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Updated: May 16, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Published on: January 7, 2020
Nuclear RNA sequencing of the mouse erythroid cell transcriptome
Jennifer A Mitchell1, Ieuan Clay, David Umlauf
1Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada. ja.mitchell@utoronto.ca
Sequencing nuclear RNAs reveals unspliced transcripts, offering a clearer view of cellular transcription than traditional mRNA studies. This method identifies nuclear-retained long non-coding RNAs and regulatory elements.
Area of Science:
- Genomics
- Molecular Biology
- Transcriptomics
Background:
- Mammalian genomes contain a significant portion of transcribed regions beyond protein-coding genes.
- Existing transcriptome studies primarily focus on steady-state messenger RNA (mRNA) levels, overlooking a substantial fraction of the transcribed genome.
- Steady-state mRNA levels are influenced by both transcriptional and post-transcriptional regulation, obscuring a precise understanding of transcriptional output.
Purpose of the Study:
- To compare the nuclear transcriptome with genome-wide RNA polymerase II (RNAPII) occupancy.
- To investigate the correlation between transcriptional output and RNAPII association.
- To identify nuclear-retained long non-coding transcripts and regulatory elements.
Main Methods:
- Deep sequencing of nuclear RNAs (nucRNA-Seq) was performed in parallel with chromatin immunoprecipitation sequencing (ChIP-Seq) for active RNAPII.
- The study utilized mouse anemic spleen erythroid cells.
- Quantification of unspliced transcripts and comparison with steady-state mRNA levels and RNA FISH were conducted.
Main Results:
- Unpliced transcripts quantified by nucRNA-Seq correlate with primary transcript frequencies but differ from steady-state mRNA levels.
- A poor genome-wide correlation was observed between transcriptional output and RNAPII association, particularly due to intergenic regions.
- These intergenic regions are associated with transcription factor binding sites and stable, nuclear-retained long non-coding RNAs.
Conclusions:
- Sequencing the nuclear transcriptome provides a valuable method for assessing the transcriptional landscape of a specific cell type.
- This approach allows for the quantification of unspliced primary transcripts, offering a more direct measure of transcription.
- Nuclear transcriptome sequencing facilitates the identification of nuclear-retained long non-coding RNAs, contributing to a comprehensive understanding of the transcriptome.
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