AI Deciphers the Hidden Spatial Rules That Guide Immune Cells Through Tissues
An interpretable machine learning framework called SPACER decodes the gene-level rules that recruit or exclude immune cells in tissues, revealing ...
An interpretable machine learning framework called SPACER decodes the gene-level rules that recruit or exclude immune cells in tissues, revealing ...
A landmark single-cell and spatial transcriptomics study of 62 pancreatic tumors shows that genetically distinct clones within each cancer drive ...
A multi-omics study reveals that heart failure and osteoporosis share hundreds of genetic variants that often act in opposite directions, ...
A high-resolution spatial transcriptomic atlas of human ovarian and peritoneal endometriosis lesions reveals conserved fibroblast niches and sensory neuroimmune interactions ...
A five-year, $3.4 million National Cancer Institute grant will help a Boston University-led consortium translate the Lung Pre-Cancer Atlas into ...
Integrating single-cell and spatial transcriptomics, researchers identified a novel invasive-frontier fibroblast state and the multicellular community it defines, which independently ...
A spatial multi-omics study in Nature Communications identifies disease-associated oligodendrocytes whose interleukin 33–ST2 signaling influences alpha-synuclein burden and motor symptoms ...
A new computational framework called STARIT converts the spatial positions of mRNA molecules inside cells into image tensors, allowing deep ...
A new review identifies three fibroblast-driven mechanisms that make liver cancer cells resistant to kinase inhibitors and immunotherapy, while warning ...
A paired spatial multi-omics study of prostate cancer reveals that rising cholesterol during therapy tracks with castration resistance, as import-dominant ...
A multi-platform transcriptomic atlas of the human right ventricle reveals a two-phase progression to failure, with early erosion of protective ...
A new single-cell and spatial atlas of the developing human face identifies 56 cell states, hundreds of spatial patterning genes ...
A new study reveals how SPP1-positive macrophages secrete WNT5A to activate matrix-remodeling fibroblasts in lung adenocarcinoma, building a stiff tumor ...
A new method called CCI-seq captures large-scale cell–cell interaction networks in tissues while preserving full single-cell transcriptomes, revealing interaction-driven gene ...
By combining spatial and single-cell transcriptomics, researchers have mapped previously unknown immunosuppressive niches in colorectal cancer, including SPP1-positive macrophage rings ...
A paired single-nucleus RNA and chromatin atlas with spatial transcriptomics charts how the human meninges, their blood-brain barrier endothelium, yolk ...
A multimodal atlas of the developing human heart reveals 21 tissue niches, shows fetal pacemaker cells recruiting their own nerve ...
A new deep-learning method called VIMA converts tissue patches into numerical fingerprints and uses rigorous statistics to uncover disease-associated spatial ...
A new probabilistic deep learning model called ResolVI corrects misassigned RNA molecules and batch effects in spatial transcriptomics data, sharpening ...
The first single-cell and spatial atlas of the developing human meninges shows that meningioma tumours transcriptionally resemble dura mater cells ...
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