+65 6777 1045

[email protected]

              

Luthor HD
High-Definition single-cell RNA sequencing

A single cell typically expresses thousands of different genes at the same time. Most of these genes are represented only in a few copies. High-Definition single-cell RNA sequencing (HD scRNA-Seq) collects any mRNA present in the sample, even those lowly expressed transcripts (less than 10 copies). HD scRNA-Seq, therefore, provides a comprehensive overview of the full transcriptomic status in each cell.

  • Request for Quote        More Info  

    • Introduction

    HD scRNA-Seq applications

    High-Definition single-cell RNA sequencing works best with ultra-low initial inputs (as low as 10 pg RNA). By seeing more genes than classical bulk scRNA-Seq methods, it expands transcriptomic analysis into new scientific applications.

    High-definition single-cell differential gene expression analysis

    Detailed characterization of cell subpopulations after larger, less sensitive screenings (bulk scRNA-Seq)

    Rare cell RNA analysis (e.g., circulating tumor cells (CTCs) or innate lymphoid cells (ILCs))

    Subcellular (cytoplasm, organelle) RNA analysis

    Single nucleus RNA-Seq

    Benefits

    LUTHOR HD reaction allows to amplify minuscule amounts of RNA material and to obtain a full understanding of each cell’s gene expression status.

    Unmatched sensitivity: See even lowly expressed genes (<10 copies/cell)

    UMIs included: Avoid any read count duplicates

    Direct RNA amplification: No more gDNA in your reads

    Compatible with "less-than-a-cell" inputs: Go below 10 pg

    Description

    Performance

    LUTHOR HD shows outstanding performance with ultra-low input samples – 10 pg – 1 ng (equivalent to 1 – 100 cells).

    Up to 95% of genes detected at only 1M read depth

    Outstanding sequencing statistics - minimal rRNA and gDNA reads

    High reproducibility, even at ultra-low input

    Click here to view details on Performance and Workflow of LUTHOR HD.

    Lexogen’s LUTHOR HD Application Note has been published in Nature: Advancing High-Definition Single-Cell RNA Sequencing.
    Click here to read the full article.

    Top