Evidence map›Paper›PMID 21562611›Full record

ArticleMaterials Research Society symposia proceedings. Materials Research Society2009

Nanoengineering of Immune Cell Function.

Keyue Shen, Michael C Milone, Michael L Dustin, Lance C Kam

Open access · greenAbstract read
In one paragraph

Article in Materials Research Society symposia proceedings. Materials Research Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 82% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Micropatterning of TCR and LFA-1 ligands reveals complementary effects on cytoskeleton mechanics in T cells.Integrative biology : quantitative biosciences from nano to macro · 2015
    Article
  4. Review
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

4 authors at 3 institutions in 1 country.

Keyue ShenDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, U.S.A.
Michael C Milone
Michael L Dustin
Lance C Kam
Columbia University · USNew York University · USUniversity of Pennsylvania · US

Funding

Nanomedicine development center for mechanobiologyPN2EY016586 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2005 to 2014
$23.0M
Modulation of T Cell Function by Patterning of Costimulatory LigandsR21EB008199 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KAM, LANCE C · 2007 to 2008
$426k
Center for Mechanotransduction and Nanomedicine. (RMI)PN1EY016586 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHEETZ, MICHAEL PATRICK · 2004 to 2004
$81k
NEI NIH HHS PN1 EY016586NEI NIH HHS PN2 EY016586NIBIB NIH HHS R21 EB008199
6 · The paper itself

Abstract

T lymphocytes are a key regulatory component of the adaptive immune system. Understanding how the micro- and nano-scale details of the extracellular environment influence T cell activation may have wide impact on the use of T cells for therapeutic purposes. In this article, we examine how the micro- and nano-scale presentation of ligands to cell surface receptors, including microscale organization and nanoscale mobility, influences the activation of T cells. We extend these studies to include the role of cell-generated forces, and the rigidity of the microenvironment, on T cell activation. These approaches enable delivery of defined signals to T cells, a step toward understanding the cell-cell communication in the immune system, and developing micro/nano- and material- engineered systems for tailoring immune responses for adoptive T cell therapies.

Identifiers

PMID21562611
PMCPMC3090082
OpenAlexW2132074955

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.