Evidence map›Paper›PMID 18213366›Full record

ArticlePloS one2008

Identification of novel pro-migratory, cancer-associated genes using quantitative, microscopy-based screening.

Suha Naffar-Abu-Amara, Tal Shay, Meirav Galun, Naomi Cohen, Steven J Isakoff, Zvi Kam, Benjamin Geiger

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Suha Naffar-Abu-AmaraDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Tal Shay
Meirav Galun
Naomi Cohen
Steven J Isakoff
Zvi Kam
Benjamin Geiger
Weizmann Institute of Science · ILMassachusetts General Hospital · US

Funding

STRUCTUREU54GM064346 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI IMPERIALI, BARBARA · 2001 to 2010
$74.9M
NIGMS NIH HHS U54 GM064346NIGMS NIH HHS U54GM64346
6 · The paper itself

Abstract

backgroundCell migration is a highly complex process, regulated by multiple genes, signaling pathways and external stimuli. To discover genes or pharmacological agents that can modulate the migratory activity of cells, screening strategies that enable the monitoring of diverse migratory parameters in a large number of samples are necessary. METHODOLOGY: In the present study, we describe the development of a quantitative, high-throughput cell migration assay, based on a modified phagokinetic tracks (PKT) procedure, and apply it for identifying novel pro-migratory genes in a cancer-related gene library. In brief, cells are seeded on fibronectin-coated 96-well plates, covered with a monolayer of carboxylated latex beads. Motile cells clear the beads, located along their migratory paths, forming tracks that are visualized using an automated, transmitted-light screening microscope. The tracks are then segmented and characterized by multi-parametric, morphometric analysis, resolving a variety of morphological and kinetic features.

conclusionsIn this screen we identified 4 novel genes derived from breast carcinoma related cDNA library, whose over-expression induces major alteration in the migration of the stationary MCF7 cells. This approach can serve for high throughput screening for novel ways to modulate cellular migration in pathological states such as tumor metastasis and invasion.

Indexed as

Cell Line, TumorHumansNeoplasm MetastasisNeoplasms

Identifiers

PMID18213366
PMCPMC2195451
OpenAlexW2116477728

What OpenQuestion holds

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LicenceCC BY
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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.