Evidence map›Paper›PMID 25071988›Full record

ArticlePeerJ2014

Automated analysis of invadopodia dynamics in live cells.

Matthew E Berginski, Sarah J Creed, Shelly Cochran, David W Roadcap, James E Bear, Shawn M Gomez

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 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
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Matthew E BerginskiUNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
Sarah J CreedDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
Shelly CochranUNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
David W RoadcapDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
James E BearDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA ; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA ; Howard Hughes Medical Institute , Chevy Chase, MD , USA.
Shawn M GomezUNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA ; Department of Computer Science, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA ; Department of Pharmacology, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
University of North Carolina at Chapel Hill · US

Funding

The Coordination of Cytoskeletal Dynamics by CoroninsR01GM083035 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BEAR, JAMES E · 2007 to 2011
$1.2M
NIGMS NIH HHS R01 GM083035
6 · The paper itself

Abstract

Multiple cell types form specialized protein complexes that are used by the cell to actively degrade the surrounding extracellular matrix. These structures are called podosomes or invadopodia and collectively referred to as invadosomes. Due to their potential importance in both healthy physiology as well as in pathological conditions such as cancer, the characterization of these structures has been of increasing interest. Following early descriptions of invadopodia, assays were developed which labelled the matrix underneath metastatic cancer cells allowing for the assessment of invadopodia activity in motile cells. However, characterization of invadopodia using these methods has traditionally been done manually with time-consuming and potentially biased quantification methods, limiting the number of experiments and the quantity of data that can be analysed. We have developed a system to automate the segmentation, tracking and quantification of invadopodia in time-lapse fluorescence image sets at both the single invadopodia level and whole cell level. We rigorously tested the ability of the method to detect changes in invadopodia formation and dynamics through the use of well-characterized small molecule inhibitors, with known effects on invadopodia. Our results demonstrate the ability of this analysis method to quantify changes in invadopodia formation from live cell imaging data in a high throughput, automated manner.

Indexed as

CancerECM degradationFluorescence microscopyImage analysisInvadopodiaInvasionLive cell imagingMetastasisPodosomes

Identifiers

PMID25071988
PMCPMC4103095
OpenAlexW2023943885

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.