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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, from mouse embryos to the roundworm C. elegans to 31 human tissues. 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 ...
Mount Sinai researchers have published the first organ-wide human skin spatial atlas from across the body. It provides an ...
A new single-cell atlas shows how epigenetic changes reshape brain cells during aging, revealing genomic instability, ...
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 ...
Spatial transcriptomics has revealed that premalignant pancreatic cells organise into defined microenvironments that interact ...
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 ...
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 ...
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 ...
This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...
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