Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...

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

Spatial ribonucleic acid (RNA) transcriptomics measures gene expression while preserving each molecule’s coordinates in intact tissue, tying transcripts to histology and local microenvironments.

Understanding how flower buds survive winter and resume growth in spring is crucial for fruit production, especially as climate change alters seasonal temperature patterns. This study maps the ...

Integrating NGS with single-cell and spatial platforms has redefined modern multiomic research. Next-generation sequencing (NGS) has become the backbone of modern biological research, but its highest ...

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 ...

I would like to use UCell to score a gene signature across a 10x Genomics Visium spatial transcriptomics dataset. It is also in an SFE object which inherits all functions that are used with SCE so ...

10x Genomics is one of the pioneers in single-cell analysis and spatial biology, having developed equipment in this field since its foundation in 2012. One of its founders, Serge Saxonov, was ...

Background: Dysregulated fibroblasts and macrophages have been implicated in vascular remodeling in pulmonary arterial hypertension (PAH). Macrophages are known to modulate fibroblast activity in ...