ReviewFrontiers in immunology2018
Integrative Computational Modeling of the Lymph Node Stromal Cell Landscape.
Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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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.
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Who cites it
14 citing papers in PubMed.
- Spatial topology and competitive access differentially shape early T cell priming in the lymph node: an agent-based modeling approach.Frontiers in immunology · 2026Article
- Multiscale computational analysis of the steady fluid flow through a lymph node.Biomechanics and modeling in mechanobiology · 2024Article
- Dynamic multispectral NIR/SWIR forJournal of biomedical optics · 2024Article
- Multiscale homogenization for dual porosity time-dependent Darcy-Brinkman/Darcy coupling and its application to the lymph node.Royal Society open science · 2024Article
- New tools for immunologists: models of lymph node function from cells to tissues.Frontiers in immunology · 2023Review
- Review
- Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system.Materials today. Bio · 2022Review
- Innovations in lymph node targeting nanocarriers.Seminars in immunology · 2021Review
- Tissue-Engineered Stromal Reticula to Study Lymph Node Fibroblastic Reticular Cells in Type I Diabetes.Cellular and molecular bioengineering · 2020Article
- Review
- The Biophysics of Lymphatic Transport: Engineering Tools and Immunological Consequences.iScience · 2019Review
- Fibroblastic Reticular Cells Control Conduit Matrix Deposition during Lymph Node Expansion.Cell reports · 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
- Distributed Adaptive Search in T Cells: Lessons From Ants.Frontiers in immunology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adaptive immune responses develop in secondary lymphoid organs such as lymph nodes (LNs) in a well-coordinated series of interactions between migrating immune cells and resident stromal cells. Although many processes that occur in LNs are well understood from an immunological point of view, our understanding of the fundamental organization and mechanisms that drive these processes is still incomplete. The aim of systems biology approaches is to unravel the complexity of biological systems and describe emergent properties that arise from interactions between individual constituents of the system. The immune system is greater than the sum of its parts, as is the case with any sufficiently complex system. Here, we review recent work and developments of computational LN models with focus on the structure and organization of the stromal cells. We explore various mathematical studies of intranodal T cell motility and migration, their interactions with the LN-resident stromal cells, and computational models of functional chemokine gradient fields and lymph flow dynamics. Lastly, we discuss briefly the importance of hybrid and multi-scale modeling approaches in immunology and the technical challenges involved.
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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.