Single-Cell Analysis – News and Features

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.

Gene expression is the key to why our cells look different, even with identical DNA. Measuring this expression can be a real challenge, but a new computational tool will allow scientists to calculate even the smallest expression levels.

Using single-cell analysis—a technology that allows scientists to track cellular behavior one cell at a time—the team traced the lineage of interneurons from their earliest precursor states to their mature forms in mice.

The Malaria Cell Atlas will allow researchers to identify weak points in the parasite’s lifecycle for intervention with drugs.

Findings could aid research into creating new blood cells for transplants and understanding cancer metastasis.

SPLiT-seq is a new technology that can separate thousands of cells using innovative barcoding technology.

Researchers have used sequencing technology and computational power in the race to harness the power of stem cells for brain repair.

Using artificial intelligence and bioinformatics, researchers can create a two-dimensional mapping that can read test results, creating an Instagram of millions of blood cells. "It's an easy way to look at a complex response such as one you would find during immunotherapy."

A new technique takes advantage of single-cell sequencing to guide and filter the vast amount of data which is produced by genome-wide association studies (GWAS).

A 3-D printed, $600 microfluidic controller has been used to characterize fibroblasts in rheumatoid arthritis.