Single-Cell Analysis – News and Features

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

The complexity of the human brain presents scientists with immense challenges as they try to find new treatments for a host of diseases and conditions. But the advent of a new technology known as single-cell RNA sequencing is opening a window into how the brain works.

In the first of a two-part blog series, we discuss the advantages of a modular approach to bioinformatics with Dr. Misha Kapushesky, CEO and Founder of Genestack. Perviously a Team Leader at the European Bioinformatics Institute, we also learn about Misha's move from Institute to industry.

Resarchers analyzed 1.3 million cells and unraveled an unprecedented heterogeneity in rare cell populations during mouse brain development.

USC scientists show how progenitor cells that form the kidney’s filtering units mature into entirely different types of cells.

Scientists at Karolinska Institutet in Sweden and University of North Carolina, USA, have identified the cell types underlying schizophrenia in a new study published in Nature Genetics. The findings offer a roadmap for the development of new therapies to target the condition.

A robotic approach to mass-producing organoids could accelerate regenerative medicine research and drug discovery.