9 Scopus citations

Abstract

Single-cell sequencing technologies are revolutionizing cancer research and are poised to become the standard for translational cancer studies. Rapidly decreasing costs and increasing throughput and resolution are paving the way for the adoption of single-cell technologies in clinical settings for personalized medicine applications. In this chapter, we review the state of the art of single-cell DNA and RNA sequencing technologies, the computational tools to analyze the data, and their potential application to precision oncology. We also discuss the advantages of single-cell over bulk sequencing for the dissection of intra-tumor heterogeneity and the characterization of subclonal cell populations, the implementation of targeted drug repurposing approaches, and describe advanced methodologies for multi-omics data integration and to assess cell signaling at single-cell resolution.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
PublisherSpringer
Pages269-282
Number of pages14
DOIs
StatePublished - 2022

Publication series

NameAdvances in Experimental Medicine and Biology
Volume1361
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019

Keywords

  • CNV
  • Cell-cell signaling
  • Drug repurposing
  • Intra-tumor heterogeneity
  • Pathway analysis
  • SNV
  • Single-cell sequencing
  • scDNA-seq
  • scRNA-seq

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