Evidence map›Paper›PMID 21780816›Full record

ArticleNano letters2011

Subcellular resolution mapping of endogenous cytokine secretion by nano-plasmonic-resonator sensor array.

Sheng Wang, Sadao Ota, Bin Guo, Jongeun Ryu, Christopher Rhodes, Yi Xiong, Sheraz Kalim, Li Zeng, Yong Chen, Michael A Teitell and 1 more

Abstract read
In one paragraph

Article in Nano letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

11 authors.

Sheng WangNSF Nanoscale Science and Engineering Center (NSEC), 3112 Etcheverry Hall, University of California, Berkeley, California 94720, United States.
Sadao Ota
Bin Guo
Jongeun Ryu
Christopher Rhodes
Yi Xiong
Sheraz Kalim
Li Zeng
Yong Chen
Michael A Teitell
Xiang Zhang

Funding

The Center for Systemic Control of Cyto-NetworksPN2EY018228 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HO, CHIH-MING · 2006 to 2010
$8.2M
TCL1 ONCOGENE IN B LYMPHOCYTE DEVELOPMENT AND NEOPLASIAR01CA090571 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2002 to 2015
$3.8M
A Fourth Outcome: DNA Damage and the Differentiation of B CellsR01CA156674 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2011 to 2015
$1.5M
NCI NIH HHS R01 CA090571NCI NIH HHS R01 CA156674NEI NIH HHS PN2 EY018228NEI NIH HHS PN2EY018228
6 · The paper itself

Abstract

Local extracellular signaling is central for cellular interactions and organizations. We report a novel sensing technique to interrogate extracellular signaling at the subcellular level. We developed an in situ immunoassay based on giant optical enhancement of a tunable nano-plasmonic-resonator array fabricated by nanoimprint lithography. Our nanoplasmonic device significantly increases the signal-to-noise ratio to enable the first time submicrometer resolution quantitative mapping of endogenous cytokine secretion. Our study shows a markedly high local interleukin-2 (IL-2) concentration within the immediate vicinity of the cell which finally validates a decades-old hypothesis on autocrine physiological concentration and spatial range. This general sensing technique can be applied for a broad range of cellular communication studies to improve our understanding of subcellular signaling and function.

Indexed as

NanotechnologyCytokinesHumansImmunoassayJurkat CellsSubcellular FractionsSurface Plasmon ResonanceCytokines

Identifiers

PMID21780816
PMCPMC3163910

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.