Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1038/s41540-024-00462-1
10X Visium, a popular Spatial transcriptomics (ST) method, faces limited adoption due to its high cost and restricted sample usage per slide. To address these issues, we propose Microarray Integrated Spatial Transcriptomics (MIST), combining conventional tissue microarray (TMA) with Visium, using laser-cutting and 3D printing to enhance slide throughput. Our design facilitates independent replication and customization in individual labs to suit specific experimental needs. We provide a step-by-step guide from designing TMAs to the library preparation step. We demonstrate MIST’s cost-effectiveness and technical benefits over Visium and GeoMx Nanostring. We also introduce ‘AnnotateMap’, a novel computational tool for efficient analysis of multiple ROIs processed through MIST.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41540-024-00462-1
- OA Status
- gold
- Cited By
- 5
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404877901
Raw OpenAlex JSON
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https://openalex.org/W4404877901Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41540-024-00462-1Digital Object Identifier
- Title
-
Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathologyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-30Full publication date if available
- Authors
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Juwayria, Priyansh Shrivastava, Kaustar Yadav, Sourabh Das, Shubham Mittal, Sunil Kumar, Deepali Jain, Prabhat Singh Malik, Ishaan GuptaList of authors in order
- Landing page
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https://doi.org/10.1038/s41540-024-00462-1Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1038/s41540-024-00462-1Direct OA link when available
- Concepts
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Mist, Computer science, Personalization, Microarray, Sample (material), Replication (statistics), Data mining, Biology, World Wide Web, Geography, Gene, Chromatography, Chemistry, Virology, Meteorology, Biochemistry, Gene expressionTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 5Per-year citation counts (last 5 years)
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13Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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