Single-cell transcriptomics uncover distinct innate and adaptive cell subsets during tissue homeostasis and regeneration

J Leukoc Biol. 2020 Nov;108(5):1593-1602. doi: 10.1002/JLB.6MR0720-131R. Epub 2020 Oct 18.

Abstract

Recently, immune cell-mediated tissue repair and regeneration has been an emerging paradigm of regenerative medicine. Immune cells form an essential part of the wound as induction of inflammation is a necessary step to elicit tissue healing. Rapid progress in transcriptomic analyses by high-throughput next-generation sequencing has been developed to study gene regulatory network and establish molecular signatures of immune cells that could potentially predict their functional roles in tissue repair and regeneration. However, the identification of cellular heterogeneity especially on the rare cell subsets has been limited in transcriptomic analyses of bulk cell populations. Therefore, genome-wide, single-cell RNA sequencing (scRNA-Seq) has offered an unprecedented approach to unravel cellular diversity and to study novel immune cell populations involved in tissue repair and regeneration through unsupervised sampling of individual cells without the need to rely on prior knowledge about cell-specific markers. The analysis of gene expression patterns at a single-cell resolution also holds promises to uncover the mechanisms and therefore the development of therapeutic strategy promoting immunoregenerative medicine. In this review, we will discuss how scRNA-Seq facilitates the characterization of immune cells, including macrophages, innate lymphoid cells and T and B lymphocytes, discovery of immune cell heterogeneity, identification of novel subsets, and tracking of developmental trajectories of distinct immune cells during tissue homeostasis, repair, and regeneration.

Keywords: immune cells; single cell RNA-Seq; tissue regeneration; tissue repair.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Antigens, Differentiation / immunology
  • B-Lymphocytes / immunology*
  • Humans
  • Immunity, Cellular / immunology*
  • Immunity, Innate*
  • RNA-Seq*
  • Regeneration / immunology*
  • Single-Cell Analysis*
  • T-Lymphocytes / immunology*

Substances

  • Antigens, Differentiation