ReviewJournal of theoretical biology2011
Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection.
Review in Journal of theoretical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 38 citations in OpenAlex.
- Spatial topology and competitive access differentially shape early T cell priming in the lymph node: an agent-based modeling approach.Frontiers in immunology · 2026Article
- Distinguishing multiple roles of T cell and macrophage involvement in determining lymph node fates during Mycobacterium tuberculosis infection.PLoS computational biology · 2025Article
- Targeting tumor-draining lymph node to overcome resistance to cancer immunotherapy: an update.Cancer drug resistance (Alhambra, Calif.) · 2025Review
- Dynamic multispectral NIR/SWIR forJournal of biomedical optics · 2024Article
- New tools for immunologists: models of lymph node function from cells to tissues.Frontiers in immunology · 2023Review
- Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system.Materials today. Bio · 2022Review
- An Integrated Spatial Dynamics-Pharmacokinetic Model Explaining Poor Penetration of Anti-retroviral Drugs in Lymph Nodes.Frontiers in bioengineering and biotechnology · 2020Article
- The Biophysics of Lymphatic Transport: Engineering Tools and Immunological Consequences.iScience · 2019Review
- Application of Modeling Approaches to Explore Vaccine Adjuvant Mode-of-Action.Frontiers in immunology · 2019Article
- Role of T Cell-To-Dendritic Cell Chemoattraction in T Cell Priming Initiation in the Lymph Node: An Agent-Based Modeling Study.Frontiers in immunology · 2019Article
- Low Levels of T Cell Exhaustion in Tuberculous Lung Granulomas.Infection and immunity · 2018Article
- Quantitative Measurement of Naïve T Cell Association With Dendritic Cells, FRCs, and Blood Vessels in Lymph Nodes.Frontiers in immunology · 2018Article
- Integrative Computational Modeling of the Lymph Node Stromal Cell Landscape.Frontiers in immunology · 2018Review
- A spatial model of the efficiency of T cell search in the influenza-infected lung.Journal of theoretical biology · 2016Article
- Persistence and Adaptation in Immunity: T Cells Balance the Extent and Thoroughness of Search.PLoS computational biology · 2016Article
- Modeling Lymph Flow and Fluid Exchange with Blood Vessels in Lymph Nodes.Lymphatic research and biology · 2015Article
- Agent-Based Modeling in Systems Pharmacology.CPT: pharmacometrics & systems pharmacology · 2015Article
- Modeling the T cell immune response: a fascinating challenge.Journal of pharmacokinetics and pharmacodynamics · 2014Review
- Spatial modeling of HIV cryptic viremia and 2-LTR formation during raltegravir intensification.Journal of theoretical biology · 2014Article
- Harnessing the heterogeneity of T cell differentiation fate to fine-tune generation of effector and memory T cells.Frontiers in immunology · 2014Article
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 at 2 institutions in 1 country.
Funding
Abstract
Adaptive immunity is initiated in secondary lymphoid tissues when naive T cells recognize foreign antigen presented as MHC-bound peptide on the surface of dendritic cells. Only a small fraction of T cells in the naive repertoire will express T cell receptors specific for a given epitope, but antigen recognition triggers T cell activation and proliferation, thus greatly expanding antigen-specific clones. Expanded T cells can serve a helper function for B cell responses or traffic to sites of infection to secrete cytokines or kill infected cells. Over the past decade, two-photon microscopy of lymphoid tissues has shed important light on T cell development, antigen recognition, cell trafficking and effector functions. These data have enabled the development of sophisticated quantitative and computational models that, in turn, have been used to test hypotheses in silico that would otherwise be impossible or difficult to explore experimentally. Here, we review these models and their principal findings and highlight remaining questions where modeling approaches are poised to advance our understanding of complex immunological systems.
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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.