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 ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Alliance A092104: A randomized phase 2/3 study of olaparib plus temozolomide versus investigator’s choice for the treatment of patients with advanced uterine leiomyosarcoma after progression on prior ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Illumina's spatial transcriptomics offering is slated to provide analyses of millions of cells per experiment across a 50 mm by 15 mm imaging area. (Pixabay) Illumina is raising the curtain on its ...

Identifying and characterizing the multitude of cell types that make up the brain is fundamental to understanding their function in health and disease. Single-cell RNA sequencing (scRNA-seq) ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

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 ...

MRI-based radiomics for prediction of isocitrate dehydrogenase subtype in glioblastoma multiforme through artificial intelligence models: A systematic review and meta analysis. The utilization of ...

Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, ...