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 ...

New research has mapped the cell types that specialize to form reproductive organs in both sexes, identifying key genes and ...

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

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 ...

This repository provides a comprehensive and reproducible suite of R scripts for analyzing Spatial Transcriptomics (ST) data. It compares the performance and results of Seurat and Giotto, and ...

Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality worldwide, characterized by increasing incidence rates and challenging prognoses. This study integrates ...

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 ...

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 ...

Abstract: Recent advances in high-throughput spatial transcriptomics (ST) technologies now enable high-throughput molecular profiling of cells while maintaining their spatial organization within ...