MGI Tech Co., Ltd. (MGI), a company dedicated to developing core tools and technologies that drive innovation in life sciences, celebrates its 10th anniversary, a decade marked by breakthroughs that ...
A quiet signal inside a tumor may soon guide how surgeons treat early lung cancer. Researchers now report that hidden genetic ...
Morning Overview on MSN
Metabolic enzyme may predict who benefits from cancer immunotherapy
A metabolic enzyme found in the support cells surrounding tumors may hold the key to predicting which cancer patients will ...
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, ...
Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy characterized by marked cellular and spatial diversity within the tumor microenvironment (TME). The transforming growth factor-β ...
Abstract: Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected ...
Dr. Hailing Shi to apply 3D spatial multi-omics to decode RNA regulation in the human brain and neurodegenerative diseases BOSTON, Jan. 28, 2026 /PRNewswire/ -- Stellaromics, a pioneer in ...
Foster City, Calif. | January 27, 2026 — Signios Bio today announced the launch of a new grant program supporting innovative spatial transcriptomics research using the 10x Genomics Xenium 5K Spatial ...
Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...
Abstract: Spatial transcriptomics technology enables researchers to acquire both spatial location information and gene expression data within tissues, providing new perspectives for understanding ...
The preprint is available here. DeepSpot2Cell predicts virtual single-cell spatial transcriptomics as follows: (1) During training, the model takes as input (i) the cropped cell tile defined by the ...
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