Evidence map›Paper›PMID 23862677›Full record

ReviewAnnual review of biomedical engineering2013

Micro- and nanoscale engineering of cell signaling.

L C Kam, K Shen, M L Dustin

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

L C KamDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA. lk2141@columbia.edu
K Shen
M L Dustin

Funding

Nanomedicine development center for mechanobiologyPN2EY016586 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2005 to 2014
$23.0M
Artificial, Humanized Stem Cell NichesR01EB012521 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI PAREKKADAN, BIJU · 2011 to 2021
$6.0M
Spatial coordination of CD28 and TCR signalingR01AI088377 · NIAID · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KAM, LANCE C · 2010 to 2013
$1.3M
Peripheral Tissue Antigen Display by Mesenchymal Stem CellsK01DK087770 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI PAREKKADAN, BIJU · 2010 to 2014
$682k
NEI NIH HHS PN2 EY016586NEI NIH HHS PN2EY016586NIAID NIH HHS R01 AI088377NIAID NIH HHS R01AI088377NIBIB NIH HHS R01 EB012521NIBIB NIH HHS R01EB012521NIDDK NIH HHS K01 DK087770NIDDK NIH HHS K01DK087770
6 · The paper itself

Abstract

It is increasingly recognized that cell signaling, as a chemical process, must be considered at the local, micrometer scale. Micro- and nanofabrication techniques provide access to these dimensions, with the potential to capture and manipulate the spatial complexity of intracellular signaling in experimental models. This review focuses on recent advances in adapting surface engineering for use with biomolecular systems that interface with cell signaling, particularly with respect to surfaces that interact with multiple receptor systems on individual cells. The utility of this conceptual and experimental approach is demonstrated in the context of epithelial cells and T lymphocytes, two systems whose ability to perform their physiological function is dramatically impacted by the convergence and balance of multiple signaling pathways.

Indexed as

Signal TransductionAnimalsBiocompatible MaterialsCell AdhesionCell CommunicationEpithelial CellsEpithelial-Mesenchymal TransitionExtracellular MatrixHumansImmune SystemSpindle ApparatusTissue EngineeringT-LymphocytesBiocompatible Materials

Identifiers

PMID23862677
PMCPMC4000734

What OpenQuestion holds

Textmetadata
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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.