Co-expression in Single-Cell Analysis: Saving Grace or Original Sin?

Trends Genet. 2018 Nov;34(11):823-831. doi: 10.1016/j.tig.2018.07.007. Epub 2018 Aug 23.

Abstract

As a fundamental unit of life, the cell has rightfully been the subject of intense investigation throughout the history of biology. Technical innovations now make it possible to assay cellular features at genomic scale, yielding breakthroughs in our understanding of the molecular organization of tissues, and even whole organisms. As these data accumulate we will soon be faced with a new challenge: making sense of the plethora of results. Early investigations into the replicability of cell type profiles inferred from single-cell RNA sequencing data have indicated that this is likely to be surprisingly straightforward due to consistent gene co-expression. In this opinion article we discuss the evidence for this claim and its implications for interpreting cell type-specific gene expression.

Keywords: cell type; co-expression; replicability; single-cell RNA-seq; transcriptome.

Publication types

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

MeSH terms

  • Animals
  • Computational Biology
  • Gene Expression Profiling / trends
  • Genome / genetics*
  • Humans
  • Sequence Analysis, RNA / trends*
  • Single-Cell Analysis / trends*
  • Transcriptome / genetics*