High multiplex, digital spatial profiling of proteins and RNA in fixed tissue using genomic detection methods Article Swipe
Christopher R. B. Merritt
,
Giang T. Ong
,
S. Church
,
Kristi Barker
,
Gary Geiss
,
Margaret L. Hoang
,
Jaemyeong Jung
,
Yan Liang
,
Jill McKay-Fleisch
,
Karen Nguyen
,
Kristina Sorg
,
Isaac Sprague
,
Charles Warren
,
Sarah Warren
,
Zoey Zhou
,
Daniel R. Zollinger
,
Dwayne Dunaway
,
Gordon B. Mills
,
Joseph Beechem
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/559021
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/559021
We have developed Digital Spatial Profiling (DSP), a non-destructive method for high-plex spatial profiling of proteins and RNA, using oligonucleotide detection technologies with unlimited multiplexing capability. The key breakthroughs underlying DSP are threefold: (1) multiplexed readout of proteins/RNA using oligo-tags; (2) oligo-tags attached to affinity reagents (antibodies/RNA probes) through a photocleavable (PC) linker; (3) photocleaving light projected onto the tissue sample to release PC-oligos in any spatial pattern. Here we show precise analyte reproducibility, validation, and cellular resolution using DSP. We also demonstrate biological proof-of-concept using lymphoid, colorectal tumor, and autoimmune tissue as models to profile immune cell populations, stroma, and cancer cells to identify factors specific for the diseased microenvironment. DSP utilizes the unlimited multiplexing capability of modern genomic approaches, while simultaneously providing spatial context of protein and RNA to examine biological questions based on analyte location and distribution.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/559021
- https://www.biorxiv.org/content/biorxiv/early/2019/02/26/559021.full.pdf
- OA Status
- green
- Cited By
- 40
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2916942367
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2916942367Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/559021Digital Object Identifier
- Title
-
High multiplex, digital spatial profiling of proteins and RNA in fixed tissue using genomic detection methodsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-02-22Full publication date if available
- Authors
-
Christopher R. B. Merritt, Giang T. Ong, S. Church, Kristi Barker, Gary Geiss, Margaret L. Hoang, Jaemyeong Jung, Yan Liang, Jill McKay-Fleisch, Karen Nguyen, Kristina Sorg, Isaac Sprague, Charles Warren, Sarah Warren, Zoey Zhou, Daniel R. Zollinger, Dwayne Dunaway, Gordon B. Mills, Joseph BeechemList of authors in order
- Landing page
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https://doi.org/10.1101/559021Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2019/02/26/559021.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2019/02/26/559021.full.pdfDirect OA link when available
- Concepts
-
Multiplex, Computational biology, Analyte, Oligonucleotide, RNA, Multiplexing, Biology, Computer science, Chemistry, Bioinformatics, DNA, Chromatography, Genetics, Gene, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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40Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1, 2023: 6, 2022: 1, 2021: 11Per-year citation counts (last 5 years)
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2019-02-22 |
| publication_year | 2019 |
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