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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

Updated: Nov 22, 2025

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
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Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes.

Ethan J Armand1, Junhao Li1, Fangming Xie2

  • 1Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.

Neuron
|January 7, 2021
PubMed
Summary

Single-cell sequencing reveals brain cell diversity and gene regulation. This technology aids in understanding neural circuits and designing tools for functional studies in neuroscience.

Keywords:
ATAC-seqDNA methylationcell statecell typeepigenomemulti-omicsopen chromatinsingle-cell sequencingspatial transcriptomicstranscriptome

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Area of Science:

  • Neuroscience
  • Genomics
  • Molecular Biology

Background:

  • Single-cell sequencing technologies are revolutionizing neuroscience.
  • Understanding cellular diversity in neural circuits is crucial.

Purpose of the Study:

  • To discuss principles of single-cell transcriptomic and epigenomic sequencing.
  • To highlight data analysis and applications in neuroscience.

Main Methods:

  • Measuring multiple molecular signatures in individual cells.
  • Utilizing transcriptomic and epigenomic assays.

Main Results:

  • Comprehensive characterization of brain cell type diversity.
  • Uncovering gene regulatory mechanisms and cellular identity.
  • Providing insights into developmental and evolutionary relationships.

Conclusions:

  • Single-cell sequencing advances neural circuit research.
  • Enables targeted functional studies by linking molecular data to cell properties.