RNA-Seq – Multimedia

In this infographic, we explore the milestones that led to the spatial transcriptomics techniques of today, beginning decades before the genomic revolution.

Despite the valuable transcriptomic information provided by probe-based spatial assays, detecting immune cell infiltration can pose challenges

Formaldehyde fixed & paraffin-embedded (FFPE) tissue blocks are one of the most commonly used and archived sample types. However, some preservation approaches can result in the degradation of RNA and hinder transcriptome profiling .

Download this listicle to explore how proteomics is being applied in drug discovery and biomedical research, food industry, agriculture, environmental science and forensics.

In this eBook, we highlight developments in cancer research through a selection of articles, interviews and graphics.

Researchers require spatial information and high-plex gene expression data to understand how cells interact with tumors. However, molecular subtyping within a tumor type requires additional stratification at the tissue level to facilitate meaningful subsequent gene expression analysis.

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.

Download this guide to learn more about what RNA-Seq is and the information it provides, advantages of RNA-Seq, the types of RNA-Seq available and what to consider when designing your experiment.

Download this guide to discover what you need for whole genome sequencing analysis, what you need for RNA sequencing analysis and how to analyze each type of data.

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