Evidence map›Paper›PMID 25200637›Full record

ReviewBiochimica et biophysica acta2015

Linking form to function: Biophysical aspects of artificial antigen presenting cell design.

Karlo Perica, Alyssa K Kosmides, Jonathan P Schneck

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. DNA-directed assembly of multivalent lipid nanoparticles for targeted T cell gene delivery.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  3. Theranostics · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Engineering Platforms for T Cell Modulation.International review of cell and molecular biology · 2018
    Review
  19. Article
  20. Article
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

3 authors.

Karlo PericaDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA; Institute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Alyssa K KosmidesDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA; Institute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Jonathan P SchneckInstitute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA. Electronic address: jschnec1@jhmi.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
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
ANTIGEN SPECIFIC MODULATION OF T CELL RESPONSESR01AI044129 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SCHNECK, JONATHAN P · 1999 to 2009
$3.0M
T-32 NIH Postdoctoral Training Program in Nanotechnology for Cancer Medicine NTCMT32CA130840 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2008 to 2012
$1.2M
NCI NIH HHS R01 CA108835NCI NIH HHS T32 CA130840NCI NIH HHS T32 CA153952NIAID NIH HHS P01 AI072677NIAID NIH HHS R01 AI044129NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

Artificial antigen presenting cells (aAPCs) are engineered platforms for T cell activation and expansion, synthesized by coupling T cell activating proteins to the surface of cell lines or biocompatible particles. They can serve both as model systems to study the basic aspects of T cell signaling and translationally as novel approaches for either active or adoptive immunotherapy. Historically, these reductionist systems have not been designed to mimic the temporally and spatially complex interactions observed during endogenous T cell-APC contact, which include receptor organization at both micro- and nanoscales and dynamic changes in cell and membrane morphologies. Here, we review how particle size and shape, as well as heterogenous distribution of T cell activating proteins on the particle surface, are critical aspects of aAPC design. In doing so, we demonstrate how insights derived from endogenous T cell activation can be applied to optimize aAPC, and in turn how aAPC platforms can be used to better understand endogenous T cell stimulation. This article is part of a Special Issue entitled: Nanoscale membrane organisation and signalling.

Indexed as

Artificial CellsBiophysical PhenomenaAnimalsAntigen-Presenting CellsCell CommunicationHumansSignal TransductionT-LymphocytesArtificial antigen presenting cellImmunotherapyMicroparticleMicroscale interactionNanoscale interaction

Identifiers

PMID25200637
PMCPMC4344884

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.