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Transcriptome Analysis of Single Cells
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Complete Transcriptome Analysis by 5'-End Single-Cell RNA-Seq with Random Priming.

Tsukasa Kouno1, Piero Carninci1, Jay W Shin2

  • 1RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.

Methods in Molecular Biology (Clifton, N.J.)
|April 29, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel single-cell 5'-end transcriptome protocol for comprehensive gene analysis. The method captures full transcriptome data, including non-polyadenylated RNA, for deeper biological insights.

Keywords:
5′-end RNAEnhancerEpiSCFluidigm C1 ™PSCSingle-cell complete transcriptomeTSS

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Area of Science:

  • Genomics
  • Molecular Biology
  • Cell Biology

Background:

  • Single-cell transcriptome analysis reveals tissue heterogeneity but often focuses on 3'-end polyadenylated transcripts.
  • Existing droplet-based methods limit comprehensive transcriptome profiling.

Purpose of the Study:

  • To develop a single-cell 5 eal-end transcriptome protocol for complete RNA profiling.
  • To enable detection of Transcription Start Sites (TSS) at single-cell resolution.

Main Methods:

  • Utilized a custom library preparation protocol on the Fluidigm C1™ platform.
  • Employed random primed-cDNA harvesting for single-cell 5 eal-end transcriptome sequencing.
  • Processed up to 96 cells per run for high-throughput analysis.

Main Results:

  • Achieved comprehensive transcriptome analysis, including non-polyadenylated RNA.
  • Enabled single-cell resolution detection of Transcription Start Sites (TSS).
  • Provided a detailed overview of gene regulatory elements in EpiSC-like cells (EpiLC).

Conclusions:

  • The developed protocol offers a more complete view of the transcriptome compared to 3 eal-end methods.
  • This approach enhances understanding of gene regulation by capturing diverse RNA species and TSS.
  • Facilitates discovery of novel regulatory elements and non-polyadenylated RNA functions.