Results 11 to 20 of about 45,113 (260)
Spatial transcriptomics in neuroscience
Experimental and Molecular Medicine, 2023 The brain is one of the most complex living tissue types and is composed of an exceptional diversity of cell types displaying unique functional connectivity.
Namyoung Jung, Tae-Kyung Kim
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Museum of Spatial Transcriptomics [PDF]
Nature Methods, 2020 Abstract The function of many biological systems, such as embryos, liver lobules, intestinal villi, and tumors depends on the spatial organization of their cells. In the past decade high-throughput technologies have been developed to quantify gene expression in space, and computational methods have been developed that
Lambda Moses, Lior Pachter
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Spatially Aware Dimension Reduction for Spatial Transcriptomics [PDF]
Nature Communications, 2022 Abstract Spatial transcriptomics are a collection of genomic technologies that have enabled transcriptomic profiling on tissues with spatial localization information. Analyzing spatial transcriptomic data is computationally challenging, as the data collected from various spatial transcriptomic technologies are often noisy and display ...
Lulu Shang, Xiang Zhou
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Advances in Spatial Transcriptomics in Bone. [PDF]
Curr Osteoporos RepAbstract Purpose of Review Spatial transcriptomics enables to capture the whole transcriptome within the local microenvironment in bone. Within this review, we provide an overview of recent spatial transcriptomics applications and indicate its potential for advancing basic and translational ...
Giger NV, Wehrle E.
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Spatial Transcriptomic Technologies
Cells, 2023 Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a range of diseases, including cancer.
Tsai-Ying Chen +3 more
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Spatial transcriptomics in development and disease
Molecular Biomedicine, 2023 AbstractThe proper functioning of diverse biological systems depends on the spatial organization of their cells, a critical factor for biological processes like shaping intricate tissue functions and precisely determining cell fate. Nonetheless, conventional bulk or single-cell RNA sequencing methods were incapable of simultaneously capturing both gene
Ran Zhou +3 more
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Computational solutions for spatial transcriptomics
Computational and Structural Biotechnology Journal, 2022 Transcriptome level expression data connected to the spatial organization of the cells and molecules would allow a comprehensive understanding of how gene expression is connected to the structure and function in the biological systems. The spatial transcriptomics platforms may soon provide such information.
Iivari Kleino +3 more
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Spatial transcriptomics of a giant pilomatricoma
Journal of Cutaneous Pathology, 2023 AbstractPilomatricomas (PMs) are common benign adnexal tumors that show a predilection for the head and neck region and are characterized at the molecular level by activating mutations in the beta‐catenin (CTNNB1) gene. Giant PMs are a rare histopathological variant, according to the World Health Organization, which are defined by a size greater than 4
Apoorva T. Patil +4 more
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The American Journal of PathologyDataset of spatial transcriptomics of endometrium and ...
Pierre Isnard, Benjamin D. Humphreys
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Clustering spatial transcriptomics data
Bioinformatics, 2021 AbstractMotivationRecent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcriptomics data is the assignment of cell types.
Haotian Teng, Ye Yuan, Ziv Bar-Joseph
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