eLife

Exploiting fluctuations in gene expression to detect causal interactions between genes

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
EurekAlert!

Comparative transcriptomic analysis of human maxillary and mandibular tooth germs reveals discrepancies in gene expression patterns

Researchers in Beijing have generated a transcriptomic atlas comparing human fetal tooth germs from the upper and lower jaws at the critical cap stage of development. Previous studies of tooth ...
GMWatch

Gene editing disrupts multiple gene functions through large-scale epigenetic changes in a way that persists through successive cell generations

Study finds CRISPR/Cas gene editing causes “chromatin fatigue” – another surprise mechanism by which it can produce unwanted ...

Gene Expression Market Outlook 2025–2032: Strong CAGR of 5.2% with USD 23.61 Billion Valuation

The Global Gene Expression Market is estimated to be valued at USD 16.56 Bn in 2025 and is expected to reach USD 23.61 Bn by 2032, exhibiting a compound annual growth rate (CAGR) of 5.2% from 2025 to ...
PsyPost on MSN

Combining brain scans and gene data improves prediction of ADHD impulsivity

Researchers have identified specific coupled patterns of brain activity and gene expression that help explain impulsive ...