Evidence map›Paper›PMID 21522496›Full record

ArticleBiomicrofluidics2011

Microfluidic devices for studying heterotypic cell-cell interactions and tissue specimen cultures under controlled microenvironments.

Ioannis K Zervantonakis, Chandrasekhar R Kothapalli, Seok Chung, Ryo Sudo, Roger D Kamm

Abstract read
In one paragraph

Article in Biomicrofluidics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Preclinical techniques to investigate exercise training in vascular pathophysiology.American journal of physiology. Heart and circulatory physiology · 2021
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Super-Resolution-Chip: anBiomedical optics express · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Microfluidics-Based Single-Cell Research for Intercellular Interaction.Frontiers in cell and developmental biology · 2021
    Review
  15. Robust and Gradient Thickness Porous Membranes forAdvanced materials technologies · 2020
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

5 authors.

Ioannis K Zervantonakis
Chandrasekhar R Kothapalli
Seok Chung
Ryo Sudo
Roger D Kamm

Funding

Self-Assembling Peptides for Tissue EngineeringR01EB003805 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRODZINSKY, ALAN J. · 2005 to 2009
$6.5M
NIBIB NIH HHS R01 EB003805
6 · The paper itself

Abstract

Microfluidic devices allow for precise control of the cellular and noncellular microenvironment at physiologically relevant length- and time-scales. These devices have been shown to mimic the complex in vivo microenvironment better than conventional in vitro assays, and allow real-time monitoring of homotypic or heterotypic cellular interactions. Microfluidic culture platforms enable new assay designs for culturing multiple different cell populations and∕or tissue specimens under controlled user-defined conditions. Applications include fundamental studies of cell population behaviors, high-throughput drug screening, and tissue engineering. In this review, we summarize recent developments in this field along with studies of heterotypic cell-cell interactions and tissue specimen culture in microfluidic devices from our own laboratory.

Identifiers

PMID21522496
PMCPMC3082343

What OpenQuestion holds

Textmetadata
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.