ReviewNature immunology2022
A guide to systems-level immunomics.
Review in Nature immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed, 62 citations in OpenAlex.
- The long-lived immune system of centenarians.Nature reviews. Immunology · 2026Review
- Review
- Immune responses and immunomodulation in sepsis: a call for identifying treatable mechanisms.Intensive care medicine · 2026Article
- Reframing sepsis research through translational integrative models.Journal of translational internal medicine · 2026Article
- CD4/CD8 ratio is associated with structural reorganization of vaccine-induced immune responses in people living with HIV.Frontiers in immunology · 2026Article
- Toll-like receptors in innate immunity and inflammation: from fundamental biology to clinic insights.Immunity & inflammation · 2026Review
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- Omics in IgG4-related disease.Chinese medical journal · 2025Review
- Integrative deep immune profiling of the elderly reveals systems-level signatures of aging, sex, smoking, and clinical traits.EBioMedicine · 2025Article
- Multiomics approaches disclose very-early molecular and cellular switches during insect-venom allergen-specific immunotherapy: an observational study.Nature communications · 2024Observational
- Unraveling the Immune Web: Advances in SMI Capsular Fibrosis from Molecular Insights to Preclinical Breakthroughs.Biomolecules · 2024Review
- Immunometabolic changes and potential biomarkers in CFS peripheral immune cells revealed by single-cell RNA sequencing.Journal of translational medicine · 2024Article
- Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion.Annals of clinical and translational neurology · 2024Article
- Advancing pediatric exercise research: A focus on immunomics and cutting-edge technologies.Journal of sport and health science · 2024Article
- Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology.Briefings in bioinformatics · 2024Review
- The Immune Landscape of Pheochromocytoma and Paraganglioma: Current Advances and Perspectives.Endocrine reviews · 2024Review
- Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease.NPJ systems biology and applications · 2024Article
- Machine learning integrative approaches to advance computational immunology.Genome medicine · 2024Review
- The Emerging Field of Cardioimmunology: Past, Present and Foreseeable Future.Circulation research · 2024Review
- Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine.Military Medical Research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The immune system is highly complex and distributed throughout an organism, with hundreds to thousands of cell states existing in parallel with diverse molecular pathways interacting in a highly dynamic and coordinated fashion. Although the characterization of individual genes and molecules is of the utmost importance for understanding immune-system function, high-throughput, high-resolution omics technologies combined with sophisticated computational modeling and machine-learning approaches are creating opportunities to complement standard immunological methods with new insights into immune-system dynamics. Like systems immunology itself, immunology researchers must take advantage of these technologies and form their own diverse networks, connecting with researchers from other disciplines. This Review is an introduction and 'how-to guide' for immunologists with no particular experience in the field of omics but with the intention to learn about and apply these systems-level approaches, and for immunologists who want to make the most of interdisciplinary networks.
Indexed as
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.