Using single-cell sequencing and an in vitro culture system, researchers followed transcriptomic and epigenomic features over time in three main embryonic cell lineages.
Researchers focused on candidate genes near expression quantitative trait loci identified by combining cancer susceptibility SNPs and available transcriptomic data.
The company, which spun out of the Netherlands Cancer Institute, has developed technology to identify promoters and enhancers.
Using brain samples from individuals with or without multiple sclerosis, researchers detected declining projection neuron levels and related immune cell shifts.
In Science this week: hundreds of eQTLs change during cellular differentiation, goldfish genome, and more.
Researchers analyzed RNA sequencing data gathered from induced pluripotent stem cells as they differentiated into heart muscle cells.
Using samples from heart failure patients and healthy controls, researchers uncovered a gene that, when absent in mice, reduced their risk of heart failure.
With deep learning, researchers profiled de novo noncoding variants in individuals with ASD from nearly 1,800 families, identifying regulatory factors and related pathways.
By sequencing several individuals with unexplained pancreas and brain development problems, investigators identified a recurrent missense mutation in the CNOT1 gene.
Common non-coding variants, along with rarer coding alterations, appear to contribute to a developmental disease with bowel and other gastrointestinal symptoms.
The Wall Street Journal looks into FamilyTreeDNA's handling of genetic genealogy searches by law enforcement.
In a point-counterpoint in the Boston Globe, researchers discuss the potential of gene editing to prevent Lyme disease, but also the pitfalls of doing so.
MIT's Technology Review reports that researchers hope to develop a CRISPR-based pain therapy.
In Science this week: atlas of malaria parasites' gene expression across their life cycles, and more.