Single-Cell Analysis – News and Features

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

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

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.

Venous endothelial cells can help fix damaged blood vessels in the lungs, a new study has found.

Professor Jennifer Van Eyk joined Technology Networks for an exclusive interview at HUPO 2024 to discuss progress and bottlenecks in clinical proteomics

University of Alabama researchers reveal a key mechanism in BK polyomavirus replication, challenging existing models. The virus relies on host cell DNA replication, with its TAg protein expressed only after the first replication round.

A study uncovers that CD8+ T cells in ME/CFS patients exhibit exhaustion-like states, a condition linked to chronic immune activation. This discovery raises the possibility of adapting cancer immunotherapies to reverse T cell exhaustion in ME/CFS.

Researchers have discovered the underlying biology that identifies a subset of patients with acute lymphoblastic leukemia who have a higher-risk version of the disease and are more likely to relapse despite treatment.