CellART extracts single-cell information from high-resolution spatial transcriptomics
Spatial transcriptomics allows researchers to measure gene activity while preserving information about where that activity occurs inside tissue. Newer technologies can reach very high spatial resolution, but they often face an important limitation, either they detect relatively few RNA ...
Cell2space restores spatial context to single-cell RNA sequencing data
Single-cell RNA sequencing can reveal which genes are active in individual cells, but the process of separating cells from tissue removes information about where those cells originally lived. That spatial information matters because cells behave differently depending on their ...
ResolVI improves accuracy in spatial transcriptomics analysis
Spatial transcriptomics allows researchers to measure gene activity while preserving information about where that activity occurs within a tissue. Unlike conventional RNA sequencing, which often analyzes RNA after cells or tissues have been mixed together, spatial transcriptomics can show ...
New AI approaches to help understand complex biological data
New AI techniques developed by Cardiff University researchers could help unlock complex biological data, from the behaviour of individual cells to the organisation of whole tissues. Researchers at Cardiff University have published two studies addressing fundamental challenges in modern ...
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Spatial transcriptomics is a powerful technology that allows researchers to measure gene activity while preserving information about where cells are located within a tissue. Unlike traditional RNA sequencing, which can lose this spatial information when tissue is broken apart, ...
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
Cells are strongly influenced by their surroundings. Their behavior depends not only on which genes are active, but also on neighboring cells and the specific tissue environment they occupy. Single-cell RNA sequencing, or scRNA-seq, can measure gene activity in ...
Seq-Scope-X pushes spatial transcriptomics beyond optical resolution
RNA sequencing has dramatically improved our understanding of how genes are turned on and off in different cells. More recently, spatial transcriptomics has taken this technology a step further by allowing researchers to measure gene activity while preserving the ...
Spatial transcriptomics benchmark compares leading platforms
Spatial transcriptomics has become one of the most exciting advances in genomics because it allows researchers to measure gene activity while preserving the original location of cells within a tissue. Unlike traditional RNA sequencing, which requires tissues to be ...
HistoMap reconstructs single-cell spatial profiles from bulk RNA sequencing
Bulk RNA sequencing has been widely used to measure gene activity in tissues, but it has an important limitation. Because it analyzes all cells together, it averages gene expression across many different cell types, making it difficult to determine ...
Perturb-DBiT – mapping cancer biology with spatial CRISPR screening and RNA sequencing
Understanding how genes influence cancer growth and spread requires tools that can connect genetic changes to what is happening inside tissues. While CRISPR screening has become a powerful way to test the function of thousands of genes at once, ...
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- Single-cell RNA-seq of the rare virosphere reveals the native hosts of giant viruses in the marine environment
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