Single-Cell Analysis – News and Features

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.

As part of work recently published in Science Advances, a team of researchers from the Institute of Systems Biology at Yale University has built a microfluidic device to demonstrate that single cells preserve a memory of their mother's dynamic response to glucose limitation stress for multiple generations.

The task of building an entire organism from a single-cell is unbelievably complex, and yet happens across multicellular life. New studies now have traced individual cells' division and growth over the first 24 hours of life in two key organisms.

For the first time, researchers have been able to reconstruct the developmental trajectories of individual embryonic cells.

In the post-genomics era, we look at the powerful new revolution in proteomics. We find out how advances are deepening our understanding of cancer biology and resistance processes, which will lead to new clinical applications such as non-invasive biomarkers and drug development.