Spatial transcriptomics seeks to analyze astronomical numbers of cells and map the differences between them. As such, scientists need technologies that can acquire high-volume, ...

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues.. While traditional RNA sequencing methods generate quantitative ...

Spatial data gives valuable context to the flood of genomic information that has emerged since the human genome was sequenced. In this infographic, we explore the milestones that led to the spatial ...

More information: Yitao Yang et al, STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration, Nature Communications ...

Spatial transcriptomics (ST) emerges as a pivotal technique for cataloging gene expression across tissue sections while retaining crucial locational data. Traditional methodologies, encompassing ...

Spatial transcriptomics has added an essential dimension to our understanding of musculoskeletal biology. It enables us to pinpoint where genes are active within the intact tissue environment, ...

However, "previous spatial transcriptomics data for Alzheimer's have not truly resolved single-cell data," Peng said. "Existing methods result in a low-resolution output, often clustering multiple ...

Spatial transcriptomics is a new tool that may prove key to increasing our understanding of tissues and the cellular processes at work in a 3D space. This article describes the basic principles of ...

Spatial transcriptomics—or “spatial,” as it is commonly known—may help scRNA-seq finish the revolution it started. Spatial is nothing less than the genome-wide readout of gene expression ...

Spatial transcriptomics techniques, which map gene activity in intact tissues, often face challenges in accurately identifying distinct tissue regions. Now, researchers from Japan have developed ...