Single-Cell Analysis – Multimedia

Download this eBook to learn more about advancing oncology, integrating cancer cell data, defining hetergenous tumor ecosystems as well as modelling tumors cell by cell.

Over recent years, single-cell sequencing has become a method ubiquitously used across several different areas of biological research. Why have so many researchers so rapidly adopted this relatively novel set of techniques and how can they be applied?

In this list, discover more about the key RNA-seq techniques used in neuroscience, including the direction and contributions of single-cell RNA sequencing, patch-seq and fluorescence in situ sequencing.

Download this list to discover more about some of the latest key techniques in cell therapy quality control.

Download this eBook to explore various methods used to study the neural transcriptome, how gene expression analysis can provide detailed information about the central nervous system and how single cell technologies can be used to study the pathogenesis of neuropsychiatric diseases.

2019 has been an exciting year for the proteomics community at Technology Networks. As the year draws to a close, we're reflecting on some of the key insights we have gained.

In this list, we revisit some of the biggest "game changer" studies in transplant research published this year.

To really understand how cells develop over time, snapshots aren't good enough: scientists want to fill in the gaps between snapshots and string everything together into a movie. Therefore, researchers are tapping into a powerful 18th century mathematical method called "optimal transport."

In this infographic, we look at what the tumor microenvironment is, the cells and factors that comprise it, how single-cell sequencing can be used to investigate it, and the therapeutics that target it.

For most laboratory workflows, you’re only as good as your starting material. This is particularly true for next-generation sequencing (NGS). Here are several tips and tricks to preparing NGS libraries that hold true across all applications.