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

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 ...

A detailed description of the pipeline, methods, and results can be found in the following article: Giraud-Sauveur, F. et al. STHELAR, a multi-tissue dataset linking spatial transcriptomics and ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Formalin-fixed, paraffin-embedded (FFPE) tissues represent the predominant sample conservation method in clinical practice, yet degraded and crosslinked RNA has long limited whole-transcriptome ...