Single-Cell Analysis – Multimedia

Single-cell RNA sequencing produces a substantial amount of complex data that can be a burden if you don’t have time to become an expert in bioinformatics.

Rather than choosing between the detail of single-cell RNA sequencing and the in situ capabilities of conventional immunohistochemistry, spatial phenotyping allow you to visualize and quantify dozens of biomarkers in a single tissue sample while maintaining cellular and sub-cellular detail.

Recent technological advancements have made single-cell sequencing an increasingly powerful tool for understanding biology and cellular function, disease diagnosis, therapy response prediction, and treatment selection.

Speaking at ‘Advances in Proteomics & Metabolomics’ 2022, Charlotte Stadler from SciLifeLab presented her talk on the generation of highly multiplexed immunofluorescence data and bridging the gap between research and conventional clinical pathology.

Cell heterogeneity is a key contributor to biological complexity that is often masked by bulk techniques, like RNA sequencing or microarray analysis.

Highly multiplexed spatial biomarker analysis has demonstrated the potential to advance our current understanding of the immune system and its role in cancer.

In this episode, we speak with Andris Abramenkovs, product manager of CellCelector technology at Sartorius.

GeoMx® Human Whole Transcriptome Atlas

Traditional gene expression technologies are unable to capture heterogeneity of the transcriptome with spatial context.

Take your sequencing to the next level with the recently released PromethION 2 devices. They enable flexible, high-yield sequencing, in a compact, accessible design.

Download this listicle to learn more about bulk tissue genomics and single-cell RNA-seq analysis of the mammalian brain and investigating cell type-specific changes in brain disorders