Evidence map›Paper›PMID 24990701›Full record

ArticleMolecular biology reports2014

Quantitative method for in vitro matrigel invasiveness measurement through image analysis software.

Gabriel Gallo-Oller, Juan A Rey, Javier Dotor, Javier S Castresana

Abstract read
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In one paragraph

Article in Molecular biology reports, 2014. 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. Effects of Ultra-Short Pulsed Electric Field Exposure on Glioblastoma Cells.International journal of molecular sciences · 2022
    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

4 authors.

Gabriel Gallo-OllerBrain Tumor Biology Unit-CIFA, University of Navarra School of Sciences, Pamplona, Spain.
Juan A Rey
Javier Dotor
Javier S Castresana

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of cell invasion by matrigel assay is usually evaluated by counting cells able to pass through a porous membrane and attach themselves to the other side, or by an indirect quantification of eluted specific cell staining dye by means of optical density measurement. This paper describes a quantitative analytical imaging approach for determining the invasiveness of tumor cells using a simple method, based on images processing with the public domain software, ImageJ. Images obtained by direct capture are split into the red channel, and the generated image is used to measure the area that cells cover in the picture. To overcome the several disadvantages that classical cell invasion determinations present, we propose this method because it generates more accurate and sensitive determinations, and it could be a reasonable option for improving the quality of the results. The cost-effective alternative method proposed is based on this simple and robust software that is worldwide affordable.

Indexed as

Cell MovementCollagenIn Vitro TechniquesLamininProteoglycansSoftwareCell Line, TumorCell TrackingDrug CombinationsHumansCollagenDrug CombinationsLamininmatrigelProteoglycans

Identifiers

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.