Evidence map›Paper›PMID 35514433›Full record

ReviewMaterials today. Bio2022

Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system.

Yufeng Shou, Sarah C Johnson, Ying Jie Quek, Xianlei Li, Andy Tay

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  19. Targeting alternative splicing in cancer immunotherapy.Frontiers in cell and developmental biology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yufeng ShouDepartment of Biomedical Engineering, National University of Singapore, 117583, Singapore.
Sarah C JohnsonDepartment of Bioengineering, Stanford University, CA, 94305, USA.
Ying Jie QuekDepartment of Biomedical Engineering, National University of Singapore, 117583, Singapore.
Xianlei LiDepartment of Biomedical Engineering, National University of Singapore, 117583, Singapore.
Andy TayDepartment of Biomedical Engineering, National University of Singapore, 117583, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lymph node (LN) is a vital organ of the lymphatic and immune system that enables timely detection, response, and clearance of harmful substances from the body. Each LN comprises of distinct substructures, which host a plethora of immune cell types working in tandem to coordinate complex innate and adaptive immune responses. An improved understanding of LN biology could facilitate treatment in LN-associated pathologies and immunotherapeutic interventions, yet at present, animal models, which often have poor physiological relevance, are the most popular experimental platforms. Emerging biomaterial engineering offers powerful alternatives, with the potential to circumvent limitations of animal models, for in-depth characterization and engineering of the lymphatic and adaptive immune system. In addition, mathematical and computational approaches, particularly in the current age of big data research, are reliable tools to verify and complement biomaterial works. In this review, we first discuss the importance of lymph node in immunity protection followed by recent advances using biomaterials to create

Indexed as

ABM, agent-based modelAPC, antigen-presenting cellBiomaterialsBV, blood vesselComputational modelsCPM, Cellular Potts modelDC, dendritic cellECM, extracellular matrixFDC, follicular dendritic cellFRC, fibroblastic reticular cellImmunotherapyLEC, lymphatic endothelial cellLN, lymph nodeLV, lymphatic vesselLymphatic systemLymph nodeODE, ordinary differential equationPDE, partial differential equationPDMS, polydimethylsiloxane

Identifiers

PMID35514433
PMCPMC9062348

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.