Natural Barcodes for Longitudinal Single Cell Tracking of Leukemic and Immune Cell Dynamics

Front Immunol. 2022 Jan 3:12:788891. doi: 10.3389/fimmu.2021.788891. eCollection 2021.

Abstract

Blood malignancies provide unique opportunities for longitudinal tracking of disease evolution following therapeutic bottlenecks and for the monitoring of changes in anti-tumor immunity. The expanding development of multi-modal single-cell sequencing technologies affords newer platforms to elucidate the mechanisms underlying these processes at unprecedented resolution. Furthermore, the identification of molecular events that can serve as in-vivo barcodes now facilitate the tracking of the trajectories of malignant and of immune cell populations over time within primary human samples, as these permit unambiguous identification of the clonal lineage of cell populations within heterogeneous phenotypes. Here, we provide an overview of the potential for chromosomal copy number changes, somatic nuclear and mitochondrial DNA mutations, single nucleotide polymorphisms, and T and B cell receptor sequences to serve as personal natural barcodes and review technical implementations in single-cell analysis workflows. Applications of these methodologies include the study of acquired therapeutic resistance and the dissection of donor- and host cellular interactions in the context of allogeneic hematopoietic stem cell transplantation.

Keywords: B cell receptor sequence; T cell receptor sequence; allogeneic hematopoietic stem cell transplantation (allo-HCT); copy number variants (CNV); mitochondrial DNA mutation; single nucleotide polymorphism; single-cell sequencing; somatic nuclear mutation.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Cell Lineage
  • Cell Tracking / methods
  • Cell Tracking / trends
  • DNA Barcoding, Taxonomic / methods*
  • DNA Barcoding, Taxonomic / trends*
  • Humans
  • Immunophenotyping / methods
  • Immunophenotyping / trends
  • Leukemia*
  • Single-Cell Analysis / methods*
  • Single-Cell Analysis / trends*