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Related Concept Videos

RNA-seq03:21

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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. 
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Related Experiment Video

Updated: Jun 24, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

mRNA-Seq whole-transcriptome analysis of a single cell.

Fuchou Tang1, Catalin Barbacioru, Yangzhou Wang

  • 1Wellcome Trust-Cancer Research UK Gurdon Institute of Cancer and Developmental Biology, University of Cambridge, Cambridge, UK.

Nature Methods
|April 8, 2009
PubMed
Summary

This study introduces a sensitive single-cell digital gene expression profiling assay. The mRNA-Seq method detects more genes and novel splice junctions in individual cells than microarrays, revealing transcript complexity.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Transcriptomics

Background:

  • Next-generation sequencing (NGS) is vital for transcriptome analysis.
  • Limited biological material necessitates highly sensitive techniques, especially for single-cell studies.

Purpose of the Study:

  • To develop and validate a single-cell digital gene expression profiling assay.
  • To assess the sensitivity and capabilities of the assay for detecting gene expression and splice variants in individual cells.

Main Methods:

  • Development of a novel mRNA-Seq assay for single-cell gene expression profiling.
  • Application of the assay to single mouse blastomeres and oocytes.
  • Comparison of results with traditional microarray techniques.

Main Results:

  • The mRNA-Seq assay detected 75% more genes than microarrays using a single mouse blastomere.
  • Identified 1,753 novel splice junctions and revealed expression of multiple transcript isoforms in individual cells.
  • Observed abnormal gene upregulation in Dicer1(-/-) and Ago2(-/-) oocytes compared to wild-type controls.

Conclusions:

  • Single-cell digital gene expression profiling offers enhanced sensitivity for transcriptome analysis.
  • The assay demonstrates the complexity of transcript variants at the whole-genome scale within individual cells.
  • The findings provide insights into gene regulation in specific genetic contexts, such as Dicer1 and Ago2 knockout oocytes.