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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Related Experiment Video

Updated: Aug 2, 2025

Low-input Nucleus Isolation and Multiplexing with Barcoded Antibodies of Mouse Sympathetic Ganglia for Single-nucleus RNA Sequencing
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Low-input Nucleus Isolation and Multiplexing with Barcoded Antibodies of Mouse Sympathetic Ganglia for Single-nucleus RNA Sequencing

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Slide-tags: scalable, single-nucleus barcoding for multi-modal spatial genomics.

Andrew J C Russell, Jackson A Weir, Naeem M Nadaf

    Biorxiv : the Preprint Server for Biology
    |April 17, 2023
    PubMed
    Summary
    This summary is machine-generated.

    We developed Slide-tags, a novel method for spatial genomics that precisely maps individual cell gene expression within intact tissues. This technology enables high-resolution spatial transcriptomics and multiomic profiling across diverse human tissues.

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    An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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    Area of Science:

    • Genomics
    • Molecular Biology
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    Background:

    • High-throughput single-cell technologies have revolutionized tissue biology.
    • Current methods lack routine spatial localization of profiled cells within complex tissues.

    Conclusions:

    • Slide-tags is a universal platform for spatial genomics, adaptable to various single-cell measurement technologies.
    • Enables detailed spatial contextualization of cellular states and interactions in complex biological systems.
    • Facilitates the integration of established single-cell data into the spatial genomics field.