Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...
Morning Overview on MSN
New spatial transcriptomics maps gene activity across whole bodies
A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...
Many biological functions and systems are influenced by how gene expression is spatially distributed, from subcellular through to tissue, organ, or at embryonic level. Our understanding of these ...
Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...
Bioptimus, a global AI company building the world's first world model for biology, today announced the launch of its Spatial ...
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 ...
This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...
Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.
This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.
Illustration of a spatial imprint of captured transcripts by Nova-ST, along with the localization of binned clustering, for a coronal section of the mouse brain. The illustration below the brain ...
Rare cancers encompass a heterogeneous group of malignancies characterized by low incidence and prevalence but, often, disproportionately high mortality ...
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 ...
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