Evidence map›Paper›PMID 19668248›Full record

ReviewNature reviews. Genetics2009

Microfluidic devices for measuring gene network dynamics in single cells.

Matthew R Bennett, Jeff Hasty

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing 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

114 citing papers in PubMed.

  1. Article
  2. Review
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  13. Engineered Living Hydrogels.Advanced materials (Deerfield Beach, Fla.) · 2022
    Review
  14. Review
  15. Review
  16. Review
  17. Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022
    Article
  18. Article
  19. Review
  20. Article

54 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

2 authors.

Matthew R BennettDepartment of Biochemistry and Cell Biology and Institute of Biosciences and Bioengineering, Rice University, 6100 Main Street, Houston, Texas 77005-1892, USA. matthew.bennett@rice.edu
Jeff Hasty

Funding

Metabolic Control in a Dynamic EnvironmentR01GM079333 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M · 2007 to 2014
$3.3M
NIGMS NIH HHS R01 GM079333PHS HHS GMO79333
6 · The paper itself

Abstract

The dynamics governing gene regulation have an important role in determining the phenotype of a cell or organism. From processing extracellular signals to generating internal rhythms, gene networks are central to many time-dependent cellular processes. Recent technological advances now make it possible to track the dynamics of gene networks in single cells under various environmental conditions using microfluidic 'lab-on-a-chip' devices, and researchers are using these new techniques to analyse cellular dynamics and discover regulatory mechanisms. These technologies are expected to yield novel insights and allow the construction of mathematical models that more accurately describe the complex dynamics of gene regulation.

Indexed as

Microfluidic Analytical TechniquesAnimalsCellsGene Expression RegulationGene Regulatory NetworksGreen Fluorescent ProteinsHumansKineticsModels, BiologicalGreen Fluorescent Proteins

Identifiers

PMID19668248
PMCPMC2931582

What OpenQuestion holds

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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.