Bioorthogonal Metabolic Labeling of Nascent RNA in Neurons Improves the Sensitivity of Transcriptome-Wide Profiling

ACS Chem Neurosci. 2018 Jul 18;9(7):1858-1865. doi: 10.1021/acschemneuro.8b00197. Epub 2018 Jun 15.

Abstract

Transcriptome-wide expression profiling of neurons has provided important insights into the underlying molecular mechanisms and gene expression patterns that transpire during learning and memory formation. However, there is a paucity of tools for profiling stimulus-induced RNA within specific neuronal cell populations. A bioorthogonal method to chemically label nascent (i.e., newly transcribed) RNA in a cell-type-specific and temporally controlled manner, which is also amenable to bioconjugation via click chemistry, was recently developed and optimized within conventional immortalized cell lines. However, its value within a more fragile and complicated cellular system such as neurons, as well as for transcriptome-wide expression profiling, has yet to be demonstrated. Here, we report the visualization and sequencing of activity-dependent nascent RNA derived from neurons using this labeling method. This work has important implications for improving transcriptome-wide expression profiling and visualization of nascent RNA in neurons, which has the potential to provide valuable insights into the mechanisms underlying neural plasticity, learning, and memory.

Keywords: CuAAC; Nascent RNA; UPRT; neuron; transcriptome-wide profiling.

Publication types

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

MeSH terms

  • Animals
  • Cells, Cultured
  • Cerebral Cortex / chemistry
  • Cerebral Cortex / metabolism
  • Computational Biology
  • Gene Expression Profiling / methods*
  • Mice, Inbred C57BL
  • Neurons / chemistry
  • Neurons / metabolism*
  • Primary Cell Culture
  • RNA / chemistry
  • RNA / metabolism*

Substances

  • RNA