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Random Displacement Amplification Sequencing

Noncoding RNA

Tetsutaro Hayashi, Haruka Ozaki and Itoshi Nikaido
Single-cell Omics Research Unit and Bioinformatics Research Institute, RIKEN Center for Developmental Biology
0.0
2

(...) Published on Rev A

  • supported ifcs:
    Open App IFC
  • number of ifc runs:
    20

Overview

C1-RamDA-seq is a full-length total RNA-sequencing method for understanding single-cell localites such as non-poly(A) RNAs, pre-mRNA, and eRNA. This application will be valuable to researchers working rare cells such as in cancer biology, neurobiology and immune biology. As many biologically important cell types are rare and are often found in heterogeneous cell populations, the accumulating evidence suggests that there is an importance of gaining information at the full-length total RNA-seq level in single cells.

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Protocol: C1-RamDA-seqDuration (H:M): 4:00

Cell Load and Stain

Sample Prep

view protocol worksheet

Tested Primary Cells or Cell Lines

Cell Name Cell Type Source
5G6GR mouse Embryonic stem cells Cell line

Performance

C1 RamDA-seq profiles detects 15,000 transcripts with recursive splicing in >300-kb introns and detects enhancer RNAs and their cell type-specific activity in mouse embryonic stem cells. C1-RamDA-seq demonstrate the dynamics of gene expression, RNA-processing events and transcriptional regulation in single-cells.

Publications or Articles

Performance data

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