Single-Cell Analysis – News and Features

Researchers have created the most complete catalog of cells in the male gonads. The aim: to create sperm in a dish.

They say 'a picture is worth a thousand words.' Is this true for cell images?

In 2013, Nature named single-cell sequencing (SCS) as the ‘Method of the Year’, citing its potential to transform the fields of biology and medicine. Now, the technique is bringing to light how genetic information can change between individual cells and facilitating the study of rare cell types. This article explores how these insights have helped scientists understand how diseases like cancer can evolve and spread in humans.

New tools are enabling researchers to explore individual cells with unprecedented clarity, allowing RNA and protein expression levels to be simultaneously analyzed. In this blog, Brian Lilhanand, Global Platform Leader, Single Cell Multiomics, at BD, discusses how BD’s new AbSeq Assay can provide this targeted profiling and benefit immunology researchers.

With more and more applications of the microfluidics industry becoming apparent, giving scientists the tools they need has never been more important. This article highlights major industries that benefit from microfluidic technology, and provides insights into how demands for microfluidic components are changing.

Researchers have shown that triple negative breast tumours - which are the most aggressive and have the fewest treatment options - might one day be treated with a drug that cuts the 'phone lines' between normal cells and tumour cells.

A new study has identified where the mutation causing glioblastoma starts. According to the study, neural stem cells away from the tumor mass are the cells of origin that contain mutation drivers for glioblastoma.

A previously unknown airway cell type may be the key to understanding cystic fibrosis.

An LMU team has improved both the sensitivity and efficiency of a popular method for single-cell RNA sequencing, which yields a molecular fingerprint for individual cells based on their patterns of gene activity.

40 subtypes of retinal ganglion cells classified, raising questions about what constitutes a cell type or subtype