ArticleScience advances2021
High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Identification of Novel Low-Density Neutrophil Markers Through Unbiased High-Dimensional Flow Cytometry Screening in Non-Small Cell Lung Cancer Patients.Frontiers in immunology · 2021Trial
- CytoVI: deep generative modeling of antibody-based single cell data.Nature methods · 2026Article
- Dysbiosis-induced expansion of AXL-positive inflammatory type 3 dendritic cells triggers preclinical autoimmunity.Nature immunology · 2026Article
- Article
- Temporal and spatial atlas of eosinophil specialization across tissues.Nature immunology · 2026Article
- Multimodal single-cell protein and RNA profiling unveils dysregulated immature neutrophil dynamics in gestational diabetes mellitus.Communications biology · 2026Article
- A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice.Nature immunology · 2025Article
- Tonic type I interferon signaling optimizes the antiviral function of plasmacytoid dendritic cells.Nature immunology · 2025Article
- Transformative advances in single-cell omics: a comprehensive review of foundation models, multimodal integration and computational ecosystems.Journal of translational medicine · 2025Review
- Plant-derived vesicle-like nanoparticles in food crops: emerging insights into nutritional biofortification and biomedical applications.Plant biotechnology journal · 2025Review
- Plant-Derived Vesicle-like Nanoparticles: Pioneering Sustainable and Effective Approaches for Tissue Repair and Regeneration.Biomolecules · 2025Review
- Pregnancy-acquired memory CD4Nature communications · 2025Article
- Decoding sex differences in human immunity through systems immunology.Oxford open immunology · 2025Review
- Cytometry masked autoencoder: An accurate and interpretable automated immunophenotyper.Cell reports. Medicine · 2024Article
- Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024Review
- Cholinergic macrophages promote the resolution of peritoneal inflammation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Mapping human hematopoiesis.Nature immunology · 2024Article
- An immunophenotype-coupled transcriptomic atlas of human hematopoietic progenitors.Nature immunology · 2024Article
- Prior infection with unrelated neurotropic virus exacerbates influenza disease and impairs lung T cell responses.Nature communications · 2024Article
- Deterministic reprogramming of neutrophils within tumors.Science (New York, N.Y.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Modern immunologic research increasingly requires high-dimensional analyses to understand the complex milieu of cell types that comprise the tissue microenvironments of disease. To achieve this, we developed Infinity Flow combining hundreds of overlapping flow cytometry panels using machine learning to enable the simultaneous analysis of the coexpression patterns of hundreds of surface-expressed proteins across millions of individual cells. In this study, we demonstrate that this approach allows the comprehensive analysis of the cellular constituency of the steady-state murine lung and the identification of previously unknown cellular heterogeneity in the lungs of melanoma metastasis–bearing mice. We show that by using supervised machine learning, Infinity Flow enhances the accuracy and depth of clustering or dimensionality reduction algorithms. Infinity Flow is a highly scalable, low-cost, and accessible solution to single-cell proteomics in complex tissues.
Identifiers
What OpenQuestion holds
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.