ReviewNature immunology2014
Single-cell technologies for monitoring immune systems.
Review in Nature immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
172 citing papers in PubMed.
- Breastfeeding and Neonatal Age Influence Neutrophil-Driven Ontogeny of Blood Cell Populations in the First Week of Human Life.Journal of immunology research · 2024Trial
- Trial
- Dysregulated IL-2 signaling and T-cell subset shifts are associated with eosinophilic esophagitis activity.Biochemistry and biophysics reports · 2026Article
- Cell-Based Immuno-Biosensors Using Microfluidics.Sensors (Basel, Switzerland) · 2026Review
- Integrative Biosensing Nanoplasmonic Array for Real-Time Spatiotemporal Imaging of Protein Secretion in Cell-to-Cell Communication.Small science · 2025Article
- The Impact of Mechanical Circulatory Support Devices on White Blood Cell Phenotype and Function.Cardiovascular engineering and technology · 2025Review
- Modular Droplet-Based Microfluidic Platform for Functional Phenotypic Screening of Natural Killer Cells.Small methods · 2025Article
- Large-scale combinatorial optical barcoding of cells with laser particles.Light, science & applications · 2025Article
- Nucleic Acid Framework-Enabled Spatial Organization for Biological Applications.Chem & bio engineering · 2025Review
- Role of human antigen-specific T cells in tolerance and IgE-mediated allergic reactions to food.Frontiers in immunology · 2025Review
- Quantitative peripheral live single T-cell dynamic polyfunctionality profiling predicts lung cancer checkpoint immunotherapy treatment response and clinical outcomes.Translational lung cancer research · 2024Article
- Report of the Italian Cohort with Activated Phosphoinositide 3-Kinase δ Syndrome in the Target Therapy Era.Journal of clinical immunology · 2024Article
- Imaging-Based Efficacy Evaluation of Cancer Immunotherapy in Engineered Tumor Platforms and Tumor Organoids.Advanced healthcare materials · 2024Review
- Microphysiological Systems for Cancer Immunotherapy Research and Development.Advanced biology · 2024Review
- Applicability of Spatial Technology in Cancer Research.Cancer research and treatment · 2024Review
- Probing T-cell activation in nanoliter tumor co-cultures using membrane displacement trap arrays.Integrative biology : quantitative biosciences from nano to macro · 2024Article
- Genomic and immune signatures predict clinical outcome in newly diagnosed multiple myeloma treated with immunotherapy regimens.Nature cancer · 2023Article
- An introduction to representation learning for single-cell data analysis.Cell reports methods · 2023Review
- Deciphering Cell-Cell Interactions with Integrative Single-Cell Secretion Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Chemoenzymatic Measurement of LacNAc in Single-Cell Multiomics Reveals It as a Cell-Surface Indicator of Glycolytic Activity of CD8Journal of the American Chemical Society · 2023Article
112 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The complex heterogeneity of cells, and their interconnectedness with each other, are major challenges to identifying clinically relevant measurements that reflect the state and capability of the immune system. Highly multiplexed, single-cell technologies may be critical for identifying correlates of disease or immunological interventions as well as for elucidating the underlying mechanisms of immunity. Here we review limitations of bulk measurements and explore advances in single-cell technologies that overcome these problems by expanding the depth and breadth of functional and phenotypic analysis in space and time. The geometric increases in complexity of data make formidable hurdles for exploring, analyzing and presenting results. We summarize recent approaches to making such computations tractable and discuss challenges for integrating heterogeneous data obtained using these single-cell technologies.
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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.