Evidence map›Paper›PMID 28994285›Full record

ArticleNano letters2017

Biologically Inspired Design of Nanoparticle Artificial Antigen-Presenting Cells for Immunomodulation.

John W Hickey, Fernando P Vicente, Gregory P Howard, Hai-Quan Mao, Jonathan P Schneck

Abstract read
In one paragraph

Article in Nano letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

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12 more citing papers are in PubMed but not listed here.

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.

John W HickeyDepartment of Biomedical Engineering, School of Medicine, ‡Institute for Cell Engineering, School of Medicine, §Department of Pathology, School of Medicine, ∥Translational Tissue Engineering Center, ⊥Institute for Nanobiotechnology, #Department of Materials Science and Engineering, Whiting School of Engineering, ∇Department of Medicine, School of Medicine, Johns Hopkins University , Baltimore, Maryland 21231, United States.
Fernando P VicenteDepartment of Biomedical Engineering, School of Medicine, ‡Institute for Cell Engineering, School of Medicine, §Department of Pathology, School of Medicine, ∥Translational Tissue Engineering Center, ⊥Institute for Nanobiotechnology, #Department of Materials Science and Engineering, Whiting School of Engineering, ∇Department of Medicine, School of Medicine, Johns Hopkins University , Baltimore, Maryland 21231, United States.
Gregory P HowardDepartment of Biomedical Engineering, School of Medicine, ‡Institute for Cell Engineering, School of Medicine, §Department of Pathology, School of Medicine, ∥Translational Tissue Engineering Center, ⊥Institute for Nanobiotechnology, #Department of Materials Science and Engineering, Whiting School of Engineering, ∇Department of Medicine, School of Medicine, Johns Hopkins University , Baltimore, Maryland 21231, United States.
Hai-Quan MaoDepartment of Biomedical Engineering, School of Medicine, ‡Institute for Cell Engineering, School of Medicine, §Department of Pathology, School of Medicine, ∥Translational Tissue Engineering Center, ⊥Institute for Nanobiotechnology, #Department of Materials Science and Engineering, Whiting School of Engineering, ∇Department of Medicine, School of Medicine, Johns Hopkins University , Baltimore, Maryland 21231, United States.ORCID 0000-0002-4262-9988
Jonathan P SchneckDepartment of Biomedical Engineering, School of Medicine, ‡Institute for Cell Engineering, School of Medicine, §Department of Pathology, School of Medicine, ∥Translational Tissue Engineering Center, ⊥Institute for Nanobiotechnology, #Department of Materials Science and Engineering, Whiting School of Engineering, ∇Department of Medicine, School of Medicine, Johns Hopkins University , Baltimore, Maryland 21231, United States.ORCID 0000-0001-5346-2776

Funding

The influence of TCR spatial organization on the T cell responsesP01AI072677 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SCHNECK, JONATHAN P · 2008 to 2012
$10.3M
T32: Predoctoral and Postdoctoral Training Program in Nanotechnology for Cancer ResearchT32CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2015 to 2026
$3.5M
Use of aAPC for Melanoma Adoptive ImmunotherapyR01CA108835 · NCI · JOHNS HOPKINS UNIVERSITY · PI SCHNECK, JONATHAN P · 2004 to 2015
$3.3M
T-32 NIH Postdoctoral Training Program in Nanotechnology for Cancer Medicine NTCMT32CA130840 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2008 to 2012
$1.2M
Antigen-specific T cell Redirectors, ATR, for immunotherapyR21CA185819 · NCI · JOHNS HOPKINS UNIVERSITY · PI SCHNECK, JONATHAN P · 2015 to 2016
$388k
NCI NIH HHS R01 CA108835NCI NIH HHS R21 CA185819NCI NIH HHS T32 CA130840NCI NIH HHS T32 CA153952NIAID NIH HHS P01 AI072677NIH HHS P01-AI072677NIH HHS R01-CA108835NIH HHS R21-CA185819
6 · The paper itself

Abstract

Particles engineered to engage and interact with cell surface ligands and to modulate cells can be harnessed to explore basic biological questions as well as to devise cellular therapies. Biology has inspired the design of these particles, such as artificial antigen-presenting cells (aAPCs) for use in immunotherapy. While much has been learned about mimicking antigen presenting cell biology, as we decrease the size of aAPCs to the nanometer scale, we need to extend biomimetic design to include considerations of T cell biology-including T-cell receptor (TCR) organization. Here we describe the first quantitative analysis of particle size effect on aAPCs with both Signals 1 and 2 based on T cell biology. We show that aAPCs, larger than 300 nm, activate T cells more efficiently than smaller aAPCs, 50 nm. The 50 nm aAPCs require saturating doses or require artificial magnetic clustering to activate T cells. Increasing ligand density alone on the 50 nm aAPCs did not increase their ability to stimulate CD8+ T cells, confirming the size-dependent phenomenon. These data support the need for multireceptor ligation and activation of T-cell receptor (TCR) nanoclusters of similar sizes to 300 nm aAPCs. Quantitative analysis and modeling of a nanoparticle system provides insight into engineering constraints of aAPCs for T cell immunotherapy applications and offers a case study for other cell-modulating particles.

Indexed as

ImmunomodulationLymphocyte ActivationAntigen-Presenting CellsArtificial CellsBiomimetic MaterialsBiomimeticsCD28 AntigensCD8 AntigensHumansImmunotherapyLigandsMajor Histocompatibility ComplexNanoparticlesNeoplasmsParticle SizeReceptors, Antigen, T-CellCD28 AntigensCD8 AntigensLigandsReceptors, Antigen, T-CellArtificial antigen presenting cellCD8+ T cellimmunotherapynanoparticleparticle sizereceptor clustering

Identifiers

PMID28994285
PMCPMC6709596

What OpenQuestion holds

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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.