Evidence map›Paper›PMID 19002890›Full record

ArticleCytotechnology2006

Automated time-lapse microscopy and high-resolution tracking of cell migration.

Joseph S Fotos, Vivek P Patel, Norman J Karin, Murali K Temburni, John T Koh, Deni S Galileo

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors at 2 institutions in 1 country.

Joseph S FotosDepartment of Biological Sciences, University of Delaware, Wolf Hall, Newark, DE, 19716, USA.
Vivek P Patel
Norman J Karin
Murali K Temburni
John T Koh
Deni S Galileo
University of Delaware · USPacific Northwest National Laboratory · US

Funding

Photo-Inducible Transcriptional RegulatorsR01NS049523 · NINDS · UNIVERSITY OF DELAWARE · PI KOH, JOHN T · 2004 to 2007
$1.1M
NgCAM/L1 misexpression in developing brainR21NS040317 · NINDS · UNIVERSITY OF DELAWARE · PI GALILEO, DENI S · 2002 to 2004
$535k
Regulation of Osteoblast Function /Lysophosphatidic AcidR03HD042066 · NICHD · UNIVERSITY OF DELAWARE · PI KARIN, NORMAN J · 2002 to 2003
$151k
NICHD NIH HHS R03 HD042066NINDS NIH HHS R01 NS049523NINDS NIH HHS R21 NS040317
6 · The paper itself

Abstract

We describe a novel fully automated high-throughput time-lapse microscopy system and evaluate its performance for precisely tracking the motility of several glioma and osteoblastic cell lines. Use of this system revealed cell motility behavior not discernable with conventional techniques by collecting data (1) from closely spaced time points (minutes), (2) over long periods (hours to days), (3) from multiple areas of interest, (4) in parallel under several different experimental conditions. Quantitation of true individual and average cell velocity and path length was obtained with high spatial and temporal resolution in "scratch" or "wound healing" assays. This revealed unique motility dynamics of drug-treated and adhesion molecule-transfected cells and, thus, this is a considerable improvement over current methods of measurement and analysis. Several fluorescent vital labeling methods commonly used for end-point analyses (GFP expression, DiO lipophilic dye, and Qtracker nanocrystals) were found to be useful for time-lapse studies under specific conditions that are described. To illustrate one application, fluorescently labeled tumor cells were seeded onto cell monolayers expressing ectopic adhesion molecules, and this resulted in consistently reduced tumor cell migration velocities. These highly quantitative time-lapse analysis methods will promote the creation of new cell motility assays and increase the resolution and accuracy of existing assays.

Identifiers

PMID19002890
PMCPMC3449480
OpenAlexW2021999776

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.