Single-Cell Analysis – News and Features

A comprehensive single-cell survey of both fetal and maternal cells that are present during the first trimester could inform further research into a variety of pregnancy complications.

Single nucleotide variations could be the key to better identification of tumor subpopulations.

Single nucleotide variations could be the key to better identification of tumor subpopulations.

Single-cell transcriptomics revealed 10-20% of cells in a kidney organoid were non-renal cells.

Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased cells.

Mapping of a certain group of cells, known as oligodendrocytes, in the central nervous system of a mouse model of multiple sclerosis (MS), shows that they might have a significant role in the development of the disease. The discovery can lead to new therapies targeted at other areas than just the immune system.

As genome editing technologies advance toward clinical therapies, they are raising hopes of a completely new way to treat disease. However, challenges need to be addressed before potential treatments can be widely used in patients. To tackle these challenges, the National Institutes of Health has launched the Somatic Cell Genome Editing program, which has awarded multiple grants including more than $3.6 million to assess the safety of genome editing in human cells and tissues.

A study in mice showed that cells lose their identity and acquire adipogenic traits, as a mechanism underlying cellular aging.

Catching cells in the act of switching from 'pumping' to 'repair' mode with the use of single-cell RNA sequencing should raise alarms, researchers say.

To pick apart the differences between individual cells in complex multicellular organisms, we need to look at cells one-by-one. This article takes a look at how several scientists in North America are using single cell proteomics (SCP) technologies to discern disease pathogenesis and enhance directed stem-cell differentiation.