Single-Cell Analysis – Multimedia

This application note demonstrates how timsTOF and single-cell proteomics (SCP) approaches can be combined to create a robust and sensitive immunopeptidomics workflow.

Through a selection of articles, interviews and graphics, this eBook will provide readers with an overview of key advances in proteomics technologies and the applications of proteomics research.

Tissue dissociation is a crucial sample preparation step that enables the isolation of specific cell populations for downstream applications such as single-cell RNA sequencing. Enzymatic tissue dissociation is widely used, but some researchers have concerns about the impact of enzymes on cell marker expression.

According to the World Health Organization (WHO), cancer is a leading cause of death worldwide. Furthermore, recent estimates predict that as many as one in two people could develop a form of cancer in their lifetime.

This whitepaper highlights specific case studies that reveal how researchers are applying nanopore technology to a variety of sequencing techniques, including whole genome, targeted, RNA sequencing and single-cell analysis.

Download this listicle to discover recent examples of how single-cell analysis methods are driving forward research into cancer, aging, and drug discovery and development.

The development of -omics technologies marked a significant step away from the study of a few hundred proteins, genes and metabolites into a field where scientists can examine populations of these molecules, over thousands of molecules in an unbiased manner.

Download this app note to learn how you can select 20 individual CTCs in 10 minutes, this approach can be used for DNA, RNA or proteome analysis as well as how these target cells are selected and isolated in high purity from heterogenous backgrounds.

Speaking at ‘Advances in Proteomics & Metabolomics’ 2022, Harrison Specht from Northeastern University presented his talk on accessible single cell proteomics by mass spectroscopy.

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.