This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...

Scientists reveal that the scale of analysis determines whether invasive plants succeed by resembling or differing from ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Plants form a critical model for understanding regulated cell death (RCD) as part of their sophisticated immune responses. In the ongoing evolutionary arms ...

For several years, researchers in Würzburg have been using state-of-the-art single-cell analysis to study individual cells.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, driven by marked molecular and clinical heterogeneity and ...

Abstract: Spatial transcriptomics technology enables researchers to acquire both spatial location information and gene expression data within tissues, providing new perspectives for understanding ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from development and tumorigenesis to fibrosis, neurodegeneration, infection and ...

Spatially resolved transcriptomics (SRT) simultaneously captures spatial coordinates, pathological features, and transcriptional profiles of cells within intact tissues, offering unprecedented ...

The study presents convincing quantitative evidence, supported by appropriate negative controls, for the presence of low-abundance glycine receptors (GlyRs) within inhibitory synapses in telencephalic ...