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The single-cell total RNA application on C1 enables full characterization of the transcriptome in single-cells. By retaining both polyadenylated and non-polyadenylated RNA analysis of long non-coding RNAs, enhancer RNAs, histone mRNAs, miRNA and other non-polyadenylated RNAs can be achieved. Using either the C1 Open App or mRNA sequencing integrated fluidic circuits (IFC) along with the Takara Bio SMART-Seq stranded kit the total RNA from single-cells can be studied bringing a fuller representation of the transcriptome in single-cells.
Please use 10,000 characters maxCell Name | Cell Type | Source |
---|---|---|
K562 | Cancer | Cell line |
HL60 | Blood | Cell line |
T cells | Stimulated human | Primary |
HeLa | Cancer | Cell line |
Comparing total RNA-Seq and polyadenylated methods such as SMART-Seq v4 we observe an increasing diversity of gene detection. In HL60 and K562 cells our total RNA-Seq method demonstrates more genes detected (with greater diversity) with an increasing number of mapped reads meaning that more non-coding RNA biotypes can be interrogated in the total RNA-Seq protocol compared to SMART-Seq v4.
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