ArticleScientific reports2023
Fully automated sequential immunofluorescence (seqIF) for hyperplex spatial proteomics.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed, 83 citations in OpenAlex.
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- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026Review
- Fibronectin mediates APOE4-driven blood-brain barrier dysfunction in Alzheimer's disease.Nature aging · 2026Article
- Next-generation kidney tissue analysis - spatial omics and digital pathology.Nature reviews. Nephrology · 2026Review
- Spatial omics illuminates tumor heterogeneity.Cell reports methods · 2026Review
- IL6 Supports Development of an Immunosuppressive Microenvironment and Resistance to Therapy in Glioblastoma.Cancer research · 2026Article
- Multimodal spatial omics: From data acquisition to computational integration.Patterns (New York, N.Y.) · 2026Review
- Spotlight on challenges and novel methods in highly multiplexed tissue imaging-based spatial proteomics.Journal of translational medicine · 2026Review
- CSF1R-dependent CD169-positive macrophages locally constrain melanoma growth in the skin.The Journal of experimental medicine · 2026Article
- Nur77 agonism invigorates Natural Killer cell immunity against hepatocellular carcinoma.Nature communications · 2026Article
- Transcriptional states define dependencies and therapeutic vulnerabilities in head and neck cancer.NPJ precision oncology · 2026Article
- Review
- Tumour cell-intrinsic complement C1r and C1s regulate cancer cell fitness and shape the immune microenvironment in triple-negative breast cancer.Cellular and molecular life sciences : CMLS · 2026Article
- 3D imaging with enhanced transparency, signal-to-background ratios, and antigen detection using HyPer-3D.Cell reports methods · 2026Article
- Single-Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm.Molecular & cellular proteomics : MCP · 2026Article
- Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer.bioRxiv : the preprint server for biology · 2026Article
- Toward Computationally Complete Spatial Omics.bioRxiv : the preprint server for biology · 2026Article
- The automated computational workflow QUICHE reveals structural definitions of antitumor responses in triple-negative breast cancer.Nature cancer · 2026Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
22 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tissues are complex environments where different cell types are in constant interaction with each other and with non-cellular components. Preserving the spatial context during proteomics analyses of tissue samples has become an important objective for different applications, one of the most important being the investigation of the tumor microenvironment. Here, we describe a multiplexed protein biomarker detection method on the COMET instrument, coined sequential ImmunoFluorescence (seqIF). The fully automated method uses successive applications of antibody incubation and elution, and in-situ imaging enabled by an integrated microscope and a microfluidic chip that provides optimized optical access to the sample. We show seqIF data on different sample types such as tumor and healthy tissue, including 40-plex on a single tissue section that is obtained in less than 24 h, using off-the-shelf antibodies. We also present extensive characterization of the developed method, including elution efficiency, epitope stability, repeatability and reproducibility, signal uniformity, and dynamic range, in addition to marker and panel optimization strategies. The streamlined workflow using off-the-shelf antibodies, data quality enabling downstream analysis, and ease of reaching hyperplex levels make seqIF suitable for immune-oncology research and other disciplines requiring spatial analysis, paving the way for its adoption in clinical settings.
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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.