ReviewNature reviews. Immunology2016
T cell migration, search strategies and mechanisms.
Review in Nature reviews. Immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 235 papers, 1 of them a synthesis that pooled it.
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
235 citing papers in PubMed, 1 synthesis or guideline pooled it, 433 citations in OpenAlex.
- Advancements in non-invasive visualization of the immune checkpoint TIGIT: a systematic review.European journal of nuclear medicine and molecular imaging · 2025Pooled it
- Decoding spatiotemporal fibrotic and cellular immunosuppression of therapeutic T cells in live pancreatic ductal adenocarcinoma.Molecular systems biology · 2026Article
- Lnk Governs chemokine-directed trafficking of CD8Molecular therapy. Oncology · 2026Article
- Stiff matrix impairs cytotoxic T lymphocyte function at multiple levels.Science advances · 2026Article
- High-fidelity fast fluorescence lifetime imaging by event-based denoising.Nature biotechnology · 2026Article
- Real-time single-particle imaging of functional lungs reveals mosaic-like patterns of aerosol deposition in alveoli.Nature biomedical engineering · 2026Article
- Data selection choices influence the inferred movement patterns of Plasmodium sporozoites in skin.bioRxiv : the preprint server for biology · 2026Article
- Engineering NK and T cells with metabolite-sensing receptors to target solid tumors.Nature immunology · 2026Article
- Type I interferon drives T cell responses to amyloid beta in the central nervous system.Nature communications · 2026Article
- Diversity in emergent cell locomotion from the coupling cytosolic and cortical Marangoni flows with reaction-diffusion dynamics.PLoS computational biology · 2026Article
- A Human-Based Skin-Lymphoreticular Model-on-Chip to Emulate Inflammatory Skin Conditions.Advanced healthcare materials · 2026Article
- CD4+T cell metabolic reprogramming as therapeutic targets in neurodegenerative diseases.Molecular brain · 2026Review
- Regulatory network and spatial modeling reveal cooperative mechanisms of resistance and immune escape in ER+ breast cancer.BMC cancer · 2026Article
- Functionalized Biomaterials in the Investigation of the Effects of Fluid Shear Forces in the Immune Regulation of Cancer Progression and Metastasis.Journal of functional biomaterials · 2026Review
- Biophysical modeling identifies an optimal hybrid amoeboid-mesenchymal mechanism for maximal T cell migration speeds.Cell reports · 2026Article
- Acute priming using elevated fluid viscosity recovers 'bioRxiv : the preprint server for biology · 2026Article
- Foundational Principles for the Quantitative Translation of T-Cell Therapeutics for Hematologic Malignancies and Immunology.Clinical pharmacology and therapeutics · 2026Review
- T cell decision-making decodes the dynamic antigenic landscape.Frontiers in immunology · 2026Review
- Systematic pan-cancer analysis reveals context-dependent prognostic and immunological roles of WDR1 with divergent effects in renal and gastric cancers.Frontiers in immunology · 2026Article
- Therapeutic targeting of oligodendrocytes in an agent-based model of multiple sclerosis.PLoS computational biology · 2026Article
175 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
3 authors at 2 institutions in 2 countries.
Funding
Abstract
T cell migration is essential for T cell responses; it allows for the detection of cognate antigen at the surface of antigen-presenting cells and for interactions with other cells involved in the immune response. Although appearing random, growing evidence suggests that T cell motility patterns are strategic and governed by mechanisms that are optimized for both the activation stage of the cell and for environment-specific cues. In this Opinion article, we discuss how the combined effects of T cell-intrinsic and -extrinsic forces influence T cell motility patterns in the context of highly complex tissues that are filled with other cells involved in parallel motility. In particular, we examine how insights from 'search theory' can be used to describe T cell movement across an 'exploitation-exploration trade-off' in the context of activation versus effector function and lymph nodes versus peripheral tissues.
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.