RNA-Seq – News and Features

A machine learning algorithm has been developed to deliver more accurate results from single-cell gene expression database analysis.

Salk researchers reveal PRIMER cells as central to plant immune defense, coordinating responses to pathogens in collaboration with neighboring "bystander" cells. Using advanced cell profiling, they uncovered the transcription factor GT-3a.

A new framework has used neural network training dynamics to interpret single-cell and spatial omics data.

Researchers have uncovered 11 genes that may hold the key to understanding how our brains respond to PFAS chemicals.

Researchers at Columbia University reveal how monoallelic expression (MAE) shapes genetic disease outcomes. By favoring one parent's genes, MAE introduces variability in immune disorders, even among identical mutations.

Most diabetic wound care products are passive dressings, only providing a protective barrier against the external environment. This article explores how hydrogel technologies can promote diabetic wound healing.

Scientists have identified specific cell types in mice brains that change drastically as they age, which could pave the way for future therapies to slow brain aging.

Allen Institute scientists identified brain cell types and a hypothalamic hot spot where significant aging changes occur, using advanced RNA sequencing and brain mapping. The findings highlight targets for potential therapies to delay aging.

Cornell researchers reveal that linker histones, previously thought to merely organize DNA, actively regulate gene expression as transcription factors. This discovery, made in apple cells, highlights a direct role in DNA transcription.

Parag Mallick, Stanford scientist and Nautilus co-founder, is looking to transform proteomics with a platform for proteome-wide analysis, advancing diagnostics and disease research.