ArticleNature biotechnology2020
Multiplex digital spatial profiling of proteins and RNA in fixed tissue.
Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 700 papers.
What it found
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Who cites it
700 citing papers in PubMed, 1,036 citations in OpenAlex.
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- Spatiotemporal Resolution for Neurodegenerative Diseases: Linking Proteinopathy, Cellular Vulnerability, and Disease Trajectories.Neuroscience bulletin · 2026Review
- Spatial transcriptomic sequencing identifies lipid metabolism and mitochondrial respiration as central features of T cell excluded esophageal adenocarcinomas.British journal of cancer · 2026Article
- A modular framework for antibody-drug conjugate biomarkers.Nature reviews. Clinical oncology · 2026Review
- Accurate and well-powered case-control analysis of spatial molecular data.Nature methods · 2026Article
- Spatial Transcriptomics in Thyroid Cancer: A PRISMA-Style Systematic Review of Platforms, Architecture, and Clinical Applications.Journal of clinical medicine · 2026Review
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Unraveling the tapestry: Lessons from multi-omics and spatial biology in hepatocellular cancer.Hepatology (Baltimore, Md.) · 2026Review
- Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
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- Protocol for identifying cellular and molecular signatures from spatial profiling data using micro-tissue analysis.STAR protocols · 2026Article
- Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026Review
- The spatial architecture of tumor immunity: Emerging predictive biomarkers across cancer.Immunologic research · 2026Review
- LSD1 Promotes Immune Exclusion and Suppresses IFN-γ-Associated Transcriptional Programs in Triple-Negative Breast Cancer.Cancers · 2026Article
- Longitudinal spatial multi-omics delineates tumor microenvironment remodeling across sequential EGFR-TKIs in EGFR-mutant NSCLC.Journal of translational medicine · 2026Article
- Artificial intelligence in spatial transcriptomics: a review of methods, datasets, and directions.Briefings in bioinformatics · 2026Review
- Senotypes define the diverse landscape of senescent cells.Nature aging · 2026Review
- SANNO: A Graph-Transformer Enhanced Optimal Transport Tool for Spatial Transcriptomic Annotation.Interdisciplinary sciences, computational life sciences · 2026Article
640 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
22 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital Spatial Profiling (DSP) is a method for highly multiplex spatial profiling of proteins or RNAs suitable for use on formalin-fixed, paraffin-embedded (FFPE) samples. The approach relies on (1) multiplexed readout of proteins or RNAs using oligonucleotide tags; (2) oligonucleotide tags attached to affinity reagents (antibodies or RNA probes) through a photocleavable (PC) linker; and (3) photocleaving light projected onto the tissue sample to release PC oligonucleotides in any spatial pattern across a region of interest (ROI) covering 1 to ~5,000 cells. DSP is capable of single-cell sensitivity within an ROI using the antibody readout, with RNA detection feasible down to ~600 individual mRNA transcripts. We show spatial profiling of up to 44 proteins and 96 genes (928 RNA probes) in lymphoid, colorectal tumor and autoimmune tissues by using the nCounter system and 1,412 genes (4,998 RNA probes) by using next-generation sequencing (NGS). DSP may be used to profile not only proteins and RNAs in biobanked samples but also immune markers in patient samples, with potential prognostic and predictive potential for clinical decision-making.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.