Evidence map›Paper›PMID 20490938›Full record

ReviewMedical & biological engineering & computing2010

Micro/nano-fabrication technologies for cell biology.

Tongcheng Qian, Yingxiao Wang

Abstract readReview
In one paragraph

Review in Medical & biological engineering & computing, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Selective laser sintering in biomedical engineering.Medical & biological engineering & computing · 2013
    Review
  13. Article
  14. Micro and nanotechnology for biological and biomedical applications.Medical & biological engineering & computing · 2010
    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

2 authors.

Tongcheng QianDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Yingxiao Wang

Funding

FRET Imaging of Molecular Hierarchy at Subcellular Levels in MechanotransductionR01HL098472 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WANG, YINGXIAO · 2010 to 2014
$1.9M
Mechanical Force and Neural RegenerationR01NS063405 · NINDS · UNIVERSITY OF MIAMI CORAL GABLES · PI CHIBA, AKIRA, JAKOBSSON, ERIC G · 2008 to 2011
$1.2M
NHLBI NIH HHS R01 HL098472NINDS NIH HHS R01 NS063405
6 · The paper itself

Abstract

Micro/nano-fabrication techniques, such as soft lithography and electrospinning, have been well-developed and widely applied in many research fields in the past decade. Due to the low costs and simple procedures, these techniques have become important and popular for biological studies. In this review, we focus on the studies integrating micro/nano-fabrication work to elucidate the molecular mechanism of signaling transduction in cell biology. We first describe different micro/nano-fabrication technologies, including techniques generating three-dimensional scaffolds for tissue engineering. We then introduce the application of these technologies in manipulating the physical or chemical micro/nano-environment to regulate the cellular behavior and response, such as cell life and death, differentiation, proliferation, and cell migration. Recent advancement in integrating the micro/nano-technologies and live cell imaging are also discussed. Finally, potential schemes in cell biology involving micro/nano-fabrication technologies are proposed to provide perspectives on the future research activities.

Indexed as

Cell Physiological PhenomenaHumansMicrotechnologyNanotechnologyTissue EngineeringTissue Scaffolds

Identifiers

PMID20490938
PMCPMC3373892

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.