Evidence map›Paper›PMID 30295122›Full record

ArticleCell adhesion & migration2019

Continuous, label-free, 96-well-based determination of cell migration using confluence measurement.

Christian Mayr, Marlena Beyreis, Heidemarie Dobias, Martin Gaisberger, Julia Fuchs, Martin Pichler, Markus Ritter, Martin Jakab, Katharina Helm, Daniel Neureiter and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell adhesion & migration, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Christian Mayra Institute of Physiology and Pathophysiology, Laboratory for Tumour Biology and Experimental Therapies (TREAT) , Paracelsus Medical University Salzburg , Salzburg , Austria.
Marlena Beyreisa Institute of Physiology and Pathophysiology, Laboratory for Tumour Biology and Experimental Therapies (TREAT) , Paracelsus Medical University Salzburg , Salzburg , Austria.
Heidemarie Dobiasd Gastein Research Institute, Institute of Physiology and Pathophysiology , Paracelsus Medical University Salzburg , Salzburg , Austria.
Martin Gaisbergerd Gastein Research Institute, Institute of Physiology and Pathophysiology , Paracelsus Medical University Salzburg , Salzburg , Austria.
Julia Fuchsd Gastein Research Institute, Institute of Physiology and Pathophysiology , Paracelsus Medical University Salzburg , Salzburg , Austria.
Martin Pichlerf Division of Oncology, Department of Internal Medicine , Medical University Graz , Graz , Austria.
Markus Rittera Institute of Physiology and Pathophysiology, Laboratory for Tumour Biology and Experimental Therapies (TREAT) , Paracelsus Medical University Salzburg , Salzburg , Austria.
Martin Jakabc Institute of Physiology and Pathophysiology, Laboratory of Functional and Molecular Membrane Physiology (FMMP) , Paracelsus Medical University Salzburg , Salzburg , Austria.
Katharina Helma Institute of Physiology and Pathophysiology, Laboratory for Tumour Biology and Experimental Therapies (TREAT) , Paracelsus Medical University Salzburg , Salzburg , Austria.
Daniel Neureiterh Institute of Pathology , Paracelsus Medical University/Salzburger Landeskliniken (SALK) , Salzburg , Austria.
Tobias Kiesslicha Institute of Physiology and Pathophysiology, Laboratory for Tumour Biology and Experimental Therapies (TREAT) , Paracelsus Medical University Salzburg , Salzburg , Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular migration is essential in diverse physiological and pathophysiological processes. Here, we present a protocol for quantitative analysis of migration using confluence detection allowing continuous, non-endpoint measurement with minimal hands-on time under cell incubator conditions. Applicability was tested using substances which enhance (EGF) or inhibit (cytochalasin D, ouabain) migration. Using a gap-closure assay we demonstrate that automated confluence detection monitors cellular migration in the 96-well microplate format. Quantification by % confluence, % cell free-area or % confluence in cell-free area against time, allows detailed analysis of cellular migration. The study describes a practicable approach for continuous, non-endpoint measurement of migration in 96-well microplates and for detailed data analysis, which allows for medium/high-throughput analysis of cellular migration in vitro.

Indexed as

Cell MovementCell ProliferationAdenocarcinoma of LungBiological AssayCell AdhesionHumansTumor Cells, CulturedA549 human lung carcinoma cellsconfluence measurementcontinuous measurementcytochalasin Depidermal growth factorgap-closure assayhigh-throughputMigrationnon-endpointouabain

Identifiers

PMID30295122
PMCPMC6527382

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.