The tumor microenvironment (TME) is a complex network of cells and extracellular components. It plays a crucial role in cancer development, progression, and treatment resistance. To develop effective ...
This illustration summarizes how integrated spatial transcriptomics, single-cell transcriptomics, single-cell epigenomics, and spatial epigenomics enable multi-dimensional profiling of the tumor ...
The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...
Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...
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 ...
The HALP score as a prognostic biomarker in non-small cell lung cancer: A comprehensive meta-analysis of over 7,000 patients. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...
Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...
Enhancing a low-cost, minimally invasive screening test for dihydropyrimidine dehydrogenase mutations linked to 5-fluorouracil sensitivity by integrating computational mutation predictions. This is an ...
Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...
Applying single-cell RNA sequencing has led researchers to be able to profile the entire transcriptome of cells. However, these transcriptomes prove difficult to link back to their original location ...
Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...