Stem Cells

Finding a needle in a haystack variation

The analysis of single-cell RNA-sequencing data is a powerful tool for identifying new types of cells. However, the rarer the cells are, the more challenging it becomes to find and characterize them. This means that rare cells can often go unnoticed,…

The Leopoldina as German National Academy of Sciences provides science-based advice to policymakers and the public, promoting a scientifically enlightened society and responsible application of scientific insights. Prof Maria-Elena Torres-Padilla…

It is commonly known that DNA assembles into heterochromatin, a densely composed structure, thereby preventing access to the information encoded by the DNA and gene expression. Until now it is not completely understood how this structure forms during…

Modern cancer therapy aims to tailor treatment to each individual patient's needs by identifying specific molecular targets with essential functions in the tumor of these patients. Leukemia, or blood cancer, is a common tumor in children and occurs…

Before a cell divides, the genomic content of a cell is duplicated during DNA replication. Each cell has many origins of replication (ORIs), but not all are active at the same time, and some fire earlier and some later. Combining their approach to…

Stem Cells

News

News Teaser

Finding needles in a haystack of single-cell data: algorithm developed by Scialdone lab helps identify rare cells in single-cell sequencing datasets.

Maria-Elena Torres-Padilla is elected new member of the German Academy of Sciences Leopoldina

Developmental Heterochromatin Formation Is Accompanied by Changes in Biophysical Properties

Identification of two cancer genes for targeted leukemia therapy

How origins of replication are organized by the cytoskeleton