Lessons from single cell sequencing in CNS cell specification and function

Curr Opin Genet Dev. 2020 Dec:65:138-143. doi: 10.1016/j.gde.2020.05.043. Epub 2020 Jul 14.

Abstract

Modern RNA sequencing methods have greatly increased our understanding of the molecular fingerprint of neurons, astrocytes and oligodendrocytes throughout the central nervous system (CNS). Technical approaches with greater sensitivity and throughput have uncovered new connections between gene expression, cell biology, and ultimately CNS function. In recent years, single cell RNA-sequencing (scRNA-seq) has made a large impact on the neurosciences by enhancing the resolution of types of cells that make up the CNS and shedding light on their developmental trajectories and how their diversity is modified across species. Here we will review the advantages, innovations, and challenges of the single cell genomics era and highlight how it has impacted our understanding of neurodevelopment and neurological function.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Animals
  • Cell Lineage*
  • Central Nervous System / cytology*
  • Central Nervous System / physiology*
  • Computational Biology / methods*
  • Humans
  • Organogenesis*
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / methods*
  • Transcriptome