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💭Are you eager to enhance sensitivity of your single-cell RNA-Seq experiments? Do you want to explore and identify the subpopulations of your target cells more precisely? 🎯 If so, our newest blog article is a must-read for you! We discuss the major pitfalls of the traditional scRNA-Seq approaches and how you can leverage high-definition scRNA-Seq to overcome these challenges and achieve more comprehensive results. Don't miss out on this opportunity to elevate your research to the next level and learn something new today! To the blog 🚀 High-Definition Single-Cell RNA Sequencing (HD scRNA-Seq) by Lexogen https://lnkd.in/deSiY2Zv

  • Single-cell RNA-Seq has revolutionized the field of transcriptomics, providing unprecedented insight into cellular complexity and heterogeneity. We point out one of the major pitfalls of the classical single-cell RNA-Seq methods and introduce an alternative approach that helps overcome this problem. The main limitation of the classical single-cell RNA-Seq methods is their limited sensitivity – decreased ability to detect all the transcripts in the sample owing to a failure in capture/amplification. By capturing not only highly abundant genes, but also those lowly-expressed, Lexogen’s technology, called THOR (T7 High-resolution Original RNA amplification) allows in-depth analysis of the transcriptome profile of individual cells and gives access to the complete gene expression signatures. LUTHOR High-Definition Single Cell 3' mRNA-Seq Kit coins the term High-Definition Single-Cell RNA-Seq (HD scRNA-Seq), for scRNA-Seq performed using THOR technology.

Great article! ... and for those specifically interested in combining the LUTHOR HD approach with Live-seq (aka sequence your cells while keeping them alive) > Check out this blog post: "LUTHOR HD: Pushing the Boundaries of Single Cell Transcriptome Analysis" https://www.cytosurge.com/applications/single-cell-transcriptome-analysis🧬

Dario Ossola

Product Manager at Cytosurge AG - FluidFM Research Instruments

2w

The ability of Luthor HD to detect thousands of genes from as little as 1/100th of a single-cell equivalent RNA is astonishing and highlights the great potential for #liveseq!

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