumor mass.

Keywords: Breast cancer; Cell isolation; Precision oncology; Single-cell sequencing; Spatially resolved sequencing; Tumor heterogeneity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Exome / genetics
  • Genome, Human*
  • Genomics
  • HL-60 Cells
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Imaging, Three-Dimensional*
  • Lasers*
  • Microdissection
  • Neoplasms / genetics*
  • Phenotype
  • Polymorphism, Single Nucleotide / genetics
  • Receptor, ErbB-2 / metabolism

Substances

  • ERBB2 protein, human
  • Receptor, ErbB-2