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Vizgen is developing the next generation of genomics tools to expand on the capabilities of spatially resolved transcriptomics. Our technology will aide the acceleration of biological research and discovery to advance human health. Access supporting resources by selecting the category below.
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Publications
CSHL Poster 2023: Investigating the spatial distribution of immune cell subtypes in cancer using MERFISH
Introduction In situ profiling of cancer tissue facilitates the preservation of spatial context among the various substates of tumor cells, as well as their interactions with the immune system and the surrounding landscape of stroma,…
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Spatial-Live: A lightweight and versatile tool for single cell spatial-omics data visualization
Abstract Abstract: Single cell spatial-omics data visualization plays a pivotal role in unraveling the intricate spatial organization and heterogeneity of cellular systems. Various software tools and packages have been developed to effectively visualize and interpret…
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Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings
Abstract Single-cell spatial transcriptomics such as in-situ hybridization or sequencing technologies can provide subcellular resolution that enables the identification of individual cell identities, locations, and a deep understanding of subcellular mechanisms. However, accurate segmentation and…
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Single cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism
Abstract Duplication 15q (dup15q) syndrome is the most common genetic cause of autism spectrum disorder (ASD). Due to a higher genetic and phenotypic homogeneity compared to idiopathic autism, dup15q syndrome provides a well-defined setting to…
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Single-cell analysis of prenatal and postnatal human cortical development
Abstract We analyze more than 700,000 single-nucleus RNA-seq profiles from 106 donors during prenatal and postnatal developmental stages and identify lineage-specific programs that underlie the development of specific subtypes of excitatory cortical neurons, interneurons, glial…
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Monkeybread: A Python toolkit for the analysis of cellular niches in single-cell resolution spatial transcriptomics data
Abstract Spatial transcriptomics technologies enable the spatially resolved measurement of gene expression within a tissue specimen. With these technologies, researchers can investigate how cells organize into cellular niches which are defined as distinct regions in…
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Enhancer-AAVs allow genetic access to oligodendrocytes and diverse populations of astrocytes across species
Abstract Proper brain function requires the assembly and function of diverse populations of neurons and glia. Single cell gene expression studies have mostly focused on characterization of neuronal cell diversity; however, recent studies have revealed…
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Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data
ABSTRACT An accurate characterization of cell-cell communication (CCC) in the local tissue microenvironment is critical for elucidating the diverse biological processes that coordinate normal physiological development and disease progression. Emerging spatially resolved transcriptomics (SRT) techniques…
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A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution
ABSTRACT The “dorsal pons”, or “dorsal pontine tegmentum” (dPnTg), is part of the brainstem. It is a complex, densely packed region whose nuclei are involved in the regulation of many vital functions. Notable among them…
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Developmental Mouse Brain Common Coordinate Framework
Abstract 3D standard reference brains serve as key resources to understand the spatial organization of the brain and promote interoperability across different studies. However, unlike the adult mouse brain, the lack of standard 3D reference…
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